Yves PedrazziniYves Pedrazzini is MER / Senior Scientist in the Laboratory of Urban Sociology (LaSUR), Faculty of Natural, Architectural and Build Environment (ENAC) of the Federal Polytechnic School of Lausanne (EPFL). For more than 20 years, he analyses urban dynamics, social practices, urban cultures, violence and insecurity phenomena, in North and South countries. In 1987, he began ethnographical studies of youth armed gangs in Latin-American slums, developing innovative qualitative methods to make them real protagonists of the research process. Since 1997, Yves Pedrazzini added to his urban experience in Latin America (Brazil, Bolivia, Colombia, Cuba, El Salvador, Mexico, Venezuela) new expertise of African urban contexts (Burkina Faso, Ethiopia, Ivory Coast, Mauritania, Senegal). He published many books and articles on urban violence and Security/insecurity issues, from a sociological and anthropological point of view.
Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Marilyne AndersenMarilyne Andersen is a Full Professor of Sustainable Construction Technologies and heads the Laboratory of Integrated Performance in Design (LIPID) that she launched in the Fall of 2010. She was Dean of the School of Architecture, Civil and Environmental Engineering (ENAC) at EPFL from 2013 to 2018 and is the Academic Director of the Smart Living Lab in Fribourg. She also co-leads the Student Kreativity and Innovation Laboratory (SKIL) at ENAC. Before joining EPFL as a faculty, she was an Assistant Professor then Associate Professor tenure-track in the Building Technology Group of the MIT School of Architecture and Planning and the Head of the MIT Daylighting Lab that she founded in 2004. She has also been Invited Professor at the Singapore University of Technology and Design in 2019. Marilyne Andersen owns a Master of Science in Physics and specialized in daylighting through her PhD in Building Physics at EPFL in the Solar Energy and Building Physics Laboratory (LESO) and as a Visiting Scholar in the Building Technologies Department of the Lawrence Berkeley National Laboratory in California. Her research lies at the interface between science, engineering and architectural design with a dedicated emphasis on the impact of daylight on building occupants. Focused on questions of comfort, perception and health and their implications on energy considerations, these research efforts aim towards a deeper integration of the design process with daylighting performance and indoor comfort, by reaching out to various fields of science, from chronobiology and neuroscience to psychophysics and computer graphics. She is leveraging this research in practice through OCULIGHT dynamics, a startup company she co-founded, which offers specialized consulting services on daylight performance and its psycho-physiological effects on building occupants. She is the author of more than 200 papers published in peer-reviewed journals and international conferences and the recipient of several grants and awards including: the Daylight Award for Research (2016), eleven publication awards and distinctions (2009, 2011, 2012, 2015, 2018, 2019) including the Taylor Technical Talent Award 2009 granted by the Illuminating Engineering Society, the 3M Non-Tenured Faculty Grant (2009), the Mitsui Career Development Professorship at MIT (2008) and the EPFL prize of the Chorafas Foundation awarded to her PhD thesis in Sustainability (2005). Her research or teaching has been supported by professional, institutional and industrial organizations such as: the Swiss and the U.S. National Science Foundations, the Velux Foundation, the European Horizon 2020 program, the Boston Society of Architects, the MIT Energy Initiative and InnoSuisse. She was the leader and faculty advisor of the Swiss Team and its NeighborHub project, who won the U.S. Solar Decathlon 2017 competition with 8 podiums out of 10 contests. She is a member of the Board of the LafargeHolcim Foundation for Sustainable Construction and Head of its Academic Committee. She is also a member of the Editorial Board of the journal Building and Environment by Elsevier, and of the journals LEUKOS (of the Illuminating Engineering Society) and Buildings and Cities, by Taylor and Francis. She is expert to the Innovation Council of InnoSuisse and Founding member as well as Board member of the Foundation Culture du Bâti (CUB), and is also founding member of the Daylight Academy and an active member of several committees of the Illuminating Engineering Society (IES) and International Commission on Illumination (CIE).
Murat KuntMurat KUNT was born in Ankara, Turkey, on January 16, 1945. He received his M.S. in Physics and his Ph.D. in Electrical Engineering, both from the Swiss Federal Institute of Technology, Lausanne, Switzerland, in 1969 and 1974 respectively. From 1974 to 1976, he was a visiting scientist at the Research Laboratory of Electronics of the Massachusetts Institute of Technology where he developed compression techniques for Xray images and electronic image files. In 1976, he returned to the Swiss Federal Institute of Technology (EPFL) where, presently, he is Professor of Electrical Engineering and Director of the Signal Processing Institute, one of the largest at EPFL. He conducts teaching and research in digital signal and image processing with applications to modeling, coding, pattern recognition, scene analysis, industrial developments and biomedical engineering. His Laboratory participates in a large number of European projects under various programmes such as Esprit, Eureka, Race, HCM, Commett and Cost. He is the author or the co-author of more than two hundred research papers and fifteen books and holds seven patents. He supervised more than 60 Ph.D. students, some of them being today university professors. He has been the Editor-in-Chief of the Signal Processing Journal for 28 years and a founding member of EURASIP, the European Association for Signal Processing. He is now the Editorin-Chief of Signal, Images and Video Processing journal by Springer and serves as a chairman and/or a member of the Scientific Committees of several international conferences and on the editorial boards of the Proceedings of the IEEE, Pattern Recognition Letters and Traitement du Signal. He was the co-chairman of the first European Signal Processing Conference held in Lausanne in 1980 and the general chairman of the International Image Processing Conference (ICIP'96) held in Lausanne in 1996. He was the President of the Swiss Association for Pattern Recognition from its creation until 1997. He consults for governmental offices including the French General Assembly. He received the gold medal of EURASIP for meritorious services, the IEEE ASSP technical achievement award, the IEEE Third millennium Medal, an honorary doctorate from the Catholic University of Louvain, the technical achievement award of EURASIP and the imaging scientist of the year award of the IS&T and SPIE in 1983, 1997, 2000, 2001, 2003 and 2003 respectively. He retired in June 2008 and has been Professor Emeritus since then.
Please go to: http://lts5www.epfl.ch/kunt.html for more details Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
Philippe ThalmannPhilippe Thalmann was born in Lausanne in 1963. He graduated in Economics from the University of Lausanne in 1984, where he earned a postgraduate diploma in Economics in 1986. Mr. Thalmann entered the doctoral program in Economics of Harvard University (Cambridge, U.S.A.) in 1986, which he completed with a Ph.D. in 1990. His dissertation is entitled: "Essays in the Economics of Government Revenues and Spending". Returning to Switzerland, he was hired as an assistant professor first at the University of Geneva (teachings in Public Economics), then at the University of Lausanne (teachings in Econometrics and Introductory Economics). Since 1994, Mr. Thalmann is associate professor of Economics as the Swiss Federal Institute of Technology at Lausanne.
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
