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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Interns to Industry: Connecting students to the workforce
The nuclear industry has long recognized a shortage of both skilled craft labor and professional talent. As global demand for reliable energy continues to rise—across the United States and internationally—that need has not only increased but has become critical.” This is a truth that nuclear industry consultant Jeffery P. Hawkins understands, and it is why he developed a program called Interns to Industry. The former Fluor Corporation executive said that “there has been a deficit of qualified resources in the nuclear industry, and this is forecasted to be even more so in the future, so I am working with various universities to determine how to customize their curriculums to fit the forecasted needs of the industry.”
Radiation Protection and Shielding Division 2024 (RPSD 2024)
Technical Session
Tuesday, November 19, 2024|10:00–11:45AM EST|Longboat 1
Session Chairs:
Joel A. Kulesza (LANL)
Curtis Brown (MPR)
Alternate Chair:
Matthew Anderson (INL)
Session Organizer:
Michael Reichenberger
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A Numerical Investigation and Comparison of 26 Types of Concrete for Shielding in Proton Therapy Facilities
10:00–10:20AM EST
Po-Wen Fang (Nat'l Tsing Hua Univ.), Rong-Jiun Sheu (Nat'l Tsing Hua Univ.)
Paper
Simplifying Radiation Transport Simulations with Cyclone Sage
10:20–10:40AM EST
Daniel Cork (Orthrus Software), Peter Taylor (Orthrus Software), John Billingsley (Cerberus Nuclear)
Machine Learning in Accelerator Shielding: Application Using Convolutional Neural Networks
10:40–11:00AM EST
Rajarshi Pal Chowdhury (Michigan State), Juan Zamora (Michigan State), Tom Ginter (Michigan State), Georg Bollen (Michigan State)
ADEPT -- Virtual Reality Visualization and Real-Time Calculation of Dose Rate Fields for Dose Planning
11:00–11:20AM EST
Anderson Alves (KINECTRICS), Eric Heritage (KINECTRICS), Matthew Smith (KINECTRICS)
Predicting Solution Color in Solvent Extraction Using Machine Learning and Non-Traditional Sensor Measurements
11:20–11:40AM EST
Omobolade Odedoyin (John Hopkins University), Edna Cardenas (INL), Luis A. Ocampo Giraldo (INL), Mitchell R. Greenhalgh (INL), Jay D. Hix (INL)
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