Prof. Demetri Terzopoulos ACM Fellow, IEEE Fellow Fellow of the Royal Society of London, Fellow of the Royal Society of Canada University of California, Los Angeles, USA

 

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 healthcare AI company. He graduated from McGill University, received his PhD degree ('84) in Artificial Intelligence from the Massachusetts Institute of Technology (MIT), and remained a Research Scientist at the MIT Artificial Intelligence Laboratory through 1985. He is or was a Guggenheim Fellow, a Fellow of the ACM, a Life Fellow of the IEEE, a Distinguished Fellow of the IETI, a Fellow of the Royal Society of London and 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, as well as IEEE's Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished Researcher Award for his pioneering and sustained research on deformable models and their applications. Deformable models, a term he coined, is listed in the IEEE Taxonomy. With his more than 400 published research papers and several volumes, primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life, the ISI and other indexes have listed him among the most highly-cited authors in engineering and computer science. He has given more than 500 invited talks worldwide 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 Endowed 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. Prior to becoming an academic in 1989, he was a Program Leader at Schlumberger corporate research centers in California and Texas.

 

 

Prof. Ling Liu IEEE Fellow Georgia Institute of Technology, USA

 

Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in the Distributed Data Intensive Systems Lab (DiSL), examining various aspects of large scale big data-powered artificial intelligence (AI) systems, and machine learning (ML) algorithms and analytics, including performance, availability, privacy, security and trust. Prof. Liu is an elected IEEE Fellow, a recipient of IEEE Computer Society Technical Achievement Award (2012), and a recipient of the best paper award from numerous top venues, including IEEE ICDCS, WWW, ACM/IEEE CCGrid, IEEE Cloud, IEEE ICWS. Prof. Liu served on editorial board of over a dozen international journals, including the editor in chief of IEEE Transactions on Service Computing (2013-2016) and currently, the editor in chief of ACM Transactions on Internet Computing (TOIT). Prof. Liu is a frequent keynote speaker in top-tier venues in Big Data, AI and ML systems and applications, Cloud Computing, Services Computing, Privacy, Security and Trust.

 

Prof. Zhongsheng Hou (侯忠生教授) IEEE Fellow Qingdao University, China

 

Dr. Zhongsheng Hou received Bachelor’s and Master’s degrees from Jilin University of Technology, China, in 1983 and 1988, respectively, and Ph.D. degree from Northeastern University, China, in 1994. He was a Postdoctoral Fellow with Harbin Institute of Technology, China, from 1995 to 1997 and a Visiting Scholar with Yale University, CT, from 2002 to 2003. In 1997, he joined the Beijing Jiaotong University, China, where he is a distinguished professor and founding director of advanced Control Systems Lab, and Head of Department of Automatic Control. He is also the founding director of the Technical Committee on Data Driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation. He is an IFAC Technical Committee Member on both “Adaptive and Learning Systems” and “Transportation Systems.” His research interests include the fields of data-driven control, model-free adaptive control, learning control, and intelligent transportation systems. Prof. Hou’s original work on Model Free Adaptive Control has been recognized by over 150 different field applications including wide-area power system, lateral control of autonomous vehicle, temperature control of silicon rod, etc., and his pioneering contributions in Data Driven Control & Learning Control have been recognized by multiple projects supported by the National Natural Science Foundation of China (NSFC), including two key projects of NSFC, 2009 and 2015 respectively, and a major international cooperation project of NSFC, 2012, and by his leading role as a Guest Editor in two Special Sections on the topic of data-driven control in the IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, and the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017. Up to now, he has over 160 peer-reviewed journal papers published and over 140 papers in prestigious conference proceedings. He is the author of two monographs Nonparametric Model and its Adaptive Control Theory, Science Press, 1999, (in Chinese) and Model Free Adaptive Control: Theory and Applications, CRC Press, 2013.