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JungHyun Bae

JungHyun Bae

Assistant Professor

Dr. JungHyun Bae is an Assistant Professor in the Department of Nuclear Engineering and Engineering Physics at the University of Wisconsin–Madison. His research focuses on nuclear waste management and the back end of the nuclear fuel cycle, radiation detection and instrumentation, cosmic-ray muon imaging, non-destructive assay, nuclear safeguards and security, and quantum computing applications for nuclear energy.
Before joining UW–Madison, Dr. Bae was a Eugene P. Wigner Distinguished Staff Fellow in the Nuclear Energy and Fuel Cycle Division at Oak Ridge National Laboratory (ORNL). He earned his Ph.D. in Nuclear Engineering from Purdue University.
Dr. Bae has led research projects sponsored by the U.S. Department of Energy, the National Nuclear Security Administration, and ORNL’s Laboratory Directed Research and Development program. As principal investigator, he has directed projects on nuclear material accountancy and safeguards at geological repositories using muon tomography; momentum-informed muon scattering tomography for imaging spent nuclear fuel casks; cosmic-radiation noise reduction in radiation portal monitors; and the effects of high-energy radiation on superconducting qubits. These projects integrate radiation detection, particle-transport modeling, advanced image reconstruction, and experimental validation to address challenges in nuclear safeguards, waste management, security, and quantum information science.
He has also contributed to DOE-sponsored projects involving cosmic-ray muon measurements at underground research facilities, vacuum-drying experiments for simulated damaged nuclear fuel, and the development of ultrasound-based flow-diagnostic capabilities. His broader research includes compact Cherenkov muon spectrometers, radiation-source localization and portal-monitor data analysis, high-resolution gamma-ray spectroscopy, thermal-hydraulic analysis of spent-fuel storage systems, and reactor safety analysis using computational fluid dynamics.
Dr. Bae’s research has been featured by the U.S. Department of Energy, and he was recognized in the inaugural Nuclear News “40 Under 40” class. He serves on the executive committees of the American Nuclear Society Young Members Group and Fuel Cycle and Waste Management Division and contributes to the OECD Nuclear Energy Agency Global Forum on Nuclear Education, Science, Technology and Policy.

Department

Nuclear Engineering & Engineering Physics

Contact

433, Engineering Research Building
1500 Engineering Dr
Madison, WI

Featured news

Meet JungHyun Bae | Department of Nuclear Engineering & Engineering Physics at UW–Madison

  • PhD 2022, Purdue University
  • MS 2017, University of California, Berkeley
  • BS 2015, Korea Advanced Institute of Science and Technology (KAIST)

  • Radiation detection and instrumentation
  • Cosmic-ray muon imaging and muon tomography
  • Nuclear waste management and nuclear fuel cycle
  • Nuclear safeguards, security, and nonproliferation
  • Spent nuclear fuel monitoring and geological repositories
  • Monte Carlo radiation-transport modeling
  • Quantum computing systems

  • 2025 Featured in the US DOE article, "Neutron detector mobilizes muons for nuclear, quantum material"
  • 2024 Featured in the ANS Nuclear News inaugural '40 Under 40 list'
  • 2023 Featured in the US DOE article, "JungHyun Bae, Wigner Fellow, uses fundamental particles to probe nuclear material”
  • 2022 Oak Ridge National Laboratory, Eugene P. Wigner Distinguished Staff Fellowship
  • 2022 American Physical Society (APS), Grant Award from Group of Instrumentation and Measurement Science (GIMS)
  • 2022 American Nuclear Society (ANS), Graduate Scholarship
  • 2022 American Nuclear Society, Alpha Nu Sigma (ΑΝΣ) honor society lifetime member
  • 2022 American Physics Society, APS March meeting, Braslau Family Grant
  • 2021 US-Korea Conference on Science and Technology, Best Presentation Award
  • 2021 2021 ANS Winter meeting, Winner of 'Pitch your PhD' competition
  • 2021 28th International Conference on Nuclear Engineering, Best Paper Award
  • 2021 Korean American Science and Engineering Association (KSEA), Scholarship
  • 2021 Purdue University College of Engineering, Magoon Excellence in Teaching Award
  • 2020 American Nuclear Society (ANS), Outstanding Graduate Scholarship
  • 2020 Roy G. Post Foundation, Scholarship
  • U.S. Army, Army Achievement Medals (AAM)
  • U.S. Army, Army Commendation Medal (ARCOM)

  • Sucov, A., Bae, J., Bean, R., Enders, A., & Tognini, S. (2025). Adaptive Noise Filtering Techniques for Radiation Portal Monitors. Proceeding of ANTPC, 1, 81-84.
  • Romano, M., Bae, J., & Cantonwine, P. (2025). Algorithms for Achieving Sub-Pixel Resolution in Muon Tomography. Transactions of American Nuclear Society, 133, 320-323.
  • Bae, J., Glasgow, D., McCarter, W., & Nguyen, T. (2025). In Situ High-Resolution Gamma Ray Spectroscopy for Assessment of Nonreactor Nuclear Facilities Off-Gas Ventilation. Transactions of American Nuclear Society, 133, 220-223.
  • Romano, M. M., Liu, Z., & Bae, J. (2025). Machine learning methods for subpixel trajectory reconstruction in discretized position detectors. arXiv preprint arXiv:2512.20645.
  • Bae, J., Enders, A., Massey, C., Livesay, J., & Blessinger, C. (2025). Radiation portal monitor data file format for comprehensive background radiation monitoring. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1076, 170516.
  • Niedermeier, J., Bae, J., & Stuke, M. (2025). Threshold Analysis of Modelling and Measurement Accuracies in Muon Scattering Tomography. Transactions of American Nuclear Society, 132(1), 196-198.
  • Bae, J., Chatzidakis, S., & Ughade, R. (2024). Gamma-Ray and Cosmic Ray Muon Modalities for Cargo Inspection. In Emerging Radiation Detection: Technology and Applications (p. 207-238). Springer Nature Switzerland Cham.
  • Bae, J., Montgomery, R., & Chatzidakis, S. (2024). Author Correction: Momentum informed muon scattering tomography for monitoring spent nuclear fuels in dry storage cask. Scientific Reports, 14, 11331.
  • Bae, J., Montgomery, R., & Chatzidakis, S. (2024). Enhanced material identification via momentum-integrated muon scattering tomography. Nuclear Science and Technology Open Research, 2(42).
  • Bae, J., Montgomery, R., & Chatzidakis, S. (2024). Image reconstruction algorithm for momentum dependent muon scattering tomography. Nuclear Engineering and Technology, 56(5), 1553-1561.

  • N E 427 - Nuclear Instrumentation Laboratory (Spring 2026)