Publications
UC 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 MoreOp-Ed: “Publish or Perish” in the Age of AI: Is Research Integrity at Risk?
Part of a new op-ed series featuring IEOR student voices, this piece is a collaboration between Alberto Gennaro (5th Year PhD), Grace He (3rd Year PhD), Ricky Huang (3rd Year PhD), and Jessica Zhao (1st Year PhD). Artificial intelligence (AI) is rapidly becoming a tool for academic research. It can draft abstracts, summarize papers, suggest…
Read MoreKen Goldberg named to National Academy of Engineering
The National Academy of Engineering has elected Ken Goldberg, a professor of industrial engineering and operations research (IEOR) at the University of California, Berkeley, to its membership—one of the highest professional distinctions in engineering. Election to the NAE honors individuals who have made outstanding contributions to engineering research, practice, or education, including advances in emerging…
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 MoreThe AI Supply Chain Whisperer
When Anthony Noguera arrived at UC Berkeley in the 1990s, he could not have foreseen that his graduate studies in industrial engineering and operations research would one day take him all over the world and allow him to redefine how global supply chains operate. After more than two decades at NVIDIA, Anthony is harnessing the…
Read MoreUC Berkeley IEOR Hosts Inaugural Tesla Case Competition on Global Sourcing Strategy
UC Berkeley IEOR Hosts Inaugural Tesla Case Competition on Global Sourcing Strategy The Department of Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley, hosted its inaugural Tesla Case Competition last month, bringing together more than 40 student teams to tackle one of the most pressing challenges in global operations today: managing…
Read MoreUC Berkeley IEOR-led Team Takes Second Place for Predictive Model Aiming to Improve Rail Safety
UC Berkeley IEOR PhD student Alberto Gennaro and his team are applying data-driven modeling to a problem that directly affects the safety and reliability of railroads: predicting when train wheels are likely to fail. Their project earned second place in the 2025 INFORMS Railway Applications Section Problem Solving Competition, which invites researchers and practioners to…
Read MoreUC Berkeley IEOR professor and alum earn international prize for breakthroughs in optimization
UC Berkeley Professor Alper Atamturk and UC Berkeley alum Andrés Gómez have been awarded the 2025 INFORMS Computing Society Prize, an honor recognizing outstanding contributions at the intersection of computing with operations research. They share the award with their collaborator Shaoning Han. The team is recognized for a sequence of five papers introducing new mathematical…
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