2023 AI Webinar Recordings
April 6, 2023- Applications of Artificial Intelligence in Modeling, Control, and Operation of Power Systems for Decarbonizing the Electric Grid
Moderated by: Ali Abedi, Associate Vice President for Research
Speaker: Reinaldo Tonkoski, Assistant Professor, Haskell Power Professorship, University of Maine
Reinaldo Tonkoski (SMIEEE) is the Robert N. Haskell Power Professor in the Electrical and Computer Engineering Department at the University of Maine – Orono. A 2011 Ph.D. graduate from Concordia University, Dr. Tonkoski has authored over one hundred technical publications in peer-reviewed journals and conferences and is currently an Editor of IEEE Systems Journal, IEEE Transactions on Sustainable Energy, and IEEE Access. He was a Peer Reviewer for the U.S. Department of Energy’s Office of Electricity Energy Storage Program (2016-2018), providing critical assistance in guiding the execution of approximately $50M in annual energy storage research, and a consultant for the Honolulu Authority for Rapid Transportation project related to voltage regulation (2017-2019). His research interests include grid integration of sustainable energy technologies, power electronics, and control systems. He was with CanmetENERGY, Natural Resources Canada, from 2009-2010 and a Visiting Professor at Sandia National Laboratories (2019-2020) where he worked on projects related to the grid integration of renewable energy sources and energy storage systems.
February 2, 2023– AI for Secure IoT Design
Moderated by: Dr. Ali Abedi, UMaine Associate Vice President for Research and AI Steering Committee Chair
Speaker
Prabuddha Chakraborty, Assistant Professor, Electrical & Computer Engineering; Advanced Structures & Composites Center, University of Maine
Prabuddha Chakraborty’s research interest lies in the intersecting areas of Artificial Intelligence, Internet-of-Things, and system security. He received his PhD in Electrical and Computer Engineering from the University of Florida. He has worked within the Security Software Team at Texas Instruments and the FPGA acceleration R&D team at Xilinx. His research effort has so far led to more than 20 peer-reviewed journal/conference articles and more than 10 US patents & copyrights (filed/granted). He is a recipient of the Certificate of Outstanding Merit (University of Florida in 2021), for his academic and research excellence. He has also received several awards/honors for his research contributions including the TTTC’s E. J. McCluskey Best Doctoral Thesis Award 2022, Best Hardware Demo Award (at IEEE HOST 2019) and the Top Picks in Hardware and Embedded Security award 2021 (by IEEE HSTTC).
