Keynote Speakers


Fernand Cohen

Dr. Fernand S. Cohen, Director of the Imaging and Computer Vision Center, Drexel University, Philadelphia, USA.

Title: The Need for ‘Cultural’ Machine Translation – Challenges and Solutions.

Bio: Fernand S. Cohen (IEEE SM 96) received his B. Sc. degree in Physics from the American University in 1978, and M. Sc. and Ph.D. degrees in Electrical Engineering from Brown University, Providence, RI, in 1980 and 1983, respectively.  He joined the Department of Electrical Engineering at the University of Rhode Island in 1983 as an Assistant Professor.  In 1984 he joined the Robotics Research Center, University of Rhode Island and was responsible for the Vision Research in the center from 1986-1987.  In 1985 he was the recipient of a Research Excellence Award from the College of Engineering, University of Rhode Island.  He was in 1986 invited by the French government (mission scientifique) to tour research laboratories and universities. In 1987 he joined the Department of Electrical and Computer Engineering at Drexel University as a named Chair Associate Professor (George Beggs). He is currently Professor of Electrical and Computer Engineering and is affiliated with the School of Biomedical Engineering, Science and Health Systems, and serves as Director of the Imaging and Computer Vision Center (ICVC).  In the summer 1994 he was invited as a visiting Professor by the National Institute of Research in Information and Automation (INRIA) in Sophia Antipolis, France. He was awarded the Tom Moore Teaching Award, ECE Department, Drexel University, in May 2003. He was also the recipient of a CNRS (Centre National de Recherche Scientique) fellowship in the summer of 2005. He has worked in the area of computer vision and sensor networks, as well as in the area of early cancer detection using ultrasound and optical probes and has published extensively in these areas over the last three decades. He published over 130 journal and reviewed conference publications and has graduated 15 Ph. D. students, and has had over 10 million dollars funding from NIH, NSF, and NSA. He has numerous papers with over 200 citations each. His most recent projects are: computational archaeology (NFS) and person recognition and tracking in crowded scenes (NSA). He was keynote speakers at many conferences more recently in Bangkok, Barcelona, and Morocco. His research interests include pattern recognition, computer vision, medical image processing, computational methods, sensor networks, and applied stochastic processes.


Jean Vanderdonckt

Dr. Jean Vanderdonckt, Université catholique de Louvain (UCL, Belgium).

Title: UI automated generation: Model-based and Model-driven engineering of user interfaces.

Bio: Jean Vanderdonckt is Full Professor of Computer Science at Université catholique de Louvain (UCL, Belgium) where he is President of Louvain School of Management Research Institute (ILSM) and Head of the Louvain Interaction Laboratory (LiLab) since its creation in 1998. He holds a master and an aggregation in mathematics, a master in computer science and a PhD in Sciences from University of Namur. He has been Visiting Associate Professor at Stanford University (2000), invited professor at Univ. of Fortaleza (2001), and permanent invited prof. at Polytechnic Univ. of Valencia. He has over 25 years of experience in research and development. Being ACM member since 1987, he is currently ACM and IEEE Senior Member, and member of ACM SIGCHI. He received several awards (e.g., the IBM Belgium Award in Computer Science in 1998, the ACM Service Award for Contributions to ACM in 2004, 2006, and 2010, the Brian Shackel Award in HCI in 2007, the ITEA Research Excellence Award in 2013) and fellowships (e.g., Fulbright-Hayes fellowship in 2000, NATO Advanced Fellowship in 2001). In 2000, he co-created and led BelCHI, the Belgian chapter of ACM SIGCHI (Special Interest Group on Computer-Human Interaction). He is the current tenure holder of the IBM-UCL Chair in Strategic Management of Information Systems. He is currently co-editor-in-chief of Springer HCI Series.

His work belongs to the discipline of Human-Computer Interaction (HCI) and relies on a formal model-based approach of user interfaces of an interactive system in order to guarantee its usability with respect to the end user in her context of use. It is intended to develop this interface according to a model-based, step-wise approach supported by a user interface description language. In addition to knowledge coming from software engineering, this work relies on and integrate explicitly knowledge from other disciplines such as: cognitive psychology, neurophysiology, and usability engineering. Jean has over 200 publications in international, peer-reviewed journals and conference proceedings. He participated in several European projects, such as: FP4 Syrecos, FP5 Cameleon, FP6 Similar, FP7 Human, FP7 Selfman, FP7 Serenoa, and ITEA2 UsiXML (User Interface eXtensible Markup Language), involving 22 partners from 7 European countries. He researched with organizations like CAST, Brookhaven Nat. Lab., OASIS, and NIST in the US and with international standardization bodies (e.g., ISO, OMG, W3C, the COPRAS European initiative).


Mohamed Nadif

Dr. Mohamed Nadif, University Paris Descartes, France.

Title: Co-clustering for Data Science.

Bio: Mohamed Nadif is full Professor of data analysis, machine learning and data mining at University Paris Descartes. He is the head of "Machine Learning for Data Science" (MLDS) team at LIPADE since 2006. Since twenty years, he supervised many thesis on statistics and machine learning on theoretical and applied subjects with industries. He has more than 140 publications and is the one of the two authors of the book (Wiley Ed) entitled «Co-clustering: Models, algorithms and applications», 2013. He teaches machine learning techniques and multivariate analysis in master "Machine Learning for Data Science" that he has created and continue to supervise since 2009.

He is a regular member of the program committee in international conferences such as IJCAI, ECML and IDA, reviewer in prestigious journals such as IEEE Pami, IEEE TNNLS, and Pattern recognition, associate editor of the “Advances in Analysis and Classification” journal. His current researches interests include cluster analysis, co-clustering, data analysis, visualization, factorization latent block models, text-mining and recommender systems. He was Invited by Amirkabir University (Teheran-IRAN) and China University of Petroleum (Huangdao-China), and several french and international conferences.

Since 2012, he is the president of the French speaking Society of Classification (SFC) which is a member of IFCS (International Federation of Classification Societies). He has been awarded many grants such as ANR ClasSel- 2008-2012 on co-clustering and model selection and EDAGWAS 2013-2015 devoted to develop a set user-friendly and fast data analysis tools to explore both association between genome-wide SNP data, disease and textual relationships among genes. He is a contributor of the “Coclust” software providing diagonal and non-diagonal co-clustering algorithms developed in the MLDS team and exclusively dedicated to high-dimensional sparse data.



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