Ms Soundariya R S – Bannari Amman Institute of Technology

Experience Type	Organization	Date of Joining	To	Total Experience
Engineering	BIT-Sathy	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.	IT	HINDUSTHAN INSTITUTE OF TECHNOLOGY	Anna University, Chennai	2014
M.E.	CSE	COIMBATORE INSTITUTE OF TECHNOLOGY	Anna University, Chennai	2017

G.Pavithra , Dr C.Palanisamy , Dr S.S.Rajasekar , R.S.Soundariya Skin Lesion Analysis – Feature Extraction Methods Using Dermoscopy Image International Journal of Aquatic Science 03 – AUG 2021

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. ICIPCN 2021. Lecture Notes in Networks and Systems, 300 LNNS 719 – 731 SEP 2021

M.S.Arun Kumar, R.S.Soundariya, M.Nivaashini, P.S.Dinesh, S.Iniyashree Applications-Of-Big-Data-Analytics-In-Healthcare-A-Research-Perspective INTERNATIONAL JOURNAL OF SCIENTIFIC 9 2 4427 – 4430 FEB 2020

M.Nivaashini, R.S.Soundariya,N.Aravindhraj, G.Sathish Kumar Bio-medical analysis of breast cancer risk detection based on deep neural network Int. J. Medical Engineering and Informatics, 12 6 529 – 541 2020

Tharsanee R M, Soundariya R S , Vishnupriya B Machine Learning and Data Analytics for Environmental Science: A Review, Prospects and Challenges – IOP Conference Series: Materials Science and Engineering – – NOV 2020

Soundariya R S, Nivaashini M, Tharsanee R M, Thangaraj P Application of Various Machine Learning Techniques in Sentiment Analysis for Depression Detection International Journal of Innovative Technology and Exploring Engineering (IJITEE) 8 10 292 – 297 AUG 2019

R.S.Soundariya,K.Saranya,K.Santhya,Dr.P.Thangaraj Feasibility Study on the Application of ELGamal Cryptosystem and Elliptic Curve Cryptography for Tri-Authentication System in Automated Teller Machines Journal of Innovation in Information Technology 3 1 22 – 26 JUN 2019

M.Nivaashini, R.S.Soundariya, A. Dinesh Kumar Silkworm Growth Monitoring Smart Sericulture System based on Internet of Things (IOT) and Image Processing International Journal of Computer Applications 180 18 29 – 33 FEB 2018

M.Nivaashini, R.S.Soundariya Deep Boltzmann Machine based Breast Cancer Risk Detection for Healthcare Systems International Journal of Pure and Applied Mathematics 119 7 581 – 590 APR 2018

R.S.Soundariya, R.Renuga Eye movement based emotion recognition using electrooculography IEEE Xplore Digital Library doi: 10.1109/IPACT.2017.8245212 1 – 5 JAN 2018

M. Nivaashini, R. S. Soundariya, and P. Thangaraj Comparative Analysis of Machine Learning Approaches for Twitter Sentiment Analysis Journal of Computational and Theoretical Nanoscience 15 5 1743 – 1749 MAY 2018

M. Nivaashini, R. S. Soundariya, and P. Thangaraj SMS spam detection using Deep Neural Network International Journal of Pure and Applied Mathematics 119 18 2425 – 2436 SEP 2018

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 9 Special issue 6 904 – 916 JUL 2017

R.S.Soundariya, R.Renuga Emotion recognition based on eye movement Journal of Advances in Natural and Applied Sciences (ANAS) 11 5 38 – 43 MAR 2017

Tharsanee.R.M., Soundariya.R.S., Vishnupriya.B. Machine Learning and Data Analytics for Environmental Science: A Review, Prospects and Challenges IOP Conference Series: Materials Science and Engineering 955 1 –

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, 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, 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, Sathy, 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, Dr.G.Murugesan Convener, I2C2SW, School of SCCS 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), Dr. S.K.Mouleeswaran, Professor, Department of CSE, RVS Technical Campus, Coimbatore, India., Hotel Arcadia, Coimbatore, November 2018

M.Apoorva, S.Sathya,R.S.Soundariya , “Human Activity Recognition using Machine Learning Techniques”, RECENT TRENDS IN UBIQUITOUS COMPUTING COMMUNICATION TECHNOLOGY, S.Gilbert Nancy, Assistant Professor, Department of CSE, Bannari Amman Institute of Technology,Sathyamangalam, Department of CSE, Bannari Amman Institute of Technology,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, , Bannari Amman Institute of Technology 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 , Dr G Komarasamy Organizing Secretary (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, Dr. R. Senthil Kumar, Convener, Department of Mathematics, Bannari Amman Institute of Technology, 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.	Subject Area
1	Database Management System
2	Computational Intelligence
3	Mobile Application Development
4	Data Analytics
5	Human Computer Interaction
6	Virtual Reality

S No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	Sustainable vehicle tracking system for dead zones using Internet of Things (IoT)	13.06.2019	201941023432	In Progress	National Level
2	ACCIDENT PREVENTION SYSTEM FOR HAIRPIN BEND ZONE	30.12.2019	201941054453	In Progress	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	Transforming Cyber security solutions using blockchain technology - Blockchain for Automotive Security and Privacy with Related Use Cases.	Karthiga M.,Nandhini S.S., Tharsanee R.M., Nivaashini M.,R.S.Soundariya	Springer, Singapore	2021
2	Data science for Covid-19 , Volume 1 : Computational Perspectives	R.M. Tharsanee, R.S. Soundariya, A. Saran Kumar, M. Karthiga and S. Sountharrajan	Elsevier	2021