Data-driven modeling in optimization
- Inverse optimization
- Inverse reinforcement learning
- Statistical machine learning
Optimization under uncertainty
- Robust optimization
- MDP and POMDP
Applications to healthcare
- Disease screening
- Cancer (radiation) therapy
- Organ transplantation
- Lifestyle management, etc.
Awards & Honors:
INFORMS UH Faculty Advisor
D. Mildebrath, T. Lee, S. Sinha, A. J. Schaefer, A. O. Gaber, “Characterizing rational transplant program response to outcome-based regulation,” Operations Research, Forthcoming, 2021.
T. Ajayi, T. Lee, A. J. Schaefer, “Objective selection for cancer treatment: An inverse optimization approach,” Operations Research, Forthcoming, 2021.
Z. Shahmoradi, T. Lee, “Quantile inverse optimization: Improving stability in inverse linear programming,” Operations Research, Forthcoming, 2021.
A. Babier, T. C. Y. Chan, T. Lee, R. Mahmood, D. Terekhov, “An ensemble learning framework for model fitting and evaluation in inverse linear optimization,” INFORMS Journal on Optimization, 2021.
T. C. Y. Chan, T. Lee, D. Terekhov, “Inverse optimization: Closed-form solutions, geometry and goodness of fit,” Management Science, 65 (3), 1115-1135, 2019.
K. Ghobadi, T. Lee, H. Mahmoudzadeh, D. Terekhov “Robust inverse optimization,” Operations Research Letters, 46 (3), 339-344 (authors ordered alphabetically), 2018.
O. Tavaslioglu, T. Lee, S. Valeva, A. J. Schaefer, “On the structure of the inverse-feasible region of a linear program,” Operations Research Letters, 46 (1), 147-152, 2018.
T. C. Y. Chan, T. Lee, “Trade-off preservation in inverse multi-objective convex optimization,” European Journal of Operational Research, 270 (1), 25-39 (authors ordered alphabetically), 2018.
J. J. Boutilier, T. Lee, T. Craig, M. B. Sharpe, T. C. Y. Chan, “Models for predicting objective function weights in prostate cancer IMRT,” Medical Physics, 42 (4), 1586–1595, 2015.
T. C. Y. Chan, T. Craig, T. Lee, M. B. Sharpe, “Generalized inverse multi-objective optimization with application to cancer therapy,” Operations Research, 62 (3), 680–695 (authors ordered alphabetically), 2014.