AI in Nuclear Energy: Regulation and Emerging Applications
This talk will present emerging applications of Artificial Intelligence (AI) in the nuclear energy sector, focusing on how Large Language Models (LLMs) and vision systems can enhance nuclear safety, data interpretation, and operational efficiency. Grounded in recent work involving CANDU systems and Canadian CSA standards, the presentation will explore how AI can be responsibly applied in highly regulated environments.
In addition to technical advances, the talk will discuss how AI systems can be effectively regulated within the nuclear context, examining current governing standards and their applicability to intelligent technologies. It will also highlight ongoing developments in AI regulation, emphasizing how evolving frameworks can support innovation while maintaining the industry’s core commitment to nuclear safety.
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- Co-sponsored by IEEE Canadian Atlantic Section
- Starts 13 November 2025 04:00 AM UTC
- Ends 02 December 2025 04:00 PM UTC
- No Admission Charge
Speakers
Dr. Issam Hammad of Dalhousie University
AI in Nuclear Energy: Regulation and Emerging Applications
his talk will present emerging applications of Artificial Intelligence (AI) in the nuclear energy sector, focusing on how Large Language Models (LLMs) and vision systems can enhance nuclear safety, data interpretation, and operational efficiency. Grounded in recent work involving CANDU systems and Canadian CSA standards, the presentation will explore how AI can be responsibly applied in highly regulated environments.
In addition to technical advances, the talk will discuss how AI systems can be effectively regulated within the nuclear context, examining current governing standards and their applicability to intelligent technologies. It will also highlight ongoing developments in AI regulation, emphasizing how evolving frameworks can support innovation while maintaining the industry’s core commitment to nuclear safety.
Biography:
Issam Hammad (Senior IEEE Member), received his B.Sc. degree in computer engineering from Princess Sumaya University for Technology, Amman, Jordan, in 2008. He earned both his M.A.Sc. and Ph.D. degrees in electrical and computer engineering from Dalhousie University, Halifax, NS, Canada, in 2010 and 2021, respectively. He is currently an Assistant Professor in the Department of Engineering Mathematics and Internetworking at Dalhousie University, Halifax, NS, Canada. He is a licensed Professional Engineer (P.Eng) with more than 15 years of industry experience. His current research interests include the use of AI in nuclear energy applications, approximate computing, and machine learning hardware-software co-optimization.
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