Distinguished Lecture Series 2015/16
|Prof. Ching Y. Suen
BiographyProf. Ching Y. Suen is the Director of CENPARMI and the Honorary Concordia Chair on AI & Pattern Recognition. He received his Ph.D. degree from UBC (Vancouver) and his Master's degree from the University of Hong Kong. He has served as the Chairman of the Department of Computer Science and as the Associate Dean (Research) of the Faculty of Engineering and Computer Science of Concordia University.
Prof. Suen has served at numerous national and international professional societies as President, Vice-President, Governor, and Director. He has been the Principal Investigator or Consultant of 30 industrial projects. His research projects have been funded by the ENCS Faculty and the Distinguished Chair Programs at Concordia University, FCAR (Quebec), NSERC (Canada), the National Networks of Centres of Excellence (Canada), the Canadian Foundation for Innovation, and the industrial sectors in various countries, including Canada, France, Japan, Italy, and the United States.
Prof. Suen has published 5 conference proceedings, 12 books and more than 500 papers, and many of them have been widely cited while the ideas in others have been applied in practical environments involving handwriting recognition, thinning methodologies, and multiple classifiers. Prof. Suen is the recipient of numerous awards, including the Gold Medal from the University of Bari (Italy 2012), the IAPR ICDAR Award (2005), the ITAC/NSERC national award (1992), and the "Concordia Lifetime Research Achievement" and "Concordia Fellow" awards (2008 and 1998 respectively).
Prof. Suen is a fellow of the IEEE (since 1986), IAPR (1994), and the Academy of Sciences of the Royal Society of Canada (1995).Currently, he is the Editor-in-Chief of the journal of Pattern Recognition and an Adviser or Associate Editor of 5 journals. He is not only the founder of three conferences: ICDAR, IWFHR/ICFHR, and VI, but has also organized numerous international conferences including ICPR, ICDAR, ICFHR, ICCPOL, and others. In 1997, he created the IAPR ICDAR Awards, to honour both young and established outstanding researchers in the field of Document Analysis and Recognition.
|Beauty and the Computer||Nov. 10, 2015|
|Prof. Anil K. Jain|
BiographyAnil K. Jain is a University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University. He was appointed an Honorary Professor at Tsinghua University and WCU Distinguished Professor at Korea University. He received B.Tech. from Indian Institute of Technology, Kanpur in 1969 and M.S. and Ph.D. from Ohio State University in 1970 and 1973, respectively. His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer, Proc. IEEE, Encarta, Scholarpedia, and MIT Technology Review.
He is a recipient of Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award, IEEE W. Wallace McDowell award, IAPR King-Sun Fu Prize, IEEE ICDM Research Contribution Award, IAPR Senior Biometric Investigator Award, and the MSU Withrow Teaching Excellence Award. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991 and 2005) and served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence. He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE and was felicitated with the MSU 2014 Innovator of the Year Award.
Anil Jain has been assigned six U.S. patents on fingerprint recognition and two Korean patents on surveillance. His research has resulted in technologies for fingerprint recognition, tattoo image matching, facial sketch to photo matching, unconstrained face recognition and fingerprint obsfucation that have been licensed to IBM, Morpho and NEC .He served as an advisor to India's Aadhaar program that provides a 12-digit unique ID number to Indian residents based on their ten fingerprints and both iris images.
He currently serves as a member of the Forensic Science Standards Board (FSSB), co-organizer of program on Forensics (2015-2016) at the NSF Statistical and Mathematical Sciences Institute (SAMSI) and a member of the Latent Fingerprint Working Group of the American Association for the Advancement of Science (AAAS).
Refer to his homepage: http://www.cse.msu.edu/~jain/.
Michigan State University
|Who Goes There?|
Applications & Challenges of Face Recognition
|Dec. 14, 2015|
|Prof. Markus Gross|
BiographyMarkus Gross is a Professor of Computer Science at the Swiss Federal Institute of Technology Zürich (ETH), Head of the Computer Graphics Laboratory, and the Director of Disney Research, Zürich. He joined the ETH Computer Science faculty in 1994. His research interests include physically based modeling, computer animation, immersive displays, and video technology. Before joining Disney, Gross was director of the Institute of Computational Sciences at ETH. He received a master of science in electrical and computer engineering and a PhD in computer graphics and image analysis, both from Saarland University in Germany in 1986 and 1989. Gross serves on the boards of numerous international research institutes, societies, and governmental organizations. He received the Technical Achievement Award from EUROGRAPHICS in 2010, the Swiss ICT Champions Award in 2011 and the IEEE Visualization Technical Achievement Award in 2015. He is a fellow of the ACM and of the EUROGRAPHICS Association and a member of the German Academy of Sciences Leopoldina as well as the Berlin-Brandenburg Academy of Sciences and Humanities. In 2013 he received a Technical Achievement Award from the Academy of Motion Picture Arts and Sciences, the Konrad Zuse Medal of GI and the Karl Heinz Beckurts prize.
Swiss Federal Institute of Technology Zürich
|Physically Based Simulation for Film and Entertainment||Feb. 16, 2016|
|Technological Innovation for Entertainment||Feb. 17, 2016|
|Prof. Tieniu Tan|
BiographyTieniu Tan received his B.Sc. degree in electronic engineering from Xi'an Jiaotong University, China, in 1984, and his MSc and PhD degrees in electronic engineering from Imperial College London, U.K., in 1986 and 1989, respectively.
In October 1989, he joined the Department of Computer Science, The University of Reading, U.K., where he worked as a Research Fellow, Senior Research Fellow and Lecturer. In January 1998, he returned to China to join the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of the Chinese Academy of Sciences (CAS) as a full professor. He was the Director General of the CAS Institute of Automation from 2000-2007, and the Director of the NLPR from 1998-2013. He is currently Director of the Center for Research on Intelligent Perception and Computing at the Institute of Automation and also serves as Deputy Secretary-General of the CAS and the Director General of the CAS Bureau of International Cooperation. He has published more than 450 research papers in refereed international journals and conferences in the areas of image processing, computer vision and pattern recognition, and has authored or edited 11 books. He holds more than 70 patents. His current research interests include biometrics, image and video understanding, and information forensics and security.
Dr. Tan is a Member (Academician) of the Chinese Academy of Sciences, Fellow of The World Academy of Sciences for the advancement of sciences in developing countries (TWAS), an International Fellow of the UK Royal Academy of Engineering, and a Fellow of the IEEE and the IAPR (the International Association of Pattern Recognition). He is Editor-in-Chief of the International Journal of Automation and Computing. He has given invited talks and keynotes at many universities and international conferences, and has received numerous national and international awards and recognitions.
Institute of Automation Chinese Academy of Sciences
|Artificial Intelligence: Key to Chinese Manufacturing 2025||Mar. 22, 2016|
|Prof. Vijayakumar Bhagavatula|
BiographyProf. Vijayakumar (“Kumar”) Bhagavatula received his Ph.D. in Electrical Engineering from Carnegie Mellon University (CMU), Pittsburgh and since 1982, he has been a faculty member in the Electrical and Computer Engineering (ECE) Department at CMU where he is now the U.A. & Helen Whitaker Professor of ECE and the Associate Dean for the College of Engineering. He served as the Associate Head of the ECE Department and also as its Acting Department Head. Professor Kumar's research interests include Pattern Recognition and Coding and Signal Processing for Data Storage Systems and for Digital Communications. He has authored or co-authored over 600 technical papers, twenty book chapters and one book entitled Correlation Pattern Recognition. He served as a Topical Editor for Applied Optics and as an Associate Editor of IEEE Trans. Information Forensics and Security. Professor Kumar is a Fellow of IEEE, a Fellow of SPIE, a Fellow of Optical Society of America (OSA) and a Fellow of the International Association of Pattern Recognition (IAPR).
Carnegie Mellon University
|New Correlation Filter Designs and Applications||Jun. 22, 2016|
|Prof. Xiaofang Zhou|
BiographyProfessor Xiaofang Zhou is a Professor of Computer Science at The University of Queensland, Australia, leading the Data and Knowledge Engineering (DKE) Group at UQ. His research focus is to find effective and efficient solutions for managing, integrating and analyzing very large amount of complex data for business, scientific and personal applications. He has been working in the area of spatial and multimedia databases, data quality, high performance database systems and data mining. He is a Program Committee Chair for IEEE ICDE 2013, CIKM 2016 and a General Chair of ACM Multimedia 2015. He has been an Associate Editor of The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, World Wide Web Journal, Distributed and Parallel Databases, and IEEE Data Engineering Bulletin. He is the current Chair of IEEE Technical Committee on Data Engineering (TCDE).
The University of Queensland
|Making Sense of Spatial Trajectories||Jun. 29, 2016|