Pascale Van LanduytExpertise
Engineer in materials science with a doctorate in biomedical, Pascale Van Landuyt is a specialist in business-academia innovation. For more than 15 years, she has been working at the Vice-Presidency for Innovation of EPFL with the mission to support companies in their innovation journey. Her technical areas of expertise include materials, medtech, biotech, pharma and food. She has supported numerous projects that have received cantonal, Innosuisse or European funding.In January 2024, she took over
Bob de GraffenriedExpertise
Soft skills : esprit critique, esprit d'équipe, autonomie, sens de l'organisation et des responsabilités, communication.Hard skills : acquisition de données, imagerie, électronique, programmation, informatique, drone, mécanique, mesures in-situ.
Mission
Responsable technique de l'unité & encadrement de doctorants/civilistes/étudiants.Réalisation d'expériences de laboratoire pour les chercheurs :Conception de modèles physiques (canaux, plans inclinés, alimentations en sédiments etc.) ;Installation
Sébastien Philippe SoubielleExpertise
Ingénierie et construction de machines -- Normalisation technique -- Dessin technique -- Assemblages boulonnés -- Roues dentées et engrenages -- Machines-outils et machines spéciales -- Sécurité machine (2006/42/CE)
Curriculum vitae 2016 - 2019 : Ingénieur constructeur -- Bumotec SA Machines-outils 5 axes / horlogerie - joaillerie - medtech - défense.2011 - 2015 : Ingénieur constructeur -- Applied MaterialsMachines spéciales pour la production de panneaux solaires photovoltaïques.2010 : Ingénieur
Bertrand Hervé Laurent LacourEnseignement et PhD Cours Construction mécanique I (pour GM) ME-101 Le cours ME-101 vise à l'acquisition des règles et du langage normalisé de la communication technique, et des bases de la conception mécanique.Ce cours intègre des travaux pratiques d'initiation à la Conception Assistée par Ordinateur avec le logiciel CATIA V5. Construction mécanique I (pour MT) ME-106 Le cours ME-106 vise à l'acquisition des règles et du langage normalisé de la communication technique, et d
Dario FloreanoProf. Dario Floreano is director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). Since 2010, he is the founding director of the Swiss National Center of Competence in Robotics, a research program that brings together more than 20 labs across Switzerland. Prof. Floreano holds an M.A. in Vision, an M.S. in Neural Computation, and a PhD in Robotics. He has held research positions at Sony Computer Science Laboratory, at Caltech/JPL, and at Harvard University. His main research interests are Robotics and A.I. at the convergence of biology and engineering. Prof. Floreano made pioneering contributions to the fields of evolutionary robotics, aerial robotics, and soft robotics. He served in numerous advisory boards and committees, including the Future and Emerging Technologies division of the European Commission, the World Economic Forum Agenda Council, the International Society of Artificial Life, the International Neural Network Society, and in the editorial committee of several scientific journals. In addition, he helped spinning off two drone companies (senseFly.com and Flyability.com) and a non-for-profit portal on robotics and A.I. (RoboHub.org). Books
Manuale sulle Reti Neurali, il Mulino (in Italian), 1996 (first edition), 2006 (second edition)Evolutionary Robotics, MIT Press, 2000
Bio-Inspired Artificial Intelligence, MIT Press, 2008
Flying Insects and Robots, Springer Verlag, 2010
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Michael GraetzelProfessor of Physical Chemistry at the Ecole polytechnique fédérale de Lausanne (EPFL) Michael Graetzel, PhD, directs there the Laboratory of Photonics and Interfaces. He pioneered research on energy and electron transfer reactions in mesoscopic systems and their use to generate electricity and fuels from sunlight. He invented mesoscopic injection solar cells, one key embodiment of which is the dye-sensitized solar cell (DSC). DSCs are meanwhile commercially produced at the multi-MW-scale and created a number of new applications in particular as lightweight power supplies for portable electronic devices and in building integrated photovoltaics. They engendered perovskite solar cells (PSCs) which turned into the most exciting break-through in the history of photovoltaics. He received a number of prestigious awards, of which the most recent ones include the RusNANO Prize, the Zewail Prize in Molecular Science, the Global Energy Prize, the Millennium Technology Grand Prize, the Marcel Benoist Prize, the King Faisal International Science Prize, the Einstein World Award of Science and the Balzan Prize. He is a Fellow of several learned societies and holds eleven honorary doctor’s degrees from European and Asian Universities. His over 1500 publications have received some 220’000 citations with an h-factor of 218 (SI-Web of Science) demonstrating the strong impact of his scientific work.
Amir JafargholiEnseignement et PhD Doctorant·es actuel·les Senlu Zhou Cours Antennas EE-446 Les étudiants apprendront d'abord les principes fondamentaux des antennes et se familiariseront avec les types principaux. Dans un deuxième temps, ils travailleront en groupe sur un projet de design d'antennes. Ceci leur permettra d'acquérir des compétences en simulation et en mesure d'antennes.
