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 system, energy systems, robotics, and management.
Selected Publications
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
Association of Funding and Meal Preparation Time With Nutritional Quality of Meals of Supplemental Nutritional Assistance Program Recipients
Olfat M, Laraia BA, Aswani AJ. Association of Funding and Meal Preparation Time With Nutritional Quality of Meals of Supplemental Nutritional Assistance Program Recipients. JAMA Netw Open. 2021;4(6):e2114701. doi:10.1001/jamanetworkopen.2021.14701
Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow
T. Altun, R. Madani, A. Atamtürk, R.Baldick, A. Davoudi. Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow. BCOL Research Report 21.01, IEOR, University of California-Berkeley.
Deep Learning Can Significantly Accelerate Grasp-Optimized Motion Planning
Deep Learning Can Significantly Accelerate Grasp-Optimized Motion Planning. Jeffrey Ichnowski, Yahav Avigal, Vishal Satish, Ken Goldberg. Science Robotics Journal. V5(48), 18 Nov 2020. [Paper] [Video].