Posts Tagged ‘Featured’
Ingrid Ramirez selected for EDGE Consortium Scholars semiconductor program
Ingrid Ramirez, a fourth-year undergraduate in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley, is among 11 students nationwide selected for the EDGE Consortium’s flagship Scholars program. As part of the program, Ramirez joined peers from six leading universities for an immersive site visit to Burlington, Vermont, where participants…
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 MoreUC Berkeley IEOR Launches Summer Machine Learning and AI Research Program for High School Students
As artificial intelligence becomes increasingly central to industries ranging from finance to health care, understanding how AI systems work is becoming an important skill for the next generation of students and innovators. To help introduce these concepts early, the UC Berkeley Department of Industrial Engineering and Operations Research is launching a new summer program designed…
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 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 MoreAnnouncing the 2026 Jengyee Prize — Leadership for a Better World
Announcing the 2026 Jengyee Prize — Leadership for a Better World The 2026 Jengyee Prize – Leadership for a Better World is now accepting applications! This year, up to 2 prizes of up to $2000 each, will be awarded. The Jengyee Prize is open to all undergraduate students with a sophomore or higher standing,…
Read MoreUC Berkeley’s New Energy Analytics Course Bridges Data, Engineering and Policy
The Department of Industrial Engineering and Operations Research at University of California, Berkeley has launched a new graduate course this spring focused on the expanding role of analytics in the global energy sector. Offered as IND ENG 290, Energy Analytics introduces students to how quantitative methods are applied in energy markets, infrastructure planning and system…
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…
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