• Highlights of 2024
  • 2000+ Participants from 25+ countries | 7 Supporting Ministries, 15 Supporting Organisations and 18 Supporting Media Partners | 30 Key Partners, 20 Exhibitors, 5 Country Partners and 17 Conference Session Partners | 241 Speakers | 16 Thematic Sessions, 1 Master Class | 8 Bi-lateral & Focused Workshops | 2 Special Plenaries | 202 Participants from 32 Utilities | 60 Technical Papers Published and 25 Technical Papers Presented | 66 Winners amongst 11 ISGF Innovation Award Categories

ISUW 2022 Speaker

Rajit Gadh
Rajit Gadh
Professor of Engineering, UCLA

Dr. Rajit Gadh is Professor of Engineering at UCLA, where he is Director of the UCLA Smart Grid Energy Research Center, and Co-Founder of startup MOEV a company developing Artificial Intelligence for managing electric vehicle fleets which was spun out of research performed at UCLA.  Dr. Gadh has a Doctorate degree from Carnegie Mellon University (CMU), a Masters from Cornell University and a Bachelor's degree from IIT Kanpur all in engineering. He has taught as a visiting researcher at UC Berkeley, has been an Assistant, Associate and Full Professor at University of Wisconsin-Madison, and was a visiting researcher at Stanford University.  He is a Fellow of the American Society of Mechanical Engineers. He has received the National Science Foundation (NSF) CAREER award, NSF Research Initiation Award, and, NSF-Lucent Industry Ecology Fellow Award, Society of Automotive Engineers Ralph R. Teetor Educational award, IEEE WTS second best student paper award, ASME Kodak Best Technical Paper award, AT&T Industrial ecology fellow award, Engineering Education Foundation Research Initiation Award, the William Mong Fellowship from University of Hong Kong, and other accolades in his career. He has lectured and given keynote/distinguished addresses worldwide in countries such as Belgium, Brazil, Canada, China, Dubai, England, France, Germany, Holland, India, Ireland, Italy, Japan, Mexico, S. Korea, Singapore, Spain, Taiwan, and Thailand.  Dr. Gadh's current research interests include AI and machine learning for modeling and control of Smart Grids and Microgrids, Electric Vehicle to Grid Integration, Bi- directional Vehicle-to-Grid, Autonomous Electric Vehicles, and Distributed Energy Resources.