Event Date: June 30, 2026
| Time | Event | Lead |
|---|---|---|
| 1:00pm - 1:10pm | EMT Initiative Updates | Suman Debnath, ORNL, Aung Thant, NERC, Alireza Ghassemian, DOE |
| 1:10pm – 1:20pm | WG Updates: Feature | Amar Sagar Reddy, ASU, Qianxue Xia, ORNL |
| 1:20pm – 1:55pm | Stability of Power Electronics-Dominated Systems | Yunjie Gu, Imperial College |
| 1:55pm – 2:00pm | Question and Answers | Amar Sagar Reddy, ASU, Qianxue Xia, ORNL |
Speakers
Dr. Yunjie Gu: Dr. Gu is an Associate Professor in Power Systems and the Director of MSc Programme Future Power Networks at Imperial College London. Before joining Imperial, he was with GE Global Research Center. His research focuses on the stability of inverter-based power systems, including new technologies for stability support and new tools for stability analysis. He was a UKRI Innovation Fellow under the award Grid-Supportive Power-Electronics for Power System Security. He leads the Royal Society International Collaboration Award: Synergising Currents: Holistic Operability of AC+DC Grids. He is the PI of several industrial funded research projects, in collaboration with NESO and SSEN. He has been listed among the top 2% highly cited scientists by Stanford University since 2020. He is a senior member of IEEE, a member of several CIGRE working groups (C2/B4.38 ), and a major participant in the grid-forming best practice guide of NESO.
Dr. Amarsagar Reddy Ramapuram Matavalam: He is an assistant professor in the school of Electrical, Computer and Energy Engineering at Arizona State University. He received his bachelor’s and master’s from the Indian Institute of Technology-Madras and his Ph.D. from Iowa State University. His research interests are in power system dynamics & control, data-driven analysis of power systems, and novel power system simulation methods on GPUs. His research has been funded by the Department of Energy, Salt River Project, PSERC, and EPRI. His research has received multiple awards, including the first place in the 2025 Machine Learning for Physical Simulation challenge by RTE and NVIDIA and the second place in the 2019 Learning to Run the Power Network RL challenge. He is a member of several IEEE Task Forces and CIGRE Working Groups and is the chair of the IEEE PES Phoenix Chapter.