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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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NN Asks: Is the U.S. ready for nuclear construction to accelerate?
Craig Stover
Yes, but . . .
The United States is better positioned today for nuclear construction than it has been in decades. Some of that comes from the experience gained at Vogtle and V.C. Summer. I was part of the team that helped start the V.C. Summer project in 2008, and at that time we were trying to build a nuclear construction workforce from scratch. We learned a lot through that effort, and many of those lessons learned have since been studied, documented, and shared.
The nuclear industry is also benefiting from the wave of investment that started growing around 2020. Over the last five or six years, there has been a serious effort across the country to get ready for new nuclear builds. The U.S. government and the private sector are investing billions of dollars in new nuclear. Much of that work is happening before widespread commercial deployment contracts are signed. This is real, and we need to prepare.
Technical Session|Sponsored by HFICD
Tuesday, November 19, 2024|3:15–5:00PM EST|Anemone
Session Chair:
Chaitee M. Godbole
Alternate Chair:
Stylianos Chatzidakis
Session Organizer:
Xingang Zhao
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A Machine Learning Methodology for Fault Detection for Online Monitoring of Reactor Coolant Pumps
3:15–3:35PM EST
Chaitee Milind Godbole (INL), Vaibhav Yadav (INL), Vivek Agarwal (INL)
Paper
Bridging the Gap Between Prognostics and Maintenance Decision-Making of Critical Assets in Nuclear Power Plants
3:35–3:55PM EST
Zihan Li (Univ. Florida), Minhee Kim (Univ. Florida)
Anomaly Detection in Temperature Measurements of Liquid Sodium Heater Zones Using an LSTM Autoencoder
3:55–4:15PM EST
Maria Pantopoulou (Purdue Univ.), Derek Kultgen (ANL), Konstantinos Prantikos (Purdue Univ.), Lefteri Tsoukalas (Purdue Univ.), Alexander Heifetz (ANL)
Design, Construction, and Plans for the FISHtank: A Physical Testbed for Health Monitoring and Controls Research
4:15–4:35PM EST
David Anderson (Univ. Tennessee, Knoxville), Avery Bateman (Univ. Tennessee, Knoxville), Xingang Zhao (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Residual Error Time-Series Forecasting for Anomaly Detection in Nuclear Reactor Data
4:35–4:55PM EST
Zachery Dahm (Purdue Univ.), William Richards (Purdue Univ.), Konstantinos Vasili (Purdue Univ.), Vasileos Theos (Purdue Univ.), Konstantinos Gkouliaras (Purdue Univ.), Stylianos Chatzidakis (Purdue Univ.)
AI Powered Nuclear Reactor Core Instrumentation Diagnostics
4:55–5:15PM EST
M. Berardi (Blue Wave AI Labs), G.J. Mendis (Blue Wave AI Labs), M.J. Mueterthies (Blue Wave AI Labs), A. Tunga (Blue Wave AI Labs), J. Heim (Blue Wave AI Labs), J.T. Gruenwald (Blue Wave AI Labs), J. Nistor (Blue Wave AI Labs), A. Kankkunen (Blue Wave AI Labs)
