CIR: Agentic AI – Powering the Next Wave of Energy Autonomy
Dr. Yuhong Liu, Ph.D.
Associate Professor – Santa Clara University
IEEE Computer Society Board of Governors Member | Chair – Geographic Activities Committee
Dr. Yuhong Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She received her B.S. and M.S. degrees from Beijing University of Posts and Telecommunications in 2004 and 2007, and her Ph.D. degree from the University of Rhode Island in 2012.
Her research focuses on responsible and trustworthy AI, security and privacy in Agentic AI, edge intelligence, IoT, and Blockchain. She has authored over 100 peer-reviewed papers and serves as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Service Computing (TSC), Multimedia Tools and Applications (MTAP), and APSIPA Transactions on Signal and Information Processing (TSIP).
She also serves as a member of the IEEE Computer Society Board of Governors, Chair of the Geographic Activities Committee, Treasurer of the T&C Board, an IEEE Distinguished Visitor (2022–2024), and an APSIPA Distinguished Lecturer (2021–2022).
Presentation: Agentic AI – Powering the Next Wave of Energy Autonomy
Abstract:
The energy sector is undergoing rapid transformation, driven by the rise of renewables, decentralization, and electrification. Utilities, operators, and enterprises face increasing pressure to manage complexity, volatility, and ambitious sustainability goals. Agentic AI for energy autonomy offers a powerful paradigm by enabling autonomous, goal-driven agents that optimize generation, distribution, and consumption in real time.
Unlike traditional automation, agentic systems are adaptive, self-directed, and capable of long-horizon decision-making. They can coordinate distributed resources, ensure grid stability, and manage storage and demand response with minimal oversight. This talk explores the emerging research landscape, highlights opportunities, and showcases case studies that illustrate the potential and challenges of Agentic AI in energy systems.
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- Starts 27 October 2025 06:00 AM UTC
- Ends 20 November 2025 03:00 AM UTC
- No Admission Charge
Speakers
Dr. Yuhong Liu
Agentic AI – Powering the Next Wave of Energy Autonomy
The energy sector is undergoing rapid transformation, driven by the rise of renewables, decentralization, and electrification. Utilities, operators, and enterprises face increasing pressure to manage complexity, volatility, and ambitious sustainability goals. Agentic AI for energy autonomy offers a powerful paradigm by enabling autonomous, goal-driven agents that optimize generation, distribution, and consumption in real time.
Unlike traditional automation, agentic systems are adaptive, self-directed, and capable of long-horizon decision-making. They can coordinate distributed resources, ensure grid stability, and manage storage and demand response with minimal oversight. This talk explores the emerging research landscape, highlights opportunities, and showcases case studies that illustrate the potential and challenges of Agentic AI in energy systems.
Biography:
Dr. Yuhong Liu, Ph.D.
Associate Professor – Santa Clara University
IEEE Computer Society Board of Governors Member | Chair – Geographic Activities Committee
Dr. Yuhong Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She received her B.S. and M.S. degrees from Beijing University of Posts and Telecommunications in 2004 and 2007, and her Ph.D. degree from the University of Rhode Island in 2012. Her research focuses on responsible and trustworthy AI, security and privacy in Agentic AI, edge intelligence, IoT, and Blockchain. She has authored over 100 peer-reviewed papers and serves as an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Service Computing (TSC), Multimedia Tools and Applications (MTAP), and APSIPA Transactions on Signal and Information Processing (TSIP). She also serves as a member of the IEEE Computer Society Board of Governors, Chair of the Geographic Activities Committee, Treasurer of the T&C Board, an IEEE Distinguished Visitor (2022–2024), and an APSIPA Distinguished Lecturer (2021–2022).
Address:United States