Kenan ZhangEnseignement et PhD Doctorant·es actuel·les Qiuzi Chen, Xinyu Ma, Xuhang Liu Cours EESS - CESS Seminar Course - option 1 (FALL) ENV-630(a) EESS - CESS Seminar Course - option 1 (SPRING) ENV-630(c) EESS - CESS Seminar Course - option 2 (FALL) ENV-630(b) EESS - CESS Seminar Course - option 2 (SPRING) ENV-630(d) Transportation network modeling & analysis CIVIL-477 Ce cours présente les classiques et les nouvelles avancées en mati
Olivier VerscheureEnseignement et PhD Cours Data science pour ingénieurs avec Python ENG-209 Ce cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir de données réelles. Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la reche
Simon Elias BibriExpertise
• Sustainable cities• Smarter eco-cities• Sustainable smart cities• Artificial Intelligence of Things (AIoT) • Generative Artificial Intelligence of Things (GAIoT)• Foundation Models (FMs) • Quantum Generative Artificial Intelligence (QGAI)• Urban Digital Twins (UDTs)• Urban Brain (UB) • Smart Circular Metabolism• Urban planning and design• Environmental sustainability and climate resilience• Sustainable smart energy• Sustainable smart transportation• Sustainable smart waste and water management•
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
Andrea CavallaroExpertise
Machine learning for multimodal perception, computer vision, machine listening, and information privacy.
Enseignement et PhD Doctorant·es actuel·les Yung-Chen Tang, Ante Maric, Cen Lu, Haruki Shirakami, Lei Xu, Dina El Zein, Jose Rafael Espinosa Mena, Shashi Kumar, Martin Schonger, Olena Hrynenko, Darya Baranouskaya Cours Deep learning EE-559 Ce cours explore la conception de réseaux de neurones discriminatifs et génératifs fiables, ainsi que les enjeux éthiques de l'acquisition
Yujia ZhangEnseignement et PhD Doctorant·es actuel·les Yuyan Su, Shulang Shen, Jiaqi Liu Cours Advanced microfabrication practicals MICRO-373 Ce TP permet une formation approfondie sur les méthodes avancées de micro et nanofabrication dans un environnement de salle blanche pour des applications sélectionnées, d'acquérir des connaissances plus approfondies sur les processus MEMS/NEMS, de travailler dans un petit groupe avec des doctorants/ MOOC: Micro and Nanofabrication (MEMS) - Fall MICRO-
Mirko KovacProf. Mirko Kovač is Director of the Laboratory of Sustainability Robotics, jointly appointed at the Swiss Federal Laboratories for Materials Science and Technology (Empa) in Zürich and the Swiss Federal Institute of Technology Lausanne (EPFL). He holds an Honorary Professorship at Imperial College London, where he previously served as Full Professor and founded the Aerial Robotics Laboratory.His research group develops mobile robotic systems for distributed environmental sensing and autonomous manufacturin
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Pierre-Yves GilliéronOriginaire de Mézières (Vaud), né en 1964, Pierre-Yves Gilliéron obtient un diplôme dingénieur en génie rural et géomètre à lEcole polytechnique fédérale de Lausanne (EPFL) en 1988.
De 1988 à 1990, il travaille au laboratoire de photogrammétrie de lEPFL où il participe à un projet de recherche en traitement dimage avec le partenaire industriel LEICA.
De 1991 à 1997, il est engagé par un bureau dingénieurs du Valais où il est actif dans le domaine de la géomatique. Responsable du secteur de la photogrammétrie, il dirige des mandats tant en Suisse quà létranger.
En 1997, il rejoint lEPFL et il est nommé chargé de cours pour le positionnement par satellite et la topographie. Parallèlement, Il collabore à la recherche et au développement au sein du laboratoire de Topométrie (TOPO) dans le domaine des systèmes de navigation appliqués aux transports.
Dès 2018, il occupe le poste d'adjoint à la direction de la section en sciences en ingénierie de l'environnement (SIE) de l'EPFL.
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Il a été membre du comité de lInstitut Suisse de Navigation (ION-CH), de la commission géodésique suisse (SCNAT/SGK), de commissions d'experts de la VSS, du comité its-ch et de diverses associations professionnelles (IGSO, geosuisse, SSPIT).
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
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