Hideaki Nakao
Department of Industrial and Operations Engineering,
University of Michigan, Ann Arbor
Email: nakaoh@umich.edu
Department of Industrial and Operations Engineering,
University of Michigan, Ann Arbor
Email: nakaoh@umich.edu
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. His main research focus is on stochastic, robust, and distributionally robust optimization with applications to Markov Decision Processes and healthcare problems.
Ph.D candidate (September 2016 - present): University of Michigan, Ann Arbor, MI - Department of Industrial and Operations Engineering
Bachelor of Science (April 2011 - March 2015): Keio University, Tokyo, Japan - Faculty of Science and Technology, Department of Applied Physics and Physico-Informatics
Givens Associate Program, Argonne National Laboratory, 2020.
Rackham International Student Fellowship, 2017.
Mixed Integer Programming (MIP) Workshop Student Travel Award, 2017.
Rackham Travel Grant, University of Michigan, 2017.
Department Graduate Fellowship, University of Michigan, 2016.
Keio Engineering Foundation Award (summa cum laude), Keio University, Japan, 2015.
Department Chief Director Award (Thesis Poster Presentation Award), Keio University, Japan, 2015.
Keio University Scholarship, 2012, 2013 and 2015.
Nakao, H. , Jiang, R., Shen S., "Distributionally robust partially observable Markov decision process" under revision following second review in SIAM Journal on Optimization, September 2020.
Lu, M., Nakao, H. , Shen, S., "Nonprofit resource allocation with cross-subsidization under uncertain resource consumption," Omega 102191, 2020.
Nakao, H. , Shen, S., Chen, Z., "Network design in scarce data environment using moment-based distributionally robust optimization," Computers & Operations Research , 88(1), 44-57, 2017.
Nakao, H. , and Yamamoto, N., "Optimal control for perfect state transfer in linear quantum memory,"Journal of Physics B: Atomic, Molecular and Optical Physics , 50.6 (2017): 065501.
Nakao, H. , Jiang, R., Shen S., "Approximation methods for robust partially observable Markov decision process", INFORMS Annual Meeting, Seattle, WA October 2019.
Nakao, H. , Jiang, R., Shen S., "Distributionally robust partially observable Markov decision process", International Symposium on Mathematical Programming, Bordeaux, France, July 2018
Nakao, H. , Shen S., "Medical home-care delivery with time-dependent travel time", International Symposium on Mathematical Programming, Bordeaux, France, July 2018
Nakao, H. , Kucukyavuz, S., Shen, S., "On continuous mixing cuts for two-stage mean-risk stochastic mixed-integer programs", INFORMS Annual Meeting, Houston, TX, October 2017.
Nakao, H. , Kucukyavuz, S., Shen, S., "On continuous mixing cuts for two-stage mean-risk stochastic mixed-integer programs", Mixed Integer Programming Workshop, Canada, June 2017.
Nakao, H. , and Yamamoto, N., "Perfect state transfer for quantum memory by optimal control", Quantum Information Technology Symposium (QIT33), Japan, November 2015.