Prof. Soundariya R S - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	12.06.2017
Industry	Cognizant Technology Solutions India Private Ltd	28.10.2014	06.02.2015	0 Year(s) & 3 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.Tech.	INFORMATION TECHNOLOGY	HINDUSTHAN INSTITUTE OF TECHNOLOGY	Anna University, Chennai	2014
M.E.	COMPUTER SCIENCE AND ENGINEERING	COIMBATORE INSTITUTE OF TECHNOLOGY	Anna University, Chennai	2017

S No.	Subject Area
1	Machine Learning
2	Computational Intelligence
4	Data Analytics
5	Human Computer Interaction
6	Virtual Reality

A. Nivethetha, R.S. Soundariya, D. Jagadeeswaran, “A Comparative Study of the Performance of High-level Languages Specific to Java and Swift as Console Applications vs. an Effective User Interface Overhead”, International Journal of Computer Science and Programming Language”, Vol-8, Issue -2, PP. 6-12, 2022.

Soundariya R S, Tharsanee R M, Nirmaladevi J, Vishnupriya B, Nivaashini M, “Hybrid deep recurrent neural networks for COVID-19 detection and diagnosis”, International Journal of Health Sciences, Vol-6, Issue-S1, PP. 8551–8564, 2022.

B. Vishnupriya, R. M. Tharsanee, R. S. Soundariya, M. Nivaashini and G. Pavithra, ” A Meta-Heuristic Approach for Intrusion Detection System Using Cascaded Classifiers”, Second International Conference on Image Processing and Capsule Networks , PP-719-731, 2022.

Nivaashini M, Thangaraj P, Sountharrajan S, Suganya E and Soundariya R S, “Effective Feature Selection for Hybrid Wireless Iot Network Intrusion Detection Systems Using Machine Learning Techniques”, – Ad Hoc & Sensor Wireless Networks, PP. 175-206, 2021.

G.Pavithra , Dr C.Palanisamy , Dr S.S.Rajasekar, R.S.Soundariya, “Skin Lesion Analysis – Feature ExtractionMethods Using Dermoscopy Image”, International Journal of Aquatic Science, Vol -12, Issue- 03,PP. 1821-1829, 2021.

R.S.Soundariya, R.M.Tharsanee, B.Vishnupriya, R.Ashwathi, M.Nivaashini, “Certain Investigations on the Application of Machine learning Algorithms and Deep Learning Architectures for Covid -19 Diagnosis”, Journal of Engineering Research, PP. 1-15, 2021.

Nivaashini Mathappan, R.S. Soundariya, Aravindhraj Natarajan and Sathish Kumar Gopalan, “Bio-medical analysis of breast cancer risk detection based on deep neural network”, International Journal of Medical Engineering and Informatics, Vol-12, Issue-6, PP 529-541, 2020.

M.S.Arun Kumar, R.S.Soundariya, M.Nivaashini, P.S.Dinesh and S.Iniya Shree, “Applications Of Big Data Analytics In Healthcare: A Research Perspective”,International Journal of Scientific and Technology Research, Vol- 9, Issue-02, PP. 4427-4430, 2020.

Soundariya R S, Nivaashini M, Tharsanee R M and Thangaraj P, “Application of Various Machine Learning Techniques in Sentiment Analysis for Depression Detection”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol-8, Issue-10S, PP. 292-296, 2019.

Mathappan Nivaashini, RS Soundariya, “Deep boltzmann machine based breast cancer risk detection for healthcare systems”, International Journal of Pure and Applied Mathematics, Vol-119, Issue-7, PP. 581-590, 2018.

M Nivaashini, RS Soundariya, A Dinesh Kumar, “Silkworm Growth Monitoring Smart Sericulture System based on Internet of Things (IOT) and Image Processing”, International Journal of Computer Applications, Vol-180, Issue-18, PP. 29-33, 2018,.

M Nivaashini, RS Soundariya, A Kodieswari, P Thangaraj, “SMS spam detection using deep neural network”, International Journal of Pure and Applied Mathematics, Vol-119, Issue-18, PP. 2425-2436, 2018.

M Nivaashini, RS Soundariya, P Thangaraj, “Comparative Analysis of Machine Learning Approaches for Twitter Sentiment Analysis”, Journal of Computational and Theoretical Nanoscience, Vol-15, Issue- 5, PP. 1743-1749, 2018.

RS Soundariya, M Nivaashini, H Vidhya Shri, P Thangaraj, “Comparative Analysis of Feature Selection Methods and Machine Learning Algorithms in Permission based Android Malware Detection”, International Conference on Intelligent Computing and Communication for Smart World (I2C2SW), PP-72-77, 2018.

R.Renuga R.S.Soundariya, “Eye movement based emotion recognition using electrooculography”, Innovations in Power and Advanced Computing Technologies (i-PACT), PP. 1-5, 2017.

M.Nivaashini R.S.Soundariya, “Deep Stacked Auto-encoder Based Feature Representation For Phishing Urls Detection”, Journal of Advanced Research in Dynamical and Control Systems, Vol-9, Issue-6, PP-904-916, 2017.

R.S. Soundariya and R. Renuga, “Emotion recognition based on eye movement”, Journal of Advances in Natural and Applied Sciences (ANAS), Vol-11, Issue-5, PP. 38-43, 2017..

M.Nivaashini, R.S.Soundariya, “Deep Boltzmann Machine based Breast Cancer Risk Detection for Healthcare Systems”, International Journal of Pure and Applied Mathematics, Vol-119 Issue. 7, PP. 581-590, 2017.

Soundariya R S, Tharsanee R M, “Hybrid Blockchain Technology Based Secure Storage and Sharing of Electronic Clinical Reports using Dragonchain”, International Conference on “ETCIA-2023”, VIT Bhopal, 2023.

Soundariya R S, “Exploring Uncertainty Quantification in Material Informatics”, 3rd Virtual International Conference “ICRCSET -2022”, Chalapathi Institute of Technology, Andhra Pradesh, 2022.

Soundariya R S, Tharsanee R M, “Hybrid Deep Recurrent Neural Network for Covid-19 Detection And Diagnosis”, Second International Conference on “Artificial Intelligence and Smart Computing”,BIT, 2022.

Thiyagarajan R, Vimal balaji V S, Jagadheeshwaran Y, R.S.Soundariya, “Object Detection and Semantic Segmentation using RCNN”, National Conference in Recent Trends in Ubiquitous computing and communication Technology, BIT Sathy, September 2019

Soundariya R S, Saranya K, Santhiya K, Thangaraj P, ” Feasibility Study On The Application Of Elgamal Cryptosystem and Elliptic Curve Cryptography for Tri-Authentication System in Automated Teller Machines “, 7th International Conference on Innovations in Computer Science and Engineering (Icicse-2019), Guru Nanak Institute Of Technology, August 2019

R.S.Soundariya, M.Nivaashini, R.Lakshmiprabha, S.Kiruthiga, “Analysis of suitable machine learning algorithms for non- alcoholic fatty liver disease prediction”, Nutrizion -2019-International Conference on Functional Foods and Nutraceuticals, Department of Food Technology, BIT, Sathyamangalam, August 2019

R.S.Soundariya, M.Nivaashini, R.M.Tharsanee, P.Thangaraj, “Applications of Various Machine Learning techniques in Sentiment Analysis for Depression Detection: A Survey”, International Conference on Intelligent Digital Transformatio 2019, Department of CSE, Sri Ramakrishna Engineering College, Coimbatore, July 2019

M Prem Kumar, S Maman Mythein, R S Soundariya, “Type I diabetes prediction using machine learning”, NCW sponsored National Conference on “BigData Analytics for cyber intelligence and defense on cyber crimes against women” , Dr.A.Bazilla Banu, BIT, Sathyamangalam, March 2019

R.S.Soundariya, P.Thangaraj, “Comparative Study on Numerous Machine Learning techniques for Sentiment Analysis using physiological signals”, International Conference on Sustainable Advanced Computing – ICSAC 2019, Christ University, Bangalore, February 2019

M.Nivaashini, R.S.Soundariya, H.Vidhya Shri, P.Thangaraj, “Comparative Analysis of Feature Selection Methods and Machine Learning Algorithms in Permission based Android Malware Detection”, Intelligent Computing and Communication for Smart world – I2C2SW , Department of ECE, Kongu Engineering College, Perundurai, December 2018

R.S.Soundariya,M.Nivaashini, R.M.Tharsanee, “Survey on various Noise Removal Techniques for Enhancing the Quality of Speech Recognition Systems”, International Conference on Inventive Computation Technologies (ICICT-2018), Department of CSE, RVS Technical Campus, Coimbatore, November 2018

M.Apoorva, S.Sathya,R.S.Soundariya , “Human Activity Recognition using Machine Learning Techniques”, RECENT TRENDS IN UBIQUITOUS COMPUTING COMMUNICATION TECHNOLOGY, Department of CSE, BIT, Sathyamangalam, October 2018

M.Nivaashini, R.S.Soundariya, A.Kodieswari, “SMS Spam Detection using Deep Neural Network”, National Cyber Safety and Security Standards, National Cyber Safety and Security Standards, Chennai, March 2018

M.Nivaashini, R.S.Soundariya, P.Thangaraj, “Comparative Analysis of Machine Learning Approaches for Twitter Sentiment Analysis”, International Conference on Cyber Physical Systems for Next Generation Computing, BIT, Sathyamangalam – 638 401, March 2018

M.Nivaashini, R.S.Soundariya, A. Dinesh Kumar, “Smart Sericulture System based on Internet of Things (IoT)”, 4th National Conference on Recent Trends in Ubiquitous Computing (RTUCCT-2017), Department of Computer Science, December 2017

M.Nivaashini, R.S.Soundariya, “Deep Boltzmann Machine based Breast Cancer Risk Detection for Healthcare Systems”, International Conference on Mathematical Impacts in Science and Technology, Department of Mathematics, BIT, Sathymangalam, November 2017

Degree	Title	Investigator(s)	Funding Agency	Amount	Project Status	Sanction Date
1	Margdarsan Scheme	Dr. C.Palanisamy	AICTE	18,00,000 (Eighteen Lakhs)	On-going	10.08.2018
2	Secure Tri-authentication system for ATM (STAS_ATM)	Dr.P.Thangaraj	TamilNadu State Council for Science and Technology (TNSCST)	Rs.4,81,860/-	Submitted
3	Investigation of scholarships and fellowships awarded in science and technology sector towards effective planning and utilization of S	Dr.P.Thangaraj	Department of Science and Technology(DST), NSTMIS - CHORD Divison	Rs.20, 34,121/-	Submitted

S.No.	Title	Date	Reg.No.	Status	Level	Funding
1	MACHINE LEARNING AND FUZZY LOGIC BASED SMART DETECTION OF CHRONIC LUNG CANCER	06.08.2021	202141033357	Published	National Level	Self
2	Sustainable vehicle tracking system for dead zones using Internet of Things (IoT)	13.06.2019	201941023432	Filed	National Level
3	ACCIDENT PREVENTION SYSTEM FOR HAIRPIN BEND ZONE	30.12.2019	201941054453	Filed	National Level

S No.	Topic	Program	Venue	Date
1	Sentiment Analysis	AICTE - ATAL- 5 Days Online FDP on DATA SCIENCE	Online	05.11.2020
2	Practical Machine Learning with python	Delivered a webinar on "Practical Machine Learning with Python", organised by Department of IT in collaboration with Computer Society of India (CSI),Hindusthan Institute of Technology, Coimbatore	Webinar	10.07.2020
3	AIoT - Insights of AI in IoT	Delivered a webinar on "AIoT - Insights of AI in IoT" organised by Department of CSE,Ambal Professional Group of Institutions, Palladam	Webinar	04.07.2020

S No.	Title	Author	Publication	Year / Month
1	Applications of Artificial Intelligence Algorithms for Robot Development	Tharsanee R M, Soundariya R S, Saran Kumar A, Praveen V	Taylor & Francis (Including CRC Press)	2022
2	Deep Convolutional Neural Network–based Image Classification for COVID-19 Diagnosis	RM Tharsanee, RS Soundariya, A Saran Kumar, M Karthiga, S Sountharrajan	Springer	2021
3	Blockchain for Automotive Security and Privacy with Related Use Cases	M. Karthiga , S. S. Nandhini , R. M. Tharsanee , M. Nivaashini and R. S. Soundariya	Springer	2021