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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. Prior to joining the University of Wisconsin–Madison, he served as a Eugene P. Wigner Distinguished Staff Fellow at Oak Ridge National Laboratory beginning in 2022. His research focuses on the development of advanced muon tomography systems for monitoring spent nuclear fuel casks, supporting deep geological repository nuclear waste storage and management, and strengthening nuclear security and safeguards.

Department

Nuclear Engineering & Engineering Physics

Contact

Engineering Research Building
1500 Engineering Dr
Madison, WI

Featured news

Focus on new faculty: JungHyun Bae is developing radiation detection technology to enhance safety

January 23, 2026

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

  • Radiation Detection and Measurement
  • Nuclear Security, Safeguards, and Nonproliferation
  • Spent Nuclear Fuel Storage and Waste Management
  • Radiography

  • 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)