Invited speakers

Keynote speakers





Vladimir Naumovich Vapnik is one of the main developers of Vapnik–Chervonenkis theory. He was born in the Soviet Union. He received his master's degree in mathematics at the Uzbek State University, Samarkand, Uzbek SSR in 1958 and Ph.D in statistics at the Institute of Control Sciences, Moscow in 1964. He worked at this institute from 1961 to 1990 and became Head of the Computer Science Research Department. At the end of 1990, he moved to the USA and joined the Adaptive Systems Research Department at AT&T Bell Labs in Holmdel, New Jersey. The group later became the Image Processing Research Department of AT&T Laboratories when AT&T spun off Lucent Technologies in 1996. Vapnik Left AT&T in 2002 and joined NEC Laboratories in Princeton, New Jersey, where he currently works in the Machine Learning group. He also holds a Professor of Computer Science and Statistics position at Royal Holloway, University of London since 1995, as well as a position as Professor of Computer Science at Columbia University, New York City since 2003. He was inducted into the U.S. National Academy of Engineering in 2006. He received the 2005 Gabor Award, the 2008 Paris Kanellakis Award, the 2010 Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, and the 2012 Benjamin Franklin Medal in Computer and Cognitive Science from the Franklin Institute.
While at AT&T, Vapnik and his colleagues developed the theory of the support vector machine. They demonstrated its performance on a number of problems of interest to the machine learning community, including handwriting recognition.

Stuart Russell is a Professor of Computer Science at UC Berkeley and Adjunct Professor of Neurosurgery at UC San Francisco. He is currently a visiting professor at the Universite Pierre et Marie Curie and holds the Chaire Blaise Pascal. His research covers many aspects of artificial intelligence and machine learning. He is a fellow of AAAI, ACM, and AAAS and winner of the IJCAI Computers and Thought Award. His book "Artificial Intelligence: A Modern Approach" (with Peter Norvig) is the standard text in the field.

Inés Couso received the M.Sc. degree in Mathematics in 1995 and the PhD degree in Statistics in 1999, both from the University of Oviedo (Spain). She is Associate Professor with the Department of Statistics and Operational Research of the same university. She has been a visiting scholar at the Université Paul Sabatier (IRIT, Toulouse) in 2009 and the Université de Montpellier 2 (LIRMM, Montpellier) in 2011. She is currently Area Editor of the International Journal of Approximate Reasoning and member of the editorial board of Fuzzy Sets and Systems. Her research interests include imprecise probabilities, random sets, fuzzy meta-information and statistics with low quality data.

Nadia Berthouze is Associate Professor in the UCL Interaction Centre. She received her PhD in computer science from the University of Milano. From 1996 to 2000 she has been a postdoc fellow at the Electrotechnical laboratory in Japan working in the area of Kansei Engineering. From 2000 to 2006, she was a lecturer in computer science at the University of Aizu in Japan. Her main area of expertise is the study of body posture/movement as a modality for recognising, modulating and measuring human affective states in HCI. She has published more than 150 papers in affective computing, HCI, and pattern recognition. She was awarded the 2003 Technical Prize from the Japanese Society of Kansei Engineering and she has been invited to give a TEDxStMartin talk (2012). She is PI on the Emo&Pain project (EP/H007083/1, 2010-2014) to design affective technology to support rehabilitation in chronic pain; co-I on the Digital Sensoria project (EP/H007083/1, 2009-2012) investigating the use of biosensors to measure subjective responses to tactile experiences; co-I on the ILHAIRE project (FET-EU-FP7, 2011-2014) investigating laughter in human-avatar interaction.

Marcin Detyniecki is research scientist at the French National Center for Scientific Research (CNRS), at the University Pierre and Marie Curie (UPMC) and at the Polish Academy of Science. His research focuses on theoretical aspects of computational intelligence with an application to challenges emerging from uses of new medias, ranging from multimedia information retrieval to interaction with social media objects. Several of the developed applications have not only been deployed in the market, but they have also been singled out in international competitions such as TrecVid, ImageClef, MediaEval. This applicative success is the results of a dialogue with more theoretical works on topics such as new challenges in approximate reasoning, information aggregation and fusion, and machine learning from a computational intelligence perspective. Marcin Detyniecki studied mathematics, physics and computer science at the University Pierre and Marie Curie (UPMC) in Paris. In 2000 he obtained his Ph.D. in Artificial Intelligence from the same university. He has has been researcher at the University of California at Berkeley and at Carnegie Mellon University. He has been visiting researcher at the University of Florence and at British Telecom Research labs. Today he is member of the research council of UPMC University, member of the board of laboratories SMART and LIP6, and member of the editorial board of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJFUKS).

Christian de Sainte Marie has been working on decision support systems and applications since the early 80's as a scientist, software developer, founder of a startup, consultant, project manager. He graduated as an electrical engineer from the Swiss Federal Institute of Technology in Zurich in 1982; then he received a master's degree in computer Science and he obtained a PhD in Artificial Intelligence (1992) at the National Polytechnic Institute in Grenoble, France.
As Director for Standards and R&D Partnerships at ILOG, Christian helped start, and co-chaired, the W3C Rule Interchange Format (RIF) working group (RIF is a W3C Recommendation since June 2010). He contributed to start the Decision Model and Notation (DMN) project at OMG and led IBM’s contribution to the effort.
Having joined IBM since the acquisition of ILOG in 2009, he is currently the leader of IBM France Center for Advanced Studies.