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JEC 5040
- jiw2@rpi.edu
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(518)276-6602
- 0000-0001-9832-254X
About
Dr. Wei Ji is a Professor of Nuclear Engineering at Rensselaer Polytechnic Institute (RPI), where he leads the Nuclear Computing and Multi-Physics (NuCoMP) Research Group and serves as Director of the Rensselaer Walthousen Reactor Critical Facility. He serves as Vice President/President/Faculty Chair of the Rensselaer Faculty Senate Executive Committee.
Dr. Ji’s research focuses on developing advanced computational methods and multiphysics tools for the design, analysis, and operation of nuclear and radiation-based systems. His group combines reactor physics, Monte Carlo and deterministic radiation transport, high-performance computing, and multiphysics simulation to address challenges in advanced nuclear reactors and energy systems. His research has included GPU-accelerated Monte Carlo methods for radiation transport, with applications ranging from reactor analysis and radiation dose evaluation to nuclear nonproliferation. More recently, his research has expanded to artificial intelligence and machine learning for scientific computing, reduced-order and surrogate modeling, digital twins, and quantum computing approaches for nuclear engineering. The group also investigates space nuclear systems and radiation effects for future exploration missions.
Since joining RPI in 2008, Dr. Ji has established a broad, interdisciplinary research program supported by more than $17.8 million in sponsored research funding from federal agencies, national laboratories, and industry. He has authored more than 185 peer-reviewed publications and has received research and teaching recognition from the U.S. Department of Energy, American Nuclear Society, NASA, and Rensselaer. His students have also received numerous national and university-level awards and fellowships for their research.
Dr. Ji is an award-winning educator and mentor. His teaching has been recognized with the Northeastern Association of Graduate Schools Graduate Faculty Teaching Award, the Rensselaer Alumni Association Teaching Award, and the Rensselaer School of Engineering Education Innovation Award.
- Ph.D., Nuclear Engineering, University of Michigan, 2007
- M.S., Nuclear Engineering, University of Michigan, 2004
- M.S., Engineering Physics, Tsinghua University, 2002
- B.S., Engineering Physics, Tsinghua University, 1999
Research
The Nuclear Computing and Multi-Physics (NuCoMP) Research Group develops innovative computational methods and multiphysics tools to address challenging problems in nuclear engineering and energy systems. The research combines computational and experimental reactor physics, Monte Carlo and deterministic radiation transport, high-performance scientific computing, and multiphysics modeling and simulation for the design, analysis, and operation of advanced nuclear reactors and energy systems. Current research explores artificial intelligence and machine learning for scientific computing, reduced-order and surrogate modeling, digital twins, and quantum computing approaches for nuclear engineering. The group also develops computational methods and workflows with applications in nuclear reactor analysis, nuclear nonproliferation, radiation transport and dose evaluation, and space nuclear systems and radiation effects. Across these activities, a common theme is the development of advanced computational technologies that enable high-fidelity, efficient, and integrated analysis of complex nuclear systems.
- AI and Machine Learning for Scientific Computing
- Quantum Computing for Nuclear Energy Applications
- Advanced Nuclear Reactor and Energy System Design
- Computational and Experimental Reactor Physics
- Multiphysics Modeling, Simulation, and Digital Twins
- Space Nuclear Systems and Radiation Effects
Nuclear Computing and Multi-Physics (NuCoMP) Research Group — develops advanced computational and multiphysics methods for nuclear engineering and energy systems.
Publications
The following is a selection of recent publications in Scopus. Wei Ji has 111 indexed publications in the subjects of Energy, Engineering, Physics and Astronomy.