JayashreeM,BE,MTech,Ph.D(Research Scholar)

Brief Profile : 

Ms . Jayashree M working as an assistant professor in the Department of Information Science and Engineering, has 20 years of Experience in teaching. She has completed her B.E from Golden Valley Institute of Technology, Bangalore University, MTech from M.S.Ramaiah  Institute of Technology VTU, Pursuing Ph.D. from VTU, Her research area includes Machine Learning, Artificial Intelligence and Natural language processing .

she has worked in various reputed colleges in the city and has 20 years of teaching experience. She has taught subjects like Object-oriented Programming (C++, JAVA), Machine Learning, Finite Automata theory, Data structures, Design and analysis of algorithms, Logic Design, Data Mining, and DMS.

Professional Activities : 

Published the paper titled “ Hybrid Machine Learning Based Approach to reduce the features for the prediction of Long Term Reanl Ailment” in the International Journal of Intelligent Systems and Applications in Engineering.

 Presented Paper titled “Framework for Analysing and Predicting the Unstructured Clinical Text Data Using NLP” on the International Conference on MRTM at NHCE from September 22nd -23rd 2023.

Presented paper titled “Feature Reduction Set for the Prediction of Renal Disease Using Adaptive Boosting and Optimal Hyperplane Algorithms” at DSCE on International Conference on Advances in Engineering and Technology for intelligent systems from May 16th-18th 2023.

Presented Paper titled “Artificial Intelligence Based Natural Language Processing Approach to Process Unstructured Data in Medical Health Records” at Northeast Green Summit 2021 organized by National Institute of Technology Silchar On 16-18th November 2021

Presented and published paper titled “A Review: Machine Learning based Chronic Kidney Disease Prediction” on Online International Conference on ”Recent trends in computer science and Information Technology” (ICRCSIT) on 17th and 18th june 2020,in UGC care Journal.

Presented paper titled “Comparative Study of Ensemble Learner approach for the Early prediction of CKD “on Online International Conference on ” On Multidisciplinary Technologies and challenges in Industry 4.0(ICMTCI-4.0) at EPCET Bangalore

Presented paper titled “A Journey of Machine Learning Algorithms for the prediction of Long-Term Kidney Disease” on National Conference on ” New Generation Emerging Trend Paradigm” (NGEPT) on 3rd May 2019.

Presented and published paper titled “Lung disease prediction over the Big data “on National Conference ”Perspective in Communication Embedded systems and Signal Processing” in Pisces ,volume 2.

Presented paper titled “Traffic Assist - Track and Monitor Accidents Using Data Mining Techniques" in NCETCSE-2018.