André SchiperAndré Schiper obtenu un diplôme en physiques de l'ETHZ en 1973 et un doctorat en informatique de l'EPFL en 1980. Il est professeur en informatique à l'EPFL depuis 1985, à la tête du Laboratoire de systèmes distribués. Durant l'année académique 1992-1993, il fut en congé sabbatique à l'Université de Cornell, Ithaca, New York (travaillant avec Ken Birman and Aleta Ricciardi), et en 2004-2005 à l'Ecole Polytechnique à Palaiseau, France (travaillant avec Bernadette Charron-Bost).
Ses domaines de recherches sont dans le secteur de la dépendance des systèmes distribués, support middleware pour systèmes dépendants, techniques de réplication (incluant bases de données), communication de groupe, transactions distribuées et MANETs (réseaux mobiles ad-hoc).
Prof. Schiper est membre du comité editorial de
Distributed Computing (DC), Springer Verlag - ACM,
Transactions on Dependable and Secure Computing (TDSC), IEEE,
International Journal of Security and Networks (Inderscience).
Willy ZwaenepoelWilly Zwaenepoel received his B.S. from the University of Gent, Belgium in 1979, and his M.S. and Ph.D. from Stanford University in 1980 and 1984, respectively. In September 2002, he joined EPFL. He was Dean of the School of Computer and Communications Sciences at EPFL from 2002 to 2011. Before joining EPFL, Willy Zwaenepoel was on the faculty at Rice University, where he was the Karl F. Hasselmann Professor of Computer Science and Electrical and Computer Engineering.
He was elected Fellow of the IEEE in 1998, and Fellow of the ACM in 2000. In 2000 he received the Rice University Graduate Student Association Teaching and Mentoring Award. In 2007 he received the IEEE Tsutomu Kanai award. He was elected to the European Academy in 2009. He won best paper awards at SigComm 1984, OSDI 1999, Usenix 2000, Usenix 2006 and Eurosys 2007. He was program chair of OSDI in 1996 and Eurosys in 2006, and general chair of Mobisys in 2004. He was also an Associate Editor of the IEEE Transactions on Parallel and Distributed Systems from 1998 to 2002.
Willy Zwaenepoel has worked in a variety of aspects of operating and distributed systems, including microkernels, fault tolerance, parallel scientific computing on clusters of workstations, clusters for web services, mobile computing, database replication and virtualization. He is most well known for his work on the Treadmarks distributed shared memory system, which was licensed to Intel and became the basis for Intels OpenMP cluster product. His work on high-performance software for network I/O led to the creation of iMimic Networking, Inc, which he led from 2000 to 2005. His current interests include large-scale data stores and software testing. Most recently, his work in software testing led to the creation of BugBuster, a startup based in Lausanne.
Denis GilletDenis Gillet received the Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1988, and the Ph.D. degree in Information Systems also from the EPFL in 1995. During 1992 he was appointed as Research Fellow at the Information Systems Laboratory of Stanford University in the United States. He is currently Maître d'enseignement et de recherche at the EPFL School of Engineering, where he leads the React research group. His current research interests include Technologies Enhanced Learning (TEL), Human Computer Interaction (HCI), Human Devices Interaction (HDI) and Optimal Coordination of Complex and Distributed Systems. Denis Gillet is affiliated at EPFL with the Center for Intelligent Systems and the Center for Digital Education.
Mathias Josef PayerMathias Payer is a security researcher and professor at the EPFL school of computer and communication sciences (IC), leading the HexHive group. His research focuses on protecting applications in the presence of vulnerabilities, with a focus on memory corruption and type violations. He is interested in software security, system security, binary exploitation, effective mitigations, fault isolation/privilege separation, strong sanitization, and software testing (fuzzing) using a combination of binary analysis and compiler-based techniques. More details are available in his CV.
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
