Ph.D. Students
- Tianyi Xu, Ph.D., Pre-Candidate (2023-present)
- Chenfei Li, Ph.D., Pre-candidate, (2022-present)
- Jaeshin Park, Ph.D., Candidate, (2021-present)
- Cheoljoon Jeong, Ph.D. Candidate, (2020-present)
- University of Michigan Energy Solutions (IES) Graduate Fellows (2024-2025)
- IOE Wilson Prize Winner (2023)
- IOE Bonder Fellowship recipient (2021-2022)
- Best Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision (with Ziang Xu)
- Best Student Paper Winner in the 2020 IISE Quality and Reliability Engineering subdivision
- Youngchan Jang, Ph.D., 2021
- Thesis title: “Data science in energy and environmental systems using multiple data sources”
- First Position: Korea Army Research Center for Future & Innovation (KARFI)
- Bingjie Liu, Ph.D., 2020
- Thesis title: “Simulation Parameter Calibration with Field Operational Data: Methods and Applications”
- Best Student Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision.
- Best Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision.
- First Position: Postdoctoral Researcher at Zhejiang University
- Qiyun Pan, Ph.D., 2019
- Thesis title: “Extreme Quantile Estimation and Uncertainty Quantification with Stochastic Simulation Models”
- Best Student Paper Finalist in the 2017 INFORMS Quality, Statistics and Reliability (QSR) section
- First position: Data Scientist at Precima
- Mingdi You, Ph.D., 2017
- Thesis title: “Statistical Models for Characterizing Heterogeneous Wake Effects in a Wind Farm”
- Best Student Paper award winner in 2015 INFORMS Data Mining Section
- First position: Quantitative Analyst at Ford Motor Company
- Youngjun Choe, Ph.D., 2016
- Thesis title: “Reliability Evaluation and Uncertainty Quantification with Stochastic Simulation Models”
- Best Paper Award in Energy Systems Track in the 2016 ISERC Conference
- Mary G. and Joseph Natrella Scholarship Award Recipient
- Best Paper Finalist in 2015 INFORMS Quality, Reliability and Statistics (QSR) Section
- First position: Assistant Professor at the Industrial and Systems Engineering Department of the University of Washington
Postdoc Researcher
- Yossi Cohen (Jan. 2023-Dec. 2024)
Master graduates
- Tianyi Zu, “Online change point detection for adaptive learning and monitoring”: 2022-present
- Lanxi Xu, “Functional calibration with big data”; 2021-2022
- Ziang Xu, “Parameter Calibration in Building Energy Simulation Models”; 2020-2021
- Best Paper Finalist in the 2021 IISE Data Analytics & Information Systems subdivision (with Cheoljoon Jeong).
- Shouran Li, “Nonparametric Importance Sampling Density with Stochastic Computer Models”; 2019-2020
- Ziqi Wang (Summer 2020), Industrial and Operations Engineering, “Bayesian optimization for simulation parameter calibration”; 2020
- Yanyi Song, “Characterization of Spatial Variations in Wind Farm”; 2015
- Xuan Wang, “Smart Binning in Stochastic Simulation”; 2014
- Youngchan Jang, “Online Learning for Electric Power Demand Prediction”; 2013
Undergraduate major projects directed:
- Gongyu Chen, “Functional clustering of building energy use patterns”; 2020
- Garrett Schaub, “Understanding Building Energy Simulation”; 2019
- Sejin Park and Steve Woo, “Spatial wind modeling and analysis”; 2019
- Kan Ito, “Reliability Analysis of Offshore Turbines”; 2015
- Chao Qin, “Wind Farm Design Optimization”; 2013
- Sean Locke, “Investigation of Wind Turbine Performance with Different Designs”; 2013
- Shijun Ma, “Nonlinear Control Optimization for Improvement of Wind Turbine Performance”; 2012
- David Kalinowski, “Investigation of the Effects of Airfoil on Wind Turbine Reliability”; 2011
- Carolina Rivera, “Understanding and Modeling Wind Turbine Operations; 2009- 2010