AK Yadav
Indian Institute of Technology Bombay, Central Electronics Engineering Research Institute, Swami Keshvanand Institute of Technology Management and Gramothan
0000-0002-1950-7165
About
Anshul Kumar Yadav holds a Bachelor of Technology in Electrical Anshul Kumar Yadav holds a Bachelor of Technology in Electrical Engineering with distinction from Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur (2023). He previously worked as a Junior Research Fellow at CSIR-CEERI, Pilani, gaining valuable industrial research experience. Currently, he serves as a Project Research Fellow at KCDH, IIT Bombay, where he harnesses artificial intelligence to drive transformative healthcare solutions. His research expertise includes computer vision, artificial intelligence, and optimization.
Employment
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Indian Institute of Technology Bombay Project Research Assistant2025 - Present
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Indian Institute of Technology Bombay Project Technical Assistant2025 - 2025
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Central Electronics Engineering Research Institute Junior Research Fellow2023 - 2025
Education
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Swami Keshvanand Institute of Technology Management and Gramothan Bachelor of Technology2019 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Quality-Aware Clinical AI: IQA Preprocessing Pipeline for Point of Care Intraoral Imaging Tool Save
- Deep Learning-Based Framework for Damage Introduction and Its Segmentation in Ancient Mural Paintings Save
- Evaluation of a $\pm 5 \text{kV}$ Solid-State-Based 200 Ns Duration Pulse Generator Save
- Reconstructing degraded areas of old Indian wall paintings through image inpainting Save
- A Review on Battery and Energy Management for Redox Flow Batteries Save
- A Comprehensive review on technological breakthroughs in precision agriculture: IoT and emerging data analytics Save
- Assessment of Deep Learning algorithms for Damage Segmentation in Indian Murals Save
- AN INSIGHT INTO ENERGY MANAGEMENT THROUGH SMART DATA ANALYTICS FOR REDOX FLOW BATTERY Save
- Uncertainty aware State-of-Charge estimation for Li-ion Batteries using Deep Learning Save
- Uncertainty Estimation of PV and Load Using Deep Learning for Networked Microgrid Save