Speaker :  

Professor Dr. Theo Gevers,
Informatics Institute,
Faculty of Science,
University of Amsterdam,
The Netherlands
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About the Speaker : Theo Gevers is Professor of Computer Science at the University of Amsterdam, The Netherlands and a part-time Professor at the Computer Vision Centre (UAB),Barcelona, Spain. At the University of Amsterdam, he is a teaching director of the MSc of Artificial Intelligence. He currently holds a VICI-award (for excellent researchers from The Netherlands) from the Dutch Organization for Scientific Research (2008-2013). In 2005, he was awarded an ICREA full research professorship (for excellent researchers from Europe). He is CSO (Chief Scientific Officer) and founder of ThirdSight B.V., a spin-off of the Universityof Amsterdam. ThirdSight is a Dutch, Amsterdam based company which brings cutting edge computer vision technology within the reach of consumers. His main research interests are in the fundamentals of object recognition, colour image processing and human behaviour analysis in computer vision specifically in the theoretical foundation of geometric and photometric invariants, colour saliency, emotion recognition and head pose estimation. Theo Gevers has his scientific roots in two communities: colour (CIC, CGIV) and computer vision (ICCC, CVPR, ICIP, ICPR). In both communities he has been a chair of various conferences, actively involved in different programs, and has provided different tutorials. Notably, he is a general chair of the European Conference on Computer Vision (ECCV 2016), the Internet Imaging Conference (SPIE 2005, 2006), the Conference on Colour in Graphics, Imaging, and Vision (CGIV 2010, 2012), the Conference on Multimedia Content Access: Algorithms and Systems (SPIE 2007, 2008, 2010), the tutorial chair of the Conference on Multimedia & Expo (ICME 2005) and the poster chair of the Conference on Colour in Graphics, Imaging, and Vision (CGIV 2006). He is the co-organizer of the First International Workshop on Image Databases and Multi Media Search (1996), the International Conference on Visual Information Systems (1999, 2005), and the Conference on Multimedia & Expo (ICME, 2005). He is guest editor of the special issue on content-based image retrieval for the International Journal of Computer Vision (IJCV 2004) and the special issue on Colour for Image Indexing and Retrieval for the journal of Computer Vision and Image Understanding (CVIU 2004). He has published over 150 papers on image processing, image retrieval and computer vision. He is program committee member of a various number of conferences, and an invited speaker at major conferences. He is a lecturer of post-doctoral courses/tutorials given at various major conferences (ICCV, CVPR, ICIP, ICPR, ICIAP, SPIE, CGIV).

Speaker :  

Professor Dr. Bob Fisher,
University of Edinburgh,
Edinburgh,
UK
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About the Speaker : Prof. Robert B. Fisher received a B.S. with Honors (Mathematics) from California Institute of Technology (1974) and a M.S. (Computer Science) from Stanford University (1978). He received his PhD from University of Edinburgh (1987), investigating computer vision. Since then, Bob has been an academic at Edinburgh University, now in the School of Informatics, where helped found the Institute of Perception, Action and Behaviour. He is currently the Dean of Research in the College of Science and Engineering. His research covers topics in high level and 3D computer vision, focussing on reconstructing geometric models from existing examples (of industrial parts, buildings and people - the latter work has contributed to a spin-off company, Dimensional Imaging, in conjunction with Glasgow University). More recently, he has also been researching video sequence understanding, in particular attempting to understand observed behaviour. He also has a passion for on-line teaching and research resources for the computer vision community, leading to several well-used text and interactive exploration resources.

He has published or edited 11 books and about 260 peer-reviewed scientific articles, including 47 journal papers. He has been the principal investigator on about 5 million pounds of research funding, primarily from EPSRC and the EC. Most recently, he has become joint PI on a Wellcome Foundation Grant (350K pounds) to investigate 3D aspects of skin cancer, a co-investigator on a bat acoustic robotics project, which is using a novel 500 fps range sensor (340K pounds) and the coordinator of a project acquiring and analysing video data of fish over about 20 camera-years.

He is a Fellow of the Int. Association for Pattern Recognition (2008) and the British Machine Vision Association (2010).

Speaker :  

Professor Dr. David W. Jacobs,
University of Maryland,
College Park,
MD 20742
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About the Speaker : David W. Jacobs is a professor in the Department of Computer Science at the University of Maryland with a joint appointment in the University's Institute for Advanced Computer Studies (UMIACS). He received the B.A. degree from Yale University in 1982. From 1982 to 1985 he worked for Control Data Corporation on the development of data base management systems, and attended graduate school in computer science at New York University. From 1985 to 1992 he attended M.I.T., where he received M.S. and Ph.D. degrees in computer science. From 1992 to 2002 he was a Research Scientist and then a Senior Research Scientist at the NEC Research Institute. In 1998 he spent a sabbatical at the Royal Institute of Technology (KTH) in Stockholm, and in 2008 spent a sabbatical at the Ecole normale supérieure de Cachan. In 2002, he joined the CS department at the University of Maryland.

Dr. Jacobs' research has focused on human and computer vision, especially in the areas of object recognition and perceptual organization. He has also published articles in the areas of motion understanding, memory and learning, computer graphics, human computer interaction, and computational geometry. He has served as an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence, and has assisted in the organization of many workshops and conferences, including serving as Program co-Chair for CVPR 2010. He and his co-authors received honorable mention for the best paper award at CVPR 2000. He also co-authored a paper that received the best student paper award at UIST 2003. In collaboration with researchers at Columbia University and the Smithsonian Institution he created Leafsnap, an app that uses computer vision for plant species identification, for which he and his collaborators have been awarded the 2011 Edward O. Wilson Biodiversity Technology Pioneer Award.

Speaker :  

Professor Dr. Filip Sroubek,
Academy of Sciences,
Czech Republic
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About the Speaker : Dr. Filip Sroubek received a B.S. degree and a M.S. degree in electrical engineering from the Czech Technical University, Prague, Czech Republic in 1996 and 1998, respectively. He received his Ph.D. degree in computer science from Charles University, Prague, Czech Republic in 2003. From 2004 to 2006, he was on a postdoctoral position in the Instituto de Optica, CSIC, Madrid, Spain. In 2010 and 2011, he was the Fulbright Visiting Scholar at the University of California, Santa Cruz. He received a prestigious national award (Wichterle premium) of the Academy of Sciences for young scientists in 2008.

He is currently with the Institute of Information Theory and Automation as the head of the Department of Image Processing and partially also with the Institute of Photonics and Electronics, where both institutes are part of the Academy of Sciences of the Czech Republic. His research covers all aspects of image processing, in particular, image restoration (denoising, blind deconvolution, super-resolution) and image fusion (multimodal, multifocus).

He is an author of 7 book chapters and over 80 journal and conference papers. In addition, he co-authored 6 tutorials presented at major international conferences (such as CVPR and ICIP). He is a member of IEEE and Czech Association for Cybernetics.

Speaker :  

Professor Dr. Abdul Quaiyum Ansari,
Jamia Millia Islamia,
New Delhi,
INDIA
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About the Speaker : Dr. Abdul Quaiyum Ansari is a Professor in the Department of Electrical Engineering at JamiaMilliaIslamia, New Delhi, where he has also served in the capacity of Head of the Department for three years during May 2008 – May 2011. He has also served as Professor and Head, Department of Computer Science (March 2001 – August 2004), and as Dean, Faculty of Management Studies and Information Technology (Nov. 2002 – August 2004) at JamiaHamdard (Hamdard University), New Delhi.

Prof. Ansari did his B. Tech. from AMU, Aligarh, and received the M. Tech. and Ph. D. degrees from IIT Delhi and JMI, New Delhi, respectively. His researches are in the areas of Computer Networks, Networks-on-Chip, Image Processing and Fuzzy Logic. He has edited one book on “The Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions”and has published about 110 peer reviewed research articles including 40 Journal papers. He has been the Principal Investigator on one successfully completed AICTE funded project and has been working on another Major Research Project of UGC on Networks-on-Chip area. He is the recipient of the RajarambapuPatil National Award for Promising Engineering Teacher for Creative Work done in Technical Education for the Year 2011.

Prof. Ansari is a Fellow of the Institution of Engineers (India), the National Telematics Forum, India, and the IETE. He is a Senior Member of the Computer Society of India (CSI) and the IEEE (USA). Prof. Ansari is currently the Chairman of the IEEE–Computational Intelligence Society, Delhi Chapter, and Chair of the Standing Committee on Technical and Professional Activities, IEEE-Delhi Section. He can be reached at aqansari@ieee.org.