- Sequential decision making under uncertainty
- Distributionally robust optimization
Hideaki Nakao’s main research focus is on stochastic, robust, and distributionally robust optimization with applications to Markov Decision Processes and healthcare problems.
Academic Advisor: Siqian Shen
Position Sought: Research, Academia, Industry
- Student Lecturer (Fall 2019): IOE 202 – Introduction to Optimization Methods
Hideaki Nakao is a 5th year Ph.D. student at Department of Industrial and Operations Engineering University of Michigan, Ann Arbor, advised by Dr. Siqian Shen.