Eunshin Byon

Industrial and Operations Engineering
University of Michigan
1205 Beal Avenue
Ann Arbor, MI  48109-2117
U.S.A.

Office: 2773 IOE
Phone: (734)764-6565
e-mail: ebyon@umich.edu

Eunshin Byon

Education

  • Texas A&M University, College Station, TX, Industrial and Systems Engineering, Ph.D.
  • KAIST (Korea Advanced Institute of Science and Technology), South Korea, Industrial and Systems Engineering, M.S.
  • KAIST (Korea Advanced Institute of Science and Technology), South Korea, Industrial and Systems Engineering, B.S.

Appointments

  • Associate professor, Industrial and Operational Engineering, University of Michigan, 9/2017-present
  • Associate professor, Civil and Environmental Engineering, University of Michigan (Courtesy appointment), 9/2017-08/2020
  • Assistant professor, Industrial and Operational Engineering, University of Michigan, 9/2011-8/2017
  • Assistant professor, Civil and Environmental Engineering, University of Michigan (Courtesy appointment), 5/2015-8/2017
  • Postdoctoral Research Associate, Texas A&M University, 6/2010-8/2011

Research Interests

  • Data Science 
  • Reliability Engineering, Fault Diagnosis, and Operations & Maintenance Optimization 
  • Computer Experiments, Stochastic Simulations, Uncertainty Quantification
  • Energy & Sustainability
Latest News
  • (March 2023) Our paper “Multi-block Parameter Calibration in Computer Models” is accepted in INFORMS Journal on Data Science¬†
  • (December 2022) Dr. Byon received an NSF grant for the project entitled “Collaborative Research: Calibrating Digital Twins in the Era of Big Data with Stochastic Optimization” in collaboration with Dr. Sara Shashaani at NCSU (Jan 2023-Dec 2025).
  • (October 2022) Dr. Byon received the 2022 Best Associate Editor (AE) award of INFORMS Journal on Data Science.
  • (September 2022) Our paper “Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling” appeared in Annals of Applied Statistics.
  • (August 2022) Our paper “Optimal budget allocation for stochastic simulation with importance sampling: exploration vs. replication” is featured by the Editor-in-Chief in the 2022 August Issue in ISE magazine.
  • (July 2021) Our paper “Spatiotemporal post-calibration in a Numerical Weather Prediction model for quantifying building energy consumption” is accepted in IEEE Transactions on Automation Science and Engineering.
  • (May 2021) Dr. Byon received the 2021 Department Faculty Award.
  • (April 2021) Youngchan Jang successfully finished his PhD study in 2021 and joined Korea Army Research Center for Future & Innovation (KARFI).
  • (May 2021) Cheoljoon Jeong (PhD student) and Ziang Xu (Master student) won the Best Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision with the paper “Season-dependent Parameter Calibration in Building Energy Simulation”
  • (May 2021) Bingje Liu¬†won the Best Student Paper Finalist and Best Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision with the paper “Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling”
  • (December 2021) Our paper “Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models” appeared in Annals of Applied Statistics.
  • (March 2021) Our paper “Uncertainty Quantification for Extreme Quantile Estimation with stochastic computer models” appeared in IEEE Transactions on Reliability.
  • (January 2021) Bingjie Liu successfully finished his PhD study in 2020 and joined Zhejiang University as a postdoc researcher.