Michel BierlaireBorn in 1967, Michel Bierlaire holds a PhD in Mathematical Sciences from the Facultés Universitaires Notre-Dame de la Paix, Namur, Belgium (University of Namur). Between 1995 and 1998, he was research associate and project manager at the Intelligent Transportation Systems Program of the Massachusetts Institute of Technology (Cambridge, Ma, USA). Between 1998 and 2006, he was a junior faculty in the Operations Research group ROSO within the Institute of Mathematics at EPFL. In 2006, he was appointed associate professor in the School of Architecture, Civil and Environmental Engineering at EPFL, where he became the director of the Transport and Mobility laboratory. Since 2009, he is the director of TraCE, the Transportation Center. From 2009 to 2017, he was the director of Doctoral Program in Civil and Environmental Engineering at EPFL. In 2012, he was appointed full professor at EPFL. Since September 2017, he is the head of the Civil Engineering Institute at EPFL. His main expertise is in the design, development and applications of models and algorithms for the design, analysis and management of transportation systems. Namely, he has been active in demand modeling (discrete choice models, estimation of origin-destination matrices), operations research (scheduling, assignment, etc.) and Dynamic Traffic Management Systems. As of August 2021, he has published 136 papers in international journals, 4 books, 41 book chapters, 193 articles in conference proceedings, 182 technical reports, and has given 195 scientific seminars. His Google Scholar h-index is 68. He is the founder, organizer and lecturer of the EPFL Advanced Continuing Education Course "Discrete Choice Analysis: Predicting Demand and Market Shares". He is the founder of hEART: the European Association for Research in Transportation. He was the founding Editor-in-Chief of the EURO Journal on Transportation and Logistics, from 2011 to 2019. He is an Associate Editor of Operations Research. He is the editor of two special issues for the journal Transportation Research Part C. He has been member of the Editorial Advisory Board (EAB) of Transportation Research Part B since 1995, of Transportation Research Part C since January 1, 2006.
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.
Reymond ClavelReymond CLAVEL obtained his degree in mechanical engineering at the Federal Institute of Technology of Lausanne (EPFL), Switzerland, in 1973. After nine years of gathered experience in industrial plants at Hermes Precisa International (research and development), he was appointed professor at the EPFL, where he obtained his PhD degree in parallel robotics in 1991. He was then consecutively entrusted with the following positions: Head of the department, Director of the Section of micro engineering and, in 1993, Director of the Laboratory of robotics systems (LSRO). His present research topics are parallel robotics, high speed and high precision robotics, medical and surgical robotics applications, surgical instrumentation and precision mechanisms.
Reymond Clavels research successes in parallel and industrial robotics received worldwide special mentions.
Awards :
1989: Laureate of the JIRA AWARD (Japan Industrial Robot Association) for the DELTA parallel robot invented in 1985.
1996: Project winner of the Technologiestandort Schweiz competition and ABB Sonderpreis for the best robotics project.
1998: His laboratory is awarded the Grand Prix de lInnovation in Monaco for new robot technologies.
1999: Laureate of the Golden Robot Award for the DELTA Robot.
2003: Each of his three different submitted projects received the Swiss Technology Award.
2005: Project winner of the Swiss Technology Award competition with further the Sonderpreis 2005 from the Vontobel Foundation in the field of Inventing the future.
2006: Project winner of the Swiss Technology Award competition with Quantum leap into world of nano-EDM (a new high precision EDM machine based on the Delta kinematics).
2007: Two projects based on the LSROs researches are winner of the Swiss Technology Award competition: Cyberthosis for paraplegia rehabilitation (a collaboration with the company Swortec and the Fondation Suisse pour les Cyberthèses (FSC)) and the Microfactory realized in partnership with the CSEM .
Yves BellouardDr. Yves Bellouard is Associate Professor in Microengineering at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, where he heads the Galatea lab and the Richemont Chair in micromanufacturing. He received a BS in Theoretical Physics and a MS in Applied Physics from Université Pierre et Marie Curie in Paris, France in 1994-1995 and a PhD in Microengineering from Ecole Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland in 2000. For his PhD work, he received the Omega Scientific prize (2001) for outstanding contribution in the field of microengineering for his work on Shape Memory Alloys. Before joining EPFL in 2015, he was Associate Professor at Eindhoven University of Technologies (TU/e) in the Netherlands and prior to that, Research Scientist at Rensselaer Polytechnic Institute (RPI) in Troy, New York for about four years where he started working on femtosecond laser processing of glass materials. From 2010 until 2013, Yves Bellouard initiated and coordinated the Femtoprint project, a European research initiative aiming at investigating a table-top printer for microsystems ('3D printing of microsystems'). In 2013, he received a prestigious ERC Starting Grant (Consolidator-2012) from the European Research Council and a JSPS Fellowship from the Japan Society for the Promotion of Science. His current research interests are on new paradigms for system integration at the microscale and in particular laser-based methods to tailor material properties for achieving higher level of integration in microsystems, like for instance integrating optics, mechanics and fluidics in a single monolith. These approaches open new opportunities for direct-write methods of microsystems (3D printing). Personal website
Maryam KamgarpourMaryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant.
