Lothar HelmLothar Helm was born in Gernsbach (Germany) in 1952. He studied physics at the University of Karlsruhe (Germany) and obtained his diploma degree in 1977. He remained in Karlsruhe for his Ph.D. research with Prof. H. G. Hertz and received his degree in physical chemistry in 1980. In 1980 he joined the laboratories of Prof. André Merbach at the University of Lausanne, Switzerland. From 1983 to 2001 he was maître denseignement et de recherche at the Faculty of Science of the University of Lausanne. In 2001 he moved, together with the whole chemistry department, from the University of Lausanne to the Ecole Polytechnique Fédérale de Lausanne (EPFL). Since 2006 he is adjunct professor at the Institute of Chemical Sciences and Engineering at EPFL and director of the NMR services of the institute.
From 2007 to 2011 he was director of the "Conférence du corps Enseignant" at EPFL. Since 2011 he is member of the School Assembly of EPFL (AE).
MAIN RESEARCH INTERESTS:
Physico-chemical studies of contrast agents for medical magnetic resonance imaging (MRI)
Study of reactivity and reaction mechanisms in coordination chemistry by variable temperature and pressure nuclear magnetic resonance
Computer simulation of solvent dynamics on cations and metal complexes in solution
Professional course
Marcel DrabbelsD'origine néerlandaise, Marcel Drabbels est né à Venray en 1966. Il a fait ses études en physique expérimentale à l'Université de Nijmegen et a obtenu son titre de docteur en 1993 dans cette même université. Il a ensuite poursuivi des études postdoctorales à l'Université de Californie à Santa Barbara où il a effectué des recherches dans le domaine de la dynamique des molécules dans des états vibrationnels hautement excités et a développé une nouvelle technique de détection pour l'étude de la photodissociation des molécules. En 1996, il est retourné aux Pays-Bas pour joindre le FOM Institute for Atomic and Molecular Physics à Amsterdam où il a mis au point un nouveau type de " streak cameras " pour linfrarouge. En 1997, M. Drabbels a été nommé membre de lAcadémie Royale Hollandaise des Sciences et a poursuivi sa carrière à lUniversité Libre dAmsterdam. Il y a étudié la dynamique des collisions de molécules et a initié des expériences de photodissociation en utilisant des lasers ultrarapides. Il a été nommé Maître d'Enseignement et Recherche (MER) à partir du 1er octobre 1998 au Département de chimie de l'EPFL. Il se consacre à l'étude de la dynamique nanoscopique. En mars 2021, il est promu professeur titulaire.
Andreas ZüttelEnseignement et PhD Doctorant·es actuel·les Boyu Ouyang, Wai Kwan Liu, Guillaume Bérenger Rod, Aleksandar Mihaylov Mikov, Rui Li, Akhil Varma Penmathsa A dirigé les thèses EPFL de Robin Tobias Andreas Mutschler, Kun Zhao, Loris Giovanni Lombardo, Mo Li, Jie Zhang, Youngdon Ko, Cedric David Koolen, Thi Ha My Pham, Zohreh Akbari, Yasemen Kuddusi Cours Thermodynamics of energy conversion and storage ChE-414 Intro à la conversion d'énergie. Accent mis sur la thermodynamique des moteurs système
Nicolas GrandjeanNicolas Grandjean received a PhD degree in physics from the University ofNice Sophia Antipolis in 1994 and shortly thereafter joined the French National Center for Scientific Research (CNRS) as a permanent staff member. In 2004, he was appointed tenure-track assistant professor at the École polytechnique fédérale de Lausanne (EPFL) where he created the Laboratory for advanced semiconductors for photonics and electronics. He was promoted to full professor in 2009. He was the director of the Institute of Condensed Matter Physics from 2012 to 2016 and then moved to the University of California at Santa Barbara where he spent 6 months as a visiting professor. Since 2018, he is the head of the School of Physics at the EPFL. He was awarded the Sandoz Family Foundation Grant for Academic Promotion, received the “Nakamura Lecturer” Award in 2010, the "Quantum Devices Award” at the 2017 Compound Semiconductor Week, and “2016 best teacher” award from the EPFL Physics School. His research interests are focused on the physics of nanostructures and III-V nitride semiconductor quantum photonics.
Gabor LaurenczyTitle
External Member of the Hungarian Academy of Sciences
Enseignement et PhD A dirigé les thèses EPFL de Christian Ohlin, Céline Fellay, Weijia Gan, Katerina Stefania Sordakis, Mickael Montandon-Clerc, Cornel Fink, Lu Chen A co-dirigé les thèses EPFL de Séverine Joëlle Moret, Felix Daniel Bobbink
Sophia BeckerExpertise
Computational and theoretical neuroscienceReinforcement learning
Berend SmitEnseignement et PhD Doctorant·es actuel·les Anastasia Blokhina, Raluca-Ana Kessler, Seyed Amirmohammad Elahi, Juliette Veronique Schleicher, Yutao Li, Xin Jin, Sara Bassetta, Beatriz Bueno Mouriño A dirigé les thèses EPFL de Samantha Lynn Anderson, Daniele Ongari, Andrzej Gladysiak, Seyedmohamad Moosavi, Arunraj Chidambaram, Bardiya Valizadeh, Stavroula Kampouri, Fatmah Ebrahim, Fatma Pelin Uran, Andres Adolfo Ortega Guerrero, Kevin Maik Jablonka, Elias Moubarak, Sauradeep Majumdar, Miriam Jasmin Pougin,
Albert RenkenEnseignement et PhD A dirigé les thèses EPFL de Serge Maeder, Jacques Membrez, Stéphane Porchet, Philippe Menoud, Brigitta Frank, Harvey Randall, Wolfgang Zimmerer, Frédéric Van Vyve, Serge Golay, Jianzhong Yang, Stéphane Dubuis, Philippe Warnery, Anders Nattorp, Christian Spühler, Laurent Cavin, Miriam Lorenzi, Bastien Monnerat, André Rouge, Olivier Wolfrath, Peter Stahl, Ralf Maurer, Konrad Geissler, Volker Höller, Benoît Louis, Pierre Reuse, Fabio Rainone, Eric Joannet, Chrystèle Horny A co-dirigé les th
Paolo De Los RiosEnseignement et PhD Doctorant·es actuel·les María Li López Bautista, Subhasis Dehury, Lisa Gennai A dirigé les thèses EPFL de Giovanni Salvi, Thomas Petermann, David Gfeller, Cécile Caretta Cartozo, David Morton de Lachapelle, Carlo Maffi, Lucio Floretta, Salvatore Assenza, Duccio Malinverni, Alberto Stefano Sassi, Andrea Martini, Solange Flatt, Adélaïde Alice Mohr, Shiling Liang, Alexandra Shelest, Davide Cois A co-dirigé les thèses EPFL de Lorenzo Talamanca Cours EDCB seminar series BIOENG-606
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.
Roland John TormeyI am a sociologist and learning scientist researching and teaching on engineering education. I'm particularly focused on the roles of emotion and self-regulation in engineering teaching and learning. My profile is accessible here.
Alan HowlingEnseignement et PhD A dirigé les thèses EPFL de Juliette Ballutaud A co-dirigé les thèses EPFL de Boris Legradic, Michaël Chesaux, Ralph Schnyder, Riccardo Agnello
Paul Joseph DysonPaul Dyson rejoignit l’EPFL en 2002 à la tête du Laboratoire de chimie organométallique et médicinale de l’Institut des sciences et ingénierie chimiques, dont il en assuma ensuite la direction entre 2008 et 2016.
Le prof. Dyson a été récompensé par de nombreux prix dont le Prix Werner de la Société Suisse de Chimie en 2004, le Prix pour les réalisations exceptionnelles en chimie bio organométallique en 2010, la Médaille du Centenaire de la naissance de Luigi Sacconi (2011) de la Société Italienne de Chimie, le Prix de Chimie bio-inorganique de la Royal Society of Chemistry en 2015, le Prix européen pour une chimie durable de la Société Européenne de Chimie en 2018 et le Prix pour la chimie verte de la Royal Society of Chemistry en 2020.
Le prof. Dyson est également mentionné dans la liste établie par Clarivate des chercheurs les plus cités (Clarivate Highly Cited Researcher), avec un H-index >110 (Web of Science et Google Scholar). Paul Dyson a été élu membre de la Royal Société de Chimie en 2010, membre de l’Académie Européenne des Sciences en 2019 et membre à vie de l’Association Américaine pour l’Avancement de la Science en 2020. Au cours des dernières années il s’est vu décerner le titre de Professeurs Hôte par l’Université de Bourgogne, l’Université de Pierre et Marie Curie, l’Université de Vienne, l’Université de Rome Tor Vergara, l'Ecole Nationale Supérieure de chimie de Paris (Chimie ParisTech) et par l’Université de Shangai Jiao Tong.
De 2016 à 2021 il était membre du conseil de la recherche de la division de mathématique, sciences naturelles et de l’ingénieur du Fonds National Suisse. En 2021, il a été nommé doyen de la Faculté des Sciences de Base.
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
Emad OveisiDr Emad Oveisi is a senior scientist at the Interdisciplinary Centre for Electron Microscopy (CIME), EPFL.
Emad received a BSc in Metallurgy and Materials Engineering (2005) and an MSc in Materials Science (2008) both from the University of Tehran (Iran). He graduated with a PhD in Materials Science and Engineering at EPFL in 2014 for a thesis on the "Three-Dimensional STEM Imaging of Dislocations" under the direction of Prof. Cécile Hébert. The PhD thesis at the Electron Spectrometry and Microscopy Laboratory (LSME), served as an introduction to many of the advanced microscopy techniques that have proven to be a platform for his research career. A post-doctoral research at the centre for electron microscopy gave him the opportunity to peruse a cutting-edge research on one of the most modern aberration-corrected transmission electron microscopes.Since the inauguration of the Energypolis campus of EPFL in Sion, he has been the manager and reference scientist of the electron microscopy platform of EPFL-Valais, working with 9 research groups and more than 200 researchers. In addition to this core responsibility, he provides advanced microscopy consulting and service to EPFL scientists and assist their research to the highest level possible.
Emad Oveisi’s research focuses on the application and development of novel electron microscopy techniques, with emphasis on 3D imaging of crystal defects, as well as the precision measurement of materials properties using aberration-corrected S/TEM. In 2018, he received the prestigious Microscopy Innovation Award for inventing “Single-shot three-dimensional electron imaging”, a novel technique that enables 3D imaging of in situ dynamics.
In 2016 Emad was elected as an interim representative for the scientific staff ("corps intermédiaire") to the Council of the Institute of Chemistry (ISIC). Since 2019, he is a member of EPFL Teachers’ Council (CCE) and has been elected as one of its four bureau members. This role allows him to be exposed to new ideas and pedagogical challenges, as well being involved in discussions with the Vice Presidency of Education (VPE) and other teaching organisations for defining teaching strategies at the EPFL.
Johanni Michael BreaEnseignement et PhD Doctorant·es actuel·les Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Cours Biological data science II : machine learning BIO-322 Les étudiants comprennent les concepts et méthodes de base d'apprentissage automatique. Ils savent les décrire en termes mathématiques et ils savent les appliquer aux données en utilisant un langage de haut niveau (julia/python/R). Intelligence artificielle et société HUM-286 Ce cours intègre les SHS avec les sciences de l'
