Jean-Yves Le BoudecJean-Yves Le Boudec is full professor at EPFL and fellow of the IEEE. He graduated from Ecole Normale Superieure de Saint-Cloud, Paris, where he obtained the Agregation in Mathematics in 1980 (rank 4) and received his doctorate in 1984 from the University of Rennes, France. From 1984 to 1987 he was with INSA/IRISA, Rennes. In 1987 he joined Bell Northern Research, Ottawa, Canada, as a member of scientific staff in the Network and Product Traffic Design Department. In 1988, he joined the IBM Zurich Research Laboratory where he was manager of the Customer Premises Network Department. In 1994 he joined EPFL as associate professor. His interests are in the performance and architecture of communication systems. In 1984, he developed analytical models of multiprocessor, multiple bus computers. In 1990 he invented the concept called "MAC emulation" which later became the ATM forum LAN emulation project, and developed the first ATM control point based on OSPF. He also launched public domain software for the interworking of ATM and TCP/IP under Linux. He proposed in 1998 the first solution to the failure propagation that arises from common infrastructures in the Internet. He contributed to network calculus, a recent set of developments that forms a foundation to many traffic control concepts in the internet. He earned the Infocom 2005 Best Paper award, with Milan Vojnovic, for elucidating the perfect simulation and stationarity of mobility models, the 2008 IEEE Communications Society William R. Bennett Prize in the Field of Communications Networking, with Bozidar Radunovic, for the analysis of max-min fairness and the 2009 ACM Sigmetrics Best Paper Award, with Augustin Chaintreau and Nikodin Ristanovic, for the mean field analysis of the age of information in gossiping protocols. He is or has been on the program committee or editorial board of many conferences and journals, including Sigcomm, Sigmetrics, Infocom, Performance Evaluation and ACM/IEEE Transactions on Networking. He co-authored the book "Network Calculus" (2001) with Patrick Thiran and is the author of the book "Performance Evaluation of Computer and Communication Systems" (2010).
Didier TronoAprès des études de médecine à l’Université de Genève et une formation clinique en pathologie, médecine interne et maladies infectieuses à Genève et au Massachusetts General Hospital de Boston, Didier Trono s’engage dans une carrière scientifique au Whitehead Institute du MIT. En 1990, il est recruté par le Salk Institute de San Diego pour lancer un centre de recherche sur le SIDA. Il rentre en Europe sept ans plus tard, avant de prendre en 2004 les rênes de la toute nouvelle faculté des Sciences de la Vie de l’EPFL, dont il orchestre le développement et qu’il dirige jusqu’en 2012. Il participe aujourd’hui activement à la coordination des efforts de la Suisse en vue de l’intégration des nouvelles technologies dans le domaine de la médecine de précision et de la santé personnalisée.
Olivier MartinOlivier J.F. Martin a obtenu le diplôme (M.Sc.) et le doctorat en physique de l'Ecole Polytechnique Fédérale de Lausanne (EPFL) en 1989, respectivement 1994. En 1989 il a rejoint le laboratoire de recherche d'IBM à Rüschlikon près de Zurich, où il a étudié les propriétés optiques et thermiques des lasers semiconducteur. Entre 1994 et 1997 il était collaborateur scientifique de l'Ecole Polytechnique Fédérale de Zurich (ETHZ). En 1997 il a reçu une bourse Profil du Fonds National Suisse de la Recherche Scientifique (FNSRS) lui permettant de mettre sur pied un groupe de recherche indépendant. Entre 1996 et 1999, Olivier Martin a passé plus d'une année et demi aux U.S.A. comme collaborateur invité de l'Université de Californie à San Diego. En 2001 il a reçu une bourse de professeur assistant du FNSRS et devint professeur de Nano-optique à l'ETHZ. En 2003 il a été nommé professeur de nanophotonique et de traitement optique du signal à l'EPFL où il dirige actuellement le laboratoire de Nanophotonique & Métrologie.
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.
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
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.
Nicolas MacrisNicolas Macris received the PhD degree in theoretical physics from EPFL and then pursued his scientific activity at the mathematics department of Rutgers University (NJ, USA). He then joined the Faculty of Basic Science of EPFL, working in the field of quantum statistical mechanics and mathematical aspects of the quantum Hall effect. Since 2005 he is with the Communication Theories Laboratory and Information Processing group of the School of Communication and Computer Science and currently works at the interface of statistical mechanics, information theory and error correcting codes, inference and learning theory. He held long-term visiting appointments and collaborations with the University College and the Institute of Advanced studies in Dublin, the Ecole Normale Supérieure de Lyon, the Centre de Physique Theorique Luminy Marseille, Paris XI Orsay, the ETH Zürich and more recently Los Alamos National Lab. CV and publication list.
Ralf SeifertRalf W. Seifert is Professor of Technology & Operations Management (TOM) at the College of Management of Technology (CDM) at Ecole Polytechnique Fédérale de Lausanne (EPFL) since 2003. His primary research and teaching interests relate to operations management, supply chain strategy and technology network management. He is also active in industry analysis, international project work and new venture formation.
Based on his work with companies, Professor Seifert has co-authored more than 30 case studies covering different industries. These efforts have been recognized by multiple international case awards granted by EFMD in 2018, 2012, 2009 and 2003, ECCH in 2011 and 2006, as well as POMS in 2004. He continues to actively research issues of supply chain strategy, supply chain finance and technology management and has more than 70 articles and international conference presentations to his credit. In addition, he co-authored two books: one focused on strategic supply chain management and another one concerning start-up challenges of technology ventures.
In parallel to his appointment at EPFL, he continues to serve a position at IMD, were he has been appointed Professor of Operations Management in 2000. Prior to joining IMD, Professor Seifert studied and worked in Germany, Japan and the US. He earned PhD and MS degrees in Management Science at Stanford University, a Diplom Ingenieur degree in Mechanical Engineering at the Karlsruhe Institute of Technology (KIT) and a Master's degree in Integrated Manufacturing Systems Engineering from North Carolina State University. While in the US, he consulted for Hewlett-Packard and served as Teaching and Research Assistant at Stanford University. In Germany he worked for Booz & Company, McKinsey & Company and Freudenberg & Co. In addition, he spent one year as a Visiting Scholar in Operations Research at Waseda University in Tokyo.
