Xingang Zhao
Scholar

Xingang Zhao

Google Scholar ID: Q0DQGmMAAAAJ
University of Tennessee
Nuclear EngineeringArtificial IntelligenceDecision Science
Citations & Impact
All-time
Citations
581
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • He has authored more than 50 publications and has led or contributed to successful proposals of $10M total funding from the U.S. Department of Energy and Oak Ridge National Laboratory.
Research Experience
  • He has been a major contributor to a diverse portfolio of research projects that advance the state of the art of modeling & simulation and digital engineering for applications in both legacy and next-generation nuclear reactors.
Education
  • PhD in Nuclear Science and Engineering from Massachusetts Institute of Technology, 2019; MS in Nuclear Science and Engineering from Massachusetts Institute of Technology, 2016; Dipl. Ing. in Nuclear Engineering from National Institute for Nuclear Science and Technology (INSTN), Saclay, France, 2014; Dipl. Ing. in Energy and Environmental Engineering from National Institute of Applied Sciences (INSA), Lyon, France, 2014.
Background
  • His research interests span multiple disciplines of nuclear energy systems—with emphasis on thermal hydraulics and I&C—and their intersections with artificial intelligence and decision science. He has been a major contributor to a diverse portfolio of DOE, NRC, and ORNL funded projects that advance the state of the art of modeling and simulation and digital engineering for applications in both legacy and next-generation reactors.
Miscellany
  • Member of the American Nuclear Society (ANS) since 2015, served as I&C Track Lead for NPIC&HMIT 2025, organized and chaired student paper competitions at NPIC&HMIT 2023 and PSA 2023, chaired 2023 ANS Young Professional Thermal Hydraulics Research Competition, member of OECD Nuclear Energy Agency AI & ML Task Force (2022-present).