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April 15, 2022

CoE Medium: AI brings a new tool to nuclear hide-and-seek

Sometimes you can’t get somewhere, but you still have to see inside. That’s as true for the hidden chambers of the Egyptian pyramids as it is for the handling and non-proliferation of nuclear fuel. A little bit of artificial intelligence (AI) can come in handy.
April 7, 2022

Ryan wins Best Movie Award at NURETH-19

Drew Ryan, doctoral candidate at the School of Nuclear Engineering (NE), won the Best Movie Award at the 19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH 19). The conference took place virtually this year.
March 14, 2022

In honor of Black History Month, NE features Thomas Poindexter, J.D. (BSNE 1977)

Thomas Poindexter is currently the Principal Owner at Nukelaw LCC, a Washington D.C.-based firm. For the past 45 years, he has represented nuclear energy clients and nuclear power plants in licensing and regulatory matters before the Nuclear Regulatory Commission (NRC). He was a key partner at Morgan, Lewis & Bockius and Winston & Shawn. He has also assisted in regulatory, investigative, and enforcement matters in the United States, Canada and the UAE. While prolific and exceptional, his forged path was not intentional, but rather a gradual discovery of interests.
March 10, 2022

Bae and Chatzidakis' research published in Scientific Reports

Junghyun Bae, doctoral candidate at the School of Nuclear Engineering (NE), and Stylianos Chatzidakis, assistant professor and advisor, were recently published in Scientific Reports, volume 12, for their intensive research on cosmic ray muons.
March 7, 2022

CoE Medium: Hany Abdel-Khalik contributes to NSF-funded AI endeavor

Artificial intelligence (AI) has grown to be viewed as a magical tool. The nearly human intelligence we have taught machines to develop and use has become essential to advancing science, engineering and security. From the smart fridge to the smart grid, AI leverages unprecedented levels of available data and computer power, offering tremendous potential to uncover hidden patterns in big data for scientific discovery and performance improvement.
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