Luc ThévenazDe nationalité suisse et né à Genève, Luc Thévenaz a obtenu en 1982 le diplôme de physicien, mention astrophysique, de l'Université de Genève et le doctorat ès sciences naturelles, mention physique, en 1988 de l'Université de Genève. C'est durant ces années de thèse qu'il a développé son domaine d'excellence, en l'occurrence les fibres optiques et leurs applications. En 1988, Luc Thévenaz a rejoint l'Ecole Polytechnique Fédérale de Lausanne (EPFL), où il dirige actuellement un groupe de recherche en photonique, notamment en optique dans les fibres et dans les capteurs. Ses domaines de recherche couvrent les capteurs à fibre optique basés sur la diffusion Brillouin, l'optique non-linéaire dans les fibres, la lumière lente et rapide et la spectroscopie laser dans les gaz. Ses réalisations principales sont: - l'invention d'une configuration innovante pour les capteurs répartis Brillouin, basée sur l'emploi d'une seule source laser, ce qui lui donne une grande stabilité intrinsèque et qui a permis de réaliser les premières mesures hors laboratoire avec ce type de capteur; - le développement d'un capteur de gaz à l'état de traces, basé sur une détection photoacoustique et utilisant une source laser à semi-conducteur dans le proche infra-rouge, pouvant détecter une concentration du gaz au niveau du ppb; - la première démonstration expérimentale de lumière lente et rapide dans les fibres optiques qui puissent être contrôlées par un autre faisceau lumineux, réalisées à température ambiante et fonctionnant à n'importe quelle longueur d'onde grâce à l'exploitation de la diffusion Brillouin. La première vitesse de groupe négative dans les fibres a aussi été démontrée selon le même principe. En 1991, il a visité l'Université PUC de Rio de Janeiro au Brésil, où il a travaillé sur la génération d'impulsions picoseconde avec des diodes laser. En 1991-1992 il a travaillé à l'Université de Stanford aux USA, où il a participé au développement d'un gyroscope basé sur un laser Brillouin à fibre. Il a rejoint en 1998 l'entreprise Orbisphere Laboratories SA à Neuchâtel en Suisse en tant qu'expert scientifique, avec pour tâche de développer des capteurs de gaz à l'état de traces, basés sur la spectroscopie laser photoacoustique. En 1998 and 1999 il a visité le Korea Advanced Institute of Science and Technology (KAIST) à Daejon en Corée du Sud, où il a travaillé sur des capteurs de courant électrique utilisant un laser à fibre optique. En 2000 il a été un des co-fondateurs de l'entreprise Omnisens SA à Morges en Suisse, qui développe et commercialise de l'instrumentation et des capteurs optiques de pointe. En 2007 il a visité l'Université de Tel Aviv, où il a étudié le contrôle tout-optique de la polarisation de la lumière dans les fibres optiques. Durant l'hiver 2010, il a séjourné à l'Université de Sydney en Australie (CUDOS: Centre for Ultrahigh bandwidth Devices for Optical Systems) où il a étudié les apllications de la diffusion Brillouin stimulée dans les guides d'onde à base de verres chalcogénures. En 2014, il a séjourné à L'Université Polytechnique de Valence en Espagne, où il a travaillé sur les applications photoniques pour les micro-ondes exploitant la diffusion Brillouin stimulée. Il a été membre du Consortium formé pour le projet européen FP7 GOSPEL "Gouverner la vitesse de la lumière", a été Président de l'Action Européenne COST 299 "FIDES: Les fibres optiques pour relever les nouveaux défis de la société de l'information" et est auteur ou co-auteur de quelques 480 publications et 12 brevets. Il est actuellement Coordinateur du projet H2020 Marie Skłodowska-Curie Innovative Training Networks FINESSE (FIbre NErve Systems for Sensing). Il est co-Editeur-en-Chef de la revue "Nature Light: Science & Applications" et Membre du Comité Editorial (Editeur Associé) de la revues suivantes: "APL Photonics" et "Laser & Photonics Reviews". Il a été élevé au rang de "Fellow" par l'IEEE, ainsi que par la Société Optique (OSA).
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).
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
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).
Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Mohammad Amin ShokrollahiAmin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes, an area in which he holds a number of granted and pending patents. He is the co-inventor of Tornado codes, and the inventor of Raptor codes. His codes have been standardized and successfully deployed in practical areas dealing with data transmission over lossy networks.
Prior to joining EPFL, Amin Shokrollahi has held positions as the chief scientist of Digital Fountain, member of the technical staff at Bell Laboratories, senior researcher at the International Computer Science Insitute in Berkeley, and assistant professor at the department of computer science of the university of Bonn. He is a Fellow of the IEEE, and he was awarded the Best Paper Award of the IEEE IT Society in 2002 for his work on iterative decoding of LDPC code, the IEEE Eric Sumner Award in 2007 for the development of Fountain Codes, and the joint Communication Society/Information Theory Society best paper award of 2007 for his paper on Raptor Codes.
