Energy Autonomy through Agentic AI: Challenges and Opportunities
Speaker: Dr. Jun Yan, Associate Professor, Concordia University, Montréal, Canada
Host: Dept. of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL
https://eecs.fau.edu
AI-powered technologies and solutions are increasingly transforming the energy landscape for researchers, industries, and consumers alike. In the pursuit of affordable, reliable, and sustainable electricity, AI presents both exciting opportunities and critical barriers across the generation, consumption, storage, and transaction, leading towards a decentralized energy autonomy tailored to diverse local contexts and priorities. The talk will look at these solutions and challenges through the lens of Agentic AI, a novel perspective inspired by recent breakthroughs of foundation models. By exploring this frontier, we will discuss emerging paradigms and pivotal questions shaping the future of AI-powered energy systems. The discussion will spotlight recent research projects and initiatives in areas such as security automation, digital twinning, knowledge integration, and cross-disciplinary education to foster further discussions and collaborations.
Register here: https://fau-edu.zoom.us/meeting/register/tZwkceihqjwoG9aMG0t6ImhqKrQsQryWzwXh
Date and Time
Location
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Registration
- Date: 18 Dec 2024
- Time: 10:30 AM to 11:30 AM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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Dept. of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL
https://eecs.fau.edu - Co-sponsored by Dept of Electrical Engineering and Computer Science, Florida Atlantic University; Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), Florida Atlantic University
- Starts 13 December 2024 09:42 PM
- Ends 18 December 2024 12:00 AM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Jun Yan
Energy Autonomy through Agentic AI: Challenges and Opportunities
AI-powered technologies and solutions are increasingly transforming the energy landscape for researchers, industries, and consumers alike. In the pursuit of affordable, reliable, and sustainable electricity, AI presents both exciting opportunities and critical barriers across the generation, consumption, storage, and transaction, leading towards a decentralized energy autonomy tailored to diverse local contexts and priorities. The talk will look at these solutions and challenges through the lens of Agentic AI, a novel perspective inspired by recent breakthroughs of foundation models. By exploring this frontier, we will discuss emerging paradigms and pivotal questions shaping the future of AI-powered energy systems. The discussion will spotlight recent research projects and initiatives in areas such as security automation, digital twinning, knowledge integration, and cross-disciplinary education to foster further discussions and collaborations.
Register here: https://fau-edu.zoom.us/meeting/register/tZwkceihqjwoG9aMG0t6ImhqKrQsQryWzwXh
Biography:
Jun Yan is an Associate Professor at Concordia University, Montréal, Canada, where he holds the University Research Chair in Artificial Intelligence in Cyber Security and Resilience. His research focuses on computational intelligence, security, and resilience for critical infrastructures, with applications in smart grids, cities, vehicles, and healthcare. He has published over 100 peer-reviewed research articles, three of which are ranked among the top 50 most cited publications in the corresponding IEEE Transactions over the past five years, according to Google Scholar.
Dr. Yan co-founded the NSF EuReCa Global Center with Santa Clara University and the Security Research Center and the Digital Twins Hub at Concordia. He also played a key role in securing several major grants at Concordia. He leads over 15 students and multiple initiatives advancing AI-driven solutions for secure, trustworthy, and resilient energy systems. His research has been funded/co-funded by the National Science Foundation, the Natural Science and Engineering Research Council of Canada, the Canada Foundation for Innovation, the Quebec Research Fund, Mitacs, IEEE, Hydro-Québec, Ericsson, Nvidia, Hitachi, among others.