Dr. GAURAV YADAV

About

Dr. Gaurav Yadav received the Ph.D. from DTU in 2025 and a B.Tech. degree in electrical engineering from Integral University at Lucknow in 2015 and is currently working as a senior project associate in Power Electronics from PE Lab in SECS (School of Electrical and Computer Sciences) at the IIT Bhubneshwar. From 2017 to 2019, he was with the Power Systems Labs in the Electrical Engineering Department at Integral University, Lucknow, for his M.Tech. degree. His research interests include high-frequency power converters, DC/DC converters, power electronic systems, wireless power transmission, adaptive controller design, digital control using the F28789D microcontroller, power quality issues, closed-loop control, filter design, grid-interactive chargers, and the use of ML/AI in bidirectional EV chargers and AC/DC converters.

Employment

• IIT (BHU), Varanasi Post-Doctoral Fellow
  2026 - Present
• Delhi Technological University Research Scholar
  2021 - Present
• Indian Institute of Technology Bhubaneswar Project Associate-II

Education

• Integral University M.Tech
  2017 - 2019
• Integral University B.Tech
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Design and control strategy of RES-based grid-connected EV systems using NLMAT algorithms to improve PQ
  Electrical Engineering 2026 DOI: 10.1007/s00202-026-03556-7
  +Save
• An Ultrathin Graphite‐Based Absorber for Wearable Applications
  IET Microwaves, Antennas & Propagation 2026 DOI: 10.1049/mia2.70123
  +Save
• Efficient Response Enhancement Under Nonideal Grid Voltage Conditions Using Fourth-Order D-QSG–based Control Grid-Interactive EV Chargers
  International Journal of Circuit Theory and Applications 2026 DOI: 10.1002/cta.70059
  +Save
• Parameter optimization of dual-QSG based PLL for real-time control of grid-connected EV chargers
  Turkish Journal of Electrical Engineering and Computer Sciences 2026 DOI: 10.55730/1300-0632.4198
  +Save
• Stabilizing DC bus voltage using CEEMDAN-XGBoost based adaptive filtering technique in EV chargers
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110547
  +Save
• Enhancing power quality and stability in grid-interactive electric vehicle chargers using advanced control strategies and disturbance compensation
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/adf038
  +Save
• ML‐Based Grid‐Interactive EV Chargers Under Nongrid Conditions
  Applied Computational Intelligence and Soft Computing 2025 DOI: 10.1155/acis/1731177
  +Save
• Machine Learning-Based Grid-Interactive Chargers for Optimizing Power Quality Under Non-grid Conditions
  Studies in Infrastructure and Control 2025 DOI: 10.1007/978-981-95-1323-9_4
  +Save
• Optimizing Power Quality in EV Chargers Using Advanced Quadrature Signal Generators and AI-Driven Adaptive Filtering
  International Journal of Circuit Theory and Applications 2025 DOI: 10.1002/cta.4424
  +Save
• Real-time investigation of grid-interactive EV charger with two-stage bidirectional converter under wide voltage range scenarios
  Electrical Engineering 2025 DOI: 10.1007/s00202-024-02609-z
  +Save