Research News
Berkeley IEOR Undergrad Wins Best Student Paper Award at KDIR 2020
IEOR Undergraduate Jonathan Bodine (Class of ’21) and Professor Dorit Hochbaum won the Best Student Paper Award at the 12th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2020). The award winning work authored by Bodine and Hochbaum was titled The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees.…
Read MoreBerkeley IEOR researchers selected as Best Student Paper Award Finalists at IEEE Conference
The paper authored by Salar Fattahi, a recent IEOR PhD grad and incoming Assistant Professor at University of Michigan, Cedric Josz, a former IEOR/EECS postdoc and Assistant Professor at Columbia University, and Reza Mohammadi, an IEOR postdoc, along with Professors Javad Lavaei and Somayeh Sojoudi was selected as a Best Student Paper Award Finalist at…
Read MoreIEOR and ME researchers win best student paper award at 2020 American Control Conference
The Department of Industrial Engineering & Operations Research at the University of California, Berkeley is excited to announce that work jointly done by IEOR and ME student researchers has been awarded best student paper at the 2020 American Control Conference (ACC) for the paper titled “Homotopy Method for Finding the Global Solution of Post-contingency Optimal…
Read MoreIEOR 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…
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