10/25/2019 Researchers from the RADAR Lab have developed algorithms that can help with the diagnosis of diabetic retinopathy—the most common cause of vision loss among people with diabetes—by detecting features in retinal images with better than 97% accuracy.
9/9/2019 U.S. News & World Report - Berkeley Engineering's undergraduate program was again ranked third overall and the top public engineering school by U.S. News & World Report. Eight individual engineering programs were ranked among the top 5 in their respective fields, and all were in the top 10.
8/27/2019 - The Gates Foundation awarded a grant to Berkeley in July 2019 to support the scaled-up production of the LoaScope, a mobile phone-based microscope developed by bioengineering professor Daniel Fletcher and researchers in his bioengineering laboratory.
8/6/2019 - Berkeley engineers have created the fastest silicon-based, programmable two-dimensional optical phased array, which could improve medical imaging, optical communications and LiDAR sensors.
8/6/2019 - Jerome R. Singer, professor emeritus and a pioneer in the field of magnetic resonance imaging (MRI), passed away in July. Singer taught and conducted research in the electrical engineering and computer sciences and the biophysics departments at Berkeley for 25 years.
7/3/2019 - Anca Dragan and Javad Lavaei have been awarded the Presidential Early Career Award for Scientists and Engineers (PECASE). Newly hired faculty members Alvin Cheung and Barna Saha were also honored.
6/20/2019 - New research shows that cuts in federal funding for science might endanger the innovation that increasingly fuels the modern economy.
5/22/2019 - At two rainy commencement ceremonies, speakers called on graduates to draw on their Berkeley Engineering education to promote equity as well as innovation.
5/3/2019 - Thanks to cutting-edge machine learning techniques developed by IEOR’s Risk Analytics and Data Analysis Research (RADAR) Lab at UC Berkeley, millions of diabetic patients now have a cheaper and more accurate way to screen for eye disease.
5/1/2019 Artificial intelligence can identify individuals by correlating step data from activity trackers and smartphones with demographic data.