James Richard LarusEnseignement et PhD A dirigé les thèses EPFL de Stuart Anthony Byma, David Teksen Aksun, Sahand Kashani A co-dirigé les thèses EPFL de Adrien Ghosn, Seyedmahyar Emami
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.
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).
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Simon GuilloudExpertise
I am a PhD student at EPFL working in the Laboratory of Automated Reasoning and Analysis with Prof. Viktor KunÄak.My main domains of research are proof assistants and algorithms for logic-related problems.
Expertise
I am a PhD student at EPFL working in the Laboratory of Automated Reasoning and Analysis with Prof. Viktor KunÄak.My main domains of research are proof assistants and algorithms for logic-related problems.
Bryan Alexander FordEnseignement et PhD Doctorant·es actuel·les Shailesh Mishra A dirigé les thèses EPFL de Eleftherios Kokoris Kogias, Kirill Nikitin, Cristina Basescu, Enis Ceyhun Alp, Simone Colombo, Pasindu Nivanthaka Tennage, Louis-Henri Manuel Jakob Merino A co-dirigé les thèses EPFL de David Froelicher, Ludovic Barman, Georgia Fragkouli Cours Decentralized systems engineering CS-438 Un système est décentralisé lorsque son fonctionnement et sa sécurité ne dépendent d'aucune partie. Ce cours enseigne les
Clément Pit-ClaudelTeaching & PhD PhD Students Yawen Guan, Kacper Feliks Korban, Can Cebeci, Alexandre Pinazza, Shardul Chiplunkar Courses Interactive Theorem Proving Project CS-642 A project-focused introduction to interactive theorem proving. Interactive theorem proving CS-428 A hands-on introduction to interactive theorem proving, computer-checked mathematics, compiler verification, proofs as programs, dependent types, and proof automation.Come learn how to write computer-checked proofs an
Thomas Emile BourgeatEnseignement et PhD Doctorant·es actuel·les Neelu Shivprakash Kalani, Jiawei Lin, Alexandre Pinazza, Jiacheng Ma, Martina Camaioni, Guokai Chen, Mohammadarman Soleimani Cours Computer security and privacy COM-301 C'est un cours d'introduction à la sécurité informatique et privée. L'objectif est de fournir aux étudiants les moyens de raisonner sur les problèmes de sécurité et de confidentialité et de leur donner les moyens de les affronter. Constructive Computer Architecture CS-62
Dimitri RacordonExpertise
Programming language design, type systems, memory safety
I got my Ph.D. in computer science at the University of Geneva, Switzerland. I worked on model checking and developed efficient data structures to generate and explore large state spaces. SI then studied logics and type systems while trying to find new ways to teach computer science.I have always loved coding, but quickly realized I'm not so good at writing correct programs. So I thought I'd better write clever compilers to do it for me. Eve
Matthieu Alexandre BovelExpertise
PhD student, I am currently exploring support for logically qualified types support in Scala 3.Co-supervised by Viktor KunÄak and Martin Odersky.
Martin OderskyEnseignement et PhD Doctorant·es actuel·les Matthieu Bovel, Yaoyu Zhao, Anna Herlihy, Nguyên Cao Pham, Yichen Xu A dirigé les thèses EPFL de Julie Vachon, Matthias Zenger, Michel Schinz, Philippe Altherr, Vincent Cremet, Burak Emir, Stéphane Micheloud, Iulian Dragos, Philipp Haller, Gilles Dubochet, Tiark Rompf, Ingo Maier, Lukas Rytz, Aleksandar Prokopec, Heather Miller, Vlad Ureche, Nada Amin, Manohar Jonnalagedda, Hubert Plociniczak, Vojin Jovanovic, Sandro Stucki, Eugene Burmako, Dmytro Petrashko, Séb
Edouard BugnionEdouard Bugnion joined EPFL in 2012, where his focus is on datacenter systems. His areas of interest include operating systems, datacenter infrastructure (systems and networking), and computer architecture. Before joining EPFL, Edouard spent 18 years in the US, where he studied at Stanford and co-founded two startups: VMware and Nuova Systems (acquired by Cisco). At VMware from 1998 until 2005, he played many roles including CTO. At Nuova/Cisco from 2005 until 2011, he helped build the core engineering team and became the VP/CTO of Ciscos Server, Access, and Virtualization Technology Group, a group that brought to market Ciscos Unified Computing System (UCS) platform for virtualized datacenters. Prof. Bugnion is a Fellow of the ACM. Together with his colleagues, he received the ACM Software System Award for VMware 1.0 in 2009. His paper Disco: Running Commodity Operating Systems on Scalable Multiprocessors" received a Best Paper Award at SOSP '97 and was entered into the ACM SIGOPS Hall of Fame Award in 2008. At EPFL, he received the OSDI 2014 Best Paper Award for his work on the IX dataplane operating system
Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth Emmanuel AbbéMission
Chair of Mathematical Data Science (SB/IC)The research in the chair of Mathematical Data Science (MDS) focuses on the mathematical principles that underpin the analysis and design of information and data science technologies. As branches of mathematics, this involves probability, statistics, and discrete mathematics, and as specific fields, machine learning and information theory. Please consult http://deepfoundations.ai/ for postdoc applications.
Emmanuel Abbe received his Ph.D. degree from the EEC 