Dr Harikumar R - Bannari Amman Institute of Technology

Experience Type	Organization	Date of Joining	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	01.09.2006
Research	Thiagarajar Colllege of Engineering	21.01.2004	30.08.2006	2 Year(s) & 7 Month(s)
Engineering	Amrita Institute of Technology	15.11.2001	20.01.2004	2 Year(s) & 2 Month(s)
Engineering	PSG College of Technology Coimbatore	24.11.2000	13.11.2001	0 Year(s) & 11 Month(s)
Engineering	PSNA College of Engg and Tech Dindigul	02.07.1990	22.11.2000	10 Year(s) & 3 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E	ECE	Regional Engineering College Trichy	Bharathidasan University, Tirchy	1988
M.E	Applied Electronics	College of Engineering	Anna University, Chennai	1990
Ph.D	Bio signal Processing	Thiagarajar College of Engineering	Anna University, Chennai	2009

S No.	Subject Area
1	Bio signal processing
2	Soft Computing

Sannasi Chakravarthy S R, Harikumar Rajaguru, “Breast Tumor Classification Using Boosting and LSTM Models with Chaotic Crow-Search Algorithm”, Proceedings of the 3rd International Conference on Signal and Data Processing (ICSDP 2023), pp. 305-314, May 2025, DOI: https://link.springer.com/chapter/10.1007/978-981-97-9578-9_27

Karthikamani R, Harikumar R, “Enhancement of Liver Cirrhosis Detection from Ultrasonic Images Through Clustering-Based Features and Classifiers”, “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization”, Volume No.13, Issue No.1, Pages.1-14, https://doi.org/10.1080/21681163.2025.2549767.

Manjurathi B, Harikumar R, “Hybrid Particle Swarm Optimization Approach for the Minimization of Power Consumption in Digital Integrated Circuit Testing”, “IETE Journal of Research”, Volume No.71, Issue No.12, Pages.1–9, July 2025, https://doi.org/10.1080/03772063.2025.2540045

Gowri Shankar Manivannan, Karthikeyan S,Harikumar R, Satish V Talawar, Rajanna Siddaiah, “A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHis Images in the Quest for Precision”, “”International Journal of Computational Intelligence Systems’, Volume No.18/133, Issue No. 1, Pages.1-33, Jun 2025, DOI: 10.1007/s44196-025-00877-6.

Kalaiyarasi M, Harikumar R, Saravanan R, Karthikamani R, “Performance Evaluation of Classification Models for Respiratory Disease Detection Using Wiener-Ville Distribution Features”, “International Conference on Smart Technologies, Communication and Robotics”, Pages.1-6, Jun 2025, DOI: 10.1109/STCR62650.2025.11019754.

Sannasi Chakravarthy S R, Harikumar R. “Hybrid Deep Learning Framework for Emotion Classification of BCI Data Using Autoencoder-based Feature Extraction and Stacked Ensemble Learning”, “International Conference on Smart Technologies, Communication and Robotics”, Pages.1-4, Jun 2025, DOI: 10.1109/STCR62650.2025.11019900.

Kalaiyarasi M, Harikumar R, Saravanan R, “Performance Assessment of Machine Learning Classifiers for Detecting Heart Rate Variations from PPG Signals”, “International Conference on Smart Technologies, Communication and Robotics”, Jun 2025, DOI: 10.1109/STCR62650.2025.11019147.

Harish C, Karthikeyan S, Harikumar R, Karuppusamy V, Jaiprasad R, Gowthama Senthur E, “Hierarchical Deep Learning Framework with CBAM and TBAM Techniques for Feature Fusion in Colon Cancer Classification from Histopathological Images”, “International Conference on Smart Technologies, Communication and Robotics”, Jun 2025, DOI: 10.1109/STCR62650.2025.11019763.

Karthikeyan S, Harikumar R, “Lung Cancer Detection in Histopathological Images Using Lion Optimization Algorithm and Machine Learning Classifiers”, “International Conference on Smart Technologies, Communication and Robotics”, Jun 2025, DOI: 10.1109/STCR62650.2025.11019186.

“Dharanidharan S, Mohammed Bathrul Muzzammil A M, Moaid Amir, Dinesh C, Harikumar R,”Enhancing Machine Learning Classifiers for Prostate Cancer Detection through Feature Selection”,”International Conference on Smart Technologies, Communication and Robotics”, Jun 2025.DOI: 10.1109/STCR62650.2025.11019701.

Mohamed Afsal J, Dhamodharan B, Hariharan C, Dinesh C, Harikumar R “”Machine Learning-Driven Early Detection and Monitoring of Respiratory Disorder Using PCO₂ Analysis”” ,””International Conference on Smart Technologies, Communication and Robotics””, Jun 2025.DOI: 10.1109/STCR62650.2025.11019790.

Karthikamani R, Harikumar R, Sathish Kumar R, Kalaiyarasi M, ” Performance Analysis of Classifiers for Liver Cirrhosis Detection Using Fast Hadamard-EHO Transform Features”, “International Conference on Smart Technologies, Communication and Robotics”, Jun 2025, DOI:10.1109/STCR62650.2025.11020344.

Karthikamani R, Harikumar R, “Novel Hybrid Feature Extraction for Enhanced Liver Abnormality Detection Using Bio-Inspired Classifiers”, “International Conference on Smart Technologies, Communication and Robotics”, Pages.1-6, Jun 2025, DOI: 10.1109/STCR62650.2025.11019646.

Karthika M S, Harikumar R, Ajin R Nair, “Hybrid FRFT HS Framework for High Accuracy Lung Cancer Classification from Gene Expression Data”, “International Conference on Smart Technologies, Communication and Robotics”, Volume No.1, Issue No. 1, Pages. 1-6, Jun 2025, DOI: 10.1109/STCR62650.2025.11020252.

Karthikeyan S, Harikumar R, “Sequential Res Net Framework for Lung Cancer Classification: A Comparative Analysis of Bottom-up and Top-down Approaches”, “International Conference on Smart Technologies, Communication and Robotics”, Volume No. 1, Issue No.1, , Pages.1-6,Jun 2025, DOI: 10.1109/STCR62650.2025.11019405.

Karthikeyan Shanmugam, Harikumar Rajaguru,”Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images”, “Diagnostics”, Volume .No.15 , Issue No.7 , Pages-1-31, 2025, https://doi.org/10.3390/diagnostics15070805.

Manochithra A S, Harikumar Rajaguru, Kalaiyarasi M, “Early Detection and Monitoring of Respiratory Disorders Using LASSO Regression on PPG Signals with Elephant Search Optimization”, ” Journal of Innovative Image Processing”, Volume No. 7, Issue No. 1 (2025), Pages. 74–96, https://doi.org/10.36548/jiip.2025.1.004, 2025.

Chellappan D and Harikumar Rajaguru, “Swarm Intelligence Feature Selection and Possibilistic Fuzzy c-Means Approach for Enhancement of Classifier Performance in Detection of Diabetes from Microarray gene”,” TENCON 2024 – 2024 IEEE Region 10 Conference (TENCON), Singapore, 2024, Pages. 1503-1506, doi: 10.1109/TENCON61640.2024.10902807.

Dinesh Chellappan, Harikumar Rajaguru, “Leveraging Minimum Relative Entropy and Meta-Heuristic Feature Selection for Enhanced Microarray Gene Data Classification in Diabetes” , “2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC)”, Volume .No.1, Issue No.1, Pages.1 to 6, DOI.10.1109/R10-HTC59322.2024.10778824, 2025.

Dinesh Chellappan & Harikumar Rajaguru , “Generalizability of Machine Learning Models for Diabetes Detection a Dtudy with Nordic Islet Transplant and PIMA Datasets”,”Scientific Reports”, Volume .No. 15/4479 , Issue No.1 , Pages. 1-27, DIO.10.1038/s41598-025-87471-0

Kalaiyarasi M, Karthikeyan S, Harikumar R, “Optimizing Breast Cancer Detection with Histopathological Images: A Machine Learning and Deep Learning Approach,” 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2024, pp. 1497-1504, doi: 10.1109/ICECA63461.2024.10801045.

Divya R, Vanathi P T, Harikumar R. (2024). “An Optimized Cardiac Risk Levels Classifier Based on GMM with Min- Max Model from Photoplethysmography Signals”, The Scientific Temper, 15(03), 2968–2977. Https://Doi.Org/10.58414/Scientifictemper.2024.15.3.70

S Palanisamy, Harikumar R, “Leveraging Classifier Performance Using Heuristic Optimization for Detecting Cardiovascular Disease From Ppg Signals” , https://doi.org/10.3390/diagnostics14202287

Ajin R Nair, Harikumar Rajaguru, M S Karthika, C Keerthivasan, “Metaheuristic Integrated Machine Learning Classification of Colon Cancer Using STFT LASSO and EHO Feature Extraction from Microarray Gene Expressions. Sci Rep 14, 16485 (2024). Https://Doi.Org/10.1038/S41598-024-67135-1.

Prabhakar S K, Harikumar Rajaguru, Dong-Ok Won, “Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification. Diagnostics 2024, 14, 1857. https://doi.org/10.3390/diagnostics14171857

Gowri Shankar Manivannan, Harikumar Rajaguru, Rajanna S, Satish V Talawar, “Cardiovascular Disease Detection from Cardiac Arrhythmia ECG Signals Using Artificial Intelligence Models with Hyperparameters Tuning Methodologies”, Research Article, Volume 10, Issue 17, E36751, Https://Doi.Org/10.1016/J.Heliyon.2024.E36751

Karthika M S, Harikumar Rajaguru, Ajin R Nair, “Performance Enhancement of Classifiers Through Bio Inspired Feature Selection Methods for Early Detection of Lung Cancer from Microarray Genes”, Heliyon, Volume 10, Issue 16, 2024, E36419, Issn 2405-8440, Https://Doi.Org/10.1016/J.Heliyon.2024.E36419.

Harikumar R, Chellappan Dinesh, (2024). “Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis”. 10.20944/preprints202406.1948.v1.

M S Karthika, Harikumar Rajaguru, Ajin R Nair, “Wavelet Feature Extraction and Bio-Inspired Feature Selection for the Prognosis of Lung Cancer − A Statistical Framework Analysis, Measurement, Volume 238, 2024, 115330, ISSN 0263-2241, Https://Doi.Org/10.1016/J.Measurement.2024.115330.

Karthikamani R and Harikumar Rajaguru, (2024). “Classification of Liver Abnormality In Ultrasonic Images Using Hilbert Transform Based Feature”, In: Vlad, S., Roman, N.M. (EDS) 8th International Conference on Advancements of Medicine and Health Care Through Technology. Meditech 2022. Ifmbe Proceedings, Vol 102. Springer, Cham. Https://Doi.Org/10.1007/978-3-031-51120-2_6, 2024.

Harikumar R and Sannasi Chakravarthy S R, “Classification of Wisconsin Breast Cancer Data With Extreme Learning Machine and Osprey Optimization Algorithm”, Bioengineering-Basel, Vol. No.1, Issue No.1, Jan 2024

Karthikamani Ramamoorthy and Harikumar R, “Exploitation of Bio-Inspired Classifiers for Performance Enhancement In Liver Cirrhosis Detection From Ultrasonic Images”, 237 Journals Awarded Impact Factor, Volume 9 Issue 6 10.3390/Biomimetics9060356

Harikumar R, Karthika M S and Ajin R Nair , “Enhancement of Classifier Performance With Adam and Ran Adam Hyper-Parameter Tuning for Lung Cancer Detection From Microarray Data In Pursuit of Precision”, Vol.No.11, Issue No.4, 45352, Doi: 10.3390/Bioengineering11040314

Harikumar R, and Kalaiyarasi M, “A Framework for Performance Enhancement of Classifiers In Detection of Prostate Cancer From Microarray Gene”, Vol.No.10, Issue No.9, 45384, Doi: 10.5755/J02.Ms.34033

Harikumar Rajaguru & S. R. Sannasi Chakravarthy, “Performance Comparison of Machine Learning Algorithms In Identifying Dry and Wet Spells of Indian Monsoon”, In: Smys, S., Balas, V.E., Palanisamy, R. (EDS) Inventive Computation and Information Technologies. Lecture Notes In Networks and Systems, Vol 336. Springer, Singapore. Https://Doi.Org/10.1007/978-981-16-6723-7_19.

Karthikamani R and Harikumar Rajaguru, (2024). “Classification of Liver Abnormality In Ultrasonic Images Using Hilbert Transform Based Feature”, In: Vlad, S., Roman, N.M. (EDS) 8th International Conference on Advancements of Medicine and Health Care Through Technology. Meditech 2022. Ifmbe Proceedings, Vol 102. Springer, Cham. Https://Doi.Org/10.1007/978-3-031-51120-2_6

Rajaguru H, Kalaiyarasi M, Santhosh B and Senthamil Selvi A, (2024). “Detection of Respiratory Disorder and Performance Analysis From Pages.g Signals”, In: Vlad, S., Roman, N.M. (EDS) 8th International Conference on Advancements of Medicine and Health Care Through Technology. Meditech 2022. Ifmbe Proceedings, Vol 102. Springer, Cham. Https://Doi.Org/10.1007/978-3-031-51120-2_25

S. R. S. Chakravarthy Et Al., “Prediction of Water Quality Using Softmax-Elm Optimized Using Adaptive Crow-Search Algorithm,” In IEEE Access, Vol. 11, Pages. 140900-140913, 2023, Doi: 10.1109/Access.2023.3339564.

M Santhosh Kumar, M Harini, Kalaiyarasi M and Harikumar R, “Eeg Signals: Performance Analysis of the Firefly Optimization Technique for Classifying Epilepsy Risk Levels,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10396944.

K Nirmalakumari, Harikumar R and P Rajkumar, “Leukemia Cancer Classification Using Extrusive Genes From Microarray Data”, AIP Conf. Proc. 2725, 020005 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125232.

Karthika M S, H. Rajaguru and A. R. Nair, “Analysis of Machine Learning Classifiers for the Detection of Lung Cancer From Micro Array Gene Data,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10396899.

Kalaiyarasi M, Harikumar R and Saravanan Ravi, “Pfcm Approach for Enhancing Classification of Colon Cancer Tumors Using Dna Microarray Data,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10397064.

M. Kalaiyarasi, H. Rajaguru and S. Ravi, “Respiratory Disorder Detection and Performance Analysis From Pages.g Signals Using Short-Time Fourier Transform (Stft) Approach,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10396883.

Kalaiyarasi, Harikumar R, Ganesh Babu C, “Lung Cancer Detection and Classification for Microarray Gene Data Using Classifiers “, AIP Conf. Proc. 2725, 020009 (2023), Volume 2725, Issue 1, 4 April 2023,, Https://Doi.Org/10.1063/5.0125201.

C. Harish, H. Rajaguru and S. Karthikeyan, “A Comprehensive Deep Learning Approach for Colon Cancer Prediction Using Histopathological Image Analysis,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10396999.

K. Chandradass, A. R. Nair and H. Rajaguru, “Early Detection and Prognosis of Brain Tumor From Micro Array Gene Data Using Machine Learning Classifiers,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-5, Doi: 10.1109/STCR59085.2023.10396862.

S. Karthikeyan and H. Rajaguru, “An Algorithmic Approach for the Detection and Classification of Lung Cancer From the Histopathological Images,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/STCR59085.2023.10397024.

D. Chellappan and H. Rajaguru, “Significance of Lasso Regression As Feature Extraction Techniques In Diabetic Detection,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-4, Doi: 10.1109/STCR59085.2023.10397006.

R Karthikamani and Harikumar R, “Performance Analysis of Classifiers In the Detection of Seizer and Normal Stages From Eeg Signals”, AIP Conf. Proc. 2725, 020007 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125437.

R. Karthikamani and H. Rajaguru, “Classification of Breast Cancer: A Comparative Study Using K-Means Clustering-Based Feature Extraction and Hybrid Classifier,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-4, Doi: 10.1109/STCR59085.2023.10396998.

S.R.Sannasi Chakravarthy,N.Bharanidharan, Harikumarrajaguru , “ Deep Learning-Based Metaheuristic Weighted K-Nearest Neighbor Algorithm for the Severity Classification of Breast Cancer”, Irbm, Pages.1-2, 2023

J Poornimasre, Harikumar R and P Saravanakumar, Zfsa2: A Power Aware X – Bit Filling Approach for Vlsi Circuits”, AIP Conf. Proc. 2725, 040003 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125588.

J. Poornimasre; Harikumar Rajaguru; P. Saravanakumar, “An Analysis of Knn Model: Low Power Vlsi Testing”, AIP Conf. Proc. 2725, 040004 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125589.

Harikumar R, M Gowri Shankar, S Mohammed Irfan and C Mukesh Balaji, “Performance Analysis of Classifiers In Detection of Conscious State From Alcoholic Eeg Signals”, AIP Conf. Proc. 2725, 020003 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125223.

Harikumar R, M Gowri Shankar, S P Nanthakumar and I Arul Murugan, “Performance Analysis of Classifiers In Detection of Cvd Using Pages.g Signals”, AIP Conf. Proc. 2725, 020002 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125222.

K Nirmalakumari, Harikumar R and P Rajkumar, “Lymphoma Cancer Data Classification With Eminent Features”, AIP Conf. Proc. 2725, 020011 (2023), Volume 2725, Issue 1, 4 April 2023, Https://Doi.Org/10.1063/5.0125233.

S. R. Sannasi Chakravarthy and H. Rajaguru, Breast Tumor Classification Using Transfer Learning With Adaptive Crow Search Optimization,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-5, Doi: 10.1109/STCR59085.2023.10396958.

Gowthami S, Residual Generative Adversarial Adaptation Network for the Classification of Melanoma, International Journal of Computers Communications & Control, Vol. No.18/5274, Issue No.6, Oct 2023

Harikumar R and Dinesh Chellappan, Enhancement of Classifier Performance Using Swarm Intelligence In Detection of Diabetes From Pancreatic Microarray Gene Data, Biomimetics, Vol. No.8, Issue No.6, Oct 2023

Harikumar R and Sivamani P, “Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers In the Detection of Cardiovascular Disease From Pages.g Signals”, Bioengineering-Basel, Vol. No.10, Issue No.6, Jun 2023

Harikumar R and Karthikeyan S, Exploration and Enhancement of Classiﬁers In the Detection of Lung Cancer From Histopathological Images, Diagnostics, Vol. No.13, Issue No.20, Oct 2023

Harikumar Rajaguru, A. Vigneshkumar & M. Gowri Shankar,”Alcoholic Eeg Signal Classification Using Multi-Heuristic Classifiers With Stochastic Gradient Descent Technique for Tuning the Hyperparameters”, Iete Journal of Research, Pages.1-16.,10 Jan 2023.

Sannasi Chakravarthy S R, Harikumar R and Bharanidharan N, “Deep Learning-Based Metaheuristic Weighted K-Nearest Neighbor Algorithm for the Severity Classification of Breast Cancer”, Irbm, Vol. No.44, Issue No.3, Jun 2023

Ajin R Nair, Harikumar R and Karthika M S, Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers In Detection of Lung Cancer From Microarray Gene A Paradigm Shift, Bioengineering-Basel, Vol. No.10, Issue No.8, Aug 2023

Chellappan D and Harikumar Rajaguru, “Detection of Diabetes Through Microarray Genes With Enhancement of Classifiers Performance Diagnostics (Basel)”, 2023 Aug 11;13(16):2654. Doi: 10.3390/Diagnostics13162654. Pmid: 37627916; Pmcid: Pmc10453776, 2023.

S. Gowthami and Harikumar Rajaguru, “Performance Analysis of Melanoma Classifiers With Cnn-Based Segmentation Framework “, AIP Conf. Proc. 2725, 020006 (2023), Volume 2725, Issue 1, Https://Doi.Org/10.1063/5.0125142.

Shivappriya, Shanmugam, A., Hemanth-Duraisamy, J & Rajaguru, H.,”Prediction of Cardiac Arrhythmia Using Multi Class Classifiers By Incorporating Wavelet Transform Based Features”, Dyna, Vol.No.97, Issue 4, Pages.-418-424, 2022.

R Karthikamani, & Rajaguru H., “Detection of Liver Abnormalities—A New Paradigm In Medical Image Processing and Classification Techniques”, Int J Imaging Syst Technol., Pages.-1‐21, 2022.

Sannasi Chakravarthy S R, Harikumar R and Sundaresan Chidambaram, “Processing of Wisconsin Breast Cancer Data Using Ebola Optimization Algorithm With Mixture Kernel Svm,” 2022 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2022, Pages. 1-4, Doi: 10.1109/STCR55312.2022.10009386.

Ganesh Babu C, Gowri Shankar M, Harikumar R, Priyanka G S and Anuradha T, “Analyzing Haar and Db2 With Compensatory Gmm Classifier for Epilepsy Detection,” 2022 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2022, Pages. 1-4, Doi: 10.1109/STCR55312.2022.10009556.

Harikumar R, Sannasi Chakravarthy S R and Sundaresan Chidambaram, “Gaussian Mixture Model Based Hybrid Machine Learning for Lung Cancer Classification Using Symptoms,” 2022 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2022, Pages. 1-4, Doi: 10.1109/STCR55312.2022.10009440.

Prabhakar Sk, Rajaguru H, So K and Won D-O , ” A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network”. Front. Comput. Neurosci. 16:900885, Pages.1-17,July 2022.

Ganesh Babu C, Gowri Shankar M and Harikumar R, “Performance Analysis of Lion Optimization Algorithm With Hybrid Classifier for Epilepsy Detection,” 2022 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2022, Pages. 1-3, Doi: 10.1109/STCR55312.2022.10009494.

Sunil Kumar Prabhakar , Harikumar Rajaguru, Chulho Kim, Dong-Ok Won,” A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification. Frontiers In Human . Neuroscience”. 16:895761. Vol:16, Article 895761,June 2022.

Gowthami S and Harikumar R, “Performance Analysis of Incremental Boosting Based Transfer Learning In Deep Cnn,” 2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2i4), Bangalore, India, 2022, Pages. 1-6, Doi: 10.1109/C2i456876.2022.10051386.

Prabhakar S.K , Rajaguru H,Ry S, Jeong I.C , Won D O ,”A Holistic Strategy for Classiﬁcation of Sleep Stages With Eeg. Sensors 2022″, Vol 22, No: 9, 3557,Pp1-24, May/June 2022,.

S R. Sannasi Chakravarthy, Rajaguru Harikumar” Voting Based Cad Model for Breast Cancer Classification” , S. Vlad and N. M. Roman(EDS.): Meditech 2020, Ifmbe Proceedings 88, Pages. 151–160, 2022.

N Bharanidharan ,Rajaguru Harikumar, “Modified Adam To Update Control Parameters of Crow Search Algorithm In Transformation Technique Based Dementia Mri Image Classification” , S. Vlad and N. M. Roman(EDS.): Meditech 2020, Ifmbe Proceedings 88, Pages. 121–131, 2022.

Rajaguru Harikumar; Prabhakar Sunil Kumar, “Margin Pruning Adaboost Classification With Nature Inspired Optimization for Alcoholic Eeg Classification”, S. Vlad and N. M. Roman(EDS.): Meditech 2020, Ifmbe Proceedings 88, Pages. 35–44, 2022.

Harikumar Rajaguru ,Gowri Shankar M ,Santhosh B , Senthamil Selvi A,” Logistic Regression Classifier With Hybrid Dimensionality Reduction Techniques for Epilepsy Detection From Eeg Signals” , Second International Conference on Smart Technologies, Communication, and Robotics, IEEE, 2022.

Harikumar Rajaguru, Gowri Shankar M, Rishikesan J, Sundar K ,” Performance Analysis of Cat Swarm Optimization With Soft Discriminant Classifier for Diagnosis of Epilepsy Using Eeg Signals “, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022),December 2022.

K Vilohit, Bharanidharan N, Harikumar Rajaguru,”Improvisation of Decision Tree Classification Performance In Breast Cancer Diagnosis Using Elephant Herding Optimization”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022.

Shivappriya S N,Pasupathy S A, Harikumar R,Shanmuga Priya J, Pavenashri Raj, Vikram L,”A Customized Deep Learning Algorithm for Prediction of Eye Diseases From Color Fundus Photography”,Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022.

Prabhakar Sk, Ju Y-G, Rajaguru H and Won D-O ,”Sparse Measures With Swarm-Based Pliable Hidden Markov Model and Deep Learning for Eeg Classification” Front. Comput. Neurosci. 16:1016516., 2022.

Chakravarthy Sr, Rajaguru H,”Skmat-U-Net Architecture for Breast Mass Segmentation”, Int J Imaging Syst Technol. 2022;1‐9. June 2022.

M. Gowri Shankar, C., Ganesh Babu & Harikumar Rajaguru, “Detection of Congestive Heart Failure With Nature-Inspired Optimization and Classifiers Performance Amelioration From Ecg Signals”, Iete Journal of Research, Pages.1-14, June 2022.

S. R. Sannasi Chakravarthy, Harikumar Rajaguru,” Performance Analysis of Ensemble Classifiers and A Two-Level Classifier In the Classification of Severity In Digital Mammograms, Soft Computing, Pages.1-20,July 2022.

C Ganesh Babu, M Gowri Shankar & Harikumar Rajaguru,” Performance Exploration of Multiple Classifiers With Grid Search Hyper Parameter Tuning for Detecting Epileptic Seizures From Eeg Signals”, Journal of Scientific & Industrial Research Vol. 81, Pages. 754-766, 2022

M. Kalaiyarasi , Harikumar Rajaguru,” Performance Analysis of Ovarian Cancer Detection and Classification for Microarray Gene Data”, Biomed Research International Volume 2022, Article Id 6750457,Pp 1- 16, July 2022.

Sannasi Chakravarthy Sr, Bharanidharan N, Rajaguru H,” A Systematic Review on Machine Learning Algorithms Used for Forecasting Lake-Water Level Fluctuations”, Concurrency Computat Pract Exper. 2022;E7231. Pages.1-15, July 2022.

Gowthami.S, Harikumar Rajaguru,” Improved Self-Attention Generative Adversarial Adaptation Network-Based Melanoma Classification”, Journal of Intelligent &Fuzzy Systems, September 2022.

Sannasi Chakravarthy S.R, Rajaguru H,”Ensemble-Based Weighted Voting Approach for the Early Diagnosis of Diabetes Mellitus”, In: Karrupusamy P., Balas V.E., Shi Y. (EDS) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, Vol 93. Springer, Singapore.

S. R. Sannasi Chakravarthy, N. Bharanidharan and Harikumar Rajaguru, “Multi-Deep Cnn Based Experimentations for Early Diagnosis of Breast Cancer”, Iete Journal of Research , Pages.1-17, Feb 2022.

M. Gowri Shankar, C. Ganesh Babu, Harikumar Rajaguru,” Classification of Cardiac Diseases From Ecg Signals Through Bio Inspired Classifiers With Adam and R-Adam Approaches for Hyper Parameters Updation”, Measurement,Vol 194 (2022) 111048, 2022.

Sannasi Chakravarthy S.R., Rajaguru H,” Breast Cancer Diagnosis Using Quantum-Inspired Classifie”, In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (EDS) Computational Vision and Bio-Inspired Computing. Advances In Intelligent Systems and Computing, Vol 1420. Springer, Singapore, 2022

R. Karthikamani; Harikumar Rajaguru,”Detection of Liver Cirrhosis In Ultrasonic Images From Glcm Features and Classifiers”, S. Vlad and N. M. Roman(EDS.): Meditech 2020, Ifmbe Proceedings 88, Pages. 161–172, 2022.

Issac Kondreddy, Bharanidharan.N, Harikumar R ,”Feature Selection Using Elephant Herding Optimization Hybridized With Grey Wolf Optimization for Anomaly Detection In Wafer Manufacturing”, Third International Conference on Advanced Computational and Communication Paradigms (Icaccp-2021), Sikkim Manipal Institute of Technology Sikkim , March 22-24 2021.

Harikumar Rajaguru and Sannasi Chakravarthy S R, “Transformation Based Diabetes Classification Using Crow-Search Optimization Algorithm,” 2021 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2021, Pages. 1-4, Doi: 10.1109/STCR51658.2021.9588865.

S N Shivappriya, Harikumar R, M Ramya, U Asiyabegum and D Prasanth, “Disease Prediction Based on Retinal Images,” 2021 Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2021, Pages. 1-6, Doi: 10.1109/STCR51658.2021.9588829.

Bharanidharan N ,Sannasi Chakravarthy S R, Harikumar R ,”Modified Crow Search Algorithm for Enhancing the Classification Performance In Diagnosing Dementia Through Mri Images” , Third International Conference on Advanced Computational and Communication Paradigms (Icaccp-2021) Sikkim Manipal Institute of Technology Sikkim , March 22-24 2021-238651

S.N.Shivappriya, Harikumar Rajaguru, M. Ramya, U. Asiyabegum, D. Prasanth,” Disease Prediction Based on Retinal Images”,First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021.

Harikumar Rajaguru, Nirmalakumari.K,P.Rajkumar,” Prominent Gene Selection and Classification of Colorectal Cancer Using Microarray Data”,First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021.

Harikumar Rajaguru, Karthikamani.R,” Performance Analysis of Classifiers In Detection of Respiratory Disorder Through Capnography”, First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021.

Sunil Kumar Prabhakar , Harikumar Rajaguru, and Dong-Ok Won, “Performance Analysis of Hybrid Deep Learning Models With Attention Mechanism Positioning and Focal Loss for Text Classification”, Hindawi Scientific Programming Volume 2021, Article Id 2420254, 2021.

Rajaguru H ,Sannasi Chakravarthy S R, “Effective Classification Frame Work for Breast Tumors Using Optimized Multi-Kernel Svm With Controlled Skewness”, International Journal of Aquatic Science Issn: 2008-8019,Vol 12, Issue 03, Pages.1604-1612, 2021.

Harikumar Rajaguru, R.Karthikamani ,”Detection of Abnormal Liver In Ultrasonic Images From Fcm Features International Journal of Aquatic Science” Issn: 2008-8019,Vol 12, Issue 03, Pages.1581-1588, 2021.

Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won, “A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques”, Journal of Healthcare Engineering, Vol. 2021, Article Id 6680424, 13 Pages, 2021.

R. Harikumar, C. Ganesh Babu & M. Gowri Shankar,” Extreme Learning Machine (Elm) Based Performance Analysis and Epilepsy Identification From Eeg Signals”, Iete Journal of Research, 2021.

Harikumar Rajaguru,” A Simplified and Efficient Epilepsy Classification Technique From Eeg Signals Using Pca, Arpn Journal of Engineering and Applied Sciences”, Vol.No:16 , Pages.831-836,8, 2021

Sannasi Chakravarthy S.R., H. Rajaguru,” Automatic Detection and Classiﬁcation of Mammograms Using Improved Extreme Learning Machine With Deep Learning”, Irbm, 2021

Sannasi Chakravarthy Sr, Rajaguru H,”Deep-Features With Bayesian Optimized Classifiers for the Breast Cancer Diagnosis”,Int J Imaging Syst Technol. 1–21, 2021

R.Karthikamani,Harikumar Rajaguru,” Analysis of K Means Clustering and Classifiers In Diagnosing Abnormality of the Ultrasonic Liver Images International Journal of Aquatic Science” Issn: 2008-8019,Vol 12, Issue 03, Pages.1589-1595, 2021.

Sannasi Chakravarthy Sr, Rajaguru H,” Effective Breast Tumor Classification Using K Strongest Strength With Local Outlier Factor Algorithm”, International Journal of Aquatic Science Issn: 2008-8019,Vol 12, Issue 03, Pages.1596-1603, 2021.

Sannasi Chakravarthy S. R., Harikumar Rajaguru, “An Effective Hybrid Classifier for Breast Tumor Classification, Arpn Journal of Engineering and Applied Sciences”, Issn 1819-6608, Vol. 16, No. 13, Pages.1412-1417- 2021.

Chakravarthy S R, S. and Rajaguru, H,”A Comparison of Detrend Fluctuation Analysis, Gaussian Mixture Model and Artificial Neural Network Performance In the Detection of Micro Calcification From Digital Mammograms”, Int. J. Biomedical Engineering and Technology, Vol. 37, No. 1, Pages.83–103, 2021

Harikumar R, Monish Ramesh, Manoranjith.K,” Analysis of Epilepsy Risk Levels From Eeg Features Through Support Vector Machines and Minimum Relative Entropy Models”, IOP Conf. Series: Materials Science and Engineering 1084, 2021.

Issac.K., Bharadwaj.K, Bharanidharan.N., Harikumar.R,” Investigation on Enhancing Binary Classification Accuracy of Supervised Classifiers Using Various Transforms”, IOP Conf. Series: Materials Science and Engineering 1084, 2021.

Vigneshkumar Arunachalam, Harikumar Rajaguru, Vinubama.K,Viswanathan Varadaraj , Pavithra Ravikumar,” Domain Translation of Images Using Auto Encoders and Coupled Gans With Unsupervised Learning”, IOP Conf. Series: Materials Science and Engineering 1084, 2021.

Deepa R, Harikumar Rajaguru, Ganesh Babu C,”Analysis of Wavelet Features Softmax Discriminant Classifier for the Detection of Epilepsy”, IOP Conf. Series: Materials Science and Engineering 1084, 2021.

R Harikumar ,R Karthikamani,” Performance Analysis of Classifiers In Detection of Abnormalities From Ultrasonic Images-A Review”,IOP Conf. Series: Materials Science and Engineering 1084, 2021.

Sannasi Chakravarthy S R,Harikumar Rajaguru ,”Ensemble Flower-Pollination Algorithm for Automatic Breast Cancer Classification Using Haar Features”,IOP Conf. Series: Materials Science and Engineering 1084, 2021.

S. R. Sannasi Chakravarthy and Harikumar Rajaguru ,”A Hybrid Classification Framework for the Effective Classification of Breast Tumors Journal of Computational and Theoretical Nano Science”, Vol18, No:3 , Pages.959–965, March 2021

Nirmalakumari K, Rajaguru H,”Enhancing the Performance of Hybrid Evolutionary Algorithms In Microarray Colon Data Classification”, Int J Imaging Syst Technol. 2021;1–14. April 2021

Poornimasre Jegannathan, Harikumar Rajaguru, “An Analysis of Low Power Testing Using K-Means Clustering With Reordering Approach”, Electronics Letters May 2021,

Harikumar Rajaguru ,Sannasi Chakravarthy S R, “Efficient Denoising Framework for Mammogram Images With A New Impulse Detector and Non-Local Means Asian Pacific Journal of Cancer Prevention” , Vol 21,No:1, Pages.-179-183, January 2020.

N. Bharanidharan, R. Harikumar,” Modified Grey Wolf Randomized Optimization In Dementia Classification Using Mri Images”, Iete Journal of Research, 2020

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Ppg Signal Analysis for Cardiovascular Patient Using Correlation Dimension and Hilbert Transform Based Classification, Springer Series New Trends In Computational Vision and Bio-Inspired Computing”, Pages.1103-1110, 2020.

Dr S.N.Shivappriya, Mr T Gowrishankar & Dr.R.Harikumar,” Identification of Cardiac Arrhythmia Using Ecg Signal Based Anfis Classifier”, Tierärztliche Praxis, Vol 40 No 89, Pages.1155-1169,September 2020

Sunil Kumar Prabhakar, Harikumar Rajaguru , Sun-Hee Kim,” Fuzzy-Inspired Photoplethysmography Signal Classification With Bio-Inspired Optimization for Analyzing Cardiovascular Disorders”, Diagnostics 2020, 10, 763;Pp 1-21, September 2020

Chakravarthy Sr, Rajaguru H,” A Novel Improved Crow-Search Algorithm To Classify the Severity In Digital Mammograms”, Int J Imaging Syst Technol, Pages.-1–34, 2020

Sunil Kumar Prabhakar, Harikumar Rajaguru, and Sun-Hee Kim, “An Amalgamated Approach To Bi Level Feature Selection Techniques Utilizing Soft Computing Methods for Classifying Colon Cancer,” Bio Med Research International, Vol. 2020, Article Id 8427574, 13 Pages, 2020.

Bharanidharan N, Rajaguru H,”Dementia Mri Image Classification Using Transformation Technique Based on Elephant Herding Optimization With Randomized Adam Method for Updating the Hyper-Parameters”, Int J Imaging Syst Technol. Pages.-1-25, 2020.

Sunil Kumar Prabhakar, Harikumar Rajaguru, and Sun-Hee Kim,” Schizophrenia Eeg Signal Classification Based on Swarm Intelligence Computing”, Computational Intelligence and Neuroscience Volume 2020, Article Id 8853835, 14 Pages Nov 2020.

Sunil Kumar Prabhakar, Harikumar Rajaguru,” Alcoholic Eeg Signal Classification With Correlation Dimension Based Distance Metrics Approach and Modified Adaboost Classification Heliyon”, Cell Press Volume 6, Issue 12, December 2020.

Kavin Mullai Kalki & Harikumar Rajaguru ,”Chaotic-Based Big Bang Big Crunch Algorithm (Cbca) for Energy Management System of Hybrid Isolated Micro-Grid: An Inherent Control Scheme, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects”, Dec 2020

D Preethi, R S Valarmathi & Harikumar R ,” Energy Efficient Vlsi Decoder Chip With Reduced Papr In Fecg Monitoring”, International Journal of Electronics, 2020

Bharanidharan N, Rajaguru H,” Improved Chicken Swarm Optimization To Classify Dementia Mri Images Using A Novel Controlled Randomness Optimization Algorithm”, Int J Imaging Syst Technol., Pages.-1–16, 2020.

S. K. Prabhakar, H. Rajaguru and S. Lee, “A Framework for Schizophrenia Eeg Signal Classification With Nature Inspired Optimization Algorithms,” In IEEE Access, Vol. 8, Pages. 39875-39897, 2020.

Gowthami, S., Harikumar, R,”Conventional Neural Network for Blind Image Blur Correction Using Latent Semantics. Soft Computing”, 2020

Harikumar Rajaguru, Sanjai Khan N, Vinitha Krishnamoorthy,”Performance Analysis of Classifiers In Identifying Nrem Sleep and Awaken Stages From Eeg Signals”, International Journal of Recent Technology and Engineering (Ijrte) Issn: 2277-3878, Volume-8 Issue-6, Pages.4321-4326, March 2020.

Nirmalakumari K,Rajaguru H, Rajkumar P,” Performance Analysis of Classifiers for Colon Cancer Detection From Dimensionality Reduced Microarray Gene Data”, Int J Imaging Syst Technol. Pages.1-16, 2020.

Poornimasre J,Harikumar R,Saravanakumar P,”A Study on Test Pattern Generation Using Arithmetic Approach for Iscas 85 Benchmark Circuits”, International Journal of Scientific and Technology Research Vol No. 9, Issue 5, , Pages.152-155, May 2020.

R.Harikumar, P Sunil Kumar,” Wavelet Transform Analysis (Haar and Sym8) for Epilepsy Classification With Soft Discriminant Classifier”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 10, Issue 02, Pages. 376–383, Article Id: Ijmet_10_02_039, February 2019.

Sannasi Chakravarthy S R, Harikumar Rajaguru,”Lung Cancer Detection Using Probabilistic Neural Network With Modified Crow-Search Algorithm”, Asian Pacific Journal of Cancer Prevention , Vol 20,No:7, Pages.2159-2166, July 2019.

Harikumar Rajaguru, Monish Ramesh, Manoranjith.K,” Performance Analysis of Classifiers In Identification of Dry and Wet Spells During the Monsoon Period”, International Journal of Recent Technology and Engineering (Ijrte), Volume-8 Issue-2, Pages.3342-3346, July 2019.

Bharanidharan N, Rajaguru H,” Performance Enhancement of Swarm Intelligence Techniques In Dementia Classification Using Dragonfly-Based Hybrid Algorithms”, Int Jimaging Syst Technol., Pages.1-18, 2019.

Sannasi Chakravarthy Sr, Rajaguru H,” Detection and Classification of Microcalcification From Digital Mammograms With Firefly Algorithm, Extreme Learning Machine and Nonlinear Regression Models: A Comparison”, Int J Imaging Syst Technol., Pages.1-21, 2019.

Sannasi Chakravarthy S R, Harikumar Rajaguru,” Comparison Analysis of Linear Discriminant Analysis and Cuckoo-Search Algorithm In the Classification of Breast Cancer From Digital Mammograms Asian Pacific Journal of Cancer Prevention “, Vol 20,No:8, Pages.2333-2337, August 2019.

D. Ramachandran, V. Ponnusamy Thangapandian, H. Rajaguru,” Computerized Approach for Cardiovascular Risk Level Detection Using Photoplethysmography Signals, Measurement”,2019.

Harikumar Rajaguru, Sannasi Chakravarthy S R,” Cumulant Features Based Classification of Brain Mr Images Using Ann and Ls-Svm Algorithm”, International Journal of Innovative Technology and Exploring Engineering (Ijitee) Issn: 2278-3075, Vol. No. 8 , Issue-11, Pages.4008-4012, September 2019.

Sunil Kumar Prabhakar , Harikumar Rajaguru , Seong-Whan Lee,” Metaheuristic Based Dimensionality Reduction and Classification Analysis of Pages.g Signals for Interpreting Cardiovascular Disease”, IEEE Access, Vol 7, Pages.165181-165206, October 2019.

R.Harikumar, P.Sunil Kumar, “Insight To Mutual Information and Matrix Factorization With Linear Neural Networks for Epilepsy Classification From Eeg Signals”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 10, Issue 01, January 2019, Pages. 690–698, Article Id: Ijmet_10_01_070

Harikumar Rajaguru, Sannasi Chakravarthy S R,” Analysis of Decision Tree and K-Nearest Neighbor Algorithm In the Classification of Breast Cancer Asian Pacific Journal of Cancer Prevention” , Vol 20,No:12, Pages.3777-3781, December 2019.

R.Harikumar, P.Sunil Kumar, “Performance Analysis of Pso As Post Classifier In Detection of Epilepsy Risk Levels From Eeg Signals”,International Journal of Mechanical Engineering and Technology (Ijmet) Volume 9, Issue 7, July 2018, Pages.1093–1103, Article Id: Ijmet_09_07_118

Harikumar Rajaguru, Vigneshkumar Arunachalam, “Performance Analysis of Compensatory Expectation Maximization (Em) Classifiers In Detection of Alcoholics From Eeg Signals With Dwt and Psd Features”, Journal of Advanced Research In Dynamical and Control Systems, Special Issue: Vol 10, Pages.362-371, July 2018,.

K.Nirmalakumari, Harikumar Rajaguru, P.Rajakumar, “Early Stage Lung Cancer Detection Using Template Matching and Area Tracing Algorithms, International Journal of Pure and Applied Mathematics”, Vol. No 119, Issue16 , Pages.4485-4491, July 2018.

Sannasi Chakravarthy S R, Harikumar Rajaguru,” Fast and Efficient Image Compression Technique Using Different Encoding Schemes”, International Journal of Pure and Applied Mathematics, Volume 119, No. 16 , Pages.4633-4640, 2018.

R. Harikumar, “Clustering With Fuzzy C-Means and Linear Discriminant Analysis for Epilepsy Classification”, Arpn Journal of Engineering and Applied Sciences , Vol 13, No 20, Pages.571-578, October -2018.

R.Harikumar, P.Sunil Kumar, “Performance Analysis of Pso-Em Hybrid Edge Detection In Ultrasound Images”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 9, Issue 11, Pages.106–113, Article Id: Ijmet_09_11_013, 2018

R.Harikumar, R N Susheel “Solar Based Automated Plant Watering Bot for Indian Agriculture Scenario”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 9, Issue 12, Pages.288–294, Article Id: Ijmet_09_12_034, December 2018.

Harikumar Rajaguru, Vigneshkumar Arunachalam,”Correlation Dimension Based Performance Analysis of Alcoholic Eeg Data With Pca and Pso Classifiers”,International Journal of Recent Technology and Engineering (Ijrte) Issn: 2277-3878, Volume-7 Issue-4s2, Pages.403-406, December 2018.

S N Shivappriya, Divya Raju, R. Harikumar,” Augmented Model of Stacked Auto Encoder for Image Classification”, International Journal of Innovative Technology and Exploring Engineering (Ijitee) Issn: 2278-3075, Volume-8 Issue-2s2, Pages. 340-344, December 2018

Bharanidharan N, Harikumar Rajaguru, Geetha V ,”Performance Analysis of Knn Classifier With and Without Glcm Features In Brain Tumor Detection” , International Journal of Innovative Technology and Exploring Engineering (Ijitee) Issn: 2278-3075, Volume-8 Issue-2s2 December, 2018 Pages.103-106.

Shivappriya S.N, Harikumar R,” Performance Analysis of Deep Neural Network and Stacked Autoencoder for Image Classification”. In: Anandakumar H., Arulmurugan R., Onn C. (EDS) Computational Intelligence and Sustainable Systems. Eai/Springer Innovations In Communication and Computing. Springer, 2018.

Poornimasre J,Harikumar R,Saravanakumar P,” A Comparative Study on Genetic Algorithm and Ant Colony Algorithm for Testing S27 Benchmark Cyclic Sequential Circuits”, International Journal of Engineering and Advanced Technology 8(2), Pages. 33-38, 2018.

Karthick Ganesan and Harikumar Rajaguru,” Performance Analysis of Knn Classiﬁer With Various Distance Metrics Method for Mri Images “,J. Wang Et Al. (EDS.), Soft Computing and Signal Processing, Advances In Intelligent Systems and Computing 900, 2018.

R.Harikumar, P.Sunil Kumar, “Analysis of Singular Value Decomposition (Svd) and Radial Basis Function (Rbf) Neural Networks for Epilepsy Risk Level Classification”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 9, Issue 1, Pages. 369–377, Article Id: Ijmet_09_01_040, January 2018.

R.Harikumar, P.Sunil Kumar, “Analysis of Hierarchical Functions Decision Trees and Minimum Relative Entropy In the Detection of Epilepsy Risk Levels From Eeg Signals ”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 9, Issue 2, Pages. 1–14 Article Id: Ijmet_09_02_001, February 2018.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Fuzzy Optimization With Modified Adaboost Classifier for Epilepsy Classification From Eeg Signals”, Springer Lecture Notes on Computational Vision and Biomechanics, Vol 28, Pages.604-612, February 2018.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “E-Health Design With Spectral Analysis, Linear Layer Neural Networks and Adaboost Classifier for Epilepsy Classification From Eeg Signals”, Springer Lecture Notes on Computational Vision and Biomechanics, Vol 28, Pages.634-640., February 2018.

Harikumar Rajaguru, Sunil Kumar Prabhakar, ” A Hybrid Classification Model Using Artificial Bee Colony With Particle Swarm Optimization and Minimum Relative Entropy As Post Classifier for Epilepsy Classification”, Springer Lecture Notes on Computational Vision and Biomechanics, Vol 28, Pages.593-603., February 2018.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Application of Morphological Filtering With Modifications In Linear Discriminant Analysis Classifier for Epilepsy Classification From Eeg Signals”, Springer Lecture Notes on Computational Vision and Biomechanics, Vol 28, Pages.613-624, February 2018.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Analysis of Dimensionality Reduction Techniques With Abc-Pso Classifier for Classification of Epilepsy From Eeg Signals”, Springer Lecture Notes on Computational Vision and Biomechanics, Vol 28, Pages.625-633, February 2018.

R.Harikumar, P.Sunil Kumar, “Simulation of Photoplethysmographic Glucometer”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 9, Issue 3, Pages. 375–381 Article Id: Ijmet_ 09_03_037, March 2018.

R.Harikumar, P.Sunil Kumar, “Design and Simulation of Simplified Epilepsy Risk Level Classification Technique From Eeg Signals”, International Journal of Pure and Applied Mathematics, Volume 119, No. 10 , March 2018, Pages.1967-197

R.Harikumar, P.Sunil Kumar, “Soft Computing Techniques for Epilepsy Diagnosis- A Case Study”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 9, Issue 4, Pages. 424–432 Article Id: Ijmet_ 09_04_048, 2018.

S.N.Shivappriya,R.Harikumar, A.Kalaiselvi, “Classification and Prediction of Cardiac Vascular Disease”, International Journal of Pure and Applied Mathematics, Volume 119, No. 15 , Pages.2483-2491, June 2018.

R.Harikumar, P.Sunil Kumar, “Performance Analysis of Extreme Learning Machines In Detection and Classification of Epilepsy Risk Levels From Eeg Signals”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 9, Issue 6, Pages. 210–222, Article Id: Ijmet_09_06_025, 2018.

R.Harikumar, P.Sunil Kumar, “Fpga Implementation of A Wavelet Neural Network With Particle Swarm Optimization Learning for Epileptic Seizure Detection”, International Journal of Mechanical Engineering and Technology (Ijmet) Volume 9, Issue 6, Pages. 1141–1154, Article Id: Ijmet_09_06_126, 2018.

R.Harikumar,P.Sunilkumar,” Wavelet Neural Networks, Elman Back Propagation and Multilayer Perceptrons for Epilepsy Classification From Eeg Signals”, Research Journal of Pharmacy and Technology, Vol 11, No:4, Pages.1301-1306, 2018.

R Harikumar, P Sunil Kumar, “Development of An Efficient Epilepsy Classification System From Eeg Signals for Telemedicine Application”, International Journal of Civil Engineering and Technology (Ijciet) Volume 8, Issue 12, Pages. 38–52, Article Id: Ijciet_08_12_005, December 2017.

R Harikumar, P Sunil Kumar, “An Insight To Breast Cancer Classification With Ant Colony System Algorithm”, International Journal of Civil Engineering and Technology (Ijciet) Volume 8, Issue 12, Pages. 53–59, Article Id: Ijciet_08_12_006, December 2017.

R Harikumar, P Sunil Kumar, “Performance Analysis of Logistic Regression and Kernel Logistic Regression for Breast Cancer Classification”, International Journal of Civil Engineering and Technology (Ijciet) Volume 8, Issue 12, Pages. 60–68, Article Id: Ijciet_08_12_007, December 2017.

R Harikumar, P Sunil Kumar, “Analysis of Genetic Algorithm Driven Autoencoders for Epilepsy Classification Using Certain Post Classifiers”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 8, Issue 12, Pages. 80–90, Article Id: Ijmet_08_12_009, December 2017.

R.Harikumar, P.Sunil Kumar, “Analysis of Probabilistic Neural Networks With Dimensionality Reduction for Epilepsy Classification From Eeg”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 8, Issue 12, Pages. 91–98, Article Id: Ijmet_08_12_010, December 2017.

R.Harikumar, P.Sunil Kumar, “Analysis of Pac Learning Based Bayesian Optimization With Auto Encoders for Epilepsy Classification From Eeg Signals”, International Journal of Mechanical Engineering and Technology (Ijmet)Volume 8, Issue 12, Pages. 206–212, Article Id: Ijmet_08_12_021, December 2017.

M.Jothi, Dr.N.B.Balamurugan, Dr.R.Harikumar, “Performance Analysis of Fuzzy Processor for A Healthcare Application – Diabetic Epilepsy Risk Classifier”, Asian Journal of Research In Social Sciences and Humanities”, Vol.7, No.2, Pages.124-140, 2017.

K.Kavin Mullai ,Dr.R.Harikumar ,“ Intellignet Control Based Dynamic Power Tracking for Wind Energy Conversion System”, Asian Journal of Research In Social Sciences and Humanities”, Vol.7, No.3, Pages.975-984, 2017.

Tm. Navinkumar ,Dr.R.Harikumar ,K.Kavin Mullai, “Zeta Converter -Based Mppt Controller for Wind Driven Induction Generators Supplying Dc Microgrid”, Ssrg International Journal of Electrical and Electronics Engineering– (Iceemst’17) – Special Issue, Pages.8-14, 2017.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Conceptual Analysis of Epilepsy Classification Using Probabilistic Mixture Models”, (International Brain Research Organization (Ibro) on Computational Approaches In Neuroprotection and Neurorehabilitation), Bought Out By International Journal of Bioengineering, Sciences Review and Research Vol. 4 Issue No 1,Pp 44, 2017.

R.Harikumar, P.Sunil Kumar, “ A Unique Approach To Epilepsy Classification From Eeg Signals Using Dimensionality Reduction Technique and Neural Networks,. Circuits and Systems”, Vol 7, No: 8, Pages.1455-1464, 2016.

R.Prabu, Dr.R.Harikumar,” A Performance Analysis of Ga-Elm Classifier In Classification of Abnormality Detection In Electrical Impedance Tomography (Eit) Lung Images “, Asian Journal of Research In Social Sciences and Humanities, Volume : 6, Issue : 6 Pages.1935- 1948, June 2016.

R.Harikumar, P.Sunil Kumar, “Variational Bayesian Matrix Factorization and Certain Post Classifiers for Classification of Epilepsy From Eeg Signals”, Research J. Pharm. and Tech. Vol 9 No.6 Pages.:750-754, June 2016.

R.Harikumar, P.Sunil Kumar, “Intelligent Computing Techniques for Epilepsy Classification From Eeg Signals Utilized for Wireless Telemedicine Systems”, International Journal of Pharmacy & Technology Ijpt, Vol. 8 , Issue No.7 , Issue No.2, Pages.11874-11885, June-2016.

R.Harikumar, P.Sunil Kumar, Manjusha.M ” Comparison of Support Vector Machine With Particle Swarm Optimization Technique for Epilepsy Classification From Eeg”, International Journal of Pharmacy & Technology Ijpt, Vol. 8 Issue No.2 , Pages.11904-11915, June-2016.

R.Prabu,Dr.R.Harikumar,” A Performance Analysis of Ga-Elm Classifier In Classification of Abnormality Detection In Electrical Impednce Tomography (Eit) Lung Images”, Journal of Scientific& Industrial Research, Volume : 75, Issue : 7 Pages.404- 411, July 2016.

R.Harikumar, P.Sunil Kumar, “An Approach Towards Wireless Telemedicine Application With Reduced Papr and Ber for Epilepsy Classification”, Int. J. Pharm. Sci. Rev. Res., 39(1),; Pages: 330-337 ; July – August 2016.

R.Harikumar, Karthick Ganesan B.Vinoth Kumar,” Earlier Detection of Cancer Regions From Mr Image Features and Svm Classiﬁers”, Int J Imaging Syst Technol, Vol 26, Issue 3,196–208, August 2016.

R.Prabu,Dr.R.Harikumar, Dr.S.Raghavan, “Performance Analysis of Elm Classifier for Classification of Electrical Impedance Tomography (Eit) Images With Infinite Feature Selection”,Asian Journal of Research In Social Sciences and Humanities, Volume : 6, Issue : 8 Pages.381- 389, August 2016.

R.Harikumar, P.Sunil Kumar,” Optimization of Fuzzy Output Through Gaussian Mixture Model for Epilepsy Detection” , Research Journal of Pharmaceutical, Biological and Chemical Sciences, Vol.7(5), Pages.:105-113, Sep 2016.

R.Harikumar, P.Sunil Kumar, “Assessment of Epilepsy Classification Using Techniques Such As Singular Value Decomposition, Approximate Entropy, and Weighted K-Nearest Neighbors Measures”, Asian Journal of Pharmaceutical and Clinical Research, Vol. 9(5), Pages.:91-96. Sep 2016.

R.Harikumar, P.Sunil Kumar ,Manjusha.M,” Performance Analysis of Original Particle Swarm Optimization and Modified Pso Technique for Robust Classification of Epilepsy Risk Level From Eee Signals”, International Journal of Pharmacy & Technology Ijpt, Vol. 8 Issue No.3 , Pages.18273-18283, September-2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ A Novel Hybrid Method of Dimensionality Reduction Techniques Followed With A Post Classifier for Assessing Epilepsy Risk Levels From Eeg Signals”, International Journal of Simulation, Systems Science & Technology (Ijssst) Volume.17, Issue.33, Pages.27.1-27. 2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Classification of Epilepsy Risk Using Variable Thresholding Based Feature Extraction Technique and Suitable Post Classifiers”, International Journal of Simulation, Systems Science & Technology (Ijssst) Volume.17, Issue.33, Pages.28.1-28.8,November 2016.

R.Harikumar, P.Sunil Kumar,” A Framework for Epilepsy Classification Using Modified Sparse Representation Classifiers and Naïve Bayesian Classifier From Electroencephalogram”, Journal of Medical Imaging and Health Informatics, Vol 6 , No: 8, Pages.1829–1837, Dec 2016.

B.Vinoth Kumar, R.Hari Kumar, G.Karthick, P.Sunil Kumar, “Medical Image Segmentation Based on Minimization of Region – Scalable Fitting Energy”, Asian Journal of Research In Social Sciences and Humanities”, Vol.6, No.12, Pages.830-840. 2016.

R.Harikumar, P.Sunil Kumar,”Efficient Automatic Seizure Detection Algorithms To Classify Epilepsy From Eeg Signals Using Certain Post Classifiers”, Int. J. Pharm. Sci. Rev. Res., 41(2), Pages: 337-343, November – December 2016.

P. Manimekalai, R. Harikumar, and S. Raghavan,” Sogi Algorithm-Based Shunt Active Power Filter for Grid Integration of Photovoltaic Systems”, J Circuit Syst Comp, Vol 25, January 2016.

Dr.R.Harikumar, B.Manjurathi,” Test Data Compression and Power Reduction Using Similarity Based Reordering Technique for Wireless Systems, Wireless Personal Communications “,An International Journal,X Springer Vol73. No: 1, 2016.

B.Manjurathi,Dr.R.Harikumar,” Analysis of Test Data Compression and Power Reduction Using Multiple Encoding for Opto Electronic Circuits “, Journal of Optoelectronics and Advanced Materials, Vol. 18, Iss. 1-2, 2016, Pages. 112-117, 2016.

K. Kavin Mullai, R. Harikumar and P. Santhoshini ,”Fuzzy Logic Control Based Permanent Magnet Synchronous Generator With Sepic Converter for Wind Energy Conversion System “, Middle-East Journal of Scientific Research 24 (1): 142-148, 2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru,” Performance Analysis of Ica,Pcaeeg As Dimensionality Reduction Techniques With Apen and Src As Post Classifiers for Classification of Epilepsy Risk Levels From Eeg Signals”, International Journal of Advanced Engineering Technology, Vol. Vii, Issue I, Pages.486-489, 2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru ,”Soft Thresholding Techniques With Pca As Post Classifier for Epilepsy Risk Level Classification”, Int J Pharm Bio Sci, 7(2): (B) 687- 693, 2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru,” Utilizing Genetic Algorithms With Dimensionality Reduction Techniques for Epilepsy Classification From Eeg Signals”, International Journal of Pharmacy & Technology, Vol. 8, Issue 1, Pages.11334- 11346, 2016.

R.Harikumar, P.Sunil Kumar, “A Versatile Approach To Epilepsy Classification Using Approximate Entropy As Post Classifier”, International Journal of Current Pharmaceutical Review and Research; 7(3); 166-170 April 2016.

R.Harikumar, P.Sunil Kumar, “A Weighted Knn Measures for Epilepsy Classification From Eeg Signals Utilized In Telemedicine Applications With A Pso Based Reduced Papr and Ber Analysis”, J.Pharm. Sci. & Res. Vol. 8(4), April 2016.

R.Harikumar, P.Sunil Kumar, “Lda, Ga and Svm’s for Classification of Epilepsy From Eeg Signals”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, Vol.7(3), Pages.:2044-2049, May 2016.

R.Harikumar, P.Sunil Kumar, “An Exhaustive Analysis of Code Converters As Pre-Classifiers and Kmeans, Svd, Pca, Em, Mem, Pso, Hpso and Mre As Post Classifiers for Classification of Epilepsy From Eeg Signals”, Journal of Chemical and Pharmaceutical Sciences, Vol.9(3), Pages.:818-822, May 2016.

R.Harikumar, P.Sunil Kumar, “Clinical Health Care for Long Distance Using Matrix Factorization and Mahalanobis Based Sparse Representation Measures for Epilepsy Classification From Eeg Signals” ,Int. J. Pharm. Sci. Rev. Res., 38(1), Pages: 144-148, May – June 2016.

P.Sunil Kumar Dr. R. Harikumar, ” Code Converters With City Block Distance Measures for Classifying Epilepsy From Eeg Signals”, Elsevier – Procedia Computer Science Vol 87, Pages.5 – 11, 2016.

R Harikumar, C Ganeshbabu, M Balasubramani and G A Nivhedhitha.”Performance Analysis of Extreme Learning Machine for Robust Classification of Epilepsy From Eeg Signals”. Ijca Proceedings on International Conference on Innovations In Information, Embedded and Communication Systems Iciiecs(1)

Dr.R.Harikumar, B.Vinoth Kumar,” Performance Analysis of Neural Networks for Classiﬁcation of Medical Images With Wavelets As A Feature Extractor”, Int J Imaging Syst Technol, 25, 33-47, March 2015; Published Online In Wiley Online Library (Wileyonlinelibrary.Com).

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Analysis of Centre Tendency Mode Chaotic Modeling for Electroencephalography Signals Obtained From An Epileptic Patient”, Advanced Studies In Theoretical Physics Vol. 9, March 2015, No. 4, Pages.171 – 177.

P.K.Kowsalya, Dr.R.Harikumar,” Energy Efficient Adaptive Broadcasting Scheme for Wireless Sensor Networks”, Arpn Journal of Engineering and Applied Sciences, Vol 10 No.4 March 2015

Dr.Rharikumar, Dr.M.Balasubramani ,”Performance Analysis of Svd, Ica and Hidden Markov Model In Classification of Epilepsy Risk Level From Eeg Signal”, International Journal of Applied Engineering Research, Issn: 0973-4562, Volume 10, Number:3 (2015), Pages.:6405-6417

R.Harikumar, P.Sunil Kumar, “Analysis of Singular Value Decomposition As A Dimensionality Reduction Technique and Sparse Representation Classifier As A Post Classifier for the Classification of Epilepsy Risk Levels From Eeg Signals”, Journal of Chemical and Pharmaceutical Sciences, Vol.8, Issue 2, Pages.:191-194, 2015.

R.Harikumar, P.Sunil Kumar, “Dimensionality Reduction With Linear Graph Embedding Technique for Electroencephalography Signals of An Epileptic Patient”, Research Journal of Pharmacy and Technology, Vol.8 (5), Pages.: 554-556, 2015.

P.K. Kowsalya, R. Harikumar , R. Valarmathi, “Prolong the Life Time of Wsn Sink Mobility of Pegasis With Bfo”, International Journal of Applied Engineering Research (Ijaer), Vol.10, No 32, Special Issue, Pages : 23417-23422, 2015.

R.Prabu,Dr.R.Harikumar, “Electrical Impedance Tomography (Eit) Imageclassificationusingglcm Basedfeatureextractioninartificial Neural Network (Ann)”,International Journal of Applied Engineering Research (Ijaer), Vol.10, No 38, Special Issue, Pages : 28828-28833, 2015.

R.Harikumar, P.Sunil Kumar, “Dimensionality Reduction Techniques for Processing Epileptic Encephalographic Signals”, Biomedical and Pharmacology Journal, Vol.8, No.1, Pages.103-106, 2015.

R.Harikumar, P.Sunil Kumar, “Performance Comparison of Em, Mem, Ctm, Pca, Ica, Entropy and Mi for Photoplethysmography Signals”, Biomedical and Pharmacology Journal, Vol.8, No.1, Pages.413-418, 2015.

R.Harikumar, P.Sunil Kumar, “ Fuzzy Techniques and Aggregation Operators In Classification of Epilepsy Risk Levels for Diabetic Patients Using Eeg Signals and Cerebral Blood Flow”, Journal of Biomaterials and Tissue Engineering”, Vol.5, No.4, Pages.:316-322, April 2015.

R.Harikumar, P.Sunil Kumar, “Performance Analysis Using Code Converter Approach and the Application of Approximate Entropy As Post Classifier for the Classification of Epilepsy Risk Levels From Eeg Signals”, Asian Journal of Pharmaceutical and Clinical Research, Vol. 8(4), Pages.:287-290. June 2015.

R.Harikumar, P.Sunil Kumar, “Classifiers for the Epilepsy Risk Level Classification From Electroencephalographic Signals”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, Vol.6(4), Pages.:469-474, July 2015.

Harikumar.R and Vijayakumar.T,“A Real Time Experimental Setup for Classification of Epilepsy Risk Levels”, Applied Soft Computing, Vol. 35, Pages.493-501, 2015.

Dr.R.Harikumar, B.Vinoth Kumar,” Performance Analysis of Medical Image Segmentation and Edge Detection Using Mem and Pso Algorithms”, Appl. Math. Inf. Sci. 9, No. 6, Pages.3235-3243, 2015.

R.Harikumar, P.Sunil Kumar, “Fuzzy Mutual Information As A Dimensionality Reduction Technique for Epileptic Electroencephalography Signals ”, Research Journal of Applied Sciences, Engineering and Technology 10(9): 1035-1037, 2015.

P.K. Kowsalya, R. Harikumar ,” Performance Analysis of Adaptive Routing Structure for Wireless Sensor Network Based on Load Balancing Springer Wireless Personal Communication”, 2015.

P. Manimekalai, R. Harikumar, S.Raghavan, “Enhancement of Fuzzy Controlled Photovoltaic–Diesel System With Battery Storage Using Interleaved Converter With Hybrid Mppt for Rural Home”, Journal of Solar Energy Engineering, Amse, 2015.

K.Nirmalakumari, Dr. R. Harikumar, Dr. P. Rajkumar, “ Clustering Techniques From Significance Analysis of Microarrays” Computational Intelligence, Cyber Security and Computation Models, Advances In Intelligent Systems and Computing”, Series Volume 412, Springer Verlag, Pages.:181-194,2015.

P.Sunil Kumar Dr. R. Harikumar, “Performance Analysis of Apen As A Feature Extraction Technique and Time Delay Neural Networks, Multi Layer Perceptron As Post Classifiers for the Classification of Epilepsy Risk Levels From Eeg Signals” ,Computational Intelligence, Cyber Security and Computation Models, Advances In Intelligent Systems and Computing, Series Volume 412, Springer Verlag, Pages.:89-97,2015.

Harikumar Rajaguru and Sunil Kumar Prabhakar,” A Comprehensive Review on Photoplethysmography and Its Application for Heart Rate Turbulence Clinical Diagnosis”, Adv. Sci. Lett. 21, 3602-3604, 2015.

R.Harikumar, P.Sunil Kumar, “Frequency Behaviors of Electroencephalography Signals In Epileptic Patients From A Wavelet Thresholding Perspective”, Applied Mathematical Sciences, Vol. 9, 2015, No.50, 2451-2457, Hikari Ltd,

R.Harikumar, P.Sunil Kumar, “Statistical Techniques for the Analysis of Electroencephalography Signals From Epileptic Patients”, Journal of Chemical and Pharmaceutical Research, 2015, Vol.7, Issue 3, Pages: 841-845.

K.Priya, Dr. R.Harikumar ,B.Vinoth Kumar, “A Comparison of Extreme Learning Machine and Neural Network In the Classification of Epilepsy Risk Levels From Eeg Signals”, International Journal of Applied Engineering Research (Ijaer), Vol.10, No.9 (2015), Special Issue, Pages :7167-7173.

P. Manimekalai, R. Harikumar,” H-Bridge Inverter With Sinusoidal Pulse Width Modulation Technique Using Uni Polar Switching for Pv Applications”, International Journal of Applied Engineering Research (Ijaer), Vol.10, No.13 (2015), Special Issue, Pages:11480-11484.

R.Harikumar , T.Vijayakumar, “Analysis of Wavelet Transforms and Rbf Neural Networks for Epilepsy Risk Level Classification From Eeg Signals”, International Journal of Applied Engineering Research (Ijaer), Vol.10, No 20 (2015), Special Issue, Pages : 19783-19788.

R.Harikumar, P.Sunil Kumar,” Principal Component Analysis As A Dimensionality Reduction Technique and Sparse Representation Classifier As A Post Classifier for the Classification of Epilepsy Risk Levels From Eeg Signals”, J. Pharm. Sci. & Res. Vol. 7(6), 2015,282-284

P.Manimekalai, Dr.R.Harikumar, Dr.S.Raghavan,” Evaluating the Effect of Interleaving and Maximum Power Point Tracking (Mppt) In Boost Converter for Photovoltaic (Pv) Power Generation System Using Matlab”, International Journal of Simulation, Systems Science & Technology (Ijssst) Volume.14, Issue.5,

Dr.R.Harikumar, R.S.Hemanth, B.Vinoth Kumar,” Wavelet Neural Network As A Classifier for Medical Diagnosis – A Review”, International Journal of Scientific Research In Computer Science Applications and Management Studies Vol: 3, No: 1, January 2014 Issn: 2319 – 1953, Pages.61-64.

A.Prabakaran, Dr.R.Harikumar, Dr P Sampath , S Gandhiraj , K Silambarasan,” Design and Implementation of Offset Error Cancelling Using High Speed Flash”, Adc International Advanced Research Journal In Science, Engineering and Technology Vol 1 No.3,153-155 Nov 2014

Dr.R.Harikumar, Ms.S.N.Shivappriya,” Intelligent Telemetry System for Ecg”, Indian Heart Journal Vol.66, Supplement 2, November , 2014 Pages.S143.

Harikumar Rajaguru and Vijayakumar Thangavel, “Performance Analysis of Wavelet Transforms and Morphological Operator-Based Classification of Epilepsy Risk Levels”, Eurasip Journal on Advances In Signal Processing 2014.

M.Jothi, Dr.N.B.Balamurugan, Dr.R.Harikumar,” Design and Implementation of Vlsi Fuzzy Classifier for Biomedical Application”, International Journal of Innovative Research In Science, Engineering and Technology, Vol 3, No:3, Pages.2641-2648, 2014.

Dr.R.Harikumar, Ms.S.N.Shivappriya and Dr.S.Raghavan,” Comparison of Different Optimization Algorithms for Cardiac Arrhythmia Classification”, Information- An International Interdisciplinary Journal Vol.17, No.8, Pages.3859-3866, 2014.

Dr.R.Harikumar, Ms.S.N.Shivappriya and R.Janani ,”Evaluation of Wavelets and Classifiers In Classifying Cardiovascular Disorders Using Wavelet Transform”, International Journal of Computational Intelligence and Informatics, Vol. 4: No. 2, Pages.145-154, 2014.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Analysis of Pages.g Signals With Respect To Svd, Hurst Exponent, Euclidean Distance and K-Means Clustering”, International Journal of Applied Engineering Research, Issn: 0973-4562, Volume 9, Number:22 (2014), Pages.:11793-11797.

P. Manimekalai, R. Harikumar and S. Raghavan ,”A Hybrid Maximum Power Point Tracking (Mppt) With Interleaved Converter for Standalone Photo Voltaic (Pv) Power Generation System”, International Energy Journal (Iej), Volume 14, Issue 3, September 2014, Pages.143-154

Dr.R.Harikumar, B.Vinoth Kumar, ” Performance Analysis of Em, Svd, and Svm Classifiers In Classification of Carcinogenic Regions of Medical Image”, Int J Imaging Syst Technol, 24, 16–22, March 2014; Published Online In Wiley Online Library (Wileyonlinelibrary.Com). Doi: 10.1002/Ima.22074 Annexure I

M.Balasubramani, Dr.R.Harikumar, Dr.C.Ganeshbabu and G.A.Nivhedhitha ,”Performance Analysis of Extreme Learning Machine for Robust Classification of Epilepsy Detection From Eeg Signals”, Information- An International Interdisciplinary Journal Vol.17, No.4, April, 2014 Pages.1313-1324. Annexure I, 3635,

B. Manjurathi, R. Hari Kumar, P. Nirmal Kumar “Test Data Compression Using Multiple Run Length Code Technique”, International Review on Computers and Software (Irecos), Volume-9 Issue-1, January 2014, Pages.197 – 202. Annexure-Ii,8815, Impact Factor: 0.486

B. Manjurathi, R. Harikumar, K.S.Ganesh Kumar, Karen Thangam Jacob,” A Test Data Compression Scheme for Minimizing Test Data Volume and Scan Power”, Journal of Theoretical and Applied Information Technology (Jatit),Vol62, No3, April 2014 Pages.634-642, Annexure-Ii, 12050. Impact Factor: 0.113

Harikumar Rajaguru and Vijayakumar Thangavel, “Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels,” Mathematical Problems In Engineering, Vol. 2014, Article Id 813197, 13 Pages, 2014. Annexure I,5836, Impact Factor: 1.383

Dr.R.Harikumar, T.Vijayakumar,” Comprehensive Analysis of Hierarchical Aggregation Functions Decision Trees, Svd, K-Means Clustering, Pca and Rule Based Ai Optimization In the Classification of Fuzzy Based Epilepsy Risk Levels From Eeg Signals”, International Journal of Computer Information Systems

Dr.R.Harikumar, B.Vinoth Kumar, K.Karthik, Jagdsh L.K.Chand, C.Navin Kumar,” Performance Analysis of Singular Value Decomposition (Svd) and Radial Basis Function (Rbf) Neural Networks for Epilepsy Risk Levels Classifications From Eeg Signals”, International Journal of Soft Computing Engineering Vol:

Dr.R.Harikumar, T.Vijayakumar, Dr.C.Ganesh Babu, M.G.Sreejith, “Performance Analysis of Morphological Operators Based Feature Extraction and Svd, Neural Networks As Post Classifier for the Classification of Epilepsy Risk Levels”, Springer Lecture Series In Electrical Engineering Volume:221, Vol,1 Pages.

Dr.R.Harikumar, T.Vijayakumar, Dr.C.Ganesh Babu, M.G.Sreejith,” Performance Analysis of Wavelet Transforms and Principal Components As Post Classifier for the Classification of Epilepsy Risk Levels From Eeg Signals”, Springer Lecture Series In Electrical Engineering Volume:221, Vol,1 Pages.25-36,Dec, 2

Dr.R.Harikumar, T.Vijayakumar,”A Comparison of Elman and Radial Basis Function (Rbf) Neural Networks In Optimization of Fuzzy Outputs for Epilepsy Risk Levels Classification From Eeg Signals”, International Journal of Soft Computing Engineering Vol: 2, No: 6 Jan 2013 Issn: 2231-

Dr.R.Harikumar, M.Balasubramani, Dr.C.Ganesh Babu, “Performance Analysis of Svd, Pca, Ica, Hidden Markov Model In Classification of Epilepsy Risk Level From Eeg Signal”, Pensee Journal Vol 75, No. 10;Oct 2013 Pages.279-291 Impact Factor: 0.1

Dr.R.Harikumar, M.Balasubramani, C.Ganesh Babu,” Fpga Implementation of Wavelet Neural Network for Epileptic Seizure Detection”, Ieice Electronics Express, Volume 10, Issue 24, Dec 2013,Pp1-6. Annexure I Impact Factor: 0.86

Dr.R.Harikumar, B.Vinoth Kumar,” Comprehensive Analysis of Lpg-Pca Algorithms In Denoising and De Blurring of Medical Images”, Int J Imaging Syst Technol, 23, 157–170, June 2013; Published Online In Wiley Online Library (Wileyonlinelibrary.Com). Doi 10.1002/Ima.22049 Annexure I Impact Factor: 0.6

Jennifer S Raj, Dr.R.Harikumar,” A Localized Computing Approach for Connectivity Improvement Analysis In Wireless Personal Networks, Wireless Personal Communications”. An International Journal, Springer Vol70. No: 3 June 2013,Annexure-I (Sl.No:8227). Impact Factor: 0.428.

Jennifer S Raj, Dr.R.Harikumar, “A Neighbor-Aware Connectivity Architecture for Mobile Internet Maintenance, Smart Computing Review”, Vol 3. No:2 April 2013,Pp62-73.

P.Manimekalai, Dr.R.Harikumar, “Analysis of Soft Switching Interleaved Boost Converters for Photo Voltaic (Pv) Systems Using Matlab Simulations”, International Review on Modeling and Simulations (Iremos) Volume.6, Issue.2, Pages.311-316, April 2013. Impact Factor: 0.1

Jennifer S Raj, Dr.R.Harikumar, “A Self Organized Structure for Mobility Management In Unstable Networks”, Eres International Journal of Computer Networks, Vol 1. No:2 June 2013.

Dr.R.Harikumar, M.Balasubramani, “Fpga Synthesis of Fuzzy Based Simple Traffic Controller “,International Journal of Advanced Research In Computer and Communication Engineering Volume 2, Issue 7, July 2013,Pp 2497-2502.

Dr.R.Harikumar, R.Prabu, Dr.S.Raghavan,” Electrical Impedance Tomography (Eit) and Its Medical Applications: A Review”, International Journal of Soft Computing Engineering Vol: 3, No: 4 September 2013 Issn: 2231-2307, Pages.193-198.

Harikumar R, Raj Js,” Ad Hoc Node Connectivity Improvement Analysis – Why Not Through Mesh Clients? Elsevier Computers and Electrical Engineering “, Http:// Dx.Doi.Org /10.1016/ J. Compeleceng. 2013.11.020 Annexure-I (Sl.No:2000). Impact Factor: 0.928,2013.

Dr.R.Harikumar, B.Vinoth Kumar, K.Karthick, L.K.Chand , C.Navin Kumar ,”Bayesian Imaging Concepts for Smart Fracture Detection In X-Ray Images”, International Journal of Electronics Communication and Computer Technology (Ijecct) Volume 3 Issue 1 (January 2013), Issn: 2249-7838 ,Pp 347-351

T.S.Harivikram, R.Harikumar, C.Ganesh Babu, P.Murugamanickam ,”Adaptive Modulation and Coding Rate for Ofdm Systems”, International Journal of Emerging Technology and Advanced Engineering (Ijetae) Volume 3 Issue 2 (February 2013), Pages.250-255.

Dr.R.Harikumar, T.Vijayakumar, R.Kasthuri, “Analysis of Pso and Hybrid Pso In Calculation of Epileptic Risk Level In Eeg”, International Journal of Soft Computing Engineering Vol: 3, No: 1 March 2013 Issn: 2231-2307,Pp 154-159

Dr.R.Harikumar, M.Balasubramani, S.Saravanan,”Fpga Implementation of Wavelet Neural Network for Epilepsy Detection”, International Journal of Engineering and Innovative Technology (Ijeit) Volume 2, Issue 9, March 2013, Issn: 2277-3754, Pages.50-55.

S.Kannan, Dr.R.Harikumar, Dr.K.Paramasivam, N.Viswanatha,” Simulation and Evaluation , Performance and Cost Metrics of 3d Noc Architecture”, Ijescc, Volume 4, Issue 1, January-June 2013, , Pages.65-74.

P.Manimekalai, R.Harikumar, Dr.S.Raghavan,” Comparison of Photo Voltaic (Pv) Panels and Soft Switching Boost Converters for Pv Power Generation Systems”, International Energy Journal,Volume.13, Issue.4, December 2012, Pages. Impact Factor: 0.2

Dr.R.Harikumar, Dr.C.Ganesh Babu, M.Balasubramani, P.Sinthiya, “Analysis of Svd Neural Networks for Classification of Epilepsy Risk Level From Eeg Signals”,Springer Lecture Series In Electrical Engineering Volume:222, Vol,2 Pages.27-34,Dec, 2012. Impact Factor: 0.1

Dr.R.Harikumar, M.Jothi, Dr.N.B.Balamurugan,” Fpga Synthesis of Sirm Fuzzy Systems Classification of Diabetic Epilepsy Risk Levels”, Procedia Engineering, Elsevier, 38(2012), Pages.391-404 International Conference on Modeling Optimization and Computing (Icmoc 2012).

Dr.R.Harikumar, Dr.N.S.Vasanthi, M.Balasubramani,” Performance Analysis of Artificial Neural Networks and Statistical Methods In Classification of Oral and Breast Cancer Stages”, International Journal of Soft Computing Engineering Vol: 2, No: 3 July 2012 Issn: 2231-2307,Pp263-269.

Dr.R.Hari Kumar , Dr.C.Ganeshbabu , Mr. M.Ramkumar, “A Novel Method for Blood Flow Measurement Using Plethysmography”, Karpagam Jcs Vol. 6 Issue 5 Jul. – Aug. 2012 Pages.237-245.

Manimekalai.P, Dr.R.Harikumar. and Aiswarya.R,”An Overview of Converters for Photo Voltaic Power Generating Systems”, Ijca Proceedings on International Conference on Advances In Communication and Computing Technologies 2012 Icacact (3):25-30, August 2012. Published By Foundation of Computer Science

Dr.R.Harikumar, T.Vijayakumar, M.G.Sreejith,” Comprehensive Analysis of Hierarchical Aggregation Functions Decision Trees and Minimum Relative Entropy As Post Classifiers In the Classification of Fuzzy Based Epilepsy Risk Levels”, International Journal of Soft Computing Engineering Vol: 2, No: 5 Nov

Jennifer S Raj,Dr.R.Harikumar,” A Dynamic Overlay Approach for Mobility Maintenance In Personal Communication Networks Springer Peer To Peer Networking Applications”, Vol:5 No:4 Dec 2012 Annexure- I (Sl.No:6675).Impact Factor: 0.365.

Dr.R.Harikumar, Dr.N.B.Balamurugan, M.Jothi,”Fpga Synthesis of Sirm Fuzzy System – Classification of Diabetic Epilepsy Risk Levels From Eeg Signal Parameters and Cbf”, Springer Lecture Series In Electrical Engineering Volume:221, Vol,1 Pages.313-322,Dec, 2012. Impact Factor: 0.1

Dr.R.Harikumar, B.Vinoth Kumar, G.Karthick, L.K.Chand , C.Navin Kumar ,”Hierarchical Clustering Algorithm for Intensity Based Cluster Merging and Edge Detection In Medical Images”, Springer Lecture Series In Electrical Engineering Volume:221, Vol1 Pages.323-338,Dec, 2012.

Dr.R.Hari Kumar, Dr.C.Ganeshbabu, Dr.P.Sampath , Mr. M.Ramkumar,” Performance Analysis of An Activity Based Measurement of Blood Flow Using Impedance Plethysmography”, Springer Lecture Series In Electrical Engineering Volume:222, Vol2 Pages.35-46,Dec, 2012. Impact Factor: 0.1

Dr.R.Hari Kumar, S.N.Shivappriya,” A Novel Approach for Different Morphological Characterization of Ecg Signal”, Springer Lecture Series In Electrical Engineering Volume:221, Vol1 Pages.13-24,Dec, 2012. Impact Factor: 0.1

Sampath.P, R.Harikumar, Gunavathi.K ,”Cmos 2nd Order Gm-C Intermediate Frequency Band Pass Filters for Wireless Systems”, Springer Lecture Series In Electrical Engineering Volume:222, Vol2 Pages.237-244,Dec, 2012. Impact Factor: 0.1

Hari R Kumar, Vinoth B Kumar and S Gowthami,”Performance Evaluation of Lpg-Pca Algorithm In Deblurring of Ct and Mri Images”, International Journal of Computer Applications 60(16):28-33, December 2012. Published By Foundation of Computer Science, New York, Usa.

Dr.R.Harikumar, T.Vijayakumar, R.Kasthuri,“ Performance Analysis of Particle Swarm Optimization Technique for Classification of Epileptic Risk Level From Eeg Signals”, In the Journal of Microengineering & Nanoelectronics,Volume 3, Issue 2, Pages. 69-74, July-Dec 2012.

R.Harikumar, B.Vinoth Kumar, G.Karthick, “Performance Analysis for Quality Measures Using K Means Clustering and Em Models In Segmentation of Medical Images “, International Journal of Soft Computing and Engineering Vol: 1,No: 6 , January 2012 Issn: 2231-2307, Pages.74-80

Dr.R.Harikumar, Dr. C.Ganesh Babu, V.K.Sudhaman, “Fpgasynthesis of Fuzzy (Pd and Pid) Controller for Insulin Pumps In Diabetes Using Cadence”, International Journal of Soft Computing and Engineering Vol: 1, No: 6 , January 2012 Issn: 2231-2307,Pp 324-331.

R.Harikumar, Dr.C.Ganesh Babu ,P.Shrivignesh,” Earlier Detection of Oral Cancer From Fuzzy Based Photo Plethysmography”, International Journal of Soft Computing and Engineering Vol: 2, No: 1 March 2012 Issn: 2231-2307, Pages.128-133

Dr.R.Harikumar, T.Vijayakumar, Dr.C.Ganesh Babu,” Performance Analysis of Elman Neural Networks As Post Classifiers for Wavelet Transforms Based Feature Extraction Using Hard and Soft Thresholding Methods In the Classification of Epilepsy Risk Levels From Eeg Signals”, European Journal of Scientific

Jennifer.S.Raj, R.Harikumar, “A New Distributed Architecture for Connectivity Analysis In Wireless Networks”, Procedia Engineering, Elsevier, 30(2012), Pages.394-401.

G.Karthick, R.Harikumar, B.Vinoth Kumar, “Quality Measurement In Segmentation of Medical Images”, International Journal of Electronics Communication and Computer Engineering, Vol 3, No:2 March 2012,Pp 20-28.

Dr.R.Harikumar, M.Balasubramani, T.Vijayakumar,” Analysis of Patient Specific Epilepsy Risk Level Classifications From Eeg Signals Using Two Tier Hybrid (Fuzzy, Soft Decision Trees Models and Mlp Neural Networks) “,Classifiers, International Journal of Soft Computing and Engineering Vol: 2, No: 2 May

Dr.R.Harikumar, T.Vijayakumar, Dr. C.Palanisamy ,”Performance Analysis of Wavelet Transforms and Elman Neural Networks for the Classification of Epilepsy Risk Levels From Eeg Signals”, International Journal of Neural Networks and Applications, Vol4, No: 1 Jan-June 2011, Issn:0974-6048 Pages.61-67.

Dr.R.Harikumar, T.Vijayakumar, Dr. C.Palanisamy,” Performance Analysis of Fuzzy Soft Decision Trees Models and Support Vector Machines for Epilepsy Risk Level Classifications From Eeg Signal Parameters”, International Journal of Biosignal Processing, Vol 2, No: 1 Jan-June 2011, Issn:0975-8186, Pages.61

Dr.R.Harikumar, S.Arun, “Analysis of An Edge Preserving Denoising Technique for X-Ray and Ultrasonic Images Using Wavelet Transform”, International Journal of Information Analysis and Processing, Vol: 4, No: Issn: 0973-5712 Pages.23-26. 1 Jan-June 2011

Dr.R.Harikumar, Dr.A.Shanmugam, V.K.Sudhaman, “Fpga Implementation of Fuzzy (Pd&Pid) Controller for Insulin Pumps In Diabetes Amse Journal Modeling C”, Vol 66,No:1,2011, Pages.50-63

Dr.R.Harikumar, T.Vijayakumar, “Estimation of Drowsiness and Classification of Epilepsy Risk Levels From Eeg Signals Using Chaos Theory”, International Journal of Soft Computing Engineering Vol: 1, No: 3 July 2011 Issn: 2231-2307 Pages.60-65.

Dr.R.Harikumar, T.Vijayakumar,” Performance Analysis of Soft Decision Trees Models for Fuzzy Based Classification of Epilepsy Risk Levels From Eeg Signals”, International Journal of Soft Computing and Engineering Vol: 1, No: 4 September 2011 Issn: 2231-2307 Pages.21-27

Dr.R.Harikumar, M.Balasubramani, “Fpga Synthesis of Soft Decision Tree (Sdt) for Classification of Epilepsy Risk Levels From Fuzzy Based Classifier Using Eeg Signals”, International Journal of Soft Computing and Engineering Vol: 1, No: 4 September 2011 Issn: 2231-2307 Pages.206-211

Dr.R.Harikumar S.N.Shivappriya,” Analysis of Qrs Detection Algorithm for Cardiac Abnormalities – A Review” , International Journal of Soft Computing and Engineering Vol: 1, No: 5 November 2011 Issn: 2231-2307 Pages.80-88

Jennifer S Raj Dr.R.Harikumar,” A Review on Localized Topology Control Approaches In Wireless Network”, International Journal of Computer Science and Information Engineering Vol:2 No: 2 Dec 2011 Pages.85-91

Dr.(Mrs).R.Sukanesh, R.Harikumar,” Analysis of Photo-Plethysmography (Ppg) Signals With Motion Artifacts (Gaussian Noise) Using Wavelet Transforms, Journal of Biomedical Soft Computing and Human Sciences”, Vol No:15 , Pages.135-140 1 Sep 2010

R.Harikumar, Dr.(Mrs.)R.Sukanesh,” A Comparison of Soft (Min-Max) Decision Trees and Hierarchical Decision Trees for Patient Specific Fuzzy Classifier In the Classification of Epilepsy Risk Levels From Eeg Signals”. Amse Journal Modelling C Vol No:70, Pages.18-38.1,2009

Dr.(Mrs.).R.Sukanesh, Dr.R.Harikumar, Dr.A.Shanmugam, “Fpga Synthesis of Heterogeneous and Sirm Fuzzy System for Classification of Diabetic Epilepsy Risk Levels , I.E .India Journal of Interdisciplinary Panels Vol No:90, Pages.20-25,2, Nov 2009

Dr.R.Harikumar, T.Vijayakumar, “Performance Analysis of Elman- Chaotic Optimization Model for Fuzzy Based Epilepsy Risk Level Classification From Eeg Signals International Journal on Smart Sensing and Intelligent Systems” Vol No:2,Pp 612-635,4 Dec 2009

Dr.R.Harikumar, Dr.N.S.Vasanthi, “Performance Analysis of Artificial Neural Networks In Classification of Oral Cancer Stages”, Lectures on Modeling and Simulation, Trivandrum, India Vol. 10 Issue1 2009 Published Amse Journal: 2009 Vol. 10 – Nº 1 Pages.94-101,December 1-3, 2009

Dr.(Mrs.).R.Sukanesh, R.Harikumar,” Pattern Recognition and Classification for Medical Diagnosis From Bio-Signals”- A Review, I.E .India Journal of Interdisciplinary Panels Vol No:89, Pages.24-32,1, May 2008

Dr.(Mrs.).R.Sukanesh, R.Harikumar,” A Comprehensive Analysis on Post Processing Mathematical Models (Mre, Aggregation Operators & Soft Decision Trees) for Patient Specific Fuzzy Based Epilepsy Risk Level Classifier From Eeg Signals”, I.E .India Journal of Interdisciplinary Panels Vol No:89,2, Nov 20

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Analysis of Image Compression By Minimum Relative Entropy (Mre) and Restoration Through Weighted Region Growing Techniques for Medical Images” Journal of Engineering Letters, Vol No:14,Pp 84-89, 1 March 2007

Dr.(Mrs.).R.Sukanesh, R.Harikumar,” Diagnosis and Classification of Epilepsy Risk Levels From Eeg Signals Using Fuzzy Aggregation Techniques” Journal of Engineering Letters, Vol No:14,Pp 90-95,1 March 2007

Dr.(Mrs.).R.Sukanesh, R.Harikumar,” A Comparison of Genetic Algorithm & Neural Network (Mlp) In Patient Specific Classification of Epilepsy Risk Levels From Eeg Signals”, Journal of Engineering Letters, Vol No:14,Pp 96-104,1 March 2007.

Dr.(Mrs.).R.Sukanesh, R.Harikumar,.” Fuzzy Techniques and Neural Networks (Rbf) for Classification of Epilepsy Risk Levels From Eeg Signals Journal of Biomedical Soft Computing and Human Sciences”,Vol No:12,Pp 17-21,.1, March 2007

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Performance Analysis of Different Fuzzy Techniques In Classification of Epilepsy Risk Level for Diabetic Patients Using Cerebral Blood Flow”, Aggregation Operators and Eeg Signals , I.E .India Journal of Interdisciplinary Panels, Vol No:88, Pages.12-20,1 May 2007,.

R.Harikumar, Dr.(Mrs.)R.Sukanesh,” Analysis of Fuzzy Techniques and Neural Networks (Rbf&Mlp) In Classification of Epilepsy Risk Levels From Eeg Signals,” Iete Journal of Research 2007, Vol No:53, Pages.465-474,5 Sep-Oct 2007.

R.Harikumar, Dr.(Mrs.)R.Sukanesh,” A Comparison of Elman and Mlp Feed Forward Neural Networks for Classification of Epilepsy Risk Level Using Eeg Signals”. Amse Journal Modelling C Vol No:67, Pages.43-60, 1,2006.

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “A Patient Specific Neural Networks(Mlp) for Optimization of Fuzzy Outputs In Classification of Epilepsy Risk Levels From Eeg Signals”, Journal of Engineering Letters(El) Vol No:13, Pages.50 56,2 Sep’2006,

Dr.(Mrs.).R.Sukanesh, R.Harikumar,” Analysis of Sirm Fuzzy Systems In Classification of Epilepsy Risk Levels for Diabetic Neuropathy Patients Using Cerebral Blood Flow and Eeg Signals”, I.E .India Journal of Interdisciplinary Panels Vol No:87, Pages.33-36,.2, Nov 2006,

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “A Simple Recurrent Supervised Learning Neural Network for Classification of Epilepsy Risk Levels From Eeg Signals.” , I.E .India Journal of Interdisciplinary Panels ,Vol.No:87, Pages.37-43,2, Nov 2006.

R.Harikumar, Dr.(Mrs.)R.Sukanesh P.A.Bharathi,” Genetic Algorithm Optimization of Fuzzy Outputs for Classification of Epilepsy Risk Levels From Eeg Signals”, I.E .India Journal of Interdisciplinary Panels Vol No:86,1, Pages.9-17.1, May 2005

R.Harikumar, Dr.(Mrs.)R.Sukanesh, “Fuzzy Techniques and Statistical Tests for Epilepsy Risk Level Classification Using Eeg Signals”, I.E .India Journal of Interdisciplinary Panels, Volno:86. Pages.29-36.1, May 2005.

R.Harikumar, Dr.(Mrs.)R.Sukanesh,” Fuzzy Techniques and Aggregation Operators for Classification and Optimization of Epilepsy Risk Level From Eeg Signals”. Iete Journal of Research Vol No:51, 5 Pages.379-388,Sept-Oct 2005

R.Harikumar, Dr.(Mrs.)R.Sukanesh, B.S.Narayan,” Fuzzy Techniques and Fuzzy Aggregation Operators for Classification of Epilepsy Risk Level Using Eeg Signal Parameters”. Amse Journal Modeling C ,Vol No:50,Pp 43-63.5,2005,

K.Paramasivam, R.Harikumar, R.Sundararajan “Simulation of Vlsi Design Using Parallel Architecture for Epilepsy Risk Level Diagnosis In Diabetic Neuropathy”, Iete Journal of Research ,Vol No:50,Pp 297-304,4 July –August 2004.

R.Harikumar, S.Selvan,” Fuzzy Based Classification of Patient State In Diabetic Neuropathy Using Cerebral Blood Flow”, Paritantra Ssi Journal Vol No:7, Pages.37-42,1aug 2002

R.Harikumar S. Selvan Digital Libraries,” Technology Journal of Psg College of Technology, Coimbatore”, Pages.70-77, May 2001

Harikumar R , Karthikamani R, “Performance Analysis Of The Classifier In The Classification of Normal-Sleep and Seizure From Eeg Signal”, Second International Conference on “Smart Technologies, Communication and Robotics 2022 (IEEE-STCr 2022)”, BIT, 2022.

Harikumar Rajaguru, Gowri Shankar Manivannan, C. Ganesh Babu, “Performance Analysis of Correlation Dimension with Hybrid GMM-FF Classifier for Alcoholic EEG signal Detection”, Third International Conference on Circuits, Signals, Systems and Securities(ICCSSS 2023), 13 – 14 May 2023, BIT Sathy

C. Ganesh Babu, Gowri Shankar Manivannan, Harikumar Rajaguru, “Performance Analysis of Correlation Dimension Classifier for the Detection of Oral Cancer”, Third International Conference on Circuits, Signals, Systems and Securities(ICCSSS 2023), 13 – 14 May 2023, BIT Sathy

Kalaiyarasi M, Harikumar Rajaguru, “Microarray Gene Data for cervical Cancer Detection and Classification: A Comprehensive Review”, Third International Conference on Circuits, Signals, Systems and Securities(ICCSSS 2023), 13 – 14 May 2023, BIT Sathy

Kalaiyarasi M, Harikumar Rajaguru, “Performance Evaluation of Hybrid Classifiers for Cardiovascular Disease Detection using PPG Signals” ,Third International Conference on Circuits, Signals, Systems and Securities(ICCSSS 2023), 13 – 14 May 2023, BIT Sathy

Harikumar R, Ganesh Babu C,”Analysis and Detection of Sentient State From Alcoholic Eeg Signals using the Fast Fourier Transform Features Based Multiple Classifiers”, Second International Conference on “Circuits, Signals, Systems and Securities (ICCSSS – 2022)”, BIT, 2022.

Harikumar R, Shivappriya S N, Ramya M, Asiyabegum U, “Disease Prediction Based on Retinal Images”, First International Conference on “Smart Technologies, Communication and Robotics 2021 (IEEESTCR 2021)”, BIT, 2022.

Harikumar R, “Disease Prediction Based on Retinal Images”, First International Conference on “Smart Technologies, Communication, and Robotics 2021 (IEEESTCR 2021)”, BIT, 2022.

Harikumar Rajaguru, Kalaiyarasi M , Santhosh B , Senthamil Selvi A , “Detection of Respiratory Disorder and Performance Analysis from PPG Signals” , IFMBE Sponsored, 8th International Conference on ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY MEDITECH 2022, Online Cluj-Napoca, Romania 20th – 22nd October 2022

R.Karthikamani and Harikumar Rajaguru, “Classification of Liver Abnormality in Ultrasonic Images using Hilbert Transform Based Feature” , IFMBE Sponsored, 8th International Conference on ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY MEDITECH 2022, Online Cluj-Napoca, Romania 20th – 22nd October 2022

Sannasi Chakravarthy ,S.R.Harikumar Rajaguru, Sundaresan Chidambaram, ” Processing of Wisconsin Breast Cancer Data using Ebola Optimization Algorithm with Mixture Kernel SVM” , Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Harikumar Rajaguru, Sannasi Chakravarthy S.R. Sundaresan Chidambaram, “Gaussian Mixture Model based Hybrid Machine Learning for Lung Cancer Classification using Symptoms”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Ganesh Babu,C ,Gowri Shankar M ,Harikumar Rajaguru, Priyanka G S, Anuradha T, “Analyzing Haar and dB2 with Compensatory GMM Classifier for Epilepsy Detection”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Harikumar Rajaguru, Gowri Shankar M, Rishikesan J, Sundar K,” Performance Analysis of Cat Swarm Optimization with Soft Discriminant Classifier for Diagnosis of Epilepsy using EEG Signals”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Shivappriya S N,Pasupathy S A, Harikumar R, Shanmuga Priya J, Pavenashri Raj, Vikram L,A ,” Customized Deep Learning Algorithm for Prediction of Eye Diseases from Color Fundus Photography”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Harikumar Rajaguru, R.Karthikamani ,” Performance Analysis of the Classifier in the Classification of Normal-Sleep and Seizure from EEG Signal “, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

K Vilohit, Bharanidharan N, Harikumar Rajaguru,” Improvisation of Decision Tree Classification Performance in Breast Cancer Diagnosis using Elephant Herding Optimization”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Ganesh Babu C, Gowri Shankar M, Harikumar Rajaguru, “Performance Analysis of Lion Optimization Algorithm with Hybrid Classifier for Epilepsy Detection”,Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Harikumar Rajaguru, Gowri Shankar M, Santhosh B, Senthamil Selvi A “Logistic Regression Classifier with Hybrid Dimensionality Reduction Techniques for Epilepsy Detection from EEG Signals”, Second International Conference on Smart Technologies, Communication, and Robotics 2022 (IEEE-STCR 2022), 10 – 11 December 2022, BIT Sathy.

Gowthami. S and Harikumar. R, “Performance analysis of Incremental boosting based Transfer Learning in Deep CNN,” 2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4), Bangalore, India, 2022, pp. 1-6, doi: 10.1109/C2I456876.2022.10051386.

Harikumar R, Sannasi Chakravarthy S R,”Breast Cancer Diagnosis using Quantum Inspired Classifier”, Springer 5th International Conference on “Computational Vision and Bio Inspired Computing (ICCVBIC-2021)”, RVS Technical Campus, Coimbatore, 2021.

Harikumar R, Karthikamani R,”Performance Analysis of Classifiers in Detection of Respiratory Disorder Through Capnography”, First International Conference on “Smart Technologies, Communication, and Robotics 2021 (IEEESTCR 2021)”, BIT, 2021.

Harikumar R , Sannasi Chakravarthy S R,”Performance Comparison of Machine Learning Algorithms in Identifying Dry and Wet Spells of Indian Monsoon”, Springer 3rd International Conference On “Inventive Computation and Information Technologies (ICICIT 2021)”, RVS Technical Campus, Coimbatore, 2021.

Harikumar R, “Modified Spotted Hyena Optimizer Based Leukemia Microscopic Images Classification”, International Conference on “6th Kuala Lumpur International Conference on Biomedical Engineering 2021 (Biomed2021)”, Universiti Malaya, 2021.

Harikumar R, Sannasi Chakravarthy S R, “Improved Bald Eagle Search Optimization for Enhancing The Performance of Supervised Classifiers In Dementia Diagnosis” International Conference on “6th Kuala Lumpur International Conference On Biomedical Engineering 2021 (Biomed2021)”, Universiti Malaya, 2021.

Harikumar R, Sannasi Chakravarthy S R, “Effective Classificationframework for Breast Tumorsusing Optimized Multi-Kernel SVM With Controlled Skewness”, Second International Conference on “New Age Systems and Automation Technologies – ICNAAT-2021”, BIT, 2021.

Harikumar Rajaguru, Sannasi Chakravarthy S R Effective classification framework for Breast Tumors using Optimized Multi-Kernel SVM with Controlled Skewness, Second International Conference on New Age Systems and Automation Technologies – ICNAAT-2021 held during 9-10 July, 2021 at BIT Sathy

Harikumar Rajaguru, Karthikamani.R ,“Detection of Abnormal Liver in Ultrasonic Images from FCM Features”, Second International Conference on New Age Systems and Automation Technologies – ICNAAT-2021 held during 9-10 July 2021 at BIT Sathy

Sannasi Chakravarthy S R, Harikumar Rajaguru paper entitled “Effective Breast Tumor Classification using K- Strongest Strength with Local Outlier Factor Algorithm”, Second International Conference on New Age Systems and Automation Technologies – ICNAAT-2021 held during 9-10 July, 2021 at BIT Sathy

Karthikamani.R., Harikumar Rajaguru, “Analysis of K Means Clustering and classifiers in Diagnosing Abnormality of the Ultrasonic Liver Images” , Second International Conference on New Age Systems and Automation Technologies – ICNAAT-2021 held during 9-10 July2021 at BIT Sathy.

Sannasi Chakravarthy S R , Harikumar Rajaguru , “Ensemble based Weighted Voting Approach for the Early Diagnosis of Diabetes Mellitus”, Springer 3rd International Conference on Sustainable Communication Networks and Application (ICSCN 2021) organized on 29-30 July 2021 , Surya Engineering college Erode.

Sannasi Chakravarthy S R , Bharanidharan.N, Harikumar Rajaguru “Fusion of Deep Features for Classification of Breast Cancer using Multi-Deep CNNs”, 6th Kuala Lumpur International Conference on Biomedical Engineering 2021 (BioMed2021), on 28th and 29th July 2021,University of Malaya, Malaysia

Harikumar R, Aswath S, Bharanidharan N, Valarmathi R S, “Modified Spotted Hyena Optimizer Based Leukemia Microscopic Images Classification”, 6th Kuala Lumpur International Conference on Biomedical Engineering 2021 (Biomed2021)”, Universiti Malaya, 2021.

Bharanidharan. N, Sannasi Chakravarthy S R , Harikumar Rajaguru “Improved Bald Eagle Search Optimization for Enhancing the Performance of Supervised Classifiers in Dementia Diagnosis”, 6th Kuala Lumpur International Conference on Biomedical Engineering 2021 (BioMed2021), on 28th and 29th July 2021,University of Malaya, Malaysia.

Sannasi Chakravarthy S.R, Harikumar Rajaguru, “A Systematic Review on Screening, Examining and Classification of Breast Cancer” , First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy.

Harikumar Rajaguru, Sannasi Chakravarthy S.R. “Transformation based Diabetes Classification using Crow-Search Optimization Algorithm”, First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy.-306752,

Harikumar Rajaguru, Karthikamani.R, “Performance Analysis of Classifiers in Detection of Respiratory Disorder through Capnography”, First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy. .-306753

Nirmalakumari.K, Harikumar Rajaguru, P.Rajkumar “Microarray Prostate Cancer Classification usingEminent Genes”,First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy.

Harikumar Rajaguru, Nirmalakumari.K, P.Rajkumar “ Prominent Gene Selection and Classification of Colorectal Cancer using Microarray Data” ,First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy. .-306754

S.N.Shivappriya, Harikumar Rajaguru, M. Ramya, U. Asiyabegum, D. Prasanth Disease Prediction based on Retinal Images,,First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy. .-306756

Karthikamani.R. Harikumar Rajaguru, “IoT based Smart Irrigation System using Raspberry Pi” , First International Conference on Smart Technologies, Communication, and Robotics 2021 (IEEE-STCR 2021), 09 – 10 October 2021, BIT Sathy.

Sannasi Chakravarthy, S.R.Harikumar Rajaguru, “Breast Cancer Diagnosis using Quantum Inspired Classifier” , Springer 5th International conference on Computational Vision and bio Inspired Computing (ICCVBIC-2021), 25-26 Nov 2021, RVS Technical Campus Coimbatore.

Sannasi Chakravarthy S.R.Harikumar Rajaguru, “Deep Features with Improved Extreme Learning Machine for Breast Cancer Classification,” 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2021, pp. 237-241, doi: 10.1109/ISCMI53840.2021.9654814.

Sannasi Chakravarthy S R, Harikumar Rajaguru, “Deep Learning-based Breast Cancer Detection using VGG-NiN Architecture”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

Harikumar Rajaguru, Gowri Shankar M, Nanthakumar S. P, Arul Murugan I, “Performance Analysis of Classifiers in Detection of CVD using PPG Signals”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

Harikumar Rajaguru, M. Gowri Shankar, S. Mohammed Irfan, C. Mukesh Balaji “Performance Analysis of Classifiers in Detection of Conscious State from Alcoholic EEG Signals”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

Harikumar Rajaguru, M Gowri Shankar, C. Ganesh Babu “Analysis and Detection of Sentient State from Alcoholic EEG Signals using the Fast Fourier Transform Features based Multiple Classifiers”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

K. Nirmalakumari, Harikumar Rajaguru, P. Rajkumar , “Leukemia Cancer Classification using Extrusive Genes from Microarray Data”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

S. Gowthami, Harikumar Rajaguru, “Performance analysis of Melanoma Classifiers with CNN-based segmentation framework”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

R. Karthikamani, Harikumar Rajaguru, “Performance Analysis of Classifiers in the Detection of Seizer and Normal Stages from EEG Signals” , AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

M. Kalaiyarasi, Harikumar Rajaguru, C. Ganesh Babu “Lung cancer Detection and classification for microarray gene data using Classifiers” , AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

J. Poornimasre, Harikumar Rajaguru, P. Saravanakumar , “ZFSA2: A Power Aware X-bit filling approach for VLSI Circuits”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

K. Nirmalakumari, Harikumar Rajaguru, P. Rajkumar ,“Lymphoma Cancer Data Classification with Eminent Features”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

J. Poornimasre, Harikumar Rajaguru, P. Saravanakumar, “An Analysis of KNN model: Low power VLSI testing”, AIP Proceedings of Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022), 25th – 26th March 2022, BIT Sathyamangalam

Rajaguru Harikumar; Prabhakar Sunil Kumar, “Margin Pruning Adaboost Classification with Nature Inspired Optimization for Alcoholic EEG Classification”, Springer Proceedings of 7th International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2020), October 13-15, 2020, Cluj-Napoca, Romania

N Bharanidharan ; Rajaguru Harikumar, “Modified Adam to update control parameters of Crow Search Algorithm in Transformation Technique Based Dementia MRI Image Classification” , Springer Proceedings of 7th International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2020), October 13-15, 2020, Cluj-Napoca, Romania

S R. Sannasi Chakravarthy; Rajaguru Harikumar “Voting Based CAD Model for Breast Cancer Classification” , Springer Proceedings of 7th International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2020), October 13-15, 2020, Cluj-Napoca, Romania

R. Karthikamani; Harikumar Rajaguru, “Detection of Liver Cirrhosis in Ultrasonic Images from GLCM Features and Classifiers”, Springer Proceedings of 7th International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2020), October 13-15, 2020, Cluj-Napoca, Romania

K. Issac , G. Pranay ,N Bharanidharan ; Rajaguru Harikumar, “A Study on Real World Implementation and Future Trends of the Internet of Things” , Proceedings of the Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) 7-9 Oct 2010, DVD Part Number: CFP20OSV-DVD; ISBN: 978-1-7281-5463-3, pp 358-363.-206370

Poornimasre J, HariKumar .R “An Algorithmic Approach for Bit Filling Techniques for Low Power Testing” 2nd International Conference on Materials, Manufacturing and Machining for Industry 4.0 (ICMMM 2.0) held on October 9&10 2020.

Deepa R, Harikumar Rajaguru, Ganesh Babu C, “Comprehensive Performance Analysis of Classifiers in Diagnosis of Epilepsy”, 2nd International Conference on Materials, Manufacturing and Machining for Industry 4.0 (ICMMM 2.0) held on October 9&10 2020.

Harikumar R, Monish Ramesh, Manoranjith.K, “Analysis of Epilepsy Risk levels from EEG Features through Support Vector Machines and Minimum Relative Entropy Models” , First International Conference on Circuits, Signals, Systems and Securities- ICCSSS 2020, BIT Sathyamangalam, 11-12 December 2020

Sannasi Chakravarthy S.R., Harikumar.R, “A novel Ensemble Flower Pollination Algorithm for Automatic Breast Cancer Classification Using Haar Features”, First International Conference on Circuits, Signals, Systems and Securities- ICCSSS 2020, BIT Sathyamangalam, 11-12 December 2020

Harikumar R, Karthikamani.R “Performance Analysis of Classifiers in Detection of Abnormalities from Ultra sound Images-A Review” , First International Conference on Circuits, Signals, Systems and Securities- ICCSSS 2020, BIT Sathyamangalam, 11-12 December 2020

Issac.K., Bharadwaj.K, Bharanidharan.N., Harikumar.R., “Investigation on Enhancing Binary Classification Accuracy of Supervised Classifiers Using Various Transforms” , First International Conference on Circuits, Signals, Systems and Securities- ICCSSS 2020, BIT Sathyamangalam, 11-12 December 2020

Deepa.R, Harikumar.R, Ganesh Babu.C., “Analysis on Wavelet Features and Softmax Discriminant Classifier for the Detection of Epilepsy” First International Conference on Circuits, Signals, Systems and Securities- ICCSSS 2020, BIT Sathyamangalam, 11-12 December 2020

Sannasi Chakravarthy S R, Bharanidharan N, Harikumar R , “Breast Cancer Classification Using Enhanced Binary Crow Search Optimization With Iterative Flight Length” , Third International Conference on Advanced Computational and Communication Paradigms (ICACCP -2021) Sikkim Manipal Institute of Technology Sikkim , March 22-24 2021-238651

Bharanidharan N Sannasi Chakravarthy S R, Harikumar R “Modified Crow Search Algorithm for Enhancing the Classification Performance in Diagnosing Dementia Through MRI Images” , Third International Conference on Advanced Computational and Communication Paradigms (ICACCP-2021) Sikkim Manipal Institute of Technology Sikkim , March 22-24 2021-238651

Issac Kondreddy, Bharanidharan.N, Harikumar R, “Feature Selection Using Elephant Herding Optimization Hybridized With Grey Wolf Optimization for Anomaly Detection in Wafer Manufacturing”,Third International Conference on Advanced Computational and Communication Paradigms (ICACCP-2021) Sikkim Manipal Institute of Technology Sikkim , March 22-24 2021-238651

B.Ashwini, A.Senthamil Selvi, K.Manoj, Harikumar R, “PSO Techniques and its Application in Traffic Classification”, 5th International Conference on Engineering, Technology and Science at Muthayammal college of Engineering, Rasipuram 26.03.2021- 237936

K.Nirmalakumari, Harikumar Rajaguru, P. Rajkumar, “Micro array colon data Classification Using Hybrid Classifiers”, IEEE 5th International conference on Computing Methodologies and Communication(ICCMC2021)- Surya engineering college, Erode,8th-10th April 2021.

Harikumar R, Nirmalakumari K, “Prominent Gene Selection and Classification of Colorectal Cancer using Micro Array Data” International Conference on “First International Conference on Smart Technologies, Communication and Robotics 2021 (IEEESTCR 2021)”, BIT, 2021.

Harikumar Rajaguru, Dinesh Kumar .G, Gokul Prasath.P, “Analysis and Classification of Alcoholic EEG Signals Through Feature Extraction”, National conference on Innovations, Information & Communication Technologies, (NCIICT-2021), 7th &8th May 2021, Organized by Department of CSBS, CT and ISE, BIT Sathy

Bharanidharan.N,Harikumar R. “Classification of Dementia MRI Images using Blended Biogeography Based Optimization”, 16th Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology Conference (ECTICON- 2019) held at Pattaya, Thailand, July 10-13, 2019

Sannasi Chakravarthy S R ,Harikumar Rajaguru, “Image De-noising Method using Median Type Filter, Fuzzy Logic and Genetic Algorithm” , 3rd International Conference on computational Vision and Bio Inspired Computing (ICCVBIC-2019), Organized by RVS Technical Campus , Coimbatore during 25-26, September 2019

K.Nirmalakumari, Harikumar Rajaguru, P.Rajkumar, “Plant Leaf Disease detection Using Modified Segmentation Process and Classification” , 3rd International Conference on computational Vision and Bio Inspired Computing (ICCVBIC-2019), Organized by RVS Technical Campus , Coimbatore during 25-26, September 2019.

M.Kalamani,M.Krishnamoorthi, R.Harikumar, R.S. Valarmathi, “Swarm Intelligence based feature Clustering for Continuous Speech recognition under Noisy Environments”, 3rd International Conference on computational Vision and Bio Inspired Computing (ICCVBIC-2019), Organized by RVS Technical Campus , Coimbatore during 25-26, September 2019.

Bharanidharan.N,Harikumar R. “Dementia MRI Classification Using Hybrid Dragonfly Based Support Vector Machine”, 7th IEEE Region 10 Humanitarian Technology Conference (IEEE R10 HTC) held at Depok, City, Indonesia on November 12-14, 2019

Bharanidharan.N, Harikumar R. “Classification of B-Cell Acute Lymphoblastic Leukemia Microscopic Images Using Crow Search Algorithm”,17th International Conference on Bio Medical Engineering (ICBME 2019) NUS Singapore during 9-12 December 2019

Bharanidharan.N, Harikumar R. “Classification of Dementia MRI Images Using Hybrid Meta Heuristic Optimization Techniques Based on Harmony Search Algorithm”, 17th International Conference on Bio Medical Engineering (ICBME 2019) NUS Singapore during 9-12 December 2019

S. K. Prabhakar, H. Rajaguru, S.-W. Lee, “Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification”, 8th IEEE International Winter Conference on Brain-Computer Interface High1 Resort, Gangwon Province South Korea February 26-28 2020

Bharanidharan, N. P.Yuvashree,Rajaguru, H. “Classification of leukemia Microscopic Images Using Blended Biogeography Optimization” , 5th International conference on Inventive Computation technologies (ICICT 2020) , RVS Technical Campus Coimbatore 26-28 February 2020

Gowthami S , Harikumar R, “ Semantic Regularization for Blind image Deconvolution in Medical Images with extended sparseness”, International conference, 2020 IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh

Shivappriya S.N., Harikumar R, “ Performance Analysis of Deep Neural Network and Stacked Autoencoder for Image Classification”. International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, Akshaya College of Engineering and Technology, Coimbatore

R. Harikumar, “PAC Bayesian Classifier with Finite Mixture Model for Oral Cancer Classification”,Springer Proceedings of International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2018), October 17-20, 2018, Cluj-Napoca,Romania.

R. Harikumar, “Hessian LLE and Naïve Bayesian Classifier for Epilepsy Classification from EEG Signals”, 3rd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India, October 15-16,2018, Coimbatore, India.

R. Harikumar, “Isometric Mapping and Probabilistic Classifier for Epilepsy Classification from EEG Signals”, 3rd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India, October 15-16,2018, Coimbatore, India.

K.Nirmalakumari, R. Harikumar, “PCA And DWT Based Gene Selection Technique For Classification of Microarray Data”, 3rd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India, October 15-16,2018, Coimbatore, India

R. Harikumar, “PPG Signal Analysis for Cardiovascular Patient Using Correlation Dimension and Hilbert Transform Based Classification ”,Springer Proceedings of International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2018), RVS Technical Campus Coimbatore, November 29-30, 2018,

N.Bharanidharan, R.Harikumar, “Classification of Dementia Using Harmony Search Optimization Technique, , IEEE Region 10 (Asia Pacific) Humanitarian Technology Conference (R10-HTC) , at Srilanka Institute of Information Technology, Malabe, Colombo SRILANKA, 6-8 December 2018

S. K. Prabhakar, H. Rajaguru, S.-W. Lee, “ A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers” , 7th IEEE International Winter Conference on Brain-Computer Interface High1 Resort, Gangwon Province South Korea February 18-20 2019.

R. Harikumar, “Spectral Density Analysis with Logarithmic regression Dependent Gaussian Mixture Model for Epilepsy Classification”, Springer Proceedings of International Conference on IoT, Social,Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019,

R. Harikumar, “Correlation Dimension and Bayesian Linear Discriminant Analysis for Alcohol Risk Level Detection”,Springer Proceedings of International Conference on IoT, Social,Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019,

R. Harikumar, “Performance Analysis of ICA with GMM and HMM for Epilepsy Classification ”,Springer Proceedings of International Conference on IoT, Social,Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019,

R. Harikumar, “Thresholding and Clustering with SVD for Alcoholic EEG Analysis ”,Springer Proceedings of International Conference on IoT, Social,Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019,

S.R.Sannasi Chakravarthy, R. Harikumar, “ Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer”, Springer Proceedings of International Conference on IoT, Social, Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019

S.R.Sannasi Chakravarthy, R. Harikumar, “Efficient Denoising Framework for Mammogram Images with a New Impulse Detector and Non-Local Means ”,Springer Proceedings of International Conference on IoT, Social, Mobile, Analytics and Cloud Computing in Computational Vision and Bio Engineering (ISMAC-CVB 2019), Vivekanandha College of Technology for Women Tiruchengode, March 13-14, 2019,

Chittukala S, Bhuvaneshwari M ,Bharanidharan N, Harikumar Rajaguru, “ Smart Health Monitoring System for Pregnant Woman using IOT Technology”, International Conference on Latest Trends in Science, Engineering and Technology Karpagam Institute of Technology, Coimbatore on 22/03/2019

Chittukala S, Bhuvaneshwari M ,Bharanidharan N, Harikumar Rajaguru ,“Multi-Surface Operational Bot for Cleaning Between Railway Tracks”, 5th IEEE International Conference on Advances in Computing & Communication Engineering (ICACCE 2019) , Bannari Amman Institute of Technology, Sathyamangalam,4–6 April 2019

K.Nirmalakumari, Harikumar Rajaguru, P.Rajkumar, “Efficient Minutiae Matching Algorithm for Fingerprint Recognition”, 5th IEEE International Conference on Advances in Computing & Communication Engineering (ICACCE 2019) , Bannari Amman Institute of Technology, Sathyamangalam,4–6 April 2019

Sannasi Chakravarthy S.R,Harikumar Rajaguru, “Removal of Salt and Pepper Noise in Digital Mammogram Images Based on Statistical Algorithms”, 5th IEEE International Conference on Advances in Computing & Communication Engineering (ICACCE 2019) , Bannari Amman Institute of Technology, Sathyamangalam,4–6 April 2019

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Softmax Discriminant Classifier for Detection of Risk Levels in Alcoholic EEG Signals”, Proceedings of the IEEE International Conference on Computing Methodologies and Communication (ICCMC 2017), July 18-19, Surya Engineering College, Erode, India, pp: 977-980 (Best Paper Award)

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Logistic Regression Gaussian Mixture Model and Softmax Discriminant Classifier for Epilepsy Classification from EEG Signals”, Proceedings of the IEEE International Conference on Computing Methodologies and Communication (ICCMC 2017), July 18-19, Surya Engineering College Erode, India, pp:981-984

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Bayesian Linear Discriminant Analysis with Hybrid ABC-PSO Classifier for Classifying Epilepsy from EEG Signals”, Proceedings of the IEEE International Conference on Computing Methodologies and Communication (ICCMC 2017), July 18-19, Surya Engineering College Erode, India, pp:985-988

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Analysis of Adaboost Classifier from Compressed EEG features for Epilepsy Detection”, Proceedings of the IEEE International Conference on Computing Methodologies and Communication (ICCMC 2017), July 18-19, Surya Engineering College, Erode, India, pp:989-991

R.Harikumar, P.Sunil Kumar, “Extreme Learning Machines; Genetic Algorithm and Neural Networks (MLP) for classification of epilepsy risk levels from EEG Signals”, [Poster Presentation] at the IBRO-APRC Kerman Associate School of Neuroscience, Kerman, Iran, August 27- September 1, 2017 (with full financial support)

R.Harikumar, P.Sunil Kumar, “Performance Analysis of Local Linear Embedding and Hessian Local Linear Embedding with Hybrid ABC-PSO for Epilepsy Classification from EEG signals”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017 (Best Paper Award)

R.Harikumar, P.Sunil Kumar, “Interpretation of Autoencoders and PCA with Adaboost Classifier for Classification of Epilepsy from EEG signals”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017 (Best Paper Award)

R.Harikumar, P.Sunil Kumar, “An Insight to Mutual Information and Matrix Factorization with Linear Neural Networks for Epilepsy Classification from EEG signals”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “Wavelet Transform Analysis (Haar and Sym8) for Epilepsy Classification with Soft Discriminant Classifier”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “Correlation Dimension and Bayesian LDA for risk level detection of alcohol from EEG signals”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “Power Spectral Density with Logarithmic Gaussian Mixture Model for Epilepsy Classification”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “Singular Value Decomposition Based Analysis of Alcoholic EEG data with Hard Thresholding and K-means Clustering:, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar , “Comparison of Fast ICA with HMM and GMM Models for Epilepsy Classification from EEG signals”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “Design of an Efficient Epilepsy Classification System for Telemedicine Application with GMM Classifier”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017

R.Harikumar, P.Sunil Kumar, “A Simplified and Effective Epilepsy Classification Technique from EEG Signals Using PCA”, 2nd IEEE International Conference on Inventive Computation Technologies (ICICT), Coimbatore, August 24-25, 2017.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Fuzzy Optimization with Modified Adaboost Classifier for Epilepsy Classification from EEG Signals”, International Conference on Computational Vision and Bioinspired Computing (ICCVBIC 2017), Springer Lecture Notes on Computational Vision and Biomechanics, vol 28 pp 604-612,September 21-22, 2017,Coimbatore, India (Best Paper Award)

Harikumar Rajaguru, Sunil Kumar Prabhakar, “E-health design with spectral analysis, Linear Layer Neural Networks and Adaboost Classifier for Epilepsy Classification from EEG Signals”, International Conference on Computational Vision and Bioinspired Computing (ICCVBIC 2017), Springer Lecture Notes on Computational Vision and Biomechanics, vol 28 pp 634-640,September 21-22, 2017,Coimbatore, India (Best Paper Award)

Harikumar Rajaguru, Sunil Kumar Prabhakar, “A Hybrid Classification Model Using Artificial Bee Colony with Particle Swarm Optimization and Minimum Relative Entropy as Post Classifier for Epilepsy Classification”, International Conference on Computational Vision and Bioinspired Computing (ICCVBIC 2017), Springer Lecture Notes on Computational Vision and Biomechanics, vol 28 pp 593-603,September 21-22, 2017, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Application of Morphological Filtering with Modifications in Linear Discriminant Analysis Classifier for Epilepsy Classification from EEG Signals”, International Conference on Computational Vision and Bioinspired Computing (ICCVBIC 2017), Springer Lecture Notes on Computational Vision and Biomechanics, vol 28 pp 613-624,September 21-22, 2017, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Analysis of Dimensionality Reduction Techniques with ABC-PSO Classifier for Classification of Epilepsy from EEG Signals”, International Conference on Computational Vision and Bioinspired Computing (ICCVBIC 2017), Springer Lecture Notes on Computational Vision and Biomechanics, vol 28 pp 625-633,September 21-22, 2017, Coimbatore, India.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Time Frequency Analysis (dB2 and dB4) for Epilepsy Classification with LDA Classifier”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Epilepsy Classification Using Fuzzy Optimization and Kernel Fisher Discriminant Analysis”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Oral Cancer Classification from Hybrid ABC-PSO and Bayesian LDA”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Bayesian Linear Discriminant Analysis for Breast Cancer Classification”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Application of Thresholding in Correlation Dimension for Alcoholic Risk Level Detection in EEG Signals”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Power Spectral Density with Correlation Dimension for Epilepsy Classification from EEG Signals”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “.An Approach to Classification of Oral Cancer Using Softmax Discriminant Classifier”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Code Converters Methodology with Kernel Maximum Uncertainty Discriminant Analysis for Epilepsy Classification , 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, Kowshik Saravanan, Mithun Kumar, “Visualizing Local Linear Embedding and Fast ICA with Linear Neural Networks for Epilepsy Classification”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Analyzing Dimensionality Reduction with Softmax Discriminant Classifier for Epilepsy Classification”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Bharanidharan N , Harikumar Rajaguru,“Performance Analysis of Particle Swarm Optimization Technique in Classification of Dementia Using MRI Images”, 2nd IEEE International Conference on Communication and Electronics Systems, Coimbatore, India

Sunil Kumar P, Harikumar R, “ Analysis of Dimensionality Reduction Techniques with Certain Post Classifiers for Epilepsy Classification”, IBRO-APRC Joint Advanced School of Neuroscience, Korea Brain Research Institute, October 18 – 27, 2017 (Ten days), Daegu, South Korea. (With full financial sponsorship)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Performance Analysis of Factor Analysis and Isomap with Hybrid ABC-PSO Classifier for Epilepsy Classification”, International Conference on Biomedical and Health Informatics (ICBHI), Thessaloniki, Greece, 18-21 November 2017 (With IFMBE Best Student Paper Travel Award)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Performance Analysis of Breast Cancer Classification with Softmax Discriminant Classifier and Linear Discriminant Analysis”, International Conference on Biomedical and Health Informatics (ICBHI), Thessaloniki, Greece, 18-21 November 2017. (With IFMBE Travel Award)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Adaboost Classifier with dimensionality reduction techniques for Epilepsy Classification from EEG”, International Conference on Biomedical and Health Informatics (ICBHI), Thessaloniki, Greece, 18-21 November 2017. (With IFMBE Travel Award)

Sunil Kumar Prabhakar, Harikumar Rajaguru , “Comparison of Iso map and Matrix Factorization with Mahalanobis Based Sparse Representation Classifier for Epilepsy Classification from EEG signals” , IEEE Region 10 (Asia Pacific) Humanitarian Technology Conference (R10-HTC) , at Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, 21-23 December 2017(IEEE Travel Award)

Harikumar Rajaguru, Susheel R.N, “Solar Based Automated Plant watering BOT”, Proceedings of the IEEE 2nd International Conference on Computing Methodologies and Communication (ICCMC 2018), February 15-16, Surya Engineering College, Erode, India, pp: 360-362

Harikumar Rajaguru, Rithanyhaa R.E, “Intelligent Edge detection in Abdomen Ultrasound Image”, Proceedings of the IEEE 2nd International Conference on Computing Methodologies and Communication (ICCMC 2018), February 15-16, Surya Engineering College, Erode, India, pp: 368-370

Harikumar Rajaguru, Sandhiya Athiraj, “Intelligent Approach to detect Human Liver Cancer in Abdominal CT Scan”, Proceedings of the IEEE 2nd International Conference on Computing Methodologies and Communication (ICCMC 2018), February 15-16, Surya Engineering College, Erode, India, pp: 371-374

K.Nirmalakumari, Harikumar Rajaguru, P.Rajkumar, “ PCA and DWT Based Gene Selection Technique for Classification of Microarray Data”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 1955-1959

Harikumar Rajaguru, Sunil Kumar Prabhakar, “ Hessian LLE and Naïve Bayesian Classifier for Epilepsy Classification from EEG Signals”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 2353-2356

Harikumar Rajaguru, Sunil Kumar Prabhakar , “ Multilayer Autoencoders and EM-PCA with Genetic Algorithm for Epilepsy Classification from EEG”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 2357-2362

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Factor Analysis and Weighted KNN Classifier for Epilepsy Classification from EEG signals”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 2363-2366

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Isometric Mapping and Naïve Bayesian Classifier for Epilepsy Classification from EEG Signals”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 23672370-

Harikumar Rajaguru, Sunil Kumar Prabhakar, “ Fuzzy Mutual Information and Firefly Algorithm for Epilepsy Classification from EEG”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 2371-2374

Harikumar Rajaguru, Sunil Kumar Prabhakar , “Matrix Factorization with Adaboost Variant Classifier for Epilepsy Classification from EEG signals”, IEEE Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), March 29-31 RVS Technical Campus Coimbatore, India pp 2375-2378

Harikumar Rajaguru, Sunil Kumar Prabhakar , “Design and Simulation of Simplified Epilepsy Risk Level Classification Technique from EEG Signals” , Proceedings of the 3rd International Conference on Design, Analysis, Manufacturing &Simulation, April 6-7, 2018, Saveetha school of Engineering, Chennai, India pp 147-150.

Harikumar Rajaguru, Sunil Kumar Prabhakar, “A Study on firefly Algorithm for Breast cancer Classification”, International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC-IoT, Social, Mobile, Analytics and Cloud Computing) (ISMAC-CVD) Springer Lecture Notes on Computational Vision and Biomechanics, pp 412-419, May 16-17, 2018, SCAD Institute of Technology, Palladam,Coimbatore, India

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Fuzzy c-Means clustering and Gaussian Mixture Model for Epilepsy classification from EEG”, International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC-IoT, Social, Mobile, Analytics and Cloud Computing) (ISMAC-CVD) Springer Lecture Notes on Computational Vision and Biomechanics, pp 420-427, May 16-17, 2018, SCAD Institute of Technology, Palladam,Coimbatore, India

Harikumar Rajaguru, VigneshKumar Arunachalam, Sunil Kumar Prabhakar, “Analysis on Detection of Chronic alcoholics from EEG Signal Segments”, International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC-IoT, Social, Mobile, Analytics and Cloud Computing) (ISMAC-CVD) Springer Lecture Notes on Computational Vision and Biomechanics, pp 428-439, May 16-17, 2018, SCAD Institute of Technology, Palladam,Coimbatore, India

Bharanidharan.N,Harikumar Rajaguru, “Comparison of Particle Swarm Optimization and weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images”, International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC-IoT, Social, Mobile, Analytics and Cloud Computing) (ISMAC-CVD) Springer Lecture Notes on Computational Vision and Biomechanics, pp 987-994, May 16-17, 2018, SCAD Institute of Technology, Palladam, Coimbatore, India

P.Sunil Kumar, Dr. R. Harikumar, “Factorization and Particle Swarm Based Sparse Representation Classifier for Epilepsy Classification Implemented for Wireless Telemedicine Applications” ,Proceedings of 6th International Conference on the Development of Biomedical Engineering Ho Chi Minh City, Vietnam June 27-29, 2016.

P.Sunil Kumar, Dr. R. Harikumar, “Epilepsy Classification Using Discriminant Analysis and Implementation with Space Time Trellis Coded MIMO-OFDM System for Telemedicine Applications”, Proceedings of 6th International Conference on the Development of Biomedical Engineering Ho Chi Minh City, Vietnam June 27-29, 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Hadamard Transform Based PAPR Reduction for Telemedicine Applications Utilized for Epilepsy Classification”, IFBME Proceedings (Springer), 3rd International Conference on Movement, Health and Exercise (MoHE), September 28-30, 2016, Malaysia.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “PCA Based Selective Mapping Technique for Reduced PAPR Implemented for Distributed Wireless Patient Monitoring Epilepsy Classification System”, IFBME Proceedings (Springer), 3rd International Conference on Movement, Health and Exercise (MoHE), September 28-30, 2016, Malaysia

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Entropy Based PAPR Reduction for STTC System Utilized for Classification of Epilepsy from EEG Signals Using PSD and SVM”, IFBME Proceedings (Springer), 3rd International Conference on Movement, Health and Exercise (MoHE), September 28-30, 2016, Malaysia

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Wireless Systems with Reduced PAPR Using K-means Modified PTS Implemented for Epilepsy Classification from EEG Signals”, IFBME Proceedings (Springer), International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH), October 12-15, 2016, Romania.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Efficient Wireless System for Telemedicine Application with Reduced PAPR Using QMF Based PTS Technique for Epilepsy Classification from EEG Signals”, IFBME Proceedings (Springer), International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH), October 12-15, 2016, Romania.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Performance Analysis of GMM Classifier for Classification of Normal and Abnormal Segments in PPG Signals” 16th International Conference on Biomedical Engineering (ICBME), Singapore, December 7-10, 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Development of Patient Remote Monitoring System for Epilepsy Classification”, 16th International Conference on Biomedical Engineering (ICBME), Singapore, December 7-10, 2016

Harikumar Rajaguru, Sunil Kumar Prabhakar, “A Comprehensive Analysis on Breast Cancer Classification with Radial Basis Function and Gaussian Mixture Model”, 16th International Conference on Biomedical Engineering (ICBME), Singapore, December 7-10, 2016

Harikumar Rajaguru, Sunil Kumar Prabhakar,” Performance Comparison of Oral Cancer Classification with Gaussian Mixture Measures and Multi Layer Perceptron”, 16th International Conference on Biomedical Engineering (ICBME), Singapore, December 7-10, 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Factor Analysis, Hessian Local Linear Embedding and Isomap for Epilepsy Classification from EEG”, 2016 Electrical Engineering Conference (EECon), University of Moratuwa, Sri Lanka, pp: 1-6, December 15, 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Expectation Maximization Based PCA and Hessian LLE with suitable Post Classifiers for Epilepsy Classification from EEG Signals”, 8th International Conference on Soft Computing and Pattern Recognition(SoCPAR- 2016) VIT University Vellore, December 19-21, 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Comparison of Fuzzy Output Optimization with Expectation Maximization Algorithm and its Modification for Epilepsy Classification”, Springer International Conference on Cognition and Recognition, ICCR 2016, 30-31,December, 2016 MIT Mysore

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Conceptual Analysis of Epilepsy Classification Using Probabilistic Mixture Models ” 5th IEEE International Winter Conference on Brain-Computer Interface High1 Resort, Gangwon Province south Korea January 9-11 2017.( Full Travel grant and Registration Fee Grant under Young Scientist Category Sponsored By DST-SERB, Government of India)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Comparison of GA driven Auto encoders for Epilepsy Classification Using Certain Post Classifiers Proceedings of the International Conference on IoT, Data Science and Security ICIDS -2017 PSG College of Technology Coimbatore, 5-7 January, 2017 pp 190-201

K.Nirmalakumari, Dr. R. Harikumar, Dr.P.Rajkumar,Hybrid, “Feature Extraction Technique for Cancer Classification using Microarray Data”, International conference on Data Science and Engineering (ICDSE-17) PSG College of Technology Coimbatore, 20-21 January, 2017, pp:16-21.

Harikumar Rajaguru, G.Karthick, “Performance Analysis of Wavelets functions using Denoising for Clinical Database”, Second International Conference on Intelligent and Efficient Electrical Systems (ICIEES17), PSG College of Technology Coimbatore, 20-21January, 2017,pp 190-201

Karthick.G, Harikumar.R, “Comparative Performance Analysis of Naive Bayes and SVM classifier for Oral X-ray images”, IEEE Sponsored 4th International Conference on Electronics and Communication Systems-ICECS’17, pp 89-93 February 24-25, 2017. (Scopus Indexed)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Utilization of Dimensionality Reduction Techniques along with PCA as a Post Classifier for the Classification of Epilepsy Risk Levels”, Proceedings of National Conference of Innovations in Engineering and Technology , NCIET, February 25, 2017

Sunil Kumar Prabhakar, Harikumar Rajaguru, “A Simplified Epilepsy Risk Level Classification Technique Utilizing SVD” Proceedings of National Conference of Innovations in Engineering and Technology , NCIET, February 25, 2017

Harikumar Rajaguru, Sunil Kumar Prabhakar, ‘Power Spectral Density and KNN Based Adaboost Classifier for Epilepsy Classification’, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.441-445

Harikumar Rajaguru, Sunil Kumar Prabhakar, ‘Metric Multidimensional Scaling and Aggregation Operators for Classifying Epilepsy from EEG signals, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.567-570

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Hilbert Transform with Elman Backpropagation and Multilayer Perceptrons for Epilepsy Classification”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.571-576 (Best Paper Award)

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Non Linear ICA and Logistic Regression for Classification of Epilepsy from EEG signals”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.577-580

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Sparse PCA and Soft Decision Tree Classifiers for Epilepsy Classification from EEG signals”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India , pp. 581-584

Harikumar Rajaguru, Sunil Kumar Prabhakar, “A Comprehensive Analysis of Support Vector Machine and Gaussian Mixture Model for Classification of Epilepsy from EEG Signals”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.585-593

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Epilepsy Classification through Multi-Label Dimensionality Reduction through Dependence Maximization and Elite Genetic Algorithm”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.594-597

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Optimization of Fuzzy Outputs for Classification of Epilepsy from EEG Signals”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India ,pp.598-602

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Modified Expectation Maximization Based Sparse Representation Classifier for Classification of Epilepsy from EEG Signals”, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp.607-610 (Best Paper Award)

Harikumar Rajaguru, Sunil Kumar Prabhakar, “Expectation Maximization Based Logistic Regression for Breast Cancer Classification, IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India , pp. 603-606

Sunil Kumar Prabhakar, Harikumar Rajaguru, “EM Based Non-Linear Regression and Singular Value Decomposition for Epilepsy Classification’, 6th IEEE ICT International Student Project Conference 2017 (ICT-ISPC), Universiti Teknologi Malaysia, Johor Bahru, Malaysia, 23-24 May, 2017.

Sunil Kumar Prabhakar, Harikumar Rajaguru, ‘Performance Analysis of Linear Layer Neural Networks for Oral Cancer Classification’, 6th IEEE ICT International Student Project Conference 2017 (ICT-ISPC), Universiti Teknologi Malaysia, Johor Bahru, Malaysia, 23-24 May, 2017

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Particle Swarm Based Sparse Representation Classifier for Classification of Epilepsy from EEG Signals” 14th Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology Conference (ECTICON- 2017) held at Phuket, Thailand, June 27-30, 2017(IEEE Travel Grant)

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Performance comparison of extreme learning machines, genetic algorithm and neural networks (MLP) for classification of Epilepsy risk levels from EEG Signals”, International Conference on Epilepsy and Treatment, September 21-22,2015, Baltimore, USA

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ ICA, LGE and FMI as Dimensionality Reduction Techniques followed by GMM as Post Classifier for the Classification of Epilepsy Risk Levels from EEG Signals”, 9th IEEE European Modelling Symposium 2015, October 6-8, Madrid, Spain, 978-1-5090-0206-1/15, DOI: 10.1109/EMS.2015.20

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Classification of Epilepsy Risk using Variable Thresholding Based Feature Extraction Technique and suitable Post Classifiers”, 9th IEEE European Modelling Symposium 2015, October 6-8, Madrid, Spain, 978-1-5090-0206-1-15, DOI: 10.1109/EMS.2015.22

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ Application of Linear Graph Embedding as a Dimensionality Reduction Technique and Sparse Representation Classifier as a Post Classifier for the Classification of Epilepsy Risk Levels from EEG Signals”, 7th International Conference on Graphic and Image Processing (ICGIP), 2015. October 23-25, Singapore

Sunil Kumar Prabhakar, Harikumar Rajaguru, “ An Efficient Classification of Epilepsy Risk Levels from EEG Signals Using Hard Thresholding Computation Applied to Code Converters”, Proceedings of 2015 IEEE Student Symposium in Biomedical Engineering and Sciences (ISSBES), November 4, 2015, Universiti Teknologi Mara, Malaysia

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Performance Comparison of Fuzzy Mutual Information as Dimensionality Reduction Techniques and SRC, SVD and Approximate Entropy as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG Signals”, Proceedings of 2015 IEEE Student Symposium in Biomedical Engineering and Sciences (ISSBES), November 4,2015, Universiti Teknologi Mara, Malaysia.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “A Different Approach to Epilepsy Risk Level Classification Utilizing Various Distance Measures as Post Classifiers”, Proceedings of 2015 IEEE 8th Biomedical Engineering International Conference (BMEICON), November 25-27,2015,Pattaya,Thailand.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “A Novel Combination of Code Converters and Sparse Representation Classifier for an Efficient Epilepsy Risk Level Classification”, Proceedings of 2015 IEEE 8th Biomedical Engineering International Conference (BMEICON), November 25-27,2015,Pattaya,Thailand.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “PCA and K-means Clustering for Classification of Epilepsy Risk Levels from EEG Signals – A Comparitive Study Between Them”, Proceedings of the International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS), November 28-30, Okinawa Japan.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “Morphological Operator Based Feature Extraction Technique along with suitable Post Classifiers for Epilepsy Risk Level Classification”, Proceedings of the International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS), November 28-30, Okinawa Japan

Sunil Kumar Prabhakar, Harikumar Rajaguru, “GMM better than SRC for Classifying Epilepsy Risk Levels from EEG Signals”, Proceedings of the International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS), November 28-30, Okinawa Japan.

K.Nirmalakumari, Dr. R. Harikumar, Dr. P. Rajkumar, “Clustering Techniques from Significance Analysis of Microarrays”, 2nd International Conference On Computational Intelligence, Cyber Security And Computational Models , PSG College of Technology Coimbatore, 17-19 December, 2015, pp181-194

P.Sunil Kumar, Dr. R. Harikumar, “Performance Analysis of ApEn as a Feature Extraction Technique and Time Delay Neural Networks, Multi Layer Perceptron as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG Signals”, 2nd International Conference On Computational Intelligence, Cyber Security And Computational Models , PSG College of Technology Coimbatore, 17-19 December, 2015,pp89-97.

Ms M.Manjusha, Dr R.Harikumar, “Performance Analysis Of K NN Classifier And K-Means Clustering For Robust Classification Of Epilepsy From EEG Signals” ,National Conference On Recent Trends In Information Technology-2016, PSG College Of Tech Coimbatore 29-30th Jan 2016

Ms C.Abirami , Mr S.R.Sannasi Chakravarthy ,Dr R.Harikumar “Performance Analysis And Detection Of Micro Calicification In Digital Mammograms Using Wavelet Features” , National Conference On Recent Trends In Information Technology-2016, PSG College Of Tech Coimbatore 29-30th Jan 2016

K.KavinMullai, R.Harikumar and P.Santhoshini “A Review on Power Electronic Converters Used for Wind Energy Conversion System” ,Proceedings of International Conference on Renewable Energy and Sustainable Environment – RESE 15 Dr. Mahalingam College of Engineering and Technology, Pollachi-642003, India. August 10-13, 2015, pp 9-11

P.Sunil Kumar, Dr. R. Harikumar, “Cascaded Feed Forward Neural networks and Generalized Regression as Post Classifiers for epilepsy Risk level Classification –A Study”, 3rd MEC International Conference On Big Data and Smart City Middle East College, Muscat, 15&16 March 2016.

Ms M.Manjusha, Dr R.Harikumar, “ Performance Analysis Of K NN Classifier And K-Means Clustering For Robust Classification Of Epilepsy From EEG Signals” ,IEEE International Conference On wireless Communications Signal Processing and Networking (WiSPNET)-2016, SSN College Of Engineering Chennai 23-25th March 2016

Ms C.Abirami , Dr R.Harikumar, Mr S.R.Sannasi Chakravarthy , “Performance Analysis And Detection Of Micro Calicification In Digital Mammograms Using Wavelet Features” , IEEE International Conference On wireless Communications Signal Processing and Networking (WiSPNET)-2016, SSN College Of Engineering Chennai 23-25th March 2016

P.Sunil Kumar, Dr. R. Harikumar, “Three Modified Versions of Sparse Representation Classifier and Navie Bayesian Classifier for Epilepsy classification from EEG Signals”, Proceedings of International Conference On Communication and Security, (ICCS 2016)Department of ECE, Pondicherry Engineering College Puducherry, 17 to 19 March 2016.

P.Sunil Kumar, Dr. R. Harikumar, “Dimensionality Reduction and Neural Networks for Epilepsy Classification”, Proceedings of International Conference On Communication and Security, (ICCS 2016)Department of ECE, Pondicherry Engineering College Puducherry, 17 to 19 March 2016.

P.Sunil Kumar, Dr. R. Harikumar, “SVD, ApEn and Weighted KNN Measures as Post Classifiers for Epilepsy Classification”, Proceedings of International Conference On Communication and Security, (ICCS 2016) Department of ECE, Pondicherry Engineering College Puducherry, 17 to 19 March 2016.

P.Sunil Kumar, Dr. R. Harikumar, “Wavelet Neural Networks For Detection and Classification of Epilepsy From EEG Signals”, Proceedings of International Conference On Communication and Security, (ICCS 2016) Department of ECE, Pondicherry Engineering College Puducherry, 17 to 19 March 2016.

Mr S.R.Sannasi Chakravarthy, Dr R.Harikumar, “A Comparison of Extreme Learning Machine and Artificial Neural Network in the detection of Micro calcification in Digital Mammograms” , Proceedings of International Conference On Communication and Security, (ICCS 2016) Department of ECE, Pondicherry Engineering College Puducherry, 17 to 19 March 2016.

Sunil Kumar Prabhakar, Harikumar Rajaguru, “SVD as a Post Classifier for the Classification of Epilepsy Risk Levels” ,A Unique Perspective Proc. of 4th National Conf. on Frontiers Applied Sciences and Computer Technology (FACT’16), NIT Trichy, March 18& 19, 2016, Vol.04 PP: 199-203

P.Sunil Kumar Dr. R. Harikumar, “ Code Converters with City Block Distance Measures for Classifying Epilepsy from EEG Signals” ,Fourth International Conference on Recent Trends in Computer Science & Engineering In Association with Elsevier – Procedia Computer Science, Chennai on 29 & 30 Apr 2016, Procedia Computer Science 87 ( 2016 ) 5 – 11

Sunil Kumar Dr. R. Harikumar, “ Investigations on soft computing techniques and non- linear models for performance analysis and classification of Epilepsy risk levels from EEG signals” , Fourth International Symposium on Acoustic, Speech and Signal Processing (SASSP) 2016 at University of Kuala Lumpur British Malaysian Institute on 17th May 2016

Sunil Kumar Prabhakar, Harikumar Rajaguru , “A Comprehensive Review on Photoplethysmography and its Application for HRT Clinical Diagnosis” Proceedings of the 2nd International Conference on Advances in Intelligent Systems (INTELSYS 2014), pp:9-15, held in Double Tree Hilton, Jakarta, Indonesia from 27-28 September 2014

P.Sunil Kumar, R.Harikumar, “Performance Comparison of PCA, ICA, Entropy and MI for Photo plethymography Signals”, Proceedings of the 2nd IEEE International Conference on Innovations in Information, Embedded and Communication Systems, held at Karpagam College of Engineering, Coimbatore, 19-20 March 2015, Vol. 2, pp: 394-396. ISBN:978-1-4799-6816-9

P.Sunil Kumar, R.Harikumar, “Performance Analysis of EM, MEM and CTM for Photoplethysmography Signals, Proceedings of the 2nd IEEE International Conference on Innovations in Information, Embedded and Communication Systems, held at Karpagam College of Engineering, Coimbatore, 19-20 March 2015, Vol. 3, pp: 390-393. ISBN:978-1-4799-6816-9

R.Harikumar, K.Priya,” Performance Analysis of Wavelet Transform and Extreme Learning Machine for the classification of Epilepsy Risk levels from EEG Signal,” National conference on Modern Communication technologies (NCMCT-2014), Department of ECE BIT Sathy during 30-31 October 2014.

K.Priya, Dr.R.HariKumar, B.Vinoth Kumar, “A comparison of extreme learning machine and neural Network in the classification of epilepsy risk levels from EEG Signals,” Proceedings of International Conference on Engineering Technology and Science (ICETS’15), MEC Rasipuram 5th &6th March 2015, pp836-842.

K.Priya, Dr.R.HariKumar, B.Vinoth Kumar, “Extreme Learning Machine Based Analysis in Epilepsy Risk Levels Classification of EEG Signals Using Wavelet Transforms with Adaptive Thresholding,“Proceedings of the 2nd IEEE International Conference on Innovations in Information, Embedded and Communication Systems, held at Karpagam College of Engineering, Coimbatore, 19-20 March 2015, Vol. 2, pp: 414-419. ISBN: 978-1-4799-6816

P.Sunil Kumar,R.Harikumar, “Dimensionality Reduction Techniques for Eletroencephalography signals from Epileptic Patients”, Proceedings of the International Conference on Mechanical and Manufacturing Engineering, held at SCSVMV University Kanchipuram, 2&3rd April 2015, pp20.

Dr. R.Harikumar, M.Jothi, Performance Evaluation of a Fuzzy Processor, Proceedings of 4th IEEE International Conference on Computing, Communication and Networking Technologies, (ICCCNT 2013), Vivekanandha college of engineering for Woman, Tiruchengode, 4th to 6th July 2013

Dr.R.HariKumar, B.Vinoth Kumar, “Performance Analysis of EM, SVD and SVM Classifiers in Classification of Carcinogenic Regions of Medical Images,” Proceedings of 15th International Conference on Biomedical Engineering (ICBME – 2013) NUS Singapore, December 4th – 7th 2013, IFMBE Vol. 43,pp 617-620,

Dr.R.HariKumar, S.N.Shivappriya, “Performance Comparison of SVM and Naïve Bayes Classifiers with Wavelet Based Feature Extraction for Classification of Arrhythmias”, International Conference on Intelligent and Efficient Electrical Systems(ICIEES – 2013) PSG College of Technology Coimbatore, December 12th – 14th 2013

Dr.R.HariKumar, T.Vijayakumar, G.A. Nivhedhitha, “Analysis of Extreme Learning Machine in Classification of Epilepsy Risk level from EEG Signals,”–Best paper Award National Conference on Communication Systems and VLSI Design(NCCSVD– 2014) PSG College of Technology Coimbatore, January 30th 2014

Dr.R.HariKumar, Dr.C.Ganesh Babu, S.Deepa, “Denoising Algorithm for Medical Imaging Using Curvelet Transform”, National Conference on Communication Systems and VLSI Design(NCCSVD– 2014) PSG College of Technology Coimbatore, pp. 34-38, January 30th 2014

Dr.R.HariKumar, T.Vijayakumar, G.A. Nivhedhitha, “Analysis of Extreme Learning Machine in Classification of Epilepsy Risk level from EEG Signals with morphological operators for Feature Extraction 6th National Conference on Signals ,Systems and Security (NCSSS– 2014) Bannari Amman Institute of Technology, Sathyamnagalam , February27th &28th 2014

Dr.R.HariKumar, Dr.P.Sampath, Sibushri.G , “Drowsiness Estimation and Classification of Epilepsy risk levels from level from EEG Signals Using Chaos Theory ,6th National Conference on Signals ,Systems and Security (NCSSS– 2014) Bannari Amman Institute of Technology, Sathyamnagalam , February27th &28th 2014.

Dr.R.HariKumar, Dr.C.Ganesh Babu, M.Balasubramani, G.A. Nivhedhitha, “Performance Analysis of Extreme Learning Machine for Robust Classification of Epilepsy from EEG Signals International Conference on Innovations in Information Embedded and Communication Systems-2014, Karpagam Engineering College, Coimbatore, March 13th 2014, pp 174-178.

Dr. R.Harikumar, P.Manimekalai, “Design of A Stand alone PV Power system for Rural Electrification in India- A-Review” , Proceedings of the IETSD2012: 3-5 September 2012 BIT Sathy, pp EE9-EE14.

Dr. R.Harikumar, S.N.Shivappriya, “Feature Extraction and Classification of ECG Signal” Proceedings of the IETSD2012: 3-5 September 2012 BIT Sathy, pp EC307-EC316

Dr. R.Harikumar, Jennifer S Raj, “ Analysis Of Topology Constructions Using Tree Structure Method In Wireless Networks Proceedings of the IETSD2012: 3-5”, September 2012 BIT Sathy, pp EC367-EC372

Dr. R.Harikumar, B.Vinoth Kumar, “Hierarchical Clustering Algorithm for Intensity Based Cluster Merging” , Proceedings of the IETSD2012: 3-5 September 2012 BIT Sathy, pp EC386-EC391

Dr. R.Harikumar, T.Vijayakumar, “Fuzzy Logic in Medical Diagnosis- A Case Study”, Proceedings of the IETSD 2012: 3-5 September 2012 BIT Sathy, pp EC392-EC396

Dr.R.Harikumar, B.Vinoth kumar, S.Gowthami, “Performance Analysis of LPG -PCA algorithm in denosing of Medical images” 5th International Conference on Science , Engineering and Technology (SET) VIT University Vellore during 8th &9th Nov 2012

Dr.R.Harikumar, T.Vijayakumar, Dr.C.Ganesh Babu,,M.G.Sreejith, “Performance Analysis of Morphological Operators based Feature Extraction and SVD, Neural Networks as Post Classifier for the Classification of Epilepsy Risk Levels”. Springer 4th International Conference on Signal and Image Processing (ICSIP 2012), hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Harikumar, T.Vijayakumar, Dr.C.Ganesh Babu, M.G.Sreejith, “Performance Analysis of Wavelet Transforms and Principal Components as Post Classifier for the Classification of Epilepsy Risk Levels from EEG Signals”. Springer 4th International Conference on Signal and Image Processing (ICSIP 2012), hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Harikumar, Dr.C.Ganesh Babu, M.Balasubramani, P.Sinthiya, “Analysis of SVD Neural Networks for Classification of Epilepsy Risk Level from EEG Signals”. Springer 4th International Conference on Signal and Image Processing (ICSIP-2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Harikumar, Dr.N.B.Balamurugan, M.Jothi,FPGA “Synthesis of SIRM Fuzzy System – Classification of Diabetic Epilepsy Risk Levels From EEG signal Parameters and CBF”, Springer 4th International Conference on Signal and Image Processing(ICSIP2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Harikumar, B.Vinoth Kumar, G.Karthick, L.K.Chand , C.Navin Kumar “Hierarchical Clustering Algorithm for Intensity Based Cluster Merging and Edge Detection In Medical Images” , Springer 4th International Conference on Signal and Image Processing(ICSIP2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Hari Kumar, Dr.C.Ganeshbabu, Dr.P.Sampath , Mr. M.Ramkumar, “PERFORMANCE ANALYSIS OF AN ACTIVITY BASED MEASUREMENT OF BLOOD FLOW USING IMPEDANCE PLETHYSMOGRAPHY”, Springer 4th International Conference on Signal and Image Processing(ICSIP2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Hari Kumar, S.N.Shivappriya,, “A NOVEL APPROACH FOR DIFFERENT MORPHOLOGICAL CHARACTERIZATION OF ECG SIGNAL”, Springer 4th International Conference on Signal and Image Processing(ICSIP2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Sampath.P, R.Harikumar, Gunavathi K, “CMOS 2nd Order Gm-C Intermediate Frequency Band Pass Filters for Wireless Systems”, Springer 4th International Conference on Signal and Image Processing(ICSIP2012),hosted by, Dr.N.G.P Institute of Technology Coimbatore during DEC 13-15, 2012.

Dr.R.Harikumar, B.Vinoth kumar, S.Gowthami, “Performance Analysis of LPG -PCA algorithm in denosing of Medical images”, Proc of IEEE International Conference on Machine vision and Image Processing, (MVIP) PSG College of Technology, Coimbatore during 14th &15th Dec 2012,pp 125-128.

Dr.R.Harikumar, P.Manimekalai, “Design Cost Estimation and Simulation of a Stand-Alone PV Power Generation System using Interleaved Converter” , International Conference on Emerging Trends in Science, Engineering & Technology (INCOSET-2012), JJ college of engineering and technology, Trichy 13th & 14th December 2012.

Dr.R.Harikumar, T.Vijayakumar, R.Kasthuri, “Performance Analysis of hybrid PSO Optimization In Optimization of Epileptic Risk Level In EEG Inputs DRDO sponsored National conference On Recent trends in control system and power electronics”, hosted by, Vivekanandha Institute of Engineering and Technology for Women, Tiruchengode during DEC 27&28, 2012.

T.Punithavalli, Ms.S.N.Shivappriya , Dr.R.Harikumar, “ Classification Of Cardiac Abnormalities Using Artificialneural Network Classifier”, Proceedings of International Conference on Innovations in Intelligent Instrumentation, Optimization and Signal Processing (ICIIIOS’13) Karunya University, Coimbatore 1&2 March 2013,pp 1492-1496.

Dr.R.Harikumar, T.Vijayakumar, R.Kasthuri, “Performance Analysis Of Conventional PSO And Hybrid Pso In Epileptic Seizure Risk Level Calculation”, Proceedings of International Conference on Innovations in Intelligent Instrumentation, Optimization and Signal Processing (ICIIIOS’13) Karunya University, Coimbatore 1&2 March 2013,pp 638-643.

Dr.R.Hari Kumar, Dr.C.Ganeshbabu, Mr. M.Ramkumar, “Development of Forearm Impedance Plethysmography for the Maximally Non Invasive Monitoring And Measurement of Blood Flow”, 3rd National conference on Recent Advances in Computing (NCRAC 2013) ,hosted by, Sri Krishna College of Engineering and Technology, Coimbatore during March 8&9, 2013.

Dr.R.Hari Kumar, M.Balasubramani, S.Saravanan, “FPGA Implementation of Neural Network for Epilepsy detection, Proceedings of Third National conference on Recent Advances in Power Electronics and Industrial Drives (PEID)” ,hosted by INFO Institute of Engineering, Coimbatore during March 15th &16th,2013,pp442-446.

M.Jothi, N.B.Balamurugan, R.Harikumar , “Fuzzy processor based on VLSI -a review” , Proceedings of IEEE – International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing – 2013 held at St Josephs College of Engineering and Technology – Palai ,during 22-23 March 2013,

T.Punithavalli, Ms.S.N.Shivappriya, Dr.R.Harikumar, “ Feed Forward Neural network Classifier for the detection and classification of cardiac fourth National conference on Recent trends in communication, computation and signal processing” ,(RTCSP 2013) Amrita University, Coimbatore 10 -13 April 2013,

Dr.R.Harikumar, M.Balasubramani, K.Shouth Ali, S.Saravanan, “ FPGA Implementation of Wavelet Neural Network for Epilepsy Detection” , Proceedings of International Conference of Computational Intelligence &Advanced Manufacturing Research (ICCIAMR) held at,Vels University, Chennai during 5&6th April2013, ISBN: 978-81-924031-7-5, pp 131-136.

Dr. R.Harikumar, T.Vijaykumar, Dr.C.Palanisamy “Performance Analysis of Fuzzy Techniques Hierarchical Aggregation Functions Decision Trees and Support Vector Machine (SVM)for the Classification ofEpilepsy Risk Levels from EEG Signals”, IEEE Recent Advances in Intelligent Computational Systems RAICS 2011 Conference Sep 22-24, 2011

Dr.R.Harikumar, T.Vijayakumar, “Comparison of Hierarchical Aggregation Functions Decision Trees and Rule Based AI Optimization in the Classification of Fuzzy based Epilepsy Risk Levels from EEG Signals” ,11th International Conference on Hybrid Intelligent Systems (HIS 2011) Malacca, Malaysia during December 05-08, 2011

Dr.R.Harikumar, Manimekalai, “ Energy Management by soft computing Fuzzy control Models for A Hybrid system”, National conference on Emerging Trends in Electrical Sciences IRTT Erode August 4, 2011

Jennifer S Raj, Dr.R. Hari Kumar, “ Power Efficient Topology Control in Wireless Ad Hoc Networks”, International Conference on Distributed Computing Engineering (ICDCE 2011) Dubai, UAE. December 28-30, 2011

Jennifer S Raj , Dr.R. Hari Kumar, “ A New Distributed Architecture for connectivity Analysis in Wireless Networks”, International Conference on Communication Technology &system Design- ICCTSD 2011, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore,7-9 December 2011

Dr. R. Hari Kumar ,G. Karthick , “Hierarchical Clustering Algorithm for Intensity Based Cluster Merging” National conference on Telecommunication and control Engineering NCTCE’12 PPG Institute of Technology Coimbatore, 6th January, 2012

G.Karthick, Dr.Harikumar, B.Vinoth kumar , “SVD and Kmeans clustering algorithm for Edge Detection in Medical Images” , 5th NCSSS 2012 , BIT Sathy, 23-24th February 2012

Dr. C. Ganesh Babu, Dr. R. Hari Kumar, Dr. P.T. Vanathi, “Performance Analysis of Hybrid Robust Automatic Speech Recognition System” , International Conference on Signal Processing, Computing and Control IEEE ISPCC-2012 March 15-17 2012 Jaypee University Shimla.

Dr.R.Harikumar, M.Jothi, “FPGA Synthesis of SIRM Fuzzy systems classification of Diabetic epilepsy risk levels” , International conference on Modeling Optimization and computing (ICMOC 2012) , Noorul Islam University, Kumara coil Tamilnadu, on 10&11 April 2012

Dr.R.Harikumar, T.Vijayakumar, M.G.Sreejith, “Performance Analysis of SVD and K-means Clustering for Optimization of Fuzzy outputs in Classification of Epilepsy Risk Level from EEG Signals” , 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2012),Hua hin Thailand May 16-18 2012.

Dr. R. Hari Kumar,G. Karthick, “ Hierarchical Clustering Algorithm for Edge detection in medical Image Processing”, Internationall conference ICFTEE’12 Thiruvalluvar College of Engineering and Technology, Chennai, March, 2012

Dr.R.Harikumar, M.Jothi. “FPGA Synthesis of Heterogeneous and SIRM Fuzzy systems for classification of Diabetic epilepsy risk levels with reduced false level”, International Conference on Systemics, Cybernetics and informatics (ICSCI-2011) Hyderabad during 5-8th January 2011.

Dr.R.Harikumar, T.Vijayakumar, Dr. C. Palanisamy, “Performance Analysis of Support Vector Machine (SVM) and Minimum Relative Entropy (MRE) for the Classification of Epilepsy Risk Levels from EEG Signals”, National Conference on Emerging Trends in Engineering and Technology NET-2011, 25- 26 February, 2011, Government Engineering College, West Hill P.O., Kozhikode, Kerala 673005

Dr.R.Harikumar, T.Vijayakumar, Dr. C.Palanisamy ,“ Performance Analysis of Wavelet Networks for the Classification of Epilepsy Risk Levels from EEG Signals” Best paper Award National Conference on Emerging Trends in Engineering and Technology NET-2011, 25- 26 February, 2011, Government Engineering College, West Hill P.O., Kozhikode, Kerala 673005

Dr.R.Harikumar, P.Sreenithi, T.S. Harivikram, P. Jayanth Kumar “Simulation of Photo Plethysmographic Glucometer”, National Conference on Emerging Trends in Engineering and Technology NET-2011, 25- 26 February, 2011, Government Engineering College, West Hill P.O., Kozhikode, Kerala 673005

Dr.R.Harikumar, T.Vijayakumar, Dr. C.Palanisamy “Performance Analysis of Wavelet Transforms and Elman Neural Networks for the Classification of Epilepsy Risk Levels from EEG Signals”, International Conference on Communication and Signal Processing 2011(ICCOS’11) at Karunya University, Coimbatore, during 17th and 18thMarch 2011.

Dr.R.Harikumar, T.Vijayakumar, Dr. C.Palanisamy, “Performance Analysis of Fuzzy Soft Decision Trees Models and Support Vector Machines for Epilepsy Risk Level Classifications from EEG Signal Parameters”, International Conference on Communication and Signal Processing 2011(ICCOS’11) at Karunya University, Coimbatore, during 17th and 18th March 2011.

Dr.R.Harikumar, S.Arun , “Analysis of an Edge Preserving Denoising Technique for X-Ray and Ultrasonic Images Using Wavelet Transform”, International Conference on Communication and Signal Processing 2011(ICCOS’11) at Karunya University, Coimbatore, during 17th and 18th March 2011.

Dr.R.Harikumar, T.Vijayakumar, “Comparison of Hierarchical Aggregation Functions Decision Trees and Minimum Relative Entropy in the Classification of Fuzzy based Epilepsy Risk Levels from EEG Signals”, third National conference on Information science (NCIS- 2011) conducted by Manipal centre for Information Science Manipal University Manipal, during 29.04.2011& 30.04.2011

Dr.R.Harikumar, “Fuzzy Based Photo Plethysmography for Earlier Detection of Cancer”, third National conference on Information science (NCIS- 2011) conducted by Manipal centre for Information Science Manipal University Manipal, during 29.04.2011& 30.04.2011

Dr.R.Harikumar, Dr.C.Palanisamy, T.Vijayakumar, “Performance Analysis of SVM and MRE for the classification of Epilepsy risk level from EEG signals”, 4th National Workshop on Intelligent Data Analytics and Image Processing (IDAIP-2010) 15-16 Oct 2010, BIT Sathyamangalam

R.Harikumar, A.Keerthivasan, M.Logesh Kumar “Performance Analysis of Support Vector Machine (SVM) for optimization of Fuzzy based Epilepsy Risk level Classifications using Different Types of Kernel Functions from EEG signal Parameters”, IAENG International Conference On AI and Applications (ICAIA-2009) 18-20 March 2009, Hong Kong

M.Logesh Kumar R.Harikumar, A.Keerthivasan, “Fuzzy Controller for Automatic Drug Infusion in Cardiac Patients”, IAENG International Conference On AI and Applications (ICAIA-2009) 18-20 March 2009, Hong Kong

Dr.R.Harikumar, “Analysis of patient specific Elman-Chaotic Optimization Model for Fuzzy based Epilepsy risk Level Detection from EEG Signals”, International Conference on Modeling and Simulation in Trivandrum, MS’09 2-4 Dec2009

Dr.R.Harikumar, Dr.N.S.Vasanthi, “ Performance Analysis of Artificial Neural Networks in Classification of Oral Cancer Stages”, International Conference on Modeling and Simulation in Trivandrum, MS’09 2-4 Dec2009

Dr.R.Harikumar, “Performance Analysis of Patient Specific Epilepsy Risk Level Classifications from EEG Signals using Two Tier Hybrid (Fuzzy, Soft Decision Trees Models and MLP Neural Networks) Classifiers”, International Conference on Modeling and Simulation in Trivandrum, MS’09 2-4 Dec2009

Dr.R.Harikumar, “Performance Analysis of Singular Value Decomposition (SVD) and Radial basis Function (RBF) Neutral Networks for Epilepsy Risk Levels Classifications from EEG signals”, International Conference on Modeling and Simulation in Trivandrum, MS’09 2-4 Dec2009

Dr.R.Harikumar, J.Poornima, “FPGA Implementation of Fuzzy Processor for Traffic Light Controller International Conference & Exhibition on Total Engineering, Analysis & Manufacturing technologies”, 19-21 November 2009, Bangalore.

Dr.R.Harikumar, M.Balasubamani, “ FPGA Implementation of Soft Decision Trees (SDT) in Classification of Epilepsy Risk Levels From Fuzzy Based Classifier”, International Conference & Exhibition on Total Engineering, Analysis & Manufacturing technologies, 19-21 November 2009, Bangalore.

Dr.R.Harikumar, P.Sreenithi, T.S. Harivikram, “Analysis of Chaos in EEG signals for Estimation of Drowsiness and classification of Epilepsy risk levels”,12th International Conference on Networking, VLSI and Signal Processing (ICNVS’10) Feb 18&19 2010, Coimbatore

Dr.(Mrs.).R.Sukanesh, Dr.R.Harikumar “Estimation of drowsiness from EEG Signals- A Perspective Approach”, National conference, 4th NCSSS-2010, 26-27 Feb 2010, BIT Sathyamangalam

R.Harikumar, “VLSI design and simulation of fuzzy processor for diabetic epilepsy risk level classification”, International Conference on Systemics, Cybernetics and Informatics. (ICSCI – 2008). January 02 – 05, 2008, at Hyderabad

R.Harikumar, “VLSI design and simulation of Fuzzy PD controller for insulin pumps in diabetes”, International Conference on Systemics, Cybernetics and Informatics. (ICSCI – 2008). January 02 – 05, 2008, at Hyderabad

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Performance analysis of Elman &Radial basis Function (RBF) Neural Networks in optimization of fuzzy outputs for epilepsy risk level classification from EEG Signals”, National conference, 3rd NCSSS-2008,BIT Sathyamangalam

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Singular value decomposition (SVD) as a Post classifier for classification of epilepsy risk levels”, National conference, 3rd NCSSS-2008,BIT Sathyamangalam

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Analysis of patient specific chaotic optimization model for fuzzy based epilepsy risk level detection from EEG signals”, National conference, 3rd NCSSS-2008, BIT Sathyamangalam

R.Harikumar, “Fuzzy (PD&PID) controller for Insulin Pump”, National conference, 3rd NCSSS-2008,BIT Sathyamangalam

R.Harikumar , M.Jothi, “VLSI synthesis of heterogeneous and SIRM fuzzy system for classification of Diabetic epilepsy risk levels” , National conference, 3rd NCSSS-2008,BIT Sathyamangalam

R.Harikumar , J.Prabhavathy, “FPGA Implementation of fuzzy PD controller for Insulin Pumps in diabetes”, National conference, 3rd NCSSS-2008,BIT Sathyamangalam

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Fuzzy Techniques and Hierarchical Aggregation Functions Decision Trees for the Classification of Epilepsy Risk Levels from EEG Signals”, International Conference IEEE TENCON 2008, Hyderabad. India, IEEE-Region 10,November 2008

R.HariKumar, V.K.Sudhaman, “FPGA Implementation of fuzzy (PD&PID) controller for insulin pumps in diabetes”, International Conference ICBME 2008IFMBE & BES, Singapore. December 2008

R.Harikumar,A. Keerthi Vasan , M Logesh Kumar, “ Performance Analysis of Support Vector Machine (SVM) for Optimization of Fuzzy Based Epilepsy Risk Level Classifications from EEG Signal Parameters”, International Conference ICBME 2008, IFMBE&BES,Singapore. December 2008

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “ Analytical Decision Making from Clinical Data- Diagnosis and Classification of Epilepsy Risk levels from EEG Signals-A Case Study”, International Conference ICBME 2008 IFMBE&BES,Singapore. December 2008

R.Harikumar, Dr.A.Shanmugam, Rajan.P, “VLSI Synthesis of Heterogeneous and SIRM Fuzzy System for classification of Diabetic Epilepsy Risk levels”, Cairo International Biomedical Engineering Conference 2008 CIBEC’08 Conference-Cairo-EGYPT, December2008.

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Elman Neural Network in Optimization of Fuzzy outputs for Classification of Epilepsy Risk Levels from EEG Signals” , International Conference on Systemics, Cybernetics and Informatics. (ICSCI – 2007). January 03 – 07, 2007, at Hyderabad.

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Comparison of Image Compression by Minimum Relative Entropy (MRE), DCT and Restoration through Weighted Region Growing Techniques for X-Ray &Ultrasonic Medical Images”, International Conference on Systemics, Cybernetics and Informatics. (ICSCI – 2007). January 03 – 07, 2007, at Hyderabad.

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “A structured soft (Max-Min) decision trees for patient specific Fuzzy classifier in the classification of epilepsy risk levels from EEG signals”, International Conference on computational Intelligence and Multimedia applications (ICCIMA’07 )Dec 13-15 2007 at .Mepco Engg college, Sivakasi

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Comparison of Image compression by Minimum relative entropy (MRE), DCT, Structured (Max-Min) Decision tree and restoration through weighted region growing techniques for X-Ray & Ultra sonic Medical Images” , International Conference on computational Intelligence and Multimedia applications (ICCIMA’07 )Dec 13-15 2007 at .Mepco engg college, sivakasi

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Neural networks for Classification of epilepsy risk levels from EEG Signals” , National conference, 2nd NCSSS-2006,BIT Sathyamangalam

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “ Minimum Relative Entropy (MRE) Method for Fuzzy based Classification of Epilepsy Risk Levels from EEG Signals”, International Conference ICBPE 2006 Singapore. December2006

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “ VLSI Design And Simulation of a SIRM Fuzzy System – Diabetic Epilepsy Risk Level Classifier –A Case Study”, International Conference ICBPE2006,Singapore. December2006

Dr.(Mrs.).R.Sukanesh, R.Harikumar, S.Arun, “Removal of Gaussian Noise from Photo-plethysmograhy (PPG) Signals Using Wavelet Transforms”, Cairo International Biomedical Engineering Conference 2006 CIBEC’06 Conference-Cairo-EGYPT, December2006,pp1-6

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Fuzzy Techniques and Statistical Tests for Epilepsy risk level Classification using EEG Signals”, International Conference ICBME 2005,IFMBE&BES ,Singapore. December 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Performance Analysis Of Fuzzy Aggregation Techniques In Classification Of Epilepsy Risk Levels From EEG Signal Parameters”, International Conference ICBME 2005,IFMBE&BES,Singapore. December 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Fuzzy System Modeling and Analysis for Classification of Epilepsy Risk Level in Diabetic Patients using Cerebral Blood Flow and EEG Signals”, International Conference ICBME 2005,IFMBE&BES Singapore. December 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Fuzzy techniques and neural networks (RBF) for classification of epilepsy risk level from EEG signals”, International Conference ICBME 2005,IFMBE&BES Singapore. December 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Comparison of SIRM Fuzzy Systems in Classification of Epilepsy Risk Levels in Diabetic Patients Using Cerebral Blood Flow and EEG Signals”, International Conference ICBME 2005,IFMBE&BES Singapore. December 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar “ Genetic Algorithm for classification of Epilepsy Risk Levels from EEG Signals”, International Conference IEEE TENCON 2005 Melbourne –Australia. IEEE-Region 10, November 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Fuzzy Techniques and Aggregation Operators for Classification and Optimization of Epilepsy Risk Level from EEG Signals”, International Conference ICMAT-2005 ICMRS-Singapore,July 2005

Dr.(Mrs.).R.Sukanesh, R.Harikumar , “Fuzzy Techniques for Classification of Epilepsy risk level in Diabetic Patients Using Cerebral Blood Flow and Aggregation Operators” ,International Conference ECTICON-2005,IEEE-Thailand May 2005

K.Paramasivam, R.Harikumar,S.V. Mohana sundaram , “VLSI design and simulation of a SIRM fuzzy system for classification of Epilepsy Risk level in Diabetic Patients”, International Conference on Modeling and simulation AMSE LYON – France July 2004

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “Genetic Algorithm Optimization of Fuzzy outputs for classification of Epilepsy Risk Levels from EEG signals”, International Conference IEEE TENCON 2004 ,Chiang Mai, THAILAND, IEEE-Region 10, November 2004,

Dr.(Mrs.).R.Sukanesh, R.Harikumar, “ Aggregation Operators Optimization for Fuzzy Outputs in Classification Of Epilepsy Risk Level From EEG Signals”, International Conference ICHMI-2004,Bangalore India. Touch lab USA. JNNCE Shimoga, Dec 2004

R.Harikumar, Sabarish Narayanan.B “Fuzzy techniques for classification of Epilepsy risk level from EEG signals”, International Conference IEEE TENCON 2003-IISc-Bangalore October 2003

R.Harikumar, Dr.J.Ravichandran, “ Epilepsy detection from EEG signals-A statistical approach”, National Conference ICECON 03-NIT Trichy –December-03

R.Harikumar, Dr. (Mrs.) R. Sukanesh Sabarish Narayanan.B ,“Application of Aggregation operator in Fuzzy logic based classification of Diabetic Epilepsy risk level”, National Conference IEEE India council, ACE 2003, Pune, December 2003

K.Paramasivam, R.Harikumar, R.Sundararajan, “Simulation of VLSI design using Parallel Architecture for epilepsy risk level diagnosis in diabetic neuropathy”. National Conference VDAT-PSG Coimbatore- February 2003

R.Harikumar, B. Sabarish Narayanan, R.Sundararajan , “Fuzzy based risk level analysis of epilepsy in diabetic patients using Cerebral Blood flow and EEG signals”, National Conference VIROHA2K2, VIT Vellore December 2002.

R.Harikumar, S.Selvan, “ Fuzzy based classification of patient state in diabetic neuropathy using cerebral blood flow”, 25th National Systems Conference-2001 PSGCT-Coimbatore, December 2001

R.Harikumar, S.Selvan, “ Fuzzy based diagnosis of epilepsy from EEG signals”, NCSSS-2002 PSGCT –Coimbatore March 2002.

R.Harikumar, S.Selvan, “Fuzzy controller for Insulin pumps in Diabetes”, ICBME –2001 Anna University Chennai January 2001

R.Harikumar, S.Selvan, “Telemedicine to e-Health, Proceedings of Computing 2001”, CSI Chapter Indore, March 2001

R.Harikumar, S.Selvan, “Visually evoked potential as a diagnostic tool”, NCBME 98, MIT, Manipal, April 1998

R.Harikumar, S.Selvan, “ Monitoring in Diabetes Mellitus” ,NCBME 98, MIT Manipal, April 1998

R.Harikumar, S.Selvan , “Fetal Heart rate Monitor using Abdominal Fetal ECG”, BECON 97, Model Engg. College, Cochin September 1997

R.Harikumar, S.Selvan, “Analysis of Cerebral Blood flow in diabetes neuropathy using Impedance method”, NCBME 97, Anna University, Chennai, March 1997

R.Harikumar, S.Selvan, “Early Detection of cancer using Impedance and temperature measurements”, INCOMBME 96, CIT- Coimbatore December 1996

R.Harikumar, S.Selvan, “ Diagnosis of Diabetes using Photo Glucometer”, INCOMBME 96, CIT- Coimbatore December 1996.

S No.	Title	Investigator(s)	Funding Agency	Amount	Project Status	Sanction Date
1	Third Ieee International Conference On Smart Technologies, Communication And Robotics	Dr.Harikumar R	Council of Scientific & Industrial Research	Rs.25000	Completed	28.11.2023
2	Development of ASIC Fuzzy Processor for Diabetic Epilepsy Risk level Classifications	Dr.A.Shanmugam	AICTE , New Delhi (RPS)	Rs.8.23 lakhs	Completed
3	A Detailed study on Epilepsy Risk Level Classification from EEG signals using Wavelet Neural Networks	Dr.R.Harikumar	DRDO New Delhi (ER	Rs.3.79 Lakhs	completed	13.03.2010
4	FPGA Implementation of Wavelet Networks for Epilepsy Risk level Classification.	Dr.R.Harikumar	AICTE New Delhi (RPS)	5.10 Lakhs	completed	10.12.2010
5	Non-Invasive Photo Plethysmographic Based Glucometer For Mass Screening Of Diabetes	Dr.R.Harikumar	ICMR New Delhi (Adhoc Project)	9.82 lakhs		05.07.2012

S.No.	Name of the Scholar	Register Number	Date of Reg.	Title of the Ph.D Thesis / Tentative title of the Research	Status
1	Vijayakumar T	71030521041	Jan-2010	Investigation on Performance Analysis of Non Linear Models, PSO and Neural Networks for Classification of Epilepsy Risk Levels from Wavelet Based Extracted Features of EEG Signals	Completed on 29.05.2015
2	Balasubramani M	11110531010	Jan-2011	Investigation on Performance Analysis of Hybrid Classifiers (HMM, Neural Networks, Extreme Learning Machines)	Completed on 24.10.2014
3	Vinoth Kumar B	11230431063	Jan-2011	Investigation on Segmentation Techniques, LPG-PCA Based Denoising and Deblurring Methods and Performance Analysis of Classifiers for Classification of Abnormal Regions in Medical Images	Completed on 09.06.2015
4	Shivappriya S N	11110532037	Jan-2011	Certain Investigation on Performance Analysis of Statistical and Evolutionary Feature Selection with Neural Network for Classification of Cardiac Arrhythmia, from Wavelet Based Extracted Features of ECG Signals	Completed on 03.07.2015
5	Kowsalya P K	1223469878	Jul-2012	Certain Investigation on the Performance Analysis of QoS in Wireless Sensor Network Applied for Structural Health Monitoring	Completed on 02.01.2017
6	Karthick G	1414469103	Jul-2014	Investigation on Performance Analysis of Support Vector Machine and Extreme Learning Machines as Classifier for Classification of Abnormal Regions in Medical Images	Completed on 26.12.2017
7	Kavinmullai K	1424369183	Jul-2014	Investigations on Optimization Algorithms for the Application of Wind and Hybrid Renewable Energy Systems	Completed on 14.10.2022
8	Sunil Kumar P	1514469232	Jul-2015	Investigations on Dimensionality Reduction Techniques and Certain Post Classifiers for Epilepsy Risk Level Classification from EEG Signals with Telemedicine Application	Completed on 27.12.2017
9	Nirmalakumari K	1524469366	Jul-2015	Investigation on Performance Analysis of Multiple Classifiers for Classification of Colon Cancer and SRBCT from Microarray Genes	Completed on 16.11.2021
10	Poornimasre J	1524469560	Jul-2015	Investigations on Performance Analysis of Machine Learning Algorithms in Low Power Testing for Test Vectors Compaction	Completed on 27.01.2023
11	Jennifer S Raj	11100532016	Jan-2016	Investigation on Localized Connectivity Architectures for Improved Quality of Service in Wireless Personal Networks	Completed on 22.08.2014
12	Gowthami S	1624469103	Jul-2016	Investigations on Performance Analysis of Classifiers with Deep Learning Features for Classification of Melanoma from Dermoscopy Images	Completed on 27.07.2022
13	Sannasi Chakravarthy S R	17144691238	Dec-2017	Investigation on Performance Analysis of Non Linear, Nature Inspired and Hybrid Classifiers for Classification of Benign and Malignant Cancerous Regions from Mammogram Images with Wavelet and GLCM Features	Completed on 28.09.2020
14	Bharanidharan N	17144691238	Dec-2017	Investigation on Performance Enhancement Methods for Swarm Intelligence Algorithms in Transformation Technique Based Classification of Dementia from MRI Images	Completed on 11.11.2020
15	Preethi D	17244691492	Dec-2017	Investigations on Performance Analysis of Noise Classification Techniques with FIR Filtering in Fetal Electrocardiogram and Transceiver Using VLSI Implementation	Completed on 18.03.2021
16	Sivamani P	18244697137	Jul-2018	Analysis of PPG Signals with Respect to SVD, Hurst Exponent, Euclidean Distance, K-Means Clustering and Soft Computing Techniques	Completed on 15.11.2024
17	Kalaiyarasi M	18244691481	Dec-2018	Investigation of Swarm Intelligence Techniques for Classifiers Performance Enhancement in Detection of Ovarian Cancer from Microarray Gene Data	Completed on 11.08.2023
18	Prabu R	71110531018	Dec-2018	Investigation on Performance Analysis of SVM ELM KNN Classifiers for Detection of Abnormal Region from Electrical Impedance Tomography Images	Completed on 17.09.2018
19	Manjurathi B	71110532018	Dec-2018	Investigations on Performance Analysis of Test Power Reduction and Test Data Compression for Digital Integrated Circuits	Completed on 18.09.2017
20	Dinesh C	19143691152	Jan-2019	Performance Analysis of Soft Computing Techniques for Insulin Pump in Diabetes	Completed on 14.02.2025
21	Karthikamani R	20243691111	Dec-2020	Investigations on Performance Improvement of Multiple Classifiers in Detection of Liver Cirrhosis from Ultrasonic Images	Completed on 22.03.2024
22	Karthika M S	21254697106	Jul-2021	Trust Management Blockchain with IoT Supported Health Monitoring System	Confirmation Completed
23	Karthikeyan S	22144691294	Jan-2022	Performance Analysis of Heuristics Classifiers for Lung Cancer Detection from CT Images	Confirmation Completed
24	Ezhil R	24234697255	Jul-2024	Decoding Brain Tumor: Integrating Microarray Technology and Advanced Classification Strategies with Machine Learning	Confirmation Completed
25	Lokeswari P	25244691339	Jan-2025	Enhancing Lung Cancer Detection and Classification through Ensemble Approach Using Deep Learning Classifiers	Registration Completed

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	A DEVICE FOR DETECTION OF EPILEPSY RISKS THROUGH A TWO STAGE FUZZY SOFT DECISION TREE CLASSIFIERS FROM EEG SIGNALS	03.01.2024	202141040899	Granted	National	Self
2	A METHOD FOR MEASUREMENT OF ENVIRONMENTAL PARAMETERS USING IOT SENSOR FOR MEDICAL APPLICATIONS	02.01.2024	201941020095	Granted	National	Self
3	A DEVICE TO DETECT VENTRICULAR TACHYCARDIA FOR BIOMEDICAL APPLICATIONS	31.10.2023	202041033286	Granted	National	Self
4	A SENSOR FOR STRESS MEASUREMENT USING PHOTO PLETHYSMOGRAPHY	15.09.2023	201941011709	Granted	National	Self
5	A PORTABLE DEVICE FOR LEADLESS HEART RATE MONITORING AND DETECTION OF DIFFERENT ARRHYTHMIAS THROUGH A COMPUTATIONAL INTELLIGENCE TECHNIQUES.	05.09.2023	202341059556	Filed	National	Self
6	CONTROLLER FOR INSULIN PUMP IN CHRONIC DIABETIC PATIENT	26.09.2023	202341064510	Filed	National	Self
7	FUZZY LOGIC BASED SIMPLE TRAFFIC CONTROLLER USING FPGA-AN ARCHITECTURAL DESIGN SOLUTION	23.01.2023	202341004408	Filed	National	Self
8	ESTIMATION OF DROWSINESS FROM EEG SIGNALS - A PERSPECTIVE APPROACH	28.12.2022	202241076189	Filed	National	Self
9	APNEA MONITORING SYSTEM	03.11.2022	202241062736	Filed	National	Self
10	A SYSTEM FOR ELECTROGASTROGRAM IN DETECTION OF GASTRIC DISORDERS AND A METHOD THEREOF	09.09.2022	2022/10067	Published	International	Self
11	THIRUKURAL VERBALIZING PLAYTHING	26.08.2022	202241048757	Filed	National	Self
12	DESIGN AND DEVELOPMENT OF AUTOMATIC QUALITY DOMESTIC WATER DISTRIBUTION AND WASTAGE REDUCTION MANAGE	09.06.2022	202241050778	Filed	National	Self
13	AN EFFECTIVE METHOD TO IDENTIFY LEUKEMIA BY USING DEEP LEARNING TECHNIQUES FROM CLINICAL BLOOD CELL IMAGES	13.05.2022	202241024192	Published	National	Self
14	LOW COST SCREENING OF GLAUCOMA THROUGH EOG SIGNALS	17.04.2025	202241061849	Granted	National	Self
15	AUTOMATIC INTRAVENOUS INFUSION MONITORING SYSTEM	11.08.2021	202141036250	Filed	National	Self
16	INFLATION OF AIRBAGS IN CAR DEPENDING UPON THE AGE OF THE PASSENGER USING AI	11.08.2021	202141036251	Filed	National	Self
17	SMART HEALTHCARE ASSISTANCE	11.03.2021	202141050449	Published	National	Self
18	SMART BMI MONITORING DEVICE	11.03.2021	202141050451	Published	National	Self
19	TEMPERATURE SENSITIVE/PROGRAMMABLE STICKERS FOR MEDICINES AND OTHER TEMPERATURE SENSITIVE PRODUCTS	05.04.2021	202141015905	In Progress	National	Indian Patents
20	MICROSTRIP ULTRA WIDE BAND BUTTERWORTH LOW PASS FILTER FOR BIOMEDICAL APPLICATIONS	05.04.2021	202141015953	In Progress	National	Indian Patents
21	BODY MASS INDEX BASED HEALTH DRINK VENDING MACHINE USING PROGRAMMABLE LOGIC CONTROLLERS	29.04.2021	202141019594	In Progress	National	Indian Patents
22	A Device to Detect Ventricular Tachycardia for Biomedical Applications	14.08.2020	202041033286	Published	National	Self
23	A DEVICE FOR SLEEP STAGE MONITORING WITH EEG FEATURE EXTRACTION USING IOT	27.05.2020	46212	Granted	National Level	Self
24	A DEVICE TO DETECT VENTRICULAR TACHYCARDIA FOR BIOMEDICAL APPLICATIONS	28.07.2020	202041033286 A	In Progress	National	Self
25	A DEVICE TO DETECT ORAL CANCER USING PHOTOPLETHYSMOGRAPHY AND TEMPERATURE MEASUREMENT	21.09.2020	202041040775	In Progress	National	Self
26	A METHOD FOR ENHANCEMENT OF FEATURES IN X-RAY IMAGES USING BAYESIAN CONCEPTS FOR SMART FRACTURE DETECTION	28.08.2019		In Progress	National	Management
27	A DEVICE FOR PERIPHERAL BLOOD FLOW MEASUREMENT USING IMPEDANCE PLETHYSMOGRAPHIC METHOD	14.11.2019	201941046382	In Progress	National	Self
28	A Sensor for Stress Measurement Using Photoplethysmography	17.05.2019	201941011709	Published	National	Self

S No.	Topic	Program	Venue	Date
1	Webinar On Recent Trends In Pure And Applied Mathematics	Investigation On Performance Analysis Of Multiple Classifiers For Classification Of Colon Cancer And SRBCT From Microarray Genes	Gandhigram Rural Institute Deemed To Be University	27.07.2022
2	Soft Computing Techniques	AICTE Sponsored FDP	BIT	13.06.2019
3	Medical Image Processing, Wavelet transform applications with respect to image on Biomedical signal processing	FDP	MVJCE Bangalore	24.01.2019
4	Classifiers for Epilepsy Detection	International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2018)	RVS Technical Campus Coimbatore	29.11.2018
5	Mammographic Image Processing and EEG Signal Processing	International Workshop on Mathematical Modeling and Soft Computing	The Gandhigram Rural Institute	26.04.2018
6	Recent developments in Mental Health Care Index in India	IEEE2nd International Conference on Computing Methodologies and Communication (ICCMC 2018)	Surya Engineering College, Erode, India	15.02.2018
7	Recent developments in Photoplethysmography (PPG) Signal processing for Effective diagnosis of Cardiac and Respiratory disorders in Humans	2nd IEEE International Conference on Communication and Electronics Systems	Coimbatore	20.10.2017
8	Engineering Perspectives and Pro-diagnosis for Epilepsy Health Care	2nd IEEE International Conference on Inventive Computation Technologies (ICICT)	Coimbatore	24.08.2017
9	Innovations in Engineering and Technology for a Better Healthcare	IEEE International Conference on Computing Methodologies and Communication (ICCMC 2017)	Surya Engineering College Erode	19.07.2017
10	on Advances in Bio signal and Image Processing for Better Healthcare and chaired a session	IEEE International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017)	RVS Technical Campus Coimbatore	20.04.2017
11	Non Linear Analysis and Soft Computing Techniques in EEG signals Processing for epilepsy detection	on Computational Intelligence in biological Signal and Image Processing	KPR Institute of Engineering and Technology Coimbatore	20.08.2015
12	Soft Computing Techniques for Classification of Epilepsy risk levels from EEG signals Processing	on Soft Computing Techniques for Engineering Research and its Applications	Sri Ramakrishna Engineering college Coimbatore	15.06.2015
13	VLSI for Bio medical Engineering	AICTE Sponsored one week Short term course on Emerging Trends in VLSI for Communication	Pondicherry Engineering College, Puducherry	05.03.2015
14	Analysis of Non linear models for Medical image Segmentation	AICTE Sponsored Two week FDP on Recent advances and Future Scope of research in Image Processing	Sona college of Technology	11.07.2013

S No.	Title	Author	Publication	Year / Month
1	Classification of Intra-cardiac Masses in Echocardiograms	Nirmala Kumari.K, Dr.R.Harikumar, Dr.C.Ganesh Babu	LAP LAMBERT Academic Publishing	2020
2	IoT based Theft Detection using Raspberry Pi	Deepa R, Dr.R.Harikumar, Dr.C.Ganesh Babu	LAP LAMBERT Academic Publishing	2020
3	Book Chapter in Springer Lecture Notes on Computational Vision and Biomechanics		Springer	2019
4	EAI/Springer Innovations in Communication and Computing		Springer	2019
5	Lecture Notes in Springer Advances in Intelligent Systems and Computing		Springer	2019
6	Book Chapter in IFBME Proceedings (Springer)		Springer	2019
7	Efficient Gridding and Segmentation for Microarray Images		Lap Lambert Academic Publishing	2019
8	Vehicle Monitoring Using IoT		Lap Lambert Academic Publishing	2019
9	Spatial FCM for Leaf Image Segmentation in Pest Detection		Lap Lambert Academic Publishing	2019
10	EEG Signal Classification Using Hidden Markov Model	Vigneshkumar. A. Harikumar. R, Ganesh babu.C	Lap Lambart Gmbh, Germany	2018

S.No.	Awards
1	IEEE Region 10 Ethics Champion Award 2023, IEEE Industrial Electronic Society (IEEE_IES), IEEE USA REGION 10,05.08.2023
2	IETE RS Khandpur Award 2022 for Outstanding Contribution And Achievement in the Field Of Medical Instrumentation, Institution Of Electronics And Telecommunication Engineers Sep - 2022
3	Network For Canadian Oral Health Research-Evaluator, Canadian Oral Health Research Jan - 2022
4	Primary Evaluator, AICTE Dec - 2022
5	Awarded Best Scientist by Indian Academic Researchers Association (IARA) at Annual Research Meeting 2017, held on 22nd April 2017 ,Trichy
6	Awarded the Dr. APJ Abdul Kalam Awards for Teaching Excellence 2017, Marina Labs, October 21, 2017, Chennai.
7	Awarded the IEEE Achievers Award-2017, IEEE Madras Section, October 28, 2017, Chennai
8	Awarded Distinguished Scientist in Bio Signal Processing by Venus International Foundation at Annual Research Meeting 2016, 3rd December 2016 Chennai.
9	Performance Analysis Support Vector Machine (SVM) as post classifier for Epilepsy Risk Level classifications from Fuzzy based EEG signal parameters. Second Prize at VI Mantra 2008, National level Prize amount $2500
10	IEEE, Students Enterprise Award ($1150) for the year 2007-2008 project work FPGA Model of Fuzzy (PD) controller for Insulin pumps in Diabetes
11	Certificate of Merit 2009 from I.E (India) for the paper entitled A Comprehensive Analysis on Post processing Mathematical Models (MRE, Aggregation Operators and Soft decision Trees) for Patient Specific Fuzzy Based Epilepsy Risk Level Classifier from EEG Signals.
12	The Institution Prize - 2009 from I.E (India) for the paper entitled, FPGA Synthesis of Heterogeneous and SIRM Fuzzy System for classification of Diabetic Epilepsy Risk levels
13	Certificate of Merit 2008 from I.E (India) for the paper entitled Performance Analysis of Different Fuzzy Techniques in Classification of Epilepsy Risk Level for Diabetic Patients using Cerebral Blood Flow, Aggregation Operators and EEG Signals.
14	Certificate of Merit 2007 from I.E (India) for the paper entitled A Simple Recurrent Supervised Learning Neural Network for Classification of Epilepsy Risk Levels from EEG Signals.
15	Certificate of Merit 2007 from I.E (India) for the paper entitled Analysis of SIRM Fuzzy Systems in Classification of Epilepsy Risk levels for Diabetic Neuropathy Patients using Cerebral Blood Flow and EEG Signals.
16	The President of India Prize (English) - 2006 from I.E (India) for the paper entitled, Genetic Algorithm optimization of fuzzy outputs for classification of epilepsy risk levels from EEG Signals
17	The Jawaharlal Memorial Prize-2006 from I.E (India) for the paper entitled, Genetic Algorithm optimization of fuzzy outputs for classification of epilepsy risk levels from EEG Signals

S.No.	Membership Number	Membership Body	Year	Duration
1	1158467	The Institution of Electronics and Telecommunication Engineers	-	Life Time
2	30760	Indian Society for Technical Education	-	Life Time