2014 ICCE-TW Keynotes
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- Published: Tuesday, 08 October 2013 07:05
- Written by Super User
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Prof. Mihaela van der Schaar IEEE Fellow Chancellor's Professor of Electrical Engineering at University of California, Los Angeles. |
Abstract:
As the world becomes evermore connected and instrumented, decision-makers have ever more rapid access to ever changing and growing streams of data – but this makes the decision-maker’s problems ever more complex as well, because it is impossible to learn everything in the time frame in which decisions must be made. What the decision-maker must do, therefore, is to discover in real time what is relevant in the enormous stream of data and use the relevant information to make good decisions. This talk presents a systematic framework and associated algorithms that enable a decision-maker to do this. The algorithms we propose yield strong performance guarantees for both the long run and the short run. The applications are numerous and include patient monitoring, online recommendation systems, social networks, targeted advertisement, surveillance, network security, finance etc.
Bio:
Mihaela van der Schaar is Chancellor's Professor of Electrical Engineering at University of California, Los Angeles. She is an IEEE Fellow, a Distinguished Lecturer of the Communications Society for 2011-2012, the Editor in Chief of IEEE Transactions on Multimedia and a member of the Editorial Board of the IEEE Journal on Selected Topics in Signal Processing. She received an NSF CAREER Award (2004), the Best Paper Award from IEEE Transactions on Circuits and Systems for Video Technology (2005), the Okawa Foundation Award (2006), the IBM Faculty Award (2005, 2007, 2008), the Most Cited Paper Award from EURASIP: Image Communications Journal (2006), the Gamenets Conference Best Paper Award (2011) and the 2011 IEEE Circuits and Systems Society Darlington Award Best Paper Award. She received three ISO awards for her contributions to the MPEG video compression and streaming international standardization activities, and holds 33 granted US patents. She is also the founding director of the UCLA Center for Engineering Economics, Learning, and Networks (see netecon.ee.ucla.edu). Her research interests include engineering economics and game theory, multi-agent learning, online learning, decision theory, network science, multi-user networking, big data and real-time stream mining, and multimedia.
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Prof. Homer H. Chen Distinguished Professor of Department of Electrical Engineering at National Taiwan University. |
Abstract:
Ubiquitous projection, meaning being able to project an image anywhere, is no longer a fiction. With an embedded projector, mobile or wearable devices can project an image on any nearby surface such as wall, desktop, floor, clothes, or palm. Although the miniature of projection technology brings about a new form of social interaction and augmented reality, ubiquitous projection is not free of challenges due to the fact that most surfaces in our living environment are not conditioned for image projection. Besides geometric deformation, color distortion is inevitably introduced to the projection. In this talk, I will focus on radiometric compensation for ubiquitous projection and give an overview of the calibration techniques for static and moving projectors and the techniques for combating the limited gamut and dynamic range of physical devices. Then I will show how a perception-inspired computational paradigm can drive ubiquitous projection to an unprecedented performance level.
Bio:
Homer H. Chen (M’86-SM’01-F’03) received the Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign.
Dr. Chen is a renowned expert in multimedia signal processing and communications. His professional career has spanned across academia and industry. Since August 2003, he has been with the College of Electrical Engineering and Computer Science, National Taiwan University, where he is Irving T. Ho Chair Professor. Prior to that, he held various R&D management and engineering positions with U.S. companies over a period of 17 years, including AT&T Bell Labs, Rockwell Science Center, iVast, and Digital Island (acquired by Cable & Wireless). He was a U.S. delegate for ISO and ITU standards committees and contributed to the development of many new interactive multimedia technologies that are now part of the MPEG-4 and JPEG-2000 standards. His professional interests lie in the broad area of multimedia signal processing and communications.
Dr. Chen was an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology from 2004 to 2010, IEEE Transactions on Image Processing from 1992 to 1994, and Pattern Recognition from 1989 to 1999. He served as a Guest Editor for IEEE Transactions on Circuits and Systems for Video Technology in 1999 and for IEEE Transactions on Multimedia in 2011. He is a guest editor of the upcoming Special Issue on Perception-Inspired Video Processing for IEEE Journal of Selected Topics in Signal Processing in 2014.