Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg. “DART: Noise Injection for Robust Imitation Learning“. 1st Conference on Robot Learning (CoRL). Mt. View, CA. Nov 2017. Proceedings of Machine Learning Research volume 78
Smart “Predict, then Optimize”
Adam N. Elmachtoub, Paul Grigas. Smart “Predict, then Optimize”. Management Science, forthcoming. https://arxiv.org/abs/1710.08005
Robust Shortest Path Problem with Distributional Uncertainty
Y. Zhang, S. Song, Z.J.M. Shen (2017). Robust Shortest Path Problem with Distributional Uncertainty. IEEE Transactions on Intelligent Transportation Systems, 2017, Available online: 10.1109/TITS.2017.2709798.
Optimizing Site Qualification Across the Supply Network at Western Digital
Bo Liao, Candace Arai Yano, and Shiva Esturi. Optimizing Site Qualification Across the Supply Network at Western Digital. Interfaces.
Sharing demand-side energy resources – A conceptual design
Qi, Wei & Shen, Bo & Zhang, Hongcai & Shen, Zuo-Jun Max, 2017. “Sharing demand-side energy resources – A conceptual design,” Energy, Elsevier, vol. 135(C), pages 455-465.
Service Region Design for Urban Electric Vehicle Sharing Systems
90. He, L., Mak, H. Y., Rong, Y., & Shen, Z. J. M. (2017). Service region design for urban electric vehicle sharing systems. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2016.0611.