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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Center for Used Fuel Research: Building confidence in storage and transport
Used nuclear fuel storage and transportation have reached a critical juncture.
Dozens of utilities need reliable data on how used nuclear fuel performs in dry storage casks and canisters to extend regulatory licenses at sites across the United States. Likewise, the Department of Energy expects to take ownership of the used nuclear fuel—termed “spent nuclear fuel” in the laws and regulations governing its stewardship—and transfer it to one or more federal staging facilities for management and disposition.
Meanwhile, dozens of reactor companies are testing prototypes of advanced reactors and advanced reactor fuels. Eventually, regulators and industry must also verify the safety and security of storage methods for these advanced fuel types.
To help address these challenges, the DOE established the Center for Used Fuel Research (CUFR) in January 2026 for work related to the long-term storage and transport of used nuclear fuel.
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Wednesday, July 19, 2023|10:00–11:45AM EDT|301A
Session Chair:
Andrew Young (University of Strathclyde)
Alternate Chair:
Cody Walker
Session Organizer:
Vivek Agarwal
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Presentation Slides (Visible to Attendees)
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Automated Diagnostics of Control Rod Drive Mechanisms with Machine Learning
10:00–10:25AM EDT
Brent Shumaker (Analysis and Measurement Services Corp.), Christopher Guillotte (Analysis and Measurement Services Corp.), Brian Moazen (Analysis and Measurement Services Corp.), Zachary Becker (Analysis and Measurement Services Corp.)
Presented by Chad Kiger (Analysis and Measurement Services Corp.)
Paper
Inference of BWR Irradiation History Employing Discharged Fuel Isotopics
10:25–10:50AM EDT
Tarikul Islam (Purdue), Shiming Yin (Purdue), Jeongwon Seo (Purdue), Hany S. Abdel-Khalik (Purdue)
Transfer Learning Technique Using Similar Phenomena Training for Fuel Digital Twins of Nuclear Systems
10:50–11:15AM EDT
James Daniell (Missouri Univ. Science and Technology), Kazuma Kobayashi (Missouri Univ. Science and Technology), Palash Bhowmik (INL), Souvik Chakraborty (IIT Delhi), Syed Alam (Missouri Univ. Science and Technology)
Development of a Scalable, Risk-Informed, Predictive Maintenance Cloud Based Strategy at Nuclear Power Plants
11:15–11:40AM EDT
Cody Walker (INL), Rita Appiah (Purdue), Vivek Agarwal (INL)
