Symposium on Geometry Processing 2017
1—5 July 2017, London UK

    Daniel Cohen-Or

    Biography:

    Daniel Cohen-Or is a professor in the School of Computer Science. He received his B.Sc. cum laude in both mathematics and computer science (1985), andM.Sc. cum laude in computer science (1986) from Ben-Gurion University, and Ph.D. from the Department of Computer Science (1991) at State University of New York at Stony Brook. He received the 2005 Eurographics Outstanding Technical Contributions Award. He was sitting on the editorial board of a number of international journals, and a member of many the program committees of several international conferences. He is now on the editorial board of ACM Transactions on Graphics. His research interests are in computer graphics, in particular, synthesis, processing and modeling techniques. His main interest right now is in few areas: image synthesis, motion and transformations, shapes and surfaces, analysis and reconstruction.

    Gabriel Peyré

    Biography:

    Gabriel Peyré is senior researcher at the Centre Nationale de Recherche Scientifique (CNRS), working in DMA, Ecole Normale Supérieure, Paris. His research is focused on developing mathematical and numerical tools in sparse regularization and optimal transport, with applications in computer vision, graphics and neurosciences. Since 2005 Gabriel Peyré has co-authored 55 papers in international journals, 70 conference proceedings in top vision and image processing conferences, and two books. He is the creator of the "Numerical tour of signal processing" (www.numerical-tours.com), a popular online repository of Matlab/Python/Julia resources to teach modern signal and image processing.

    Ryan Schmidt

    Biography:

    Ryan Schmidt is the founder of gradientspace, a software studio developing 3D design tools in Toronto, Canada. He previously led the Design & Fabrication Group at Autodesk Research, after a PhD at the University of Toronto. His 3D design/print tool Meshmixer, acquired by Autodesk in 2011, has been downloaded over 1 million times, with a userbase ranging from schoolchildren to industry professionals. He also works with Nia Technologies to bring 3D-printed prosthetics to the developing world.

    Christian Theobalt

    Biography:

    Christian Theobalt is a Professor of Computer Science and the head of the research group "Graphics, Vision, & Video" at the Max-Planck-Institute for Informatics, Saarbrücken, Germany. From 2007 until 2009 he was a Visiting Assistant Professor in the Department of Computer Science at Stanford University. He received his MSc degree in Artificial Intelligence from the University of Edinburgh, his Diplom (MS) degree in Computer Science from Saarland University, and his PhD (Dr.-Ing.) from the Max-Planck-Institute for Informatics. His research deals with algorithmic problems that lie on the boundary between the fields of Computer Vision and Computer Graphics, such as static and dynamic 3D scene reconstruction, marker-less motion and performance capture, virtual and augmented reality, computer animation, appearance and reflectance modelling, intrinsic video and inverse rendering, machine learning for graphics and vision, new sensors for 3D acquisition, advanced video processing, as well as image- and physically-based rendering. He is also interested in using reconstruction techniques for new ways of human computer interaction. For his work, he received several awards, including the Otto Hahn Medal of the Max-Planck Society in 2007, the EUROGRAPHICS Young Researcher Award in 2009, the German Pattern Recognition Award 2012, and a Google Glass Research Award 2013. Further, in 2013 he was awarded an ERC Starting Grant by the European Union. In 2015, he was selected as one of the top 40 innovation leaders under 40 in Germany by the magazine Capital. He is a Principal Investigator and a member of the Steering Committee of the Intel Visual Computing Institute in Saarbrücken. He is also a co-founder of an award-winning spin-off company from his group - www.thecaptury.com - that is commercializing a new generation of marker-less motion and performance capture solutions.