Optimization and Algorithms
UC 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…
Read MoreUC Berkeley Researchers Offer a Smarter Way to Price With Stability and Impact in Mind
With inflation, tariffs, and shifting consumer habits, setting the right price has never been more complicated or more crucial. But new research from UC Berkeley’s Department of Industrial Engineering and Operations Research suggests that simplicity might be the key to navigating today’s complex markets. In a recent study, Associate Professor Javad Lavaei, Professor Emeritus Max…
Read MoreProfessor Dorit Hochbaum Honored with 2024 Khachiyan Prize for Lifetime Achievement in Optimization
Professor Dorit S. Hochbaum of UC Berkeley’s Department of Industrial Engineering and Operations Research (Berkeley IEOR) has been awarded the 2024 Khachiyan Prize by the INFORMS Optimization Society. This award recognizes her extensive contributions to optimization, including her work on the design and analysis of algorithms and their applications across various domains. The Khachiyan Prize…
Read MoreA Game-Changing Algorithm for Building Better Teams
At the heart of many successful social networks, from community organizations to cutting-edge tech startups, and spanning across schools, hospitals, and research institutions, are cohesive teams working towards common objectives. However, selecting individuals for such teams can present computational challenges. Stepping up to address this challenge is Professor Dorit Hochbaum and her groundbreaking study, “A…
Read MoreAI4OPT In Its Third Year
AI4OPT In Its Third year The Artificial Intelligence Institute for Advances in Optimization is delivering a paradigm shift in automated decision-making September marked the third anniversary of The AI Institute for Advances in Optimization (AI4OPT). Established in 2021 with a $20 million grant from the National Science Foundation, this visionary institute is a collaborative effort,…
Read MoreAlper Atamturk Awarded Farkas Prize
IEOR Department Professor and Chair Alper Atamturk has received the 2023 Farkas Prize of the INFORMS Optimization Society, the leading international association for professionals in operations research, analytics, artificial intelligence, and other relevant fields. The Farkas Prize recognizes a mid-career researcher for outstanding contributions to the field of optimization, over the course of their career.…
Read MoreBerkeley IEOR Professor Ying Cui Receives NIH Award for Advancing Biomedical Data Learning
Berkeley IEOR professor Ying Cui was recently awarded an R01 grant from the National Institutes of Health (NIH)’s National Cancer Institute, titled “SCH: A New Computational Framework for Learning from Imbalanced Biomedical Data,” for her work aimed at developing new machine learning tools to address the challenge of learning from imbalanced biomedical data, setting the…
Read MoreNew research from Professor Anil Aswani Creates More Inclusive Data-Driven Decision-Making
New research from Professor Anil Aswani Creates More Inclusive Data-Driven Decision-Making Anil Aswani and Matt Olfat 2023 Optimization Hierarchy for Fair Statistical Decision Problems Annals of Statistics forthcoming. From healthcare to criminal justice and finance to education, powerful algorithms are being developed and applied to all levels of society for decision-making. While AI promises to…
Read MoreNew Meta-Algorithms Research Group formed as Part of NSF AI Institute for Advances in Optimization
Led by Distinguished Professor Dorit Hochbaum, the new Meta-Algorithms Research Group is advancing the AI Institute for Advances in Optimization mission by developing automatic algorithm/model selection for optimization problems and machine learning tasks. The group addresses real-world issues, including Vehicle Routing, Multi-Agent Pathfinding and Classification, Satisfiability (SAT), Travelling Salesperson Problem (TSP), and Planning. The Meta-Algorithms…
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