Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Viktor KuncakViktor Kunčak joined EPFL in 2007, after receiving a PhD degree from MIT. Since then has been leading the Laboratory for Automated Reasoning and Analysis and supervised at least 12 completed PhD theses. His works on languages, algorithms and systems for verification and automated reasoning. He served as an initiator and one of the coordinators of a European network (COST action) in the area of automated reasoning, verification, and synthesis. In 2012 he received a 5-year single-investigator European Research Council (ERC) grant of 1.5M EUR. His invited talks include those at Lambda Days, Scala Days, NFM, LOPSTR, SYNT, ICALP, CSL, RV, VMCAI, and SMT. A paper on test generation he co-authored received an ACM SIGSOFT distinguished paper award at ICSE. A PLDI paper he co-authored was published in the Communications of the ACM as a Research Highlight article. His Google Scholar profile reports an over-approximate H-index of 38. He was an associate editor of ACM Transactions on Programming Languages and Systems (TOPLAS) and served as a co-chair of conferences on Computer-Aided Verification (CAV), Formal Methods in Computer Aided Design (FMCAD), Workshop on Synthesis (SYNT), and Verification, Model Checking, and Abstract Interpretation (VMCAI). At EPFL he teaches courses on functional and parallel programming, compilers, and verification. He has co-taught the MOOC "Parallel Programming" that was visited by over 100'000 learners and completed by thousands of students from all over the world.
Luc PatinyExpertise
Cheminformatics, Data management, Data processing, Javascript developmentLast updated on April 16, 2023.
GitHub
https://github.com/lpatiny
Enseignement et PhD Cours Analyse structurale (pour SFU) UNIL-129 Acquisition des notions fondamentales liées à l'identification de la structure de petites molécules organiques au moyen des techniques de spectrométrie de masse, spectroscopie infra-rouge et résonance magnétique nucléaire. Basic and advanced NMR - Level 1 A (EPFL) CH-60 Carmela González TroncosoEnseignement et PhD Doctorant·es actuel·les Saiid El Hajj Chehade, Eric Jollès, Christian Knabenhans, Boya Wang, Mathilde Aliénor Raynal A dirigé les thèses EPFL de Sandra Deepthy Siby, Sylvain Chatel, Christian Vincent Mouchet, Bogdan Kulynych, Kasra Edalatnejadkhamene, Sinem Sav, Theresa Stadler, Klim Kireev Cours Privacy at the communication layer CS-721
Henry MarkramEnseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N
Sofiane SarniEnseignement et PhD Cours Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la recherche de solutions à la mise à l'échelle de prototypes sur clusters Spark. Les étudiants explorent le pipeline complet d'ingénierie et science des données, de l'acquisition à l'extraction d'insights appliqués à des cas réels.
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Bruno HerbelinSince 10/09 - Scientist Laboratory of cognitive neuroscience Brain & Mind Institute, École Polytechnique Fédérale de Lausanne, Switzerland. 06/12 - 10/19 Deputy Director Center for Neuroprosthetics École Polytechnique Fédérale de Lausanne, Switzerland. 11/05 - 09/09 Assistant Professor Aalborg University Esbjerg Institute of Technology & Copenhagen Institute of Technology, Denmark. 07/01 - 09/05 Research assistant PhD student Virtual Reality Laboratory School of Computer and Communications, École Polytechnique Fédérale de Lausanne, Switzerland.
Annechien Sarah HelsdingenBiografy
Anne Helsdingen est conceptrice de cours et chef de projet au Centre pour l'enseignement numérique de l'EPFL à Lausanne, où elle développe des cours en ligne ouverts à tous. Elle a plus de 20 ans d'expérience dans la recherche sur les facteurs humains, l'enseignement universitaire et la conception de systèmes intelligents pour la formation et l'éducation, avec un accent particulier sur la formation et l'éducation professionnelles. Elle est également membre du conseil d'administration d'Open Learnit
