Invited Lecturers
Corinna Cortes
Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from the Niels Bohr Institute in Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner, and a mother of two.
Mehryar Mohri
Mehryar Mohri is a professor of computer science at the Courant Institute of Mathematical Sciences at New York University known for his work in machine learning, automata theory and algorithms, speech recognition and natural language processing. He received his B.S from École Polytechnique (1987), his M.S. in computer science and applied mathematics from École Normale Supérieure (1989) and his Ph.D. in 1993 from the University of Paris 7 Denis Diderot. Prior to joining the Courant Institute in 2004, Mohri worked for ten years at Bell Labs and AT&T Labs, where he was Head of the Speech Algorithms Department. Mohri's main areas of research are machine learning, theory, computational biology, and text and speech processing. He is the author of many core weighted automata and finite state transducer algorithms and pioneered the application of weighted finite state transducers (WFSTs) to speech recognition and natural language processing with his colleagues at AT&T. At the Eurospeech 2001 conference in Aalborg, a paper by Mohri and Michael Riley, "Network Optimizations for Large-Vocabulary Speech Recognition," was given an award by the International Speech Communication Association as "the best paper published in Speech Communications during 1998-2000." His work with Brian Roark, "Probabilistic Context-Free Grammar Induction Based on Structural Zeros," won a best paper award at HLT-NAACL 2006. Mohri is Editorial Board member of Machine Learning and member of the advisory board for the Journal of Automata, Languages and Combinatorics.
Yishay Mansour
Yishay Mansour obtained his B.A. in 1985 and his M.Sc. in 1987 at the Technion; his M.Sc. advisor was Prof. Shmuel Zaks. He completed his Ph.D. at MIT in 1990 under the supervision of Professors Shafi Goldwasser and Baruch Awerbuch. Subsequently he became a postdoctoral fellow at Harvard University and a Research Staff Member at IBM T.J. Watson Research Center. Since 1992 he has been with the School of Computer Science at Tel-Aviv University, where he was the chairman during 2000-2002. His research interests include online algorithms, communication networks, machine learning, reinforcement learning and the theory of computation.
Trevor Darrell
Prof. Trevor Darrell's group is co-located at the University of California, Berkeley, and the UCB-affiliated International Computer Science Institute (ICSI), also located in Berkeley, CA. Prof. Darrell is on the faculty of the CS Division of the EECS Department at UCB and is the vision group lead at ICSI. Darrell's group develops algorithms to enable multimodal conversation with robots and mobile devices, and methods for object and activity recognition on such platforms. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Prof. Darrell was previously on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M., and PhD. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988, having started his career in computer vision as an undergraduate researcher in Ruzena Bajcsy's GRASP lab.
Guest Lecturers
Tobias Glasmachers
Tobias Glasmachers studied Mathematics at the Ruhr-University in Bochum, Germany. After his diploma in 2004 he joined the Institut für Neuroinformatik in Bochum. In 2008 he received his Doctoral degree from the Faculty of Mathematics. After a post-doc stay in Jürgen Schmidhuber's group at IDSIA in Lugano, Switzerland, he returned to the Institut für Neuroinformatik as a Junior Professor for Machine Learning.
Marco Loog
Marco Loog received an M.Sc. in mathematics from Utrecht University, the Netherlands, and in 2004 a Ph.D. degree from the Image Sciences Institute for the development and improvement of contextual statistical pattern recognition methods and their use in the processing and analysis of images. After this joyful event, he moved to Copenhagen, Denmark, where he acted as assistant and, eventually, associate professor next to which he worked as a research scientist at Nordic Bioscience. In 2008, after several splendid years in Denmark, Marco moved to Delft University of Technology, the Netherlands, where he now works as an assistant professor in the Pattern Recognition Laboratory. He currently is vice-chair of Technical Committee 1 of the IAPR, holds three associate editorships, and has been an Invited CNRS Research Scientist in 2008 and 2009. His ever-evolving research interests nowadays include multiscale image analysis, semi-supervised and multiple instance learning, saliency, computational perception, the dissimilarity approach, and black math. Marco is the inventor of a pre-auto-context auto-context-like algorithm coined iterated contextual pixel classification.
Local Lecturers
Marleen de Bruijne
Marleen de Bruijne is associate professor of medical image analysis at Erasmus MC Rotterdam, The Netherlands, and at University of Copenhagen, Denmark. She received an MSc degree in physics (1997) and a PhD degree in medical imaging (2003) both from Utrecht University, The Netherlands. After her PhD she was first assistant professor and later associate professor at the IT University of Copenhagen, Denmark. Since 2007, she is employed at both University of Copenhagen, where she leads the research in pulmonary image analysis, and at Erasmus MC, where she is heading the "model based medical image analysis" research group. She has (co-) authored over 100 peer-reviewed full papers in international conferences and journals. She is a member of the program committee of several international conferences in medical imaging and conferences in medical imaging and computer vision and a member of the editorial board of Medical Image Analysis.
Christian Igel
Christian Igel studied Computer Science at the Technical University of Dortmund, Germany. In 2002, he received his Doctoral degree from the Faculty of Technology, Bielefeld University, Germany, and in 2010 his Habilitation degree from the Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany. From 2002 to 2010, he was a Juniorprofessor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum. In October 2010, he was appointed professor with special duties in machine learning at DIKU.
Mads Nielsen
Mads Nielsen received a MSc in 1992 and a PhD in 1995 both in computer science from DIKU , Department of Computer Science, University of Copenhagen, Denmark. During his PhD studies he spent one year 93-94 at the Robotvis lab at INRIA, Sophia-Antipolis, France. In the second half of 1995 he was post-doc at the Image Sciences Institute of Utrecht University, The Netherlands. In 1996 he was joint post-doc at DIKU and 3D-Lab, School of Dentistry, University of Copenhagen., where he served as assistant professor 1997-99. In 1998-99 he served as external associate professor at Institute of Mathematical Modelling, Technical University of Denmark. April 1999 he became the first associate professor at the new IT University of Copenhagen. Since June 2002 he has been professor the same place heading the Image Analysis Group. He is head of the PhD-studies at ITU, member of the Academical Council of ITU, Vice-head of the Department of Innovation, General chair of MICCAI 2006 , member of the editorial board of IJCV and JMIV.
