UC Berkeley Researchers Offer a Smarter Way to Price With Stability and Impact in Mind

UC 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 More

Zeyu Zheng Receives Peter D. Welch Early Career Award

Zeyu Zheng headshot

Zeyu Zheng has been honored with the inaugural Peter D. Welch Early Career Award by the INFORMS Simulation Society (I-SIM). This award recognizes early-career researchers for their exceptional contributions to the field of simulation. Zheng received the award at the December 2024 Winter Simulation Conference, where he and his co-authors also won the Best Theoretical…

Read More

Ancient Wisdom: Exploring the Intersection of AI, Art, and Nature

Tiffany Shlain and Ken Goldberg's Ancient Wisdom, installation view 2024, photo by Stefanie Atkinson Schwartz, Courtesy of Skirball Cultural Center

The cover of the winter 2025 edition of Berkeley IEOR Magazine showcases artwork from Ancient Wisdom: Trees, Time, and Technology, an exhibition by Ken Goldberg and Tiffany Shlain currently on view at the Skirball Museum in Los Angeles through March 2, 2025. Part of the Getty Museum’s city-wide Pacific Standard Time quadrennial, the exhibit examines…

Read More

Berkeley IEOR PhD students Win Best Theoretical Paper Award

Photo of Haoting Zhang, the paper's first author, receiving the award plaque during the conference.

Berkeley IEOR PhD students Haoting Zhang, Jinghai He, and recent alum Jingxu Xu (PhD ’24) were honored with the Best Theoretical Paper Award at the 2024 Winter Simulation Conference held in Orlando, Florida. Their award-winning paper, Enhancing Language Models with Both Human and Artificial Intelligence Feedback Data, explores innovative methods to improve AI performance through…

Read More

Training Smarter AI: New Research Integrates Human and Machine Feedback

Abstract representation of artificial intelligence featuring

AI models rely heavily on feedback to refine their outputs and meet user needs. While human feedback is highly effective, it is often expensive, time-intensive, and limited by data privacy constraints. For example, training an AI system to detect early signs of cancer in medical scans relies on radiologists to verify predictions and provide annotations.…

Read More

Berkeley IEOR Professor Javad Lavaei Delivers Keynote Address at IEEE ISSE 2024

javad lavaei Headshot

Professor Javad Lavaei delivered a keynote address at the 2024 IEEE International Symposium on Systems Engineering (ISSE), held in Italy this October. The annual event convenes experts to discuss advancements in systems engineering, a field that spans multiple disciplines and focuses on the development and management of complex systems. In his keynote, titled “Learning of…

Read More

Robots could help close surgeons’ skill gaps and improve patient outcomes

Headshot KG Ambi 150dpi sm 0

by Rachel Level, College of Computing, Data Science, and Society Robots could soon play a larger role in surgery thanks to recent AI developments, experts said in a new Science Robotics paper published today. Advances in generative AI and other areas could enable robots to assist human surgeons during certain tasks that require significant dexterity…

Read More