Luciano Nicolas AntoniettiExpertise
Theorie d'architectureType et TypologieTerritoire suburbain Paysage interstitielArchitecture rurale et agricole
co-fondateur - forme commune atelier d'architecture et paysageassistant scientifique - EAST EPFLchercheur - architecture rurale et agricole Expériences professionnelles Co-fondateur 2023–2025 forme commune atelier d'architectureArchitecte 2023–2024 Ville de Fribourg - Développement UrbainArchitecte chef de projet 2021–2023 AFF ArchitectsArchitecte 2019–2020 Capaul&Blumenthal Architect
Ivan HajdukovicExpertise
Macroeconomics, Economic policies, International economics, Environmental and resource economics, Agricultural and forestry economics, Applied econometrics, Humanitarian data analysis
Enseignement et PhD Cours L'arbre-ville PENS-235 Cette semaine ENAC est une invitation à s'interroger sur la manière dont les villes réinventent leur relation avec les entités vivantes et naturelles, en se concentrant en particulier sur la question des arbres.
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
Luisa LambertiniLuisa Lambertini is Full Professor at the Ecole Polytechnique Federale de Lausanne (EPFL), where she holds the Chair of International Finance. She received her Ph.D. in Economics from the University of California at Berkeley in 1995, her Master of Science in Economics from Warwick University in 1989 and a Laurea cum Laude from the Universita' degli Studi di Bologna in 1987. Prior to coming to EPFL, Professor Lambertini was Associate Professor at Claremont McKenna College 2005-06, Associate Professor at Boston College 2003-06 and Assistant Professor at the University of California at Los Angeles 1995-03. Professor Lambertini's research is in international finance, open-economy macroeconomics and political economy. She studies how monetary and fiscal policies affect the economy, how they interact and how they can be used to achieve good economic outcomes and improve social welfare. Professor Lambertini's research focuses on how monetary and fiscal institutions should be designed to successfully mitigate the impact of unexpected shocks while pursuing long-run goals consistent with price stability and fiscal sustainability. These issues are even more important for small open economies in an interdependent world and for countries that adopt a common currency. Professor Lambertini has published articles in the American Economic Review, the Review of Economic Studies, the European Economic Review, the Journal of International Economics and the Economic Journal, among others. She was a Consultant in the Fiscal Policies Division of the European Central Bank and she has organized several international conferences. More details on my CV
Philippe ThalmannOriginaire de Malters (LU), Philippe Thalmann est né à Lausanne en 1963. Il est licencié en économie politique de l'Université de Lausanne en 1984, où il a aussi obtenu le diplôme postgrade dans la même branche en 1986. M. Thalmann est entré dans le programme doctoral en économie de l'Université Harvard (Cambridge, E.-U.) en 1986 et l'a achevé avec le doctorat (Ph.D.) en 1990. De retour en Suisse, il est nommé maître-assistant à l'Université de Genève pour y enseigner l'économie et les finances publiques, puis professeur assistant à l'Université de Lausanne en 1993, pour y enseigner l'économétrie appliquée et l'économie nationale. En 1994, M. Thalmann est nommé professeur extraordinaire à l'EPFL (aujourd'hui professeur associé). Lors de la réorganisation de l'EPFL en 2000, il réoriente sa chaire de l'économie de la construction vers l'économie de l'environnement naturel et construit.
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.
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Pierre DillenbourgAncien instituteur primaire, Pierre Dillenbourg obtient un master en Sciences de lEducation (Université de Mons, Belgique). Dans son projet de master en 1986, il est l'un des premiers au monde à appliquer les méthodes de 'machine learning' à l'éducation, afin de développer un 'self-improving teaching system'. Ceci lui permettra de débuter une thèse de doctorat en informatique à l'Université de Lancaster (UK) dans le domaine des applications éducatives de lintelligence artificielle. Il a été Maître dEnseignement et de Recherche à lUniversité de Genève. Il rejoint l'EPFL en 2012, où Il fut le directeur du Centre de Recherche sur l'Apprentissage, la formation et ses technologies(CRAFT), puis académique du Centre pour l'Education à l'Ere Digitale (CEDE) qui met en oeuvre la stratégie MOOC de l'EPFL (plus de 2 millions d'inscriptions). Il est actuellement professeur ordinaire en technologies de formation aux sein de la faculté Informatique et Communications et dirige laboratoire d'ergonomie éducative (CHILI). Depuis 2006, il a aussi été le directeur de DUAL-T, la 'leading house' dédiée aux technologies pour les systèmes de formation professionnelle duale. Il a fondé plusieurs start-ups dans l'éducation et rejoint plusieurs conseils d'administration. En 2017, Il a créé avec des collègues le 'Swiss EdTech Collider', un incubateur qui rassemble 80 start-ups dans le domaine des technologies éducatives. En 2018, ils ont lancé LEARN, le centre EPFL pour les sciences de l'apprentissage, lequel regroupe les initiatives locales en innovation éducative. Pierre est un 'inaugural fellow of the International Society of Learning Sciences'. Il est actuellement le Vice-Président Associé pour l'Education à l'EPFL.
Marc VielleMarc Vielle has obtained a PhD degree in economics from the University Panthéon-Sorbonne (Paris). He worked as an economic researcher at the Laboratoire ERASME of Ecole Centrale de Paris and Université de Paris I (1987-1992), where he developed and managed the macroeconomic model HERMES-France. In 1991 he joined the Commissariat à lEnergie Atomique (CEA) as senior economist where he participated to the development of two models (GEM-E3 and PRIMES) funded by the European Commission. In 1996 he joined the Institut dEconomie Industrielle of Toulouse directed by Jean-Jacques Laffont. In 2003 he joined the Laboratoire dEconomie des Ressources Naturelles directed by Michel Moreaux. Since 2007, Marc works at EPFL.
He is member of the GEMINI-E3 team and participates to the development of the world general equilibrium model GEMINI-E3. Marc has a strong experience in economic modeling (especially CGE modeling), quantitative analysis, energy and climate change policies. He has contributed to several research projects funded by national governments, European Commission and private companies.
Skype 'Skype Me!' buttonhttp://www.skype.com/go/skypebuttons 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.
