Dr Sannasi Chakravarthy S R - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	02.05.2014
Engineering	SKP Engineering College Tiruvannamalai	20.06.2012	22.04.2014	1 Year & 10 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E	ECE	PT Lee CNCET	Anna University, Guindy, Chennai	2010
M.E	Applied Electronics	Thanthai Periyar Govt institute of Technology	Anna University, Guindy, Chennai	2012
Ph.D	Information and Communication Engineering	Bannari Amman Institute of Technology	Anna University, Chennai	2020

S.No.	Subject Area
1	Medical Image Processing
2	Machine Learning, Deep Learning

Anandan P, Sannasi Chakravarthy S R , “Advanced Cancer Classification Using CNN-Transformer Integration on High-Resolution Histopathological Images”, ” 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)”, 2024, Pages. 257-263, doi: 10.1109/ICUIS64676.2024.10866295.

Sannasi Chakravarthy, Bharanidharan Nagarajan, Surbhi Bhatia Khan, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Ahlam Al Musharraf, Khursheed Aurungzeb, “Spatial Attention Integrated Efficientnet Architecture for Breast Cancer Classification With Explainable AI”, Computers, Materials and Continua, Volume 80, Issue 3, 2024, Pages 5029-5045, ISSN 1546-2218, https://doi.org/10.32604/cmc.2024.052531.

S R Sannasi Chakravarthy, N Bharanidharan, C Vinothini, Venkatesan Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi, “Adaptive Mish Activation and Ranger Optimizer-Based Sea-Resnet50 Model with Explainable AI for Multiclass Classification of Covid-19 Chest X-Ray Images. Bmc Med Imaging 24, 206 (2024). Https://Doi.Org/10.1186/S12880-024-01394-2

Sannasi Chakravarthy N Bharanidharan, Surbhi Bhatia Khan, V Vinoth Kumar T R Mahesh, Ahlam Almusharraf, “Multi‑Class Breast Cancer Classification Using CNN Features Hybridization”, Doi.Org/10.1007/S44196-024-00593-7.

Sannasi Chakravarthy S R, N Bharanidharan, V Vinoth Kumar, T R Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Alba, “Intelligent Recognition of Multimodal Human Activities for Personal Healthcare,” in IEEE Access, Vol. 12, Pages. 79776-79786, 2024, Doi: 10.1109/Access.2024.3405471.

Sannasi Chakravarthy S.R, Bharanidharan N, Rajaguru H, “Processing of Digital Mammogram Images Using Optimized Elm With Deep Transfer Learning for Breast Cancer Diagnosis”, Multimedia Tools and Applications, Article in Press, 2023

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

Sannasi Chakravarthy S.R, Rajaguru H, “Deep Learning-Based Breast Cancer Detection Using Vgg-Nin Architecture”, AIP Conference Proceedings, Vol.No.2725, Issue 1, 2023

Bharanidharan Nagarajan, Sannasi Chakravarthy S R, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Surbhi Bhatia Khan, Shakila Basheer, Eid Albalawi, “A Deep Learning Framework With an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma”, Diagnostics 2023, 13, 3461. Https://Doi.Org/10.3390/Diagnostics13223461.

Sannasi Chakravarthy S.R, Rajaguru H, “SKMAT-U-Net Architecture for Breast Mass Segmentation”, International Journal of Imaging Systems and Technology, Vol.No.32, Issue 6, 2022

Sannasi Chakravarthy S.R, Rajaguru H, “Automatic Detection and Classification of Mammograms Using Improved Extreme Learning Machine With Deep Learning”, IRBM, Vol.No.43, Issue 1, 2022

Sannasi Chakravarthy S.R, Rajaguru H, Chidambaram S, “Processing of Wisconsin Breast Cancer Data Using Ebola Optimization Algorithm With Mixture Kernel SVM”, Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, Stcr 2022, Pages. 1-4, 2022

Rajaguru H, Sannasi Chakravarthy S.R, Chidambaram S, Gaussian, “Mixture Model Based Hybrid Machine Learning for Lung Cancer Classification Using Symptoms”, Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, Stcr 2022, Pages. 1-4, 2022

Sannasi Chakravarthy S.R, Bharanidharan N, Rajaguru H, “A Systematic Review on Machine Learning Algorithms Used for Forecasting Lake-Water Level Fluctuations”, Concurrency and Computation: Practice and Experience, Vol.No.34, Issue 24, 2022

Sannasi Chakravarthy S.R, Rajaguru H, “Performance Analysis of Ensemble Classifiers and A Two-Level Classifier in the Classification of Severity in Digital Mammograms”, Soft Computing, Vol.No.26, Issue 22, Pp 12741–12760, 2022

Sannasi Chakravarthy S R, N Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar R, T R Mahesh, Krishnamoorthy Venkatesan, “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.

Sannasi Chakravarthy S R, Harikumar R, “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.

Sannasi Chakravarthy S.R, Bharanidharan N, Rajaguru H, “Fusion of Deep Features for Classification of Breast Cancer Using Multi-Deep CNNs”, IFMBE Proceedings, Vol.No.86, 2022

Bharanidharan N, Sannasi Chakravarthy S.R, Rajaguru H, “Improved Bald Eagle Search Optimization for Enhancing the Performance of Supervised Classifiers in Dementia Diagnosis”, IFMBE Proceedings, Vol.No.86, 2022

Sannasi Chakravarthy S.R, Bharanidharan N, Rajaguru H, “Multi-Deep CNN Based Experimentations for Early Diagnosis of Breast Cancer”, Iete Journal of Research, Article in Press, 2022

Bharanidharan N, Sannasi Chakravarthy S R, Harikumar R, (2022). “Modified Crow Search Algorithm for Enhancing the Classification Performance in Diagnosing Dementia Through Mri Images”, In: Gandhi, T.K, Konar, D, Sen, B, Sharma, K. (Eds) Advanced Computational Paradigms and Hybrid Intelligent Computing . Advances in Intelligent Systems and Computing, Vol 1373. Springer, Singapore. Https://Doi.Org/10.1007/978-981-16-4369-9_44

Rajaguru H, Sannasi Chakravarthy S.R, “Performance Comparison of Machine Learning Algorithms in Identifying Dry and Wet Spells of Indian Monsoon”, Lecture Notes in Networks and Systems, Vol.No.336, 2022

Sannasi Chakravarthy S.R, Rajaguru H, “Ensemble-Based Weighted Voting Approach for the Early Diagnosis of Diabetes Mellitus”, Lecture Notes on Data Engineering and Communications Technologies, Vol.No.93, 2022

Sannasi Chakravarthy S.R, Rajaguru H, “Voting Based Cad Model for Breast Cancer Classification”, IFMBE Proceedings, Vol.No.88, 2022

Sannasi Chakravarthy S.R, Rajaguru H, “Deep-Features With Bayesian Optimized Classifiers for the Breast Cancer Diagnosis”, International Journal of Imaging Systems and Technology, Vol.No.31, Issue 4, 2021

Sannasi Chakravarthy S.R, Rajaguru H, A “Systematic Review on Screening, Examining and Classification of Breast Cancer”, Proceedings – 1st International Conference on Smart Technologies Communication and Robotics, Stcr 2021, Pages. 1-4, 2021

Rajaguru H, Sannasi Chakravarthy S.R, “Transformation Based Diabetes Classification Using Crow-Search Optimization Algorithm”, Proceedings – 1st International Conference on Smart Technologies Communication and Robotics, Stcr 2021, Pages. 1-4, 2021

Sannasi Chakravarthy S.R, Rajaguru H, “An Effective Hybrid Classifier for Breast Tumor Classification”, ARPN Journal of Engineering and Applied Sciences, Vol.No.16, Issue 13, 2021

Sannasi Chakravarthy S.R, Rajaguru H, “A Novel Improved Crow-Search Algorithm to Classify the Severity in Digital Mammograms”, International Journal of Imaging Systems and Technology, Vol.No.31, Issue 2, 2021

Sannasi Chakravarthy S.R, Rajaguru H, “Deep Features With Improved Extreme Learning Machine for Breast Cancer Classification”, 2021 8th International Conference on Soft Computing and Machine Intelligence, Iscmi 2021, Pages. 237-241, 2021

Sannasi Chakravarthy S.R, Rajaguru H, “A Comparison of Detrend Fluctuation Analysis, Gaussian Mixture Model and Artificial Neural Network Performance in the Detection of Microcalcification From Digital Mammograms”, International Journal of Biomedical Engineering and Technology, Vol.No.37, Issue 1, 2021

Sannasi Chakravarthy S.R, Rajaguru H, “Detection and Classification of Microcalcification From Digital Mammograms With Firefly Algorithm, Extreme Learning Machine and Non-Linear Regression Models: A Comparison”, International Journal of Imaging Systems and Technology, Vol.No.30, Issue 1, 2020

Sannasi Chakravarthy S.R, Rajaguru H, “Image De-Noising Method Using Median Type Filter, Fuzzy Logic and Genetic Algorithm”, Advances in Intelligent Systems and Computing, ICCVBIC 2019, Vol.No.1108, 2020

Rajaguru H, Sannasi Chakravarthy S.R, “Effiient Denoising Framework for Mammogram Images With A New Impulse Detector and Non-Local Means”, Asian Pacific Journal of Cancer Prevention, Vol.No.21, Issue 1, 2020

Sannasi Chakravarthy S.R, Rajaguru H, “Impulse Noise Removal in Mammograms Using Bi-Dimensional Empirical Mode Decomposition and Fast Adaptive Bilateral Filter”, International Journal of Recent Technology and Engineering, Vol.No.8, Issue 2, 2019

Sannasi Chakravarthy S.R, Rajaguru H, “A Novel Noise Removal in Digital Mammograms Based on Statistical Algorithms”, Proceedings of the 2019 International Conference on Advances in Computing and Communication Engineering, Icacce 2019, Pages. 1-4 , 2019

Rajaguru H, 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.No.20, Issue 12, 2019

Sannasi Chakravarthy S.R, Rajaguru H, “Lung Cancer Detection Using Probabilistic Neural Network With Modified Crow-Search Algorithm”, Asian Pacific Journal of Cancer Prevention, Vol.No.20, Issue 7, 2019

Abirami C, Harikumar R, Sannasi Chakravarthy S.R, “Performance Analysis and Detection of Micro Calcification in Digital Mammograms Using Wavelet Features”, Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, Wispnet 2016, Pages. 2327-2331, 2016

SANNASI CHAKRAVARTHY S R, N BHARANIDHARAN, V VINOTH KUMAR, T R MAHESH, MOHAMMED ALQAHTANI and SURESH GULUWADI, “DEEP TRANSFER LEARNING WITH FUZZY ENSEMBLE APPROACH FOR THE EARLY DETECTION OF BREAST CANCER”, Vol.No.21, Issue No.6, 45383, DOI: 10.1186/s12880-024-01267-8

SANNASI CHAKRAVARTHY S R, N. BHARANIDHARAN VINOTH KUMAR VENKATESAN T. R. MAHESH E. MOHAN, “LOCAL ENTROPY BASED REMORA OPTIMIZATION AND SPARSE AUTOENCODERS FOR CANCER DIAGNOSIS THROUGH MICROARRAY GENE EXPRESSION ANALYSIS”, Vol.No., Issue No., 45352, DOI: 10.1109/ACCESS.2024.3371887

Sannasi Chakravarthy S R, Harikumar R and Sundaresan Chidambaram , “CLASSIFICATION OF WISCONSIN BREAST CANCER DATA WITH EXTREME LEARNING MACHINE AND OSPREY OPTIMIZATION ALGORITHM”, Vol.No.1, Issue No.1, 45293, DOI: 10.1109/STCR55312.2022.10009386

SANNASI CHAKRAVARTHY S R, BHARANIDHARAN NAGARAJAN, V VINOTH KUMAR, T R MAHESH and R SIVAKAMI, “BREAST TUMOR CLASSIFICATION WITH ENHANCED TRANSFER LEARNING FEATURES AND SELECTION USING CHAOTIC MAP-BASED OPTIMIZATION”, Vol.No.41, Issue No.1, 45323

Sannasi Chakravarthy S.R., Rajaguru H., Chidambaram S., Processing of Wisconsin Breast Cancer Data using Ebola Optimization Algorithm with Mixture Kernel SVM, Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, STCR 2022, pp. 1-4, BIT, 2022

Sannasi Chakravarthy S R, Harikumar R, “Deep Learning-Based Breast Cancer Detection Using VGG-Nin Architecture”, International Conference on “Second International Conference on Circuits, Signals, Systems and Securities (ICCSSS – 2022)”, BIT, 2022.

Sannasi Chakravarthy S R, “Currency Note Detection for Blind People using UV Light and Micro-Controller With Theft Alert”, International Conference on “ Energy Power Integrated Circuits and Systems 2021”, BIT, 2021.

Sannasi Chakravarthy S R, Harikumar R, “Effective Breast tumour Classification using K- Strongest Strength With Local Outlier Factor Algorithm”, Second International Conference on “New Age Systems and Automation Technologies”, BIT, 2021.

Sannasi Chakravarthy S R, Harikumar R, , “Systematic Review on Screening, Examining and Classification of Breast Cancer”, International Conference on “Smart Technologies, Communication & Robotics”, BIT, 2021.

Sannasi Chakravarthy S R, Harikumar R “Ensemble Based Weighted Voting Approach for the Early Diagnosis of Diabetes Mellitus”, International Conference on ” Sustainable Communication Networks and Application”, Surya Engineering College, Villupuram, 2021

Sannasi Chakravarthy S 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, , , December 2020

Sannasi Chakravarthy S R, “Voting Based CAD Model for Breast Cancer Classification”, 7th International Conference on Advancements of Medicine and Health Care through Technology, , Cluj-Napoca, Romania, October 2020

Sannasi Chakravarthy S R, “IoT Controlled Devices using Google Assistance”, First International Conference on New Age Systems and Automation Technologies – ICNAAT 2020, , BIT, October 2020

Sannasi Chakravarthy S R, Kishore V, “Prediction of Heart Disease using Decision Tree and Random Forest Algorithm”, National Conference on Technical Advancements in Computers and Communication, Adhiparasakthi Engineering College, Melmaruvathur, March 2020

Sannasi Chakravarthy S R, Harikumar Rajaguru, “Image denoising method using median type filter fuzzy logic and genetic algorithm”, ICCVBIC 2019, RVS Technical Campus, Coimbatore, September 2019

Sannasi Chakravarthy S R, Dr. Bharanidharan N,“Fusion of Deep Features for Classification of Breast Cancer using Multi-Deep CNNS”, 6th Kuala Lumpur International Conference on “ Biomedical Engineering 2021”, The Department of Biomedical Engineering and University of Malaya, Malaysia, 2021.

Sannasi Chakravarthy S R, “AR Business Card”, 3rd National Conference on Technologies for Green Mobility – 2019, , BIT, March 2019

Sannasi Chakravarthy S R, “Efficient Denoising Framework for Mammogram Images with a New Impulse Detector and Non-Local Means”, ISMAC-CVB 2019, , , March 2019

Sannasi Chakravarthy S R, “Analysis of Decision Tree and KNN Algorithm in the Classification of Breast Cancer”, ISMAC_CVB 2019, , , March 2019

S R Sannasi Chakravarthy, “DETECTION OF MICROCALCIFICATION IN MAMMOGRAM USING CONVOLUTIONAL NEURAL NETWORKS”, Recent Trends in Ubiquitous Computing , Bannari Amman Institute of Technology, Sathyamangalam, December 2017

S R Sannasi Chakravarthy, “Automatic Microcalcification Detection in Digital Mammogram”, AICTE Sponsered National Conference on Research Issues in Signal , Sri Ramakrishna Engineering College, Coimbatore, November 2017

S R Sannasi Chakravarthy, “Detection and Identification of Breast Masses Using Mammogram”, AICTE Sponsered National Conference on Research Issues in Signal , Sri Ramakrishna Engineering College, Coimbatore, November 2017

S R Sannasi Chakravarthy, “A Novel Approach for Automatic Microcalcification Detection”, Innovation in Science, Technology and Management towards Suscetainabilty, PSR Engineering College, Sivakasi, November 2017

S R Sannasi Chakravarthy, “Performance analysis and detection of micro calcification in digital mammograms using wavelet features”, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), SSN College of Engineering, Chennai, March 2016

S R Sannasi Chakravarthy, “ANN for the detection of microcalcification in mammograms”, International Conference on Communication and Security, Pondicherry Engineering College, Pondicherry, March 2016

S R Sannasi Chakravarthy, “Mean Shift Segmentation for Color Images”, II National Conference on Research Trends in Electronics , St.Joseph College of Engineering, Chennai, March 2014

S R Sannasi Chakravarthy, “Image Compression Using Curvelet Transform for Medical Images”, VI NCSSS 2014, Bannari Amman Institute of Technology, Sathyamangalam, February 2014

S R Sannasi Chakravarthy, “Color Enhancement of Noisy Images in Compressed DCT Domain”, NCMOC, ACCET, Karaikudi, April 2012

S.No	Reg. No.	Reg. Date	Name of the Scholar	Title of the Ph.D Thesis / Tentative title of the Research	Status
1	24234691267	20.12.2023	Karthika S	Certain Examinations on Knee Osteoarthritis with Severity Grading using Explainable Artificial Intelligence	Course Work
2	24144691120	20.12.2023	Anandan P	Analysis of Abnormal Regions in Cancer Images Using U-NET Based Deep Learning Approaches	Course Work

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	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	CONTROLLER FOR INSULIN PUMP IN CHRONIC DIABETIC PATIENT	26.09.2023	202341064510	Filed	National	Self
6	A SYSTEM FOR ELECTROGASTROGRAM IN DETECTION OF GASTRIC DISORDERS AND A METHOD THEREOF	09 Sep 2022	2022/10067	Published	National	Self
7	A SENSOR FOR STRESS MEASUREMENT USING PHOTOPLETHYSMOGRAPHY (PPG)	17.05.2019	201941011709	Published	National	Management
8	A METHOD FOR THE MEASUREMENT OF ENVIRONMENTAL PARAMETER USING IOT SENSOR FOR MEDICAL APPLICATIONS	21.05.2019		In Progress	State	Management
9	A METHOD FOR ENHANCEMENT OF FEATURES IN X-RAY IMAGES USING BAYESIAN CONCEPTS FOR SMART FRACTURE DETECTION	28.08.2019		In Progress	National	Management
10	A DEVICE FOR PERIPHERAL BLOOD FLOW MEASUREMENT USING IMPEDANCE PLETHYSMOGRAPHIC METHOD	14.11.2019	201941046382	In Progress	National	NIL
11	A DEVICE FOR SLEEP STAGE MONITORING WITH EEG FEATURE EXTRACTION USING IOT	27.05.2020	46212	Granted	National
12	A DEVICE TO DETECT VENTRICULAR TACHYCARDIA FOR BIOMEDICAL APPLICATIONS	14.08.2020	202041033286	Published	National	Self
13	A DEVICE TO DETECT ORAL CANCER USING PHOTOPLETHYSMOGRAPHY AND TEMPERATURE MEASUREMENT	21.09.2020	202041040775	In Progress	National