Short Bio: Haibin Ling received B.S. and M.S. from Peking University in 1997 and 2000, respectively, and Ph.D. from the University of Maryland in Computer Science in 2006. From 2000 to 2001, he was an assistant researcher at Microsoft Research Asia. From 2006 to 2007, he worked as a postdoctoral scientist at UCLA. He then worked for Siemens Corporate Research as a research scientist. In 2008, he joined Temple University where he is now an Associate Professor. Dr. Ling's research interests include computer vision, medical image analysis, visual privacy protection, and human computer interaction. Dr. Ling received the Best Student Paper Award of ACM UIST in 2003 and the NSF CAREER Award in 2014. He has served as an Area Chair of CVPR 2014 and as a Guest Co-Editor for Pattern Recognition.
Call For Papers: Pattern Recognition Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition
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