Research
Ying Cui named 2026 Hellman Fellow
The fellowship will support Cui’s work on computational methods for trustworthy, risk-aware digital twins that improve the safety and resilience of critical infrastructure. Ying Cui, an assistant professor in UC Berkeley’s Department of Industrial Engineering and Operations Research, has been named a 2026 Hellman Fellow. The fellowship recognizes promising early-career faculty and provides a $60,000…
Read MoreUC Berkeley IEOR welcomes new faculty member
Chenyang Zhong joins the department as a new assistant professor. His research develops mathematical and computational methods for stochastic modeling, inference, and optimization, addressing emerging challenges in modern operations research and machine learning. UC Berkeley’s Department of Industrial Engineering and Operations Research (IEOR) is pleased to welcome Chenyang Zhong as a new assistant professor. Zhong’s…
Read MoreThe art of grasping: Ken Goldberg featured in Berkeley Engineer magazine
UC Berkeley industrial engineering and operations research professor Ken Goldberg appears on the cover of the summer edition of Berkeley Engineer magazine in a feature exploring the evolving future of robotics, artificial intelligence and human creativity. Drawing on decades of pioneering research, Goldberg reflects on how advances in robotics will depend not only on AI,…
Read MoreYing Cui Receives NSF CAREER Award for Optimization Research
Ying Cui, an assistant professor in the Department of Industrial Engineering and Operations Research at University of California, Berkeley, has received the Faculty Early Career Development (CAREER) Award from the National Science Foundation. The CAREER Award is among the NSF’s most prestigious honors for early-career faculty. It will provide approximately $631,492 over five years to…
Read MoreUC Berkeley researchers tackle bidder collusion in high-stakes auctions
In recent years, economists and regulators have begun examining how artificial intelligence is being used to set prices and bids across a range of markets. In some sectors, including housing, companies rely on automated pricing systems that analyze market conditions and competitors’ data to recommend prices in real time. Supporters argue such tools improve efficiency,…
Read MoreProfessor Xin Guo’s Research Selected Among 50 Landmark Papers in Mathematics of Operations Research
A research paper by Professor and Department Chair Xin Guo has been selected as one of 50 landmark papers published in Mathematics of Operations Research (MOR), commemorating the journal’s 50th anniversary. Established in 1976, Mathematics of Operations Research is a quarterly, peer-reviewed journal that publishes foundational research in areas central to operations research, including optimization,…
Read MoreUC Berkeley professor flips the script on classroom AI
PupilBot pilot applies learning science to rethink how AI fits into undergraduate education As artificial intelligence becomes more prevalent in higher education, faculty in the Department of Industrial Engineering and Operations Research are examining how these tools can be integrated into undergraduate courses in ways that reinforce — rather than replace — student learning. Assistant…
Read MoreWhen AI Image Generators Refuse
New UC Berkeley benchmark examines the trade-off between safety and usability in text-to-image models Text-to-image (T2I) models have become a central part of today’s artificial intelligence ecosystem, powering tools that generate images from short text descriptions. As these systems grow more capable and widely deployed, concerns about safety have followed closely behind. Developers have introduced…
Read MoreHow AI prompting shapes accuracy, efficiency and cost
New UC Berkeley research maps how AI reasoning strategies affect accuracy, efficiency As large language models (LLMs) move from research labs into classrooms, offices and engineering workflows, “prompt engineering” has become a central practice for shaping how LLMs reason and respond. A new study led by UC Berkeley researchers goes beyond the general understanding that…
Read MoreIn Her Words: Professor Xin Guo, UC Berkeley IEOR’s New Chair, on Growth, Community and Discovery
In a wide-ranging Q&A, the new chair of UC Berkeley IEOR discusses leadership, the evolving role of IEOR in today’s rapidly evolving landscape, and the opportunities ahead for the UC Berkeley community Q: What does leadership mean to you in an academic context, especially within a field as dynamic as industrial engineering and operations research?…
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