MM
About
My research interests lie at the intersection of Artificial Intelligence, IoT, Embedded Systems, Edge AI, and Wireless Sensor Networks. My work focuses on developing intelligent, energy-efficient, and reliable systems for applications such as indoor localization, intelligent sensing, Industrial IoT, and cyber-physical systems. I am particularly interested in integrating AI with emerging IoT and embedded technologies to address real-world challenges.
Employment
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SASTRA University Assistant Professor III2022 - Present
Education
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NIT Ph.D? - 2019
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College of Engineering, Guindy M.E.? - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- An Automatic Number Plate Recognition System Using Machine Learning for a Smart University Campus Save
- OptiXI: A Novel Hybrid Approach for Strategic Player Selection in IPL Using Machine Learning and Memetic Genetic Algorithms Save
- Indoor Localization Using Machine Learning for the Elderly and Visually Impaired Save
- Real Time Stress Detection in Humans using Smartphone Sensor Data Save
- Predictive Analytics for Residential Energy Consumption Forecasting Save
- Edge based Device using Machine Learning for Water Quality Management in a Smart Campus Save
- A Novel Standalone Internet of Things Enabled Device for Detection of Rotten Fruits in Cold Storage Systems Save
- Active Contour Segmentation and Deep Learning Based Hand Gesture Recognition System for Deaf and Dumb People Save
- Deep Learning based Early Prediction Scheme for Breast Cancer Save
- Performance analysis of iterative linear regression‐based clustering in wireless sensor networks Save