Fabrizio SossanExpertise
Mathematical Modelling, Forecasting and Optimization for Power System Applications
Enseignement et PhD Doctorant·es actuel·les Keyu Jia A co-dirigé les thèses EPFL de Yihui Zuo, Mohsen Kalantar Neyestanaki, Rahul Kumar Gupta Cours Energy storage systems EE-466 Ce cours présente les principales technologies de stockage d'énergie, leurs attributs, leurs modèles mathématiques et leurs applications (stationnaires et mobiles), de la conception à l'exploitation et au contrôle, avec un
Jérôme ChenalExpertise
UrbanismePlanification urbaineGestion urbaineProcessus d
Situation actuelle
Directeur du Centre "Excellence in Africa "Directeur de la CEATProfesseur affilié UM6P
Associations prof. et activités académiques Membre du Conseil d'administration de l'Université Senghor, Alexandrie (2025-2029)Directeur du Board of Directors de l'African Cities LabEditeur de l'African Cites JournalPrésident de la Biennale Africaine d'Architecture et d'urbanisme (BAAU)Médias Jérôme Chenal, la passion des villes et de l'A
Mathieu SalzmannI am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.
Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
Georgia SotiropoulouExpertise
• Clouds: macro- & micro- physical, radiative, thermodynamic & dynamical processes • Remote sensing of clouds & thermodynamics • Boundary-layer processes • Atmospheric modeling (large-eddy, weather prediction & climate models)
Expertise
• Clouds: macro- & micro- physical, radiative, thermodynamic & dynamical processes • Remote sensing of clouds & thermodynamics • Boundary-layer processes • Atmospheric modeling (large-eddy, weather prediction & climate models)
Jan Van HerleNé à Anvers, Belgique, 1966. En Suisse depuis 1983. Naturalisé Suisse en 2004 par persuasion de la culture suisse démocratique et participative 'bottom-up'. Pas de double nationalité. Conseiller communal durant 2 mandats de 5 ans de 2006 à 2016.
1987 : Chimiste de l'Université de Bâle (CH).
1988 : Post-grade informatique de l'Ecole d'Ingénieurs de Bâle.
1989 : Stage industriel chez ABB à Baden (CH).
1990-1993 : Thesè EPFL
1994-1995 : Postdoc au Japon (Tokyo).
1996-2000 : Chercheur à l'EPFL, Dpt. Chimie, responsable de groupe.
1998-2000 : Master en Energy Technology, EPFL.
2000 : Cofondateur de HTceramix SA (EPFL spin-off), à Yverdon (actuellement 12 employés). La maison mère SOLIDpower en Italie, qui a acheté notre technologie en 2007, emploie 250 personnes et a levé 70 MCHF.
2000-2012 : 1er Assistant et chargé de cours en STI-IGM. Promu à MER en 2008.
2013-présent: MER responsable d'unité.
Output : 135 publications, 120 papiers de conférence, 15 théses de doctorat, 4 thèses en cours, 37 thèses de master. Facteur h-42, >5000 citations.
Fonds levés jusqu'à présent >19 MCHF.
5 langues couramment (néerlandais, français, allemand (y.c. suisse-allemand), anglais, espagnol).
Guillaume Romain ObozinskiGuillaume Obozinski est Chef Data Scientist Adjoint au Swiss Data Science Center. Il a reçu le diplôme de doctorat en Statistiques de l'Université de Californie à Berkeley en 2009. Post-doc puis chercheur dans les équipes Willow et Sierra à l'INRIA / Ecole Normale Supérieure à Paris jusqu'en 2012, il a été chercheur à l'Ecole des Ponts ParisTech à Paris jusqu'en 2018. Ses domaines d'expertise sont principalement en apprentissage automatique, en statistique et en optimisation. Il a travaillé au fil du temps sur les méthodes d'apprentissage parcimonieux, les techniques d'optimisation pour l'apprentissage, les modèles graphiques probabilistes, l'apprentissage relationnel et les représentations vectorielles sémantiques. Il est intéressé par l'application de ces techniques à tous les domaines des data sciences, depuis la biologie computationnelle à l'analyse automatique d'images.
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ Christian Ludwig2005 - today: Adjunct Professor at EPFL in the field of Solid Waste Treatment and head of the Chemical Processes and Materials research group (CPM) at Paul Scherrer Institute (PSI). Joint EPFL-PSI Professorship on Solid Waste Treatment. 2000 - today: Head, Group of Chemical Processes and Materials (CPM) at Paul Scherrer Institut (PSI). In 2009 the LEM unit was closed and the CPM group is now affiliated to the Bioenergy and Catalysis Laboratory (LBK) of the Energy and Environment Research Division (ENE). Since June 2002 permanent position ("tenure"). 1997 - 1999: Senior Scientist. Paul Scherrer Institut (PSI), General Energy Research Department, Element Cycles Section. 1995 - 1997: Research Fellow. Swiss Federal Institute for Environmental Science and Technology (EAWAG), Department of Resource and Waste Management. 1993 - 1995: Post-doc Fellow. University of California Davis, Department of Land, Air, and Water Resources (LAWR). 1990 - 1993: PhD Student. University of Berne, Department of Inorganic, Analytical, and Physical Chemistry. 1989 - 1990: Master Student. University of Berne, Department of Inorganic, Analytical, and Physical Chemistry.
Jean-Paul Richard KneibEnseignement et PhD Doctorant·es actuel·les Oliver Pineda Suarez, Robert Daniel Kincaid, Ethan Daniel Tregidga, Belén Yu Irureta-Goyena Chang, Elisabeth Andréa Cécile Rachith, Shengyu He, Aurélien Thomas Mathieu Verdier, Timour Jestin A dirigé les thèses EPFL de Markus Rexroth, Luzius Gregor Kronig, Christoph Ernst René Schäfer, Vasileios Angelopoulos, Michaël Juillard, Amélie Tamone, Andrei Variu, Yoan Rappaz, Anne-Marlene Rüede, Jiaxi Yu, Daniel Felipe Forero Sanchez, Beauchesne Benjamin Emmanuel Nicola
Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
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.
Eugen BrühwilerExpertise
structural and material engineering of existing civil structures in particular bridges of high cultural value; fatigue, dynamics and structural behaviour of bridges; Ultra-high performance fiber reinforced cementitious composites and composite UHPFRC - RC structures.
Expertise
structural and material engineering of existing civil structures in particular bridges of high cultural value; fatigue, dynamics and structural behaviour of bridges; Ultra-high performance fiber reinforced cementitious compo
Wolf Hendrik HuwaldDr. Hendrik Huwald is a scientist at the Laboratory of Cryospheric Sciences (CRYOS) and a lecturer at the Environmental Sciences and Engineering Section (SSIE) of the Swiss Federal Institute of Technology in Lausanne (EPFL). He completed his PhD in 2003 at the Swiss Federal Institute of Technology in Zürich (ETHZ), developing a numerical model for sea ice and studying energy transfer processes in the Arctic. Between 2005 and 2012 he was a post-doctoral fellow and scientist at the Laboratory of Environmental Fluid Mechanics and Hydrology (EFLUM) of EPFL working on Alpine snow-atmosphere interaction, and energy balance-related research mainly in mountain regions. During this time, he designed, led and participated in numerous large field experiments in different environments. In 2013 he joined the newly founded CRYOS laboratory where he conducted research in the domains of snow science, hydrology, boundary layer meteorology and environmental sensing. He has extensive experience with project management both on national and international level.
