Ming Jin received his PhD in EECS from Berkeley in 2017 and has been doing his postdoctoral research in IEOR since. He recently accepted the position of assistant professor at Virginia Tech’s Bradley Department of Electrical and Computer Engineering. In a conversation with the IEOR department, Ming shared his experiences at Berkeley and aspirations for…

Read More

Salar Fattahi is graduating from Berkeley in Spring 2020 with a Ph.D. in IEOR. Salar recently accepted an Assistant Professor position at the University of Michigan and in a conversation with the department, he shared his views on experiences at Cal and plans for the future. Tell us a bit about your childhood? Where did…

Read More

IEOR assistant professor Zeyu Zheng, joint with Xiaocheng Li, Yufeng Zheng, and Zhenpeng Zhou, have been selected as finalists for the 2018 MSOM Data Driven Research Competition. Xiaocheng and Zeyu will present their paper “Demand Prediction, Predictive Shipping, and Product Allocation for Large-scale E-commerce” at the INFORMS Annual Meeting in Phoenix. The paper can be…

Read More

IEOR Professor Lee W. Schruben recently received the Lifetime Professional Achievement Award (LPAA) by the Institute of Operations Research and the Management Sciences (INFORMS) Simulation Society, the highest honor given by the society. The award is given occasionally, at most once annually, to recognize major contributions to the field of simulation that are sustained over a…

Read More

Professor Rhonda Righter, along with her collaborators Ivo Adan (Eindhoven University of Technology) and Gideon Weiss (The University of Haifa), have been award the Best Paper Award at the 11th EAI | VALUETOOLS International Conference on Performance Evaluation Methodologies and Tools. The title of the paper was “FCFS Parallel Service Systems and Matching Models.” The…

Read More

Today, the New York Times featured research being conducted at the UC Berkeley Laboratory for Automation Science and Engineering (AUTOLAB) led by IEOR Professor Ken Goldberg. AUTOLAB is breaking new ground in the area of robot grasping by helping robots teach themselves to reliably grasp irregularly-shaped objects that they have never encountered before. The robot uses a neural network to analyze a…

Read More