Official sponsor


Official sponsor


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Fabien Ringeval, Technische Universität München, Germany
Fabien Ringeval received the M.S. degree in speech and image signal processing from the Université Pierre et Marie Curie (UPMC), Paris, France, in 2006 and the Ph.D. degree for his researches on the automatic recognition of acted and spontaneous emotions from speech in 2011, from UPMC, one of French’s repeatedly highest ranked and among its first Excellence Universities. He was with the Institute of Intelligent Systems and Robotics (ISIR), UPMC, France, from 2006 to 2011, with TUM, Munich, Germany in 2011, and with the DIVA group, at the Université de Fribourg, Switzerland from 2011 to 2013. He is actually a post-doctoral researcher at the MISP group at TUM. His research interests concern signal processing and machine learning, with applications on the automatic recognition of idiosyncratic and paralinguistic information (e.g., age, gender, emotions, social behaviours and atypical behaviours) from multimodal data (e.g., audio, video and physiological signals). To pursue his research on computational paralinguistics, he created the Child Pathological Speech Database (CPSD) and the REmote COLlaborative and Affective interactions (RECOLA) databases, in collaboration with clinicians and psychologists. Dr. Ringeval is a member of different scientific societies (IEEE, AAAC, ISCA, AFCP, GRD-ISIS), serves as a reviewer for several journals as well as other leading international conferences in the field, and co-organised the INTERSPEECH 2013 ComParE challenge, the Alpine Rendez-vous (ARV) 2013 Workshop on Tools and Technologies for Emotion Awareness in Computer-Mediated Collaboration and Learning, and the 5th International Audio/Visual+ Emotion Challenge and Workshop (AV+EC 2015).
Michel Valstar, University of Nottingham, UK
Michel F. Valstar (2008, Ph.D. in Computer Science) is a Lecturer in the Mixed Reality Lab of the University of Nottingham. Before that, he was a Visiting Researcher at the Affective Computing group, MIT, and a Research Associate in the intelligent Behaviour Understanding Group (iBUG) at Imperial College London. He received his master’s degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial College London in 2008. Currently he is working in the fields of computer vision and pattern recognition, where his main interest is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. He is also the assistant director of the International Doctoral Innovation Centre – Digital Economy (IDIC-DE), which will train 50 multi-disciplinary PhD students in the area of Big Data and Smart cities. In 2007 he won the BCS British Machine Intelligence Prize for part of his PhD work. He has published technical papers at authoritative conferences including CVPR, ICCV and SMC-B and his work has received popular press coverage in New Scientist and on BBC Radio. He is also a reviewer for many journals in the field, including Transactions on Affective Computing, Systems, Man and Cybernetics- B and the Image and Vision Computing Journal, and was the main organizer of the first challenge on facial expression recognition and analysis (FERA 2011) at IEEE FG 2011.
Björn Schuller, Imperial College London / University of Passau, UK / Germany
Björn W. Schuller received his diploma in 1999 and his doctoral degree for his study on Automatic Speech and Emotion Recognition in 2006 and his habilitation in 2012, all in electrical engineering and information technology from TUM in Munich/Germany. He is a full professor and head of the Institute for Complex Systems Engineering at the University of Passau/Germany and senior lecturer at the Imperial College London’s Department of Computing in the UK, Adjunct Teaching Professor at TUM, CEO of audEERING UG (limited), Visiting Professor of HIT in Harbin/China, Associate of CISA in Geneva/Switzerland and Joanneum Research in Graz/Austria. Previously, he was tenured head of the MISP Group at TUM and a full professor heading the Institute for Sensor Systems at the University of Passau/Germany, and with the CNRS-LIMSI’s Spoken Language Processing Group in Orsay/France. Best known are his works advancing Machine Intelligence for Affective Computing. He is the president of the Association for the Advancement of Affective Computing (AAAC), and elected member of the IEEE Speech and Language Processing Technical Committee (SLTC), IEEE, ACM, and ISCA and (co-) authored five books and more than 380 publications in the field leading to more than 5900 citations — his current h-index equals 39. Community service includes his former co-founding Steering Committee membership and current Associate Editorship for the IEEE Transactions on Affective Computing and further Associate Editorship including the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Cybernetics, the IEEE Signal Processing Letters, and Computer Speech and Language.
Roddy Cowie, Queen’s University Belfast, UK
Roddy Cowie studied Philosophy and Psychology as an undergraduate, and received his PhD from Sussex on relationships between human and machine vision. He joined the psychology department at Queen’s, Belfast in 1975 and became a professor in 2003. He has applied computational methods to the study of complex perceptual phenomena in a range of areas – perceiving pictures, the subjective experience of deafness, and the information that speech conveys about the speaker. Recently he has focussed on the perception of emotion through a series of EC projects, and was co-ordinator of the HUMAINE network of excellence. He developed influential methods of measuring perceived emotional colouring and inducing relatively natural interactions with a high level of emotional colouring, and he has authored or edited several landmark publications in the area: these include one of the pioneering papers on emotion recognition, and co-edited special editions of Speech Communication (2003) and Neural Networks (2005) on emotion.
Maja Pantic, Imperial College London, UK
Maja Pantic received MSc and PhD degrees in computer science from Delft University of Technology, the Netherlands, in 1997 and 2001. From 2001 to 2005, she was an Assistant and then an Associate professor at the Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology. In 2006, she joined the Imperial College London, Department of Computing, UK, where she is full-time Professor of Affective & Behavioural Computing and head of the Intelligent Behaviour Understanding Group (iBUG), working on machine analysis of human non-verbal behaviour and its applications to HCI. From November 2006, she also holds an appointment as a part-time Professor of Affective & Behavioural Computing at EEMCS of the University of Twente, the Netherlands. In 2002, for her research on Facial Information for Advanced Interface (FIFAI), she received the Innovational Research Award of the Dutch Scientific Organization (NWO Veni) as one of the 7 best young scientists in exact sciences in the Netherlands. In 2008, for her research on Machine Analysis of Human Naturalistic Behavior (MAHNOB), she received the European Research Council Starting Grant as one of 2% best young scientists in any research field in Europe. She is also a partner in several FP6 and FP7 European projects, including the currently ongoing FP7 Social Signals Processing Network of Excellence (SSPNet NoE), for which she is the scientific coordinator. Prof. Pantic currently serves as the Editor in Chief of Image and Vision Computing Journal (IVCJ) and an Associate Editor for the IEEE Transactions on Systems, Man, and Cybernetics Part B (TSMC-B). She was the organizer and co-organizer of various symposia on Automatic Human Behavior Analysis and Synthesis in conjunction with the IEEE SMC (2004), ACM Multimedia (2005, 2010), ACM ICMI (2006-2009), and IEEE CVPR (2008-2010). She was the General Chair for the IEEE Int’l Conf. on Automatic Face and Gesture Recognition 2008, Belgium-Netherlands Conf. on Artificial Intelligence 2008, and IEEE Int’l Conf. on Affective Computing and Intelligent Interaction 2009. Prof. Pantic was also a Visiting Professor at the Robotics Institute, Carnegie Mellon University, in 2005. Prof. Pantic is one of the world’s leading experts in the research on machine understanding of human behavior including vision-based detection, tracking, and analysis of human behavioral cues like facial expressions and body gestures, and multimodal analysis of human behaviors like laughter, social signals, and affective states. She is also one of the pioneers in design and development of fully automatic, affect-sensitive human-centered anticipatory interfaces, built for humans based on human models. She has published more than 100 technical papers in the areas of machine analysis of facial expressions and emotions, machine analysis of human body gestures, and human-computer interaction. She has more than 2500 citations to her work (h-index = 21), has more than 20 popular press coverage (including New Scientist, BBC Radio, and NL TV 1 and 3), is a Senior member of the IEEE from 2006, and has served as the Key Note Speaker and an organization/ program committee member at numerous conferences.