Posts Tagged ‘Anil Aswani’
Food stamps stretch farther when recipients have time to cook, IEOR & public health study finds
Aswani wins NSF CAREER award to study personalized disease management
The National Science Foundation has just announced that IEOR assistant professor Anil Aswani will receive a CAREER award of $500,000 to investigate personalized chronic disease management starting in fiscal year 2019. This Faculty Early Career Development Program (CAREER) award will contribute to the advancement of the national health and welfare by designing effective data-driven methods…
Read MoreArtificial intelligence could identify you and your health history from your step tracker
by Anil Aswani & Yoshimi Fukuoka (originally published in USA Today) Manufacturers say data stripped of identifying information is no privacy risk. But we found AI can overcome that. Time to update health privacy laws. Recent revelations about how social media giants misuse our personal data for profit have elevated the issue of privacy among Americans, but what…
Read MoreFairness In Machine Learning Research Featured In SIAM News
Research by IEOR assistant professor Anil Aswani and PhD student Matt Olfat was featured in the December 2018 news journal for the Society for Industrial and Applied Mathematics (SIAM). The article titled “Designing Algorithms to Increase Fairness in Artificial Intelligence” describes a novel approach to help make decisions made by artificial intelligence algorithms more fair…
Read MoreFairness 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…
Read MoreIEOR Graduate Students Creates New Exercise App Using Machine Learning
IEOR graduate students Mo Zhou and Yonatan Mintz are addressing exercise commitment issues with a new app that uses machine learning to adjust goals on a daily basis. Each New Year around 20% of Americans vow to lose weight, eat healthier, or exercise more. However, for many, this New Year’s resolution is one of the most difficult to keep. Work, school, and daily…
Read MoreExercising with Cal Fitness
While thousands of fitness apps are available, not much scientific research exists to show if these apps can actually help people achieve their exercise goals. That’s why industrial engineering and operations research Ph.D. students Yonatan Mintz and Mo Zhou, working with professor Anil Aswani, built a mobile health application and enrolled Berkeley staff and students as subjects in an on-campus study.…
Read MoreCan fitness apps make us fit?
Right now if you have a smartphone and an interest in living a more active lifestyle there are literally tens of thousands of fitness apps available that can help you track every step, set activity goals, and even play (or compete) with a friend. Surprisingly, despite the popularity and wide range of fitness apps —…
Read MoreAnil Aswani Wins Siebel Energy Institute Grant
May 6, 2016 The Siebel Energy Institute has just announced its 2016 research grant recipients which include IEOR Assistant Professor Anil Aswani. Recipients will receive $50,000 seed grants to develop energy science research. Anil will join Emmanuel Gobet and Philippe Drobinski from École Polytechnique in researching “Data Analytics and Stochastic Control for Optimal Management of Microgrid Generation and Storage…
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