Assistant Professor, Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Surathkal
Dr. Kashyap’s work lies at the intersection of artificial intelligence, renewable energy systems, smart grids, and airborne wind energy. His research integrates machine learning, remote sensing, numerical modelling, real-time simulation, and prototype-based validation for intelligent and sustainable energy systems.
Machine learning, cloud motion vectors and remote sensing for solar energy nowcasting and PV planning.
Kite-based wind power systems, real-time emulation and flight-control oriented energy conversion research.
Hybrid energy management, battery systems, BMS concepts and intelligent power allocation for EVs.
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Use this space to plot real-time or periodically updated research data from Google Drive, Google Sheets CSV export, local CSV, sensor logs, solar forecasting output, EV/BMS logs, or experimental time-series datasets.
| Level | Courses |
|---|---|
| UG / PG | EE276 – Digital Electronic Circuits; EE311 – Digital System Design; EE335 – Digital System Design Laboratory; EE265 – Power Transmission and Distribution; EE319 – Neural Networks and Applications; EE432 – Introduction to Machine Learning; EE403 – Deep Neural Networks and Applications; EE404 – Soft Computing and Applications; EE918 – Selected Topics in Alternative Energy Sources; EE853 – Renewable Energy Systems; EE917 – Electric Vehicle |
Open to academic and industry collaborations in AI for energy systems, renewable energy forecasting, airborne wind energy systems, smart grid analytics, electric vehicle energy management and CFD-assisted renewable energy system design.