Dr. Gajendra Singh Chawda | Engineering | Best Extension Activity Award
University of Michigan-Dearborn | United States
Author Profile
Early Academic Pursuits
Gajendra Singh Chawda pursued his educational journey with a Bachelor of Technology in E & E Engineering from RGPV Bhopal, followed by a Master of Technology in Power System from NIT Kurukshetra. He completed his Ph.D. in Electrical Engineering from IIT Jodhpur, specializing in Renewable Energy Penetration and Adaptive Controls.
Professional Endeavors
As a Research Associate, Gajendra led projects in the development of novel high-frequency distribution systems and Electric Vehicle (EV) charging and discharging control using machine learning-based algorithms. He also contributed significantly to the construction of DC Microgrid experimental prototypes.
Contributions and Research Focus
Gajendra's research interests encompass a wide array of topics, including power systems, power electronics applications in distribution systems, renewable energy penetration, and grid-forming inverters. He has extensively studied adaptive control algorithms, big data analysis, and the application of AI/ML in power systems.
Accolades and Recognition
Gajendra received prestigious awards such as the Vishweshwaraya Scholarship Award for his Ph.D. and travel grants from IEEE-PES and CSIR-India for international conferences. He has delivered expert lectures in various academic programs and actively participated in technical events and professional organizations.
Impact and Influence
His groundbreaking projects and innovative solutions in renewable energy systems and microgrid technology have had a significant impact on advancing sustainable energy solutions. His contributions to research and development have been published in reputable journals, including IEEE Transactions and Elsevier.
Legacy and Future Contributions
Gajendra's commitment to pushing the boundaries of research and developing sustainable energy solutions is evident in his ongoing projects and collaborations. He continues to share his knowledge through academic mentoring, expert lectures, and participation in conferences, contributing to the broader academic community's advancement in electrical engineering and renewable energy.
Notable Publication
Performance Improvement of Weak Grid-Connected Wind Energy System Using FLSRF-Controlled DSTATCOM 2023 (10)