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Keynote Speakers

Prof. Alfred M. Bruckstein

Ollendorff Chair in Science
Technion, IIT, Israel

Alfred M. Bruckstein holds a BSc and MSc in Electrical Engineering from Technion - Israel Institute of Technology, Haifa, Israel. His doctoral degree, also in Electrical Engineering, is from Stanford University, California, USA. He is a Technion Ollendorff Professor of Science in the Computer Science Department. He has done research on Neural Coding Processes, Stochastic Point Processes, Estimation Theory, Scattering Theory, Signal and Image Processing, Computer Vision and Graphics, and Robotics. Over the years he has held visiting positions at Bell Laboratories (Murray Hill, NJ, USA), TsingHua University (Beijing, China), Nanyang Technological University (Singapore), and Karlsruhe University (Germany), and has made short-time visits to many universities and research centers worldwide. At Technion, he was the Dean of the Graduate School, and Head of the Technion Excellence Program. Prof. Bruckstein is SIAM Fellow for contributions to Signal and Image Processing and Ant Robotics. He is a recipient of Hershel Rich Technion Innovation Award for 2002 for the development of the Computerized Marionette Theater System. He holds an Honorable Mention of the Pattern Recognition Society for an Outstanding Contribution to the Pattern Recognition Journal. He was conferred Hershel Rich Technion Innovation Award for 1993, for the development of DigiDURER, a Digital Engraving System. His paper "Why the Ant Trails Look so Straight and Nice" was selected as one of the "top science stories in 1993" by Discover Magazine, in the field of Mathematics. The paper was also reviewed in Science Magazine and in the New Scientist and several other journals and newspapers worldwide.

Prof. Edwin R Hancock

Doctor Honoris Causa - University of Alicante
University of York, UK

Edwin R. Hancock holds a BSc degree in physics (1977), a PhD degree in high-energy physics (1981) and a D.Sc. degree (2008) from the University of Durham, and a doctorate Honoris Causa from the University of Alicante in 2015. From 1981-1991 he worked as a researcher in the fields of high-energy nuclear physics and pattern recognition at the Rutherford-Appleton Laboratory (now the Central Research Laboratory of the Research Councils). During this period, he worked on high energy physics experiments at the Stanford Linear Accelerator Center (SLAC) providing the first measurements of charmed particle lifetimes. He also held adjunct teaching posts at the University of Surrey and the Open University. In 1991, he moved to the University of York as a lecturer in the Department of Computer Science, where he has held a chair in Computer Vision since 1998. He leads a group of some 25 faculty, research staff, and PhD students working in the areas of computer vision and pattern recognition. His main research interests are in the use of optimization and probabilistic methods for high and intermediate level vision. He is also interested in the methodology of structural and statistical and pattern recognition. He is currently working on graph matching, shape-from-X, image databases, and statistical learning theory. His work has found applications in areas such as radar terrain analysis, seismic section analysis, remote sensing, and medical imaging. He has published about 170 journal papers and 610 refereed conference publications. He was awarded the Pattern Recognition Society medal in 1991 and an outstanding paper award in 1997 by the journal Pattern Recognition. He has also received best paper prizes at CAIP 2001, ACCV 2002, ICPR 2006, BMVC 2007 and ICIAP in 2009 and 2015. In 2009 he was awarded a Royal Society Wolfson Research Merit Award. In 1998, he became a fellow of the International Association for Pattern Recognition. He is also a fellow of the Institute of Physics, the Institute of Engineering and Technology, and the British Computer Society. In 2016 he became a fellow of the IEEE. He has been a member of the editorial boards of the journals IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Computer Vision and Image Understanding, and Image and Vision Computing. In 2006, he was appointed as the founding editor-in-chief of the IET Computer Vision Journal. He has been conference chair for BMVC in 1994 and 2016, Track Chair for ICPR in 2004 and 2016 and Area Chair at ECCV 2006 and CVPR in 2008 and 2014, and in 1997 established the EMMCVPR workshop series.

Prof. Marc van Kreveld

Professor, Division Virtual Worlds
Department of Information and Computing Sciences
Utrecht University, Netherlands

Marc van Kreveld is a professor in computational geometry and its applications at the Department of Information and Computing Sciences of Utrecht University, the Netherlands. Best known as a co-author of the textbook "Computational Geometry - Algorithms and Applications", he†leads the†Virtual Worlds†Division in Utrecht. His work was published in about 100 journal articles and 100 peer-refereed conference papers with over 150 co-authors. In addition to geometric algorithms, Prof. van Kreveld's research interests include GIScience, movement data algorithms, graph drawing, and puzzle design. The latter started as a hobby which made its way into his research and teaching in computational geometry and expanded to other puzzle types - like paper-based drawing puzzles and digital puzzles. Prof. van Kreveld played leading roles in many conferences: he has served as program committee co-chair of the International Symposium on Computational Geometry and the International Symposium on Graph Drawing, and organizing co-chair of CG Week, including the International Symposium on Computational Geometry. He has been invited speaker at the European Symposium on Algorithms (Wroclaw) and at the Workshop on Computational Geometry and Games (Kyoto). In addition, he is on the editorial board of four major journals: Computational Geometry - Theory and Applications, Journal of Computational Geometry, Journal of Spatial Information Science, and ACM Transactions of Spatial Algorithms and Systems. In 2016, Prof. van Kreveld has been elected for a member of the Steering Committee of Computational Geometry.

Prof. Christian Ronse

University Professor in Computer Science
Université de Strasbourg, France

Christian Ronse studied pure mathematics at the Université Libre de Bruxelles (Licence, 1976) and the University of Oxford (M.Sc., 1977; Ph.D., 1979), specializing in group theory. From 1979 to 1991 he was Member of Scientific Staff at the Philips Research Laboratory Brussels, where he conducted research on combinatorics of switching circuits, feedback shift registers, discrete geometry, image processing, and mathematical morphology. During the academic year 1991-1992 he worked at the Université Bordeaux-1, where he obtained his Habilitation diploma. Since October 1992, he has been Professor of Computer Science at the Université de Strasbourg (promotion to First Class in 2001, and to Exceptional Class in 2010). There he contributed to the development of a research group on morphological image analysis, and the teaching of image processing to students at various levels. His scientific interests include lattice theory, imaging theory, mathematical morphology, discrete topology and image segmentation.

Prof. Günter Rote

Institut für Informatik
Freie Universität Berlin, Germany

Günter Rote has been a Professor of Theoretical Computer Science at Freie Universitšt Berlin since 1999. He got his Ph.D. from the Technical University of Graz, Austria, in 1988 in the area of combinatorial optimization. By now, his main field of interest is computational geometry. He is a co-editor-in-chief of the "Journal of Computational Geometry", one of the four journals that specialize in this field and the only one that provides fully open access. His interests are manifold. He has worked on motion-planning problems both with a view on practical applicability (robot motion) as well as theoretically (leading to the solution of the Carpenter's rule problem: Every polygonal chain can be continuously unfolded without self-crossings while keeping edge lengths fixed). He likes to enlist the help of computers in his research. He has investigated the growth rate of the number of different polyominoes as the number of cells increases (Klarner's constant). With the help of a supercomputer, a team that includes professor Rote is holding the current record lower bound, establishing rigorously for the first time that this constant is bigger than 4. Professor Rote has been a visiting scientist at the University of Waterloo in 1990 and at Freie Universitšt Berlin in 1988/89.