Hemalatha Karnan
SASTRA University, National Institute of Technology Tiruchirappalli, Anna University, Chennai
0000-0003-2849-3102
About
Dr. Hemalatha Karnan pursued B.Tech. Bioengineering in SASTRA University during 2002-2006. She received her ME Applied Electronics degree from Anna University, BIT campus, Tiruchirappalli in the year 2012 and Ph.D. from the Department of Instrumentation & Control Engineering in National Institute of Technology, Tiruchirappalli. Her research areas are Bio- signal processing and machine learning techniques for clinical data analysis. She has also interests in image processing and its usage in point-of-care device design. She has over 15 years of research experience. She has presented her research findings in 15 different International and 3 National Conferences. Her publications are on learning model development and optimization with publishers like CRC press, Wiley and etc. She has filed a patent on her recent research work on the design of wearable system for geriatric care.
Employment
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SASTRA University Assistant Professor2019 - Present
Education
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National Institute of Technology Tiruchirappalli Ph. D
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Anna University, Chennai M.E
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SASTRA University B. Tech
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Predicting Drug Response in Diffuse Large B-Cell Lymphoma Patients Using Machine Learning Models Save
- Machine-Learning-Based Predictive Modelling of Oxygen Release from Oxygen-Releasing Biomaterials Save
- Causal Inference for Personalized Geriatric Well Being Save
- Futuristic Approach for Wearable Blood Pressure Prediction Using Doppler Radar Principle Save
- Decision Making System for FCD-Epilepsy type-II Segmentation Using MRI Save
- Edge-based Federated Learning for Plant Disease Detection: Convergence and Energy Analysis Save
- Abstracts of the 2025 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering Save
- Automated mechanical ventilator design and analysis using neural network Save
- Web-Based Application for Physical to Digital ECG Signal Analysis for Cardiac Dysfunctions Save
- Numerical modeling and analysis of cardiac stent using blood hammer principle Save