Dr. Gerald Friedland is principal data scientist with Lawrence Livermore National Lab and is also teaching as an adjunct professor at the Electrical Engineering and Computer Sciences department of UC Berkeley. Before that, he had been with the International Computer Science Institute for 10 years. His work focusses on multimedia signal processing and machine learning. Specifically, large-scale video retrieval, geo-location and also privacy. He is the lead figure behind the Multimedia Commons initiative, a collection of 100M images and 1M videos for research and has published more than 250 peer-reviewed articles in conferences, journals, and books. He also co-authored a textbook on multimedia computing with Cambridge University Press. He is the recipient of several research and industry recognitions, among them the European Academic Software Award and the Multimedia Entrepreneur Award by the German Federal Department of Economics. Dr. Friedland received his doctorate (summa cum laude) and master's degree in computer science from Freie Universitaet Berlin, Germany, in 2002 and 2006, respectively
    Winner (first prize) of the ACM Multimedia Grand Challenge 200