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
Concepts and Trends in Autonomy for Robot-Assisted Surgery
P. Fiorini, K. Y. Goldberg, Y. Liu and R. H. Taylor, “Concepts and Trends in Autonomy for Robot-Assisted Surgery,” in Proceedings of the IEEE, vol. 110, no. 7, pp. 993-1011, July 2022, doi: 10.1109/JPROC.2022.3176828.
Gradient-based Algorithms for Convex Discrete Optimization via Simulation
Haixiang Zhang, Zeyu Zheng and Javad Lavaei, Gradient-based Algorithms for Convex Discrete Optimization via Simulation, Operations Research, 2022.
Dynamic Regret Bounds for Online Nonconvex Optimization
Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, and Javad Lavaei, Dynamic Regret Bounds for Online Nonconvex Optimization, to appear in IEEE Transactions on Control of Network Systems, 2022.
Selecting support pillars in underground mines with ore veins
(2020) Selecting support pillars in underground mines with ore veins, IISE Transactions, 52:10, 1173-1188, DOI: 10.1080/24725854.2019.1699978
Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents
Mastrolia, Thibaut & Zhang, Jiacheng. (2022). Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents.