Research News
IEOR paper selected as finalist at the American Control Conference (ACC)
The paper titled “Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow” by IEOR PhD student SangWoo Park, ME PhD student Elizabeth Glista, associate professor Javad Lavaei, and assistant professor Somayeh Sojoudi has been selected to be a finalist at the 2020 American Control Conference (ACC). ACC accepts over 1,000 papers for…
Read MoreIEOR-led study shows government-funded research increasingly fuels innovation
New machine learning technique may help prevent blindness for millions of people with diabetes
Diabetic retinopathy (DR) is the most common cause of vision loss among people with diabetes and a leading cause of blindness. Right now, there are an estimated 415 million people suffering from diabetes worldwide, and this number is projected to grow to 642 million by 2040. Approximately one-third of diabetic patients have DR. While blindness…
Read MoreUC researchers show how better placement of defibrillators can save lives
Sudden cardiac arrest, which occurs when the heart unexpectedly stops beating, kills more than 400,000 people in the U.S. and Canada every year. Death happens within minutes if not treated, and 92 percent who suffer an attack outside of a hospital don’t survive. Alum and assistant professor of decisions, operations and technology management at UCLA,…
Read MoreIEOR research selected as finalist for 2019 American Control Conference
The paper titled “On the Exponential Number of Connected Components for the Feasible Set of Optimal Decentralized Control Problems” by IEOR PhD student Han Feng and associate professor Javad Lavaei has been selected to be a finalist at the 2019 American Control Conference (ACC). ACC accepts over 1000 papers for each conference and only five are selected…
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 MoreNew ambidextrous robot may redefine the warehouse
Research published in Science Robotics this week announced a new “ambidextrous” robot that could change the fundamentals of warehouse distribution. The robot, developed by researchers at the University of California, Berkeley’s Laboratory for Automation Science and Engineering features a suction cup gripper on one hand and a parallel-jaw gripper on the other, allowing the robot to choose the most…
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 MoreShmuel 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.”…
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…
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