Dimensionality Reduction and Visualization



Was born in 1965 in Belgium. He received the M.S. and Ph.D. degrees in Electrical Engineering from the Université catholique de Louvain (Belgium) in 1987 and 1992, respectively. He was an invited professor at the Swiss E.P.F.L. (Ecole Polytechnique Fédérale de Lausanne, Switzerland) in 1992, at the Université d’Evry Val d’Essonne (France) in 2001, and at the Université Paris I—Panthéon-Sorbonne from 2002 to 2011, respectively. He is now Full Professor at the Université catholique de Louvain, and Honorary Research Director of the Belgian F.N.R.S. (National Fund of Scientific Research). He is editor-in-chief of the Neural Processing Letters journal (published by Springer), chairman of the annual ESANN conference (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning), past associate editor of the IEEE Transactions on Neural Networks journal, and member of the editorial board and program committee of several journals and conferences on neural networks and learning. He was the chairman of the IEEE Computational Intelligence Society Benelux chapter (2008–2010), and member of the executive board of the European Neural Networks Society (2005–2010). He is author or co-author of more than 250 scientific papers in international journals and books or communications to conferences with reviewing committees. He is the co-author of the scientific popularization book on artificial neural networks in the series "Que Sais-Je?" in French, and of the ‘‘Nonlinear Dimensionality Reduction’’ book published by Springer in 2007. His research interests include machine learning, feature selection, artificial neural networks, self-organization, time-series forecasting, nonlinear statistics, adaptive signal processing, and high dimensional data analysis.

Contact: michel.verleysen@uclouvain.be



Was born in 1976 in Brussels, Belgium. He received the M.S. degree in Applied Sciences (Computer Engineering) in 1999 and the Ph.D. degree in Applied Sciences (Machine Learning) in 2003, both from the Université catholique de Louvain (UCL, Belgium). His main interests are dimensionality reduction, intrinsic dimensionality estimation, clustering, vector quantization, and various aspects of image processing. He is a member of the UCL Machine Learning Group and a Research Associate with the Belgian F.N.R.S. (Fonds National de la Recherche Scientifique). Together with Michel Verleysen, he wrote a monography entitled ‘Nonlinear Dimensionality Reduction’ published by Springer-Verlag in 2007. His current work aims at developing specific image enhancement techniques for positron emission tomography in the center of Molecular Imaging, Radiotherapy, and Oncology (MIRO).

Contact: john.lee@uclouvain.be




Was born in Pasto - Colombia in 1986. He received his degree in electronic engineering, the M.Eng.and PhD. degree in industrial automation from the Universidad Nacional de Colombia, Manizales - Colombia, in 2008, 2010 and 2013, respectively. Currently, he is a post-doc at Université Catholique de Louvain, at Louvain la-Neuve, Belgium. His main research interests are dimensionality reduction and spectral methods for clustering and representation.

Contact: diego.peluffo@uclouvain.be