“Finite-context models for image compression”
Armando J. Pinho - University of Aveiro, Portugal
Armando J. Pinho was born in Lisbon, Portugal, in July 1964. He received the Electronics and Telecommunications Engineering degree from the University of Aveiro, Portugal, in 1988, the Master's degree in Electrical and Computers Engineering from IST, Technical University of Lisbon, Portugal, in 1991, the Ph.D. in Electrical Engineering from the University of Aveiro, in 1996, and the "Agregação" in Electrical Engineering in 2009, also from the University of Aveiro. He is currently an Associate Professor at the Department of Electronics, Telecommunications and Informatics (DETI) of the University of Aveiro, and the Director of IEETA, the Institute of Electronics and Telematics Engineering of Aveiro.
His current research interests include image coding, data compression and computational biology.
“Deterministic vs DSMC solvers for Boltzmann-Poisson dynamics of charged transport in nano structures and inverse problems in sharp profile reconstructions”
Irene M. Gamba - The University of Texas at Austin, USA
Irene M. Gamba was born in Mar del Plata, Argentina on February 1957.
She received Licenciatura en Matematicas degree in The University of Buenos Aires in 1981, and a Ph.D in Mathematics from The University of Chicago in 1989.
She is currently a Professor in Mathematics and Chair of the Applied Mathematics group at the Institute for Computational and Engineering Sciences (ICES), both at The University of Texas at Austin (1997 – present). She was an Associate Professor (1996-1997), Assistant Professor
(1994-1996) and NSF postdoctoral Fellow (1992-1994) at Courant Institute of Mathematical Sciences, New York University. She was also an Assistant Professor at The College of New Jersey, Trenton, NJ, (1991-1992); and a Visiting Assistant Professor at Purdue University, (1990-1991).
Her current interests are in nonlinear applied and numerical analysis and computational methods related to Partial and Integro Differential Equations in mathematical physics and statistical mechanics. Kinetic collisional theory, Boltzmann dissipative type equations with applications to non-equilibrium statistical modeling of rarefied gas and rapid granular flows and complex particle systems, charged particle systems and plasmas, semiconductor modeling at nano scales and inverse problems.
“3D from Video for Static and Dynamic Scenes”
Marc Pollefeys - ETH Zurich, Switzerland
Marc Pollefeys is a full professor in the Dept. of Computer Science of ETH Zurich since 2007 where he is the head of the Institute for Visual Computing and leads the Computer Vision and Geometry lab. Before joining ETH he was on the faculty from the Dept. of Computer Science of the University of North Carolina at Chapel Hill where he started as an assistant professor in 2002 and became an associate professor in 2005. Before this he was a postdoctoral researcher at the Katholieke Universiteit Leuven in Belgium, where he also received his M.S. and Ph.D. degrees in 1994 and 1999, respectively. His main area of research is computer vision. One of his main research goals is to develop flexible approaches to capture visual representations of real world objects, scenes and events. Dr. Pollefeys has received several prizes for his research, including a Marr prize, an NSF CAREER award, a Packard Fellowship and a European Research Council Starting Grant. He is the author or co-author of more than 150 peer-reviewed publications. He is a General Chair for the upcoming European Conference on Computer Vision 2014 and 3DIMPVT2012, was a Program Chair for the IEEE Conference on Computer Vision and Pattern Recognition 2009, was general/program co-chair of the Third Symposium on 3D Data Processing, Visualization and Transmission and has organized workshops and courses at major vision and graphics conferences and has served on the program committees of many conferences. Prof. Pollefeys is/was on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence, the International Journal of Computer Vision and the Encyclopedia of Computer Vision.
“Thoracic image processing for nanoparticle delivery”
Marc Thiriet - Universite Pierre et Marie Curie (Paris VI), France
Marc Thiriet was graduated with an MD in 1978 from the Faculty of Medicine St Antoine of the University Pierre et Marie Curie (Paris VI; Paris Universitas). In 1981, he obtained "Cycle~3 Doctorat" in Biomechanics from Compiègne University of Technology and in 1994 "Habilitation à Diriger des Recherches" from the Physics Department of University Denis Diderot (Paris VII). In parallel he practiced medicine from 1979 to 1987 in the Lung Disease Department at the regional hospital of Pontoise. From 1976 to 1983, he was a researcher at INSERM U68 and Compiègne University of Technology. In 1983, he joined the Centre National de la Recherche Scientifique (CNRS) and in 1990 he became a research collaborator at INRIA. From summer 1987 to winter 1988, he was a researcher at the Department of Aeronautics of Imperial College in London and again during 6 months in 1992, at the Center for Biological and Medical Sciences (CBAMS). He is now coleader of INRIA project-team REO that is bilocalised both at Rocquencourt Research Unit and Jacques-Louis Lions Laboratory (CNRS 7598, Paris Universitas). In addition, he was coordinator of INRIA Associate Team"CFT" with Canada and Taiwan, and still is for international ERCIM working group "IM2IM". He also was a member of the ``Biology'' Panel in the framework of the french National Strategy for Research and Innovation (SNRI) in 2009; is Scientific Counsellor at the INRIA International Relation Direction;
member of the Mathematical Research Center (CRM) in Quebec Province (Canada); as well as of the HPC-Europa-2 Committee (for chemistry, biology, and health aspects) and Editorial Board member of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE, since 2006). He is also President of the french committee for Intensive Computation in Biology and Medicine (GENCI,
since 2008). He experimentally and numerically investigates biological flows (3D periodic flows of incompressible Newtonian or shear-thinning fluid in deformable imaged-based domains), now incorporating biological aspects (e.g., multiscale modeling). He is the author of Biology and Mechanics of Blood Flows and
Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems (8 books to be soon
“Towards Human-Sequence Evaluation”
Xavier Roca Marvà - Autonomous University of Barcelona, Spain
Xavier Roca Marva received the degree in Computer Sciences in 1990
and the PhD degree in Computer Sciences in 1998 from the Universitat Autònoma de Barcelona.
Since 1993 he is an associate professor at the Computer Sciences Department of the Universitat
Autonoma de Barcelona and a staff researcher of the Computer Vision Center. He has participated in a several projects in computer vision, with private and public founds.
In 2002, with other members of the Computer Vision Center create a spin off from the results of a research projects. His current research field is computer vision and more precisely, tracking and activity
recognition. He has published 30 papers in national and international conferences
and journals. From 1998-2003 he was marketing director of the Computer Vision Center and from 2003-04 vice-director. From the begining of 2006 is Director of the Computer Science Department of Universitat Autonoma de Barcelona.
“Learning Classifier Families for Object Detection and Parameter Estimation”
Stan Sclaroff - Boston University, USA
Stan Sclaroff received the Bachelors degree in Computer Science and English from Tufts University, USA, in 1984, and the Masters and PhD degree from the MIT Media Lab, USA, in 1991 and 1995, respectively. He is currently a professor of computer science and the chair of the Department of Computer Science at Boston University. He is founder and co-head of the Image and Video Computing research group at Boston University. His current research interests include object tracking and recognition, analysis of human activity and gesture, and image/video database indexing, retrieval and data mining methods.