Speakers
Emma Brunskill is an Assistant Professor of Computer Science and an Affiliated Assistant Professor of Machine Learning at Carnegie Mellon University. Prior to this, she completed her PhD at the Massachusetts Institute of Technology and was a NSF Mathematical Sciences Postdoctoral Fellow at UC Berkeley. She works on reinforcement learning, focusing on applications that involve artificial agents interacting with people, such as intelligent tutoring systems. She is a Rhodes Scholar, Microsoft Faculty Fellow and NSF CAREER award recipient, and her work has received best paper nominations in Education Data Mining (2012, 2013) and CHI (2014).
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Sébastien Marcel received the Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is currently interested in pattern recognition and machine learning with a focus on biometrics security. He is a senior researcher at the Idiap Research Institute (CH), where he heads a research team and conducts research on face recognition, speaker recognition, vein recognition and presentation attack detection (anti-spoofing). In 2010, he was appointed Visiting Associate Professor at the University of Cagliari (IT) where he taught a series of lectures in face recognition. He is lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he is teaching on “Fundamentals in Statistical Pattern Recognition”. He serves on the Program Committee of several scientific journals and international conferences in pattern recognition and computer vision. He is Associate Editor of IEEE Signal Processing Letters. He was Associate Editor of IEEE Transactions on Information Forensics and Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a Guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”, and Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. Finally he was the principal investigator of international research projects including MOBIO (EU FP7 Mobile Biometry), TABULA RASA (EU FP7 Trusted Biometrics under Spoofing Attacks) and BEAT (EU FP7 Biometrics Evaluation and Testing).
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Henning Müller studied medical informatics at the University of Heidelberg, Germany, then worked at Daimler-Benz research in Portland, OR, USA. From 1998-2002 he worked on his PhD degree at the University of Geneva, Switzerland with a research stay at Monash University, Melbourne, Australia in 2001. Since 2002 Henning has been working in medical informatics at the University Hospitals of Geneva where he habilitated in 2008 and was named titular professor in 2014. Since 2007 he has been a professor in business informatics at the HES-SO Valais in Sierre and since 2011 he has been responsible for the eHealth unit in Sierre. Henning was coordinator of the Khresmoi project, scientific coordinator of the VISCERAL project, initiator of the ImageCLEF benchmark. He has authored over 400 scientific papers, is in the editorial board of several journals and reviews for many journals and funding agencies around the world. For 2015-2016 Henning is a visiting professor at the Martinos Center in Boston, MA, USA part of Harvard Medical School and the Massachusetts General Hospital (MGH) working on collaborative projects in medical imaging and system evaluation among others in the context of the Quantitative Imaging Network of the National Cancer Institutes.
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Dr. Ir. Joaquin Vanschoren is assistant professor of machine learning at the Eindhoven University of Technology (TU/e). His research focusses on the progressive automation of machine learning and networked science. He has founded OpenML.org, a platform for networked machine learning research used by researchers all over the world. He obtained several demonstration and application awards and has been invited speaker at ECDA, StatComp, AutoML@ICML, IDA, and several other conferences. He also co-organized machine learning conferences (e.g. ECMLPKDD 2013, LION 2016) and many workshops.
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Larry Zitnick is a research manager at Facebook AI Research in Menlo Park, and an affiliate associate professor at the University of Washington. Previously, he spent 12 years at Microsoft Research. His current areas of interest include object recognition, language and vision, and methods for gathering commonsense knowledge. He is one of the co-organizers of the very successful MSCOCO challenge.