Keynote Speaker

 

Prof. Chen Changwen
The Hong Kong Polytechnic University, China

Member of Academia Europaea, Fellow of IEEE, Fellow of SPIE
Chair Professor of Visual Computing

Speech Title: New Paradigm in Visual Computing: From Algorithms to Systems with New Technical Challenges

Abstract: Visual computing, traditionally, is a generic term for all computer science disciplines dealing with images, videos, and other types of visual data. These disciplines mainly include computer graphics, image processing, visualization, computer vision, virtual and augmented reality, and video analytics. This talk shall analyze contemporary visual computing systems from several systematic perspectives. First, contemporary visual data acquisition has shifted from the laboratory in the early days to the fields in recent years with new technical challenges emerging on the visual sensing front. Second, massive visual data acquired for a very diverse range of applications require high-performance computation of visual data via cloud computing. Such extension of visual computing to both the front-end and the back-end of the contemporary system now demands pervasive networking to effectively transport such volumetric visual data back and forth. Therefore, the networking of visual data has now become a critical component in the new paradigm of contemporary visual computing systems which has not been adequately studied before. The investigation of visual computing systems now needs to be vitally deepened to facilitate the researchers to traverse across new domains of exploitation. Several examples of emerging applications with unique design principles will be presented to illustrate the technical challenges we are facing and the potential broad impacts that contemporary visual computing systems are capable of creating in this new era.

Biography: Chang Wen Chen received his BS from the University of Science and Technology of China in 1983, MSEE from the University of Southern California in 1986, and Ph.D. from the University of Illinois at Urbana-Champaign in 1992. He is currently Chair Professor of Visual Computing at The Hong Kong Polytechnic University. Before his current position, he served as Dean of the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen from 2017 to 2020. He also served as an Empire Innovation Professor at the University at Buffalo, the State University of New York from 2008 to 2021. He was Allen Henry Endow Chair Professor at the Florida Institute of Technology from 2003 to 2007. He was on the faculty of Electrical and Computer Engineering at the University of Rochester from 1992 to 1996 and on the faculty of Electrical and Computer Engineering at the University of Missouri-Columbia from 1996 to 2003.

He has served as the Editor-in-Chief for IEEE Trans. Multimedia from January 2014 to December 2016, and the Editor-in-Chief for IEEE Trans. Circuits and Systems for Video Technology from January 2006 to December 2009. He has been an Editor for several other major IEEE Transactions and Journals, including the Proceedings of IEEE, IEEE Journal of Selected Topics in Signal Processing, IEEE Journal of Selected Areas in Communications, and IEEE Journal of Emerging and Selected Topics in Circuits and Systems. He has chaired several major IEEE, ACM, and SPIE conferences that are related to multimedia communications and signal processing.

He and his students have received 10 Best Paper Awards or Best Student Paper Awards. He has also received several research and professional achievement awards. These include the Sigma Xi Excellence in Graduate Research Mentoring Award in 2003, the Alexander von Humboldt Research Award in 2010, the University at Buffalo Exceptional Scholar – Sustained Achievement Award in 2012, the SUNY System Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2016, and the University of Illinois ECE Distinguished Alumni Award in 2019.

His research interests include multimedia communication, multimedia systems, Internet of Video Things (IoVT), image/video processing, computer vision, deep learning, multimedia signal processing, and immersive mobile video. He is an IEEE Fellow (2005), a SPIE Fellow (2007), and a member of the Academia Europaea (2021).