Upcoming Presenters

IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
November 19, 2025, 6:00 PM – 7:30 PM (MDT)

 

Dr. Yuhong Liu

  • Professor – Santa Clara University
  • IEEE Computer Society Board of Governors Member and Chair – Geographic Activities Committee

 

Dr. Yuhong Liu 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. Dr. Yuhong Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. Yuhong’s research focuses on responsible and trustworthy AI, security and privacy in Agentic AI, edge intelligence, IoT, and Blockchain.  Yuhong 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). Yuhong 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.

 

Location: Zoom,

 

  • Join by phone: +1 (669) 900-6833
    • Meeting ID: 921 9279 5283
      • One tap mobile +16699006833, 92192795283#

 

Invited: Everyone is welcome.

 

Cost: Free

 

 

 

Call for speakers

Are you a graduate (or undergraduate) student looking for an opportunity to present your paper?
Are you a scientist, researcher, or professional looking to share your knowledge?

Here is your chance!

All technology domains are welcome.

Here is what you need to provide:

  • A brief bio about yourself

  • Title for the presentation

  • Abstract of the topic

  • Your availability

Review the details for past presentation at https://r5.ieee.org/denver-cs/honors/

Contact us at cir.denver@ieee.org , and one of our volunteer officers will help you with the rest.

We are here to help you.

 

Comments are closed.