Keynote Speakers of AIVR2021
Prof. Demetri
Terzopoulos
Biography: Demetri Terzopoulos is a
Distinguished Professor and Chancellor's
Professor of Computer Science at the University
of California, Los Angeles, where he directs the
UCLA Computer Graphics & Vision Laboratory. He
is also Co-Founder and Chief Scientist of
VoxelCloud, a multinational company that applies
artificial intelligence to healthcare. He
received his PhD degree ('84) in Artificial
Intelligence from MIT. He is or was a Guggenheim
Fellow, a Fellow of the ACM and IEEE, a Fellow
of the Royal Society of London and the Royal
Society of Canada, among other organizations.
His research is primarily in computer graphics,
computer vision, medical imaging, computer-aided
design, and artificial intelligence/life. His
many awards include an Academy Award for
Technical Achievement from the Academy of Motion
Picture Arts and Sciences for his pioneering
work on physics-based computer animation, and
IEEE's Computer Pioneer Award, Helmholtz Prize,
and inaugural Computer Vision Distinguished!
Prof. Dapeng Oliver Wu
Biography: Dapeng Oliver Wu received Ph.D. in
Electrical and Computer Engineering from
Carnegie Mellon University, Pittsburgh, PA, in
2003. Since 2003, he has been on the faculty of
Electrical and Computer Engineering Department
at University of Florida, Gainesville, FL, where
he is currently Professor. His research
interests are in the areas of networking,
communications, video coding, image processing,
computer vision, signal processing, and machine
learning.
Title: Tensor Product Generation Networks for
Deep NLP Modeling
Prof. Erik Meijering Biography: Erik Meijering is a Professor of Biomedical Image Computing at the University of New South Wales (UNSW) in Sydney, Australia. His research interests are in Computer Vision and Artificial Intelligence for Quantitative Biomedical Image Analysis, on which he has published more than 100 papers. He received his PhD degree in Medical Image Analysis from Utrecht University in 2000 and the MSc degree in Electrical Engineering from Delft University of Technology in 1996, both in the Netherlands. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and serves on the IEEE SPS Technical Committee on Bio Imaging and Signal Processing (BISP), the IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP), and the cross-Society IEEE Life Sciences Technical Community (LSTC). Over the years he was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), has co-edited various journal special issues and co-organized conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI) and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). He also served/serves on a great variety of other international conference, advisory, and review boards.
Title: Artificial Intelligence in Biomedical
Image Computing
Prof. Tak Wu Sam
Kwong Biography: Sam Kwong
received his B.Sc. degree from the State University of New York at
Buffalo, M.A.Sc. in electrical engineering from the University of
Waterloo in Canada, and Ph.D. from Fernuniversität Hagen, Germany.
Before joining the City University of Hong Kong (CityU), he was a
Diagnostic Engineer with Control Data Canada, where he was
responsible for designing diagnostic software to detect the
manufacturing faults of the VLSI chips in the Cyber 430 machine. He
later joined Bell Northern Research as a Member of Scientific Staff
working on the Integrated Services Digital Network (ISDN) project. Title:
Enhancing Video Coding by Data-driven Techniques
and Advanced Models |
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