Alumni News

IEOR undergraduates selected as finalists for INFORMS Operations Research Prize

Three former Berkeley IEOR/ORMS undergraduate students, Liangyuan Na (B.A. Operations Research & Management Science ’18), Cong Yang (B.S. Industrial Engineering & Operations Research ’18), and Chi-Cheng Lo (B.S. Industrial Engineering & Operations Research ’18) are finalists in the INFORMS Undergraduate Operations Research Prize Competition. The students were advised by IEOR assistant professor Anil Aswani, and…

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Meet the Class of 2019: Senior Spotlights

The class of 2019 will soon graduate and venture off to make an impact in all areas of industry all over the the globe. But who are the class of 2019? Read on to learn more about some of our graduates, what they liked most about IEOR, and what they plan to do next. Chelsea…

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Prof. Goldberg invited to speak at NSF Engineering Directorate Advisory Board

Professor Goldberg will be speaking at the 2018 Fall Directorate for Engineering (ENG) Advisory committee (AdCom) meeting, sponsored by NSF. Professor Goldberg’s talk is titled “Are Artificial Intelligence and Robots a Threat… or an Opportunity?” He will further discuss the pros and cons of a future with AI. AdCom advises the Directorate for Engineering (ENG) on issues…

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Shmuel Oren awarded Berkeley Citation

IEOR professor of the graduate school Shmuel Oren has just been awarded the Berkeley Citation by Chancellor Carol Christ.  The Citation is one of the University of California, Berkeley’s highest awards, and is reserved for individuals “whose contributions go beyond the call of duty and whose achievements exceed the standards of excellence in their fields.”…

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Fairness in machine learning paper wins INFORMS 2018 Data Mining & Decision Analytics award

IEOR PhD student Matt Olfat’s and assistant professor Anil Aswani’s paper “Spectral algorithms for computing fair support vector machines” won the INFORMS 2018 Data Mining & Decision Analytics Workshop best student paper award. Olfat presented the paper at the INFORMS Annual Meeting in Phoenix. The paper can be found here. Abstract: Classifiers and rating scores are prone…

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