Florida International University (FIU) continues its Tech Talks series on October 19th, 2021 focusing on several D&D topics relevant to the DOE EM Complex. FIU will collaborate with Idaho National Laboratory (INL) focusing on the Potential of Artificial Intelligence in the Nuclear Power Industry.
The operation and maintenance of a nuclear power plant depends on manual and labor-intensive activities, which result in a cost disadvantage to other energy industries. In order for nuclear energy to remain part of the nation’s energy portfolio, the nuclear power industry must innovate and use automation to reduce its operating cost. The U.S. Department of Energy’s (DOE) has anticipated this need and launched the Light Water Reactor Sustainability (LWRS) Program to research and develop technologies and solutions to achieve this objective. Because artificial intelligence (AI) is a key enabler for modern automation solutions, the LWRS program efforts are leveraging advancements in AI models and methods in creating custom technologies and solutions for the nuclear industry. An overview of some key uses of AI in automation will be presented in this talk.
Dr. Ahmad Rashdan
Ahmad Al Rashdan, Ph.D.
, is currently a senior research and development scientist at Idaho National Laboratory (INL)
. Dr. Al Rashdan holds a Ph.D. in nuclear engineering from Texas A&M University, a M.Sc. in information technology and automation systems from Esslingen University of Applied Science in Germany, and a B.Sc. in mechanical engineering from Jordan University of Science and Technology. He has roughly 15 years of industrial and research experience in automation, instrumentation, and control, including experience at INL, the ABB Group, Texas A&M University, the International Atomic Energy Agency, Daimler Chrysler-Mercedes Group, and Fraunhofer Institute for Production and Automation. His experience includes automated work processes using AI methods and advanced analytics, online condition monitoring of nuclear systems, control-systems design and development, anomalies detection, and automated modeling and simulation. Dr. Al Rashdan is an active contributor to and organizer of several DOE events and scientific conferences. He authored or co-authored more than 50 technical reports and journal papers and six patent applications and is an active reviewer for several nuclear energy and Institute of Electrical and Electronics Engineers (IEEE) journals, as well as many DOE grants. Dr. Al Rashdan is a senior member of the IEEE and a member of the American Nuclear Society.
Joining the meeting instructions
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This event is sponsored by The U.S. Department of Energy