Dominique de WerraDominique de Werra was born in Switzerland in 1942. He graduated in physical engineering at EPFL in 1965, and in 1969, a doctorate in technical sciences.
From 1969 to 1971 he was professor at Waterloo University (Canada) in the Management Sciences department. He has been a visiting professor in various European and American High Schools. In 1971 he became professor of Operations Research in Mathematics at EPFL. In 1990, he was appointed Vice President of EPFL and in addition, he became Director of training in autumn 1993.
His research focuses on discrete mathematics (combinatorial optimization, graph theory, algorithms, etc.) and their applications to industrial and informatics technology.
He has participated and directed several interdisciplinary projects in production, distribution, energy and scheduling. His work leads in particular to the time management problem and specifically to calendar management for important projects (sports, education, etc.).
In 1987-1988, he chaired the EURO association which encompasses the Operational Research in Europe. He is Dr. h.c. of Paris University and Ecole Polytechnique in Poznan, and he was the winner of the European gold medal (EURO) of Operational Research in 1995. In March 2000 he was appointed Dean of International Affairs.
François AvellanProf. François Avellan, director of the EPFL Laboratory for Hydraulic Machines, graduated in Hydraulic Engineering from Ecole nationale supérieure d'hydraulique, Institut national polytechnique de Grenoble, France, in 1977 and, in 1980, got his doctoral degree in engineering from University of Aix-Marseille II, France. Research associate at EPFL in 1980, he is director of the EPFL Laboratory for Hydraulic Machines since 1994 and, in 2003, was appointed Ordinary Professor in Hydraulic Machinery. Supervising 37 EPFL doctoral theses, he was distinguished by SHF, Société hydrotechnique de France, awarding him the "Grand Prix 2010 de l'hydrotechnique". His main research domains of interests are hydrodynamics of turbine, pump and pump-turbines including cavitation, hydro-acoustics, design, performance and operation assessments of hydraulic machines. Prof. Avellan was Chairman of the IAHR Section on Hydraulic Machinery and Systems from 2002 to 2012. He has conducted successfully several Swiss and international collaborative research projects, involving key hydropower operators and suppliers, such as:
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Coordination for the FP7 European project n° 608532 "HYPERBOLE: HYdropower plants PERformance and flexiBle Operation towards Lean integration of new renewable Energies" (2013-2017);
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Deputy Head of the Swiss Competence Center for Energy Research – Supply of Electricity (SCCER-SoE) to carry out innovative and sustainable research in the areas of geo-energy and hydropower for phase I (2013-2016) and Phase II (2017, 2010) to be approved.
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EUREKA European research projects: N° 4150 and N° 3246, "HYDRODYNA, Harnessing the dynamic behavior of pump-turbines", (2003-2011), N° 1605, "FLINDT, Flow Investigation in Draft Tubes", http://flindt.epfl.ch/, (1997-2002). N° 2418, "SCAPIN, Stability of Operation of Francis turbines, prediction and modeling";
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Swiss KTI/CTI research projects with GE Renewable Energy (anc. ALSTOM Hydro), Birr, ANDRITZ Hydro, Kriens, FMV, Sion, Groupe E, Granges-Paccot, Power Vision engineering, Ecublens and SULZER Pumps, Winterthur.
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ETH Domain, HYDRONET Project for the Competence Center Energy and Mobility, PSI Villingen.
Furthermore, he is involved in scientific expertise and independent contractual experimental validations of turbines and pump turbines performances for the main hydropower plants in the world. In recognition for his work as Convenor of the TC4 working group of experts in editing the IEC 60193 standard he received the "IEC 1906 Award" from the International Electrotechnical Commission. André SchiperAndré Schiper graduated in Physics from the ETHZ in Zurich in 1973 and received the PhD degree in Computer Science from EPFL in 1980. He has been a professor of computer science at EPFL since 1985, leading the Distributed Systems Laboratory. During the academic year 1992-1993 he was on sabbatical leave at the University of Cornell, Ithaca, New York (working with Ken Birman and Aleta Ricciardi), and in 2004-2005 at the Ecole Polytechnique in Palaiseau, France (working with Bernadette Charron-Bost). His research interests are in the area of dependable distributed systems, middleware support for dependable systems, replication techniques (including for database systems), group communication, distributed transactions, and MANETs (mobile ad-hoc networks).
Prof. Schiper is member of the editorial boards of
Distributed Computing (DC), Springer Verlag - ACM,
Transactions on Dependable and Secure Computing (TDSC), IEEE,
International Journal of Security and Networks (Inderscience).
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.
