
Majdi Radaideh receives 2025 MCD Young Member’s Research Achievement Award
The award recognizes Assistant Professor Radaideh’s exceptional contributions to nuclear mathematics and computational methods.
The award recognizes Assistant Professor Radaideh’s exceptional contributions to nuclear mathematics and computational methods.
NERS Assistant Professor Majdi Radaideh has been selected to receive the 2025 Young Member’s Research Achievement Award from the Mathematics and Computation Division (MCD) of the American Nuclear Society (ANS).
The award recognizes professionals under the age of 40 who have made significant technical contributions in areas central to MCD, including new principles, methods of analysis, software products, or innovative applications of mathematical and computational knowledge within the nuclear field. Recipients are chosen based on the technical merit and ingenuity of their work, with a focus on research rather than management achievements. Radaideh was selected for ”his innovative research on the development of large-scale optimization, uncertainty quantification, and machine learning algorithms for nuclear engineering applications”.
“I am grateful to the ANS MCD Division for this recognition, which would not have been possible without the great support of Professor Brian Kiedrowski and my supporting external nominators—Professor Rizwan Uddin (University of Illinois), Professor Ben Forget (MIT), and Dr. Derek Gaston (Department of Energy),” said Radaideh. “I also sincerely thank the NERS department for their continued support of my professional growth.”
Since joining NERS in 2023, Radaideh has quickly established himself as a leading voice in reactor physics, machine learning, and high-performance computing. His work focuses on developing advanced computational methods to support the design, safety, and operation of next-generation nuclear reactors.
Radaideh leads the Artificial Intelligence and Multiphysics Simulations (AIMS) Laboratory at NERS, where his team develops advanced computational tools to solve complex problems in nuclear reactor design, safety, and operation. The AIMS Lab specializes in combining physics-based modeling with modern machine learning techniques, enabling more accurate and efficient simulations of reactor behavior.
“Majdi has quickly established himself as a national leader in nuclear energy and is an important component to the ongoing success of NERS,” said NERS Chair Todd Allen. “We appreciate his recognition by the American Nuclear Society.”
Photo: Omer Erdem, Kamal Abdulraheem, Nataly Panczyk, Radaideh, Logan Burnett, and Leo Tunkle pose with Radaideh’s award.