Patrick JermannAfter studies in Geneva (TECFA) and Pittsburgh (LRDC) I joined EPFL in 2003 to coordinate eLearning projects and conduct research in the field of Computer Supported Collaborative Learning (CSCL). Starting 2013 I am responsible for MOOCs production at the Center for Digital Education (CEDE).Former Associate Editor for the IEEE Transactions on Learning Technologies and former Member of the Editorial Board for the International Journal of Computer Supported Collaborative Learning (iJCSCL). Specialties: Interaction analysis, research methods, statistical methods, prototyping, software development, pedagogical design.
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.
David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
Marilyne AndersenMarilyne Andersen est professeure ordinaire en technologies durables de la construction et dirige le Laboratoire Performance Intégrée au Design (LIPID) qu'elle a fondé en automne 2010. Elle a été Doyenne de la Faculté de l'Environnement Naturel, Architectural et Construit (ENAC) de l'EPFL de 2013 à 2018 et est la Directrice Académique du Smart Living Lab à Fribourg. Elle co-dirige également le Student Kreativity and Innovation Laboratory (SKIL) à l'ENAC.Avant de rejoindre l'EPFL, elle était professeure assistante puis associée (tenure-track) dans le Building Technology Group du MIT, au sein du Département d'Architecture, où elle a fondé et dirigé le MIT Daylighting Lab depuis 2004. Elle a aussi été professeure invitée à la Singapore University of Technology and Design en 2019. Marilyne Andersen détient un Master ès sciences en physique et s'est spécialisée dans l'éclairage naturel durant sa thèse dans la physique du bâtiment à l'EPFL au Laboratoire d'énergie solaire et de physique du bâtiment (LESO) ainsi qu'en tant que chercheuse invitée au Building Technologies Department du Lawrence Berkeley National Laboratory en Californie. Ses recherches se situent à l'interface entre sciences, ingénierie et architecture avec une attention spécifique sur l'impact de la lumière naturelle sur les occupants d'un bâtiment. Avec un focus sur les questions de confort, de perception et de santé et leurs implications énergétiques, ces efforts de recherche visent à une intégration plus profonde de la performance lumineuse et du confort intérieur dans le processus de conception, grâce à de nouvelles synergies avec d'autres domaines scientifiques, comme la chronobiologie et les neurosciences ainsi que la psychophysique ou l'informatique et l'imagerie digitale. Elle s'appuie sur ces recherches pour les étendre à la pratique architecturale à travers la startup OCULIGHT dynamics qu'elle a co-fondée, et qui offre des services spécialisés en éclairage naturel avec un accent particulier sur les effets psycho-physiologiques de la lumière naturelle sur les occupants d'un bâtiment. Elle est l'auteure de plus de 200 articles référés publiés dans des revues scientifiques et lors de conférences internationales, ainsi que la lauréate de plusieurs bourses et prix dont: le Daylight Award for Research (2016), onze prix et distinctions pour ses publications (2009, 2011, 2012, 2015, 2018, 2019, 2021) dont le Taylor Technical Talent Award 2009 décerné par la Illuminating Engineering Society, le 3M Non-Tenured Faculty Award (2009), le Mitsui Career Development Professorship au MIT (2008) et le prix EPFL de la Fondation Chorafas en durabilité attribué pour sa thèse (2005). Ses travaux de recherche ou d'enseignement ont été soutenus par des organisations professionnelles, institutionnelles et industrielles tels que les Fonds National pour la Recherche Scientifique (en Suisse et aux USA), la fondation Velux, le programme Européen Horizon 2020, la Boston Society of Architects, la MIT Energy Initiative et InnoSuisse. Elle a été la directrice et responsable académique de l'équipe suisse et son projet NeighborHub, qui a gagné la compétition U.S. Solar Decathlon 2017 avec 8 podiums sur 10 épreuves. Elle est membre du Conseil de la Fondation LafargeHolcim pour la construction durable et dirige son Comité Académique. Elle est également membre du conseil éditorial de la revue scientifique Building and Environment chez Elsevier ainsi que des revues LEUKOS (de la Illuminating Engineering Society) et Buildings and Cities chez Taylor et Francis. Elle est Experte pour le Conseil d'Innovation InnoSuisse ainsi que membre fondatrice et membre du Conseil de la Fondation Culture du Bâti (CUB). Elle est aussi membre fondatrice de la Daylight Academy et membre active de plusieurs comités de l'Illuminating Engineering Society (IES) et de la Commission Internationale de l'Eclairage (CIE).
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
Karl AbererCo-Founder of LinkAlong Sarl, 2017.Vice-president EPFL for Information Systems, 2012 –2016.Director of the Swiss National Centre for Mobile Information and Communication Systems NCCR MICS (mics.ch), 2005 -2012.Member of the Swiss Research and Technology Council SWTR, consulting the Swiss Federal government, 2004 - 2011.
Auke IjspeertAuke Ijspeert is a full professor at the EPFL, and head of the Biorobotics Laboratory (BioRob). He has a B.Sc./M.Sc. in physics from the EPFL (1995), and a PhD in artificial intelligence from the University of Edinburgh (1999). He carried out postdocs at IDSIA and EPFL, and at the University of Southern California (USC). He then became a research assistant professor at USC, and an external collaborator at ATR (Advanced Telecommunications Research institute) in Japan. In 2002, he came back to the EPFL as an SNF assistant professor. He was promoted to associate professor in October 2009 and to full professor in April 2016. His primary affiliation is with the Institute of Bioengineering, and secondary affiliation with the Institute of Mechanical Engineering. His research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He is interested in using numerical simulations and robots to get a better understanding of sensorimotor coordination in animals, and in using inspiration from biology to design novel types of robots and adaptive controllers. (see for instance Ijspeert et al Science 2007, Ijspeert Science 2014, and Nyakatura et al Nature 2019). He is also investigating how to assist people with limited mobility using exoskeletons and assistive furniture. He is regularly invited to give talks on these topics (e.g. TED talk given at TED Global Geneva, Dec 8 2015). With his colleagues, he has received paper awards at ICRA2002, CLAWAR2005, IEEE Humanoids 2007, IEEE ROMAN 2014, CLAWAR 2015, SAB2018, and CLAWAR 2019. He is an IEEE Fellow, member of the Board of Reviewing Editors of Science magazine, and associate editor for the IEEE Transactions on Medical Robotics and Bionics and for the International Journal of Humanoid Robotics. He has acted as an associate editor for the IEEE Transactions on Robotics (2009-2013) and for Soft Robotics (2018-2021). He was a guest editor for the Proceedings of IEEE, IEEE Transactions on Biomedical Engineering, Autonomous Robots, IEEE Robotics and Automation Magazine, and Biological Cybernetics. He has been the organizer of 7 international conferences (BioADIT2004, SAB2004, AMAM2005, BioADIT2006, LATSIS2006, SSRR2016, AMAM2019), and a program committee member of over 50 conferences.
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.
