Biography: Demetri Terzopoulos is a Chancellor's Professor of Computer Science at the University of California, Los Angeles, where he holds the rank of Distinguished Professor and directs the UCLA Computer Graphics & Vision Laboratory. He is also Co-Founder and Chief Scientist of VoxelCloud, Inc., a multinational company that applies AI to healthcare. He graduated from McGill University and received his PhD degree ('84) in Artificial Intelligence from MIT. He is or was a Guggenheim Fellow, a Fellow of the ACM, a Fellow of the IEEE, a Fellow of the Royal Society of London, a Fellow of the Royal Society of Canada, a member of the European Academy of Sciences and the New York Academy of Sciences, and a life member of Sigma Xi. 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 the inaugural Computer Vision Distinguished Researcher Award from the IEEE for his pioneering and sustained research on deformable models and their applications. ISI and other indexes list him among the most highly-cited authors in engineering and computer science, with more than 400 published research papers and several volumes, primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life. He has given approximately 500 invited talks around the world about his research, including well over 100 distinguished lectures and keynote/plenary addresses. He joined UCLA in 2005 from New York University, where he held the Henry and Lucy Moses Professorship in Science and was Professor of Computer Science and Mathematics at NYU's Courant Institute of Mathematical Sciences. Previously, he was Professor of Computer Science and Professor of Electrical & Computer Engineering at the University of Toronto. Before becoming an academic in 1989, he was a Program Leader at Schlumberger corporate research centers in California and Texas.
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.
Prof. Tak Wu Sam
Biography: Prof Kwong joined City University as a lecturer in the Department of Electronic Engineering in 1989. Before joining City University, he worked for Control Data Canada and Bell Northern Research as diagnostic engineer and member of Scientific Staff, respectively. At present, he is the associate editor of the IEEE transactions on Industrial Informatics and IEEE Transactions on Industrial Electronics, Journal of Information Sciences. He is also the Admissions Officer for the graduate programme in the Department.His research interests are evolutionary algorithms, pattern recognition, digital watermarking, video coding and network intrusion systems.