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What's New:
September '14 -- Dr. Wang will deliver a keynote talk at the VISART: Where Computer Vision Meets Art workshop of the ECCV 2014 Conference.
June '13 -- Dr. Wang delivered a keynote talk at the Visual Analysis Beyond Semantics workshop of the CVPR 2013 Conference. October '12 -- Our paper on shape and the computability of emotions is published. (read the paper). April '12 -- IEEE Transactions on Pattern Analysis and Machine Intelligence spotlights our article on van Gogh's paintings. (read the paper). December '11 -- Professor Wang gave a talk at the Mathematics: Muse, Maker, and Measure of the Arts workshop in Banff. (photos) June '10 -- Our aesthetics research was featured on TV with over 47 million viewers in the US and over 200 million viewers internationally.  |
Biography of the PI: James Z. Wang has been on Penn State faculty since 2000, where he is Professor and Faculty Council Chair of the interdisciplinary College of Information Sciences and Technology. He is also Affiliated Professor of the Integrative Biosciences (IBIOS) Program (Option on Bioinformatics and Genomics, the Huck Institutes of the Life Sciences). He serves as the founding Co-Director of the Intelligent Information Systems Laboratory (2001-) and a member of the I3C and CyberSTAR infrastructures. He has been a recipient of an NSF Career award (2004-2009) and the endowed PNC Foundation Technologies Career Development Professorship (2000-2006). He has served as the lead guest editor of IEEE Trans. on Pattern Analysis and Machine Intelligence Special Section on Real-world Image Annotation and Retrieval (2008), the General Chair of the ACM Multimedia Information Retrieval (MIR) events (2006, 2007, and 2010, now named ICMR), an Associate Editor of IEEE Transactions on Multimedia (2009-2011), and an invited speaker at more than 70 institutions. He was a Visiting Professor of Robotics at Carnegie Mellon University (2007-2008). In 2011 and 2012, he was a Visiting Scientist and Program Manager in the Office of the National Science Foundation Director, where he managed US-China collaborations across all science and engineering disciplines, led a Foundation-wide program which supports early-stage collaborations with all countries, and was a member of the Open Access policy-making group. He has held visiting positions at IBM Almaden Research Center, SRI International, NEC Research, and Chinese Academy of Sciences. Wang received a summa cum laude Bachelor's degree in Mathematics and Computer Science from University of Minnesota where his thesis advisor was number theorist Dennis A. Hejhal. From Stanford University, he received an M.S. in Mathematics, an M.S. in Computer Science, and a Ph.D. in Medical Information Sciences where his Ph.D. thesis advisor was computer science pioneer Gio Wiederhold.
US Patents Awarded to Inventors of the Group:
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Studying aesthetics in photographic images using a computational approach
[2014]
7,941,009 Real-time computerized annotation of pictures [May 10, 2011]
7,929,805 Image-based CAPTCHA generation system [April 19, 2011]
7,394,947 System and method for automatic linguistic indexing of images by a statistical modeling approach [July 1, 2008]
6,633,817 Sequence database search with sequence search trees [October 14, 2003]
US Patents Pending:
--/---,---
TBA [2014 provisional]
--/---,---
Instance-weighted mixture modeling to enhance training collections
for image annotation [2014]
--/---,---
Parallel D2-clustering: Large-scale clustering of discrete distributions
[2013]
13/963,039
Automatically computing emotions aroused from images through shape modeling
[2013]
13/493,564
On-site composition and aesthetics feedback through exemplars for
photographers [June 11, 2012]
12/234,159
Tagging over time: Real-world image annotation by
lightweight metalearning [September 19, 2008]
PhD Study: information, apply now
James Z. Wang, Professor and Faculty Council Chair
College of Information Sciences and Technology |
This material is based upon work supported by the National Science Foundation. Any opinions,
findings, and conclusions or recommendations expressed in this
material are those of the author(s) and do not necessarily reflect the
views of the National Science Foundation. 