Expertise
Nuclear Systems Design and Analysis, Multiphysics Modeling, Reactor Dynamics
Research Interests
My research focuses on nuclear systems design and analysis, the development of advanced reactor simulation tools, and the application of machine learning to various nuclear system problems.
Education
- Doctor of Philosophy (Ph.D.) in Nuclear Engineering, Texas A&M University, College Station, Texas
- Master of Science (M.Sc.) in Nuclear Engineering, Moscow Engineering Physics Institute, Moscow, Russia
- Bachelor of Science (B.Sc.) in Nuclear Engineering, Jordan University of Science and Technology, Irbid, Jordan
Selected Publications
- Hui-Yu Hsieh, Thabit Abuqudaira, Pavel Tsvetkov, Piyush Sabharwall, “Deep learning-based enhancement of integrated process control performance in nuclear reactor operations,” Annals of Nuclear Energy, 225, 111765 (2025).
- Thabit Abuqudaira, Pavel Tsvetkov, and Piyush Sabharwall, “Dynamics modeling of molten salt reactor with reduced and expanded representations of delayed neutron precursors,” Annals of Nuclear Energy, 219, 111461 (2025).
- Hui-Yu Hsieh, Thabit Abuqudaira, Pavel Tsvetkov, Piyush Sabharwall, “Differentiable hybrid neural network approach for enhancing reactor dynamics simulations,” Annals of Nuclear Energy, 225, 111785 (2025).
- Thabit Abuqudaira, Pavel Tsvetkov, and Piyush Sabharwall, “Dynamics of Molten Salt Reactor with Operating Heaters,” Nuclear Science and Engineering, 1-22 (2024).
- Thabit Abuqudaira, Pavel Tsvetkov, and Piyush Sabharwall, “Perspective Chapter: Assessment of Nuclear Sensors and Instrumentation Maturity in Advanced Nuclear Reactors,” Nuclear Fission - From Fundamentals to Applications, IntechOpen (2023).