Paul Robert GuhennecMes recherches portent sur l'utilisation de méthodes informatiques pour l'histoire de l'architecture et leurs implications épistémologiques. Je suis actuellement chercheur post-doctoral au Digital Humanities Laboratory de l'EPFL, où j'ai récemment terminé ma thèse de doctorat sur l'histoire urbaine et architecturale de Venise, intitulée «The Skin of Venice: A Computational Approach to the City's Urban Structure».
Isabella Di LenardoPh.D. in Theories and Art History. Isabella di Lenardo is senior scientist in Digital Humanities and Urban History. Her research activity is focused on digital tools and methods applied to Urban History. She is an expert in ancient cartography, city representations, cadastral sources interpreted through digital modeling, extraction and analysis systems.She's also interested in network analysis questioning the production and circulation of artistic and architectural knowledge in Europe XVIth – XVIIIth centuries in particular on North-South relationships and influences. The development of collaboration projects with European institutions and the activity carried out on various initiatives supported by the European Commission have allowed her to acquire specialism in the field of science applied to heritage, developing in particular specific skills for the enhancement of Cultural Heritage through digital tools. She leads projects in collaboration with Bibliothèque national de France (Paris), Institut National d’Histoire de l’Art (Paris), Ecole nationale des chartes (Paris), Université Paris I Panthéon-Sorbonne, Centre Allemand d’Histoire de l’Art (Paris), Musée du Louvre, Archives Nationales de Paris, Bibliothèque Historique de la Ville de Paris, Réunion des Musées Nationaux. She supervised all the urban modeling simulations for the Venice Time Machine project and acted as content curator for all the exhibitions (Venice Biennale, Grand Palais-Paris, Datasquare - ArtLab-Lausanne, Museo Correr-Venice). Head of “Replica” project : digitizing 1 million photos of artworks in the Fondazione Giorgio Cini (Venice) and visual patterns extraction through a search engine for visual similarities. She has a Ph.D in Art History and also studied Archaeology and Urban Studies. She has published essays and articles about Venetian Art and Urban History and participated in many Art exhibitions in European museums. She coordinated summer schools and workshops about Digital Tools for Art History and Urban History. She attended conferences on digital methods for History in universities and patrimonial institutions.
Martin Alois RohrmeierEnseignement et PhD Doctorant·es actuel·les Joris Monnet, Marina Borsodi-Benson, Xinyi Guan, Xiaoxuan Wang, Zeng Ren A dirigé les thèses EPFL de Fabian Claude Moss, Daniel Harasim, Christoph Finkensiep, Johannes Hentschel, Gabriele Cecchetti, Shuxin Meng Cours Digital musicology DH-401 Ce cours a pour but de familiariser les étudiants avec les thèmes principaux en musicologie digitale, ainsi que les approches et méthodes théoriques essentielles. Dans la partie pratique, les étudiants feron
Ioannis RammosYannis Rammos is a postdoc at the EPFL Digital & Cognitive Musicology Lab and visiting piano faculty at European University Cyprus. An internationally active pianist and piano pedagogue trained in Russia, during the past two years he has been invited to deliver masterclasses, performances, and lectures at the Anton Bruckner Privatuniversität für Musik, the Estonian Academy for Music & Theater, the Russian Institute for Art History, and Conservatorium van Amsterdam, among other venues. Formerly a researcher in music theory at the Sibelius Academy, he completed his doctoral studies in piano and music theory at the CUNY Graduate Center and New York University, graduating from the latter with a Ph.D. in classical performance. His latest publications have appeared in
Music & Letters
,
Quodlibet
, and
Music Theory & Analysis
. His research spans Schenker studies, critical theory (especially of French poststructuralist origin), Russian music theory, and piano timbre studies. At EPFL he contributes to the Laboratory's overarching corpus initiative, focusing on the history of Western harmony and formalizations of Schenkerian tonal structures.
Maud EhrmannMaud Ehrmann is a research scientist at EPFL’s Digital Humanities Laboratory lead by Prof.
Frédéric Kaplan
. She holds a PhD in Computational Linguistics from the Paris Diderot Universtiy (Paris 7) and has been engaged in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents. Her main research interests span Natural Language Processing and Digital Humanities and include, among others, historical text annotation, historical data processing and representation, named entity recognition, and multilingual linguistic resources creation.
Her current work at the DHLAB focuses on
‘impresso - Media Monitoring of the Past’
, a SNF sinergia project she initiated with
Marten Düring
(
C2DH
) and
Simon Clematide
(
ICL
) and which aims at enabling critical analysis of historical newspapers. In addition to the overall project management, her contributions to this project include system design and data management, annotation and benchmarking and named entity processing. Besides, she participates to the activities of the
Venice Time Machine
, working particularly on information extraction and knowledge representation tasks. Previously, she worked on the
Garzoni
project where she supervised and contributed to the development of a web-based transcription and annotation interface - in collaboration with Orlin Topalov, and built a linked data-based historical knowledge base. She also contributed to the
Le Temps Digital Archives project
.
Prior to joining the DHLAB, she worked at the
Linguistics Computing Laboratory
at the Sapienza University of Rome with Roberto Navigli, where she worked on the
BabelNet
resource - a very large multilingual encyclopaedic dictionary and semantic network - and contributed to the
LIDER
project. Before that, she has been working for four years at the European Commission’s Joint Research Centre in Ispra, Italy, as member of the OPTIMA unit (now
Text and Data mining
unit), which develops innovative and application-oriented solutions for retrieving and extracting information from the Internet with a focus on high multilinguality. Together with Erik van der Goot,
Ralf Steinberger
, Hristo Tanev, Leo della Rocca and many others, she contributed to the development of the
Europe Media Monitor
(EMM). Prior, she worked at the Xerox Europe Research Centre in Grenoble, France (now
Naver Labs Europe
) in the Parsing & Semantics group led by Frédérique Segond, first as PhD candidate supported through a CIFRE grant under the supervision of
Caroline Brun
and
Bernard Victorri
, then as a post-doctoral researcher. There her research focused mainly on the automatic processing and fine-grained analysis of entities of interest, specifically named entities and temporal expressions.
Dimitrios LignosProf. Lignos joined the École Polytechnique Féderale de Lausanne (EPFL) in 2016 from McGill University in Canada where he was a tenured Associate Professor and a William Dawson Scholar for Infrastructure Resilience. He holds a diploma (National Technical University of Athens, NTUA, 2003), M.S. (Stanford University, 2004) and Ph.D. (Stanford University, 2008). In addition, he was a post-doctoral scientist at Stanford University (2009) and in Kyoto University (2010). Prof. Lignos teaches graduate and undergraduate courses in seismic design, nonlinear behaviour of steel and composite structures as well as supplemental damping systems, Structural Stability, Nonlinear Analysis and Performance-based Earthquake Engineering. His awards for teaching, research and service in Civil Engineering include the 2011 Outstanding Teaching Award (Faculty of Engineering, McGill University), as well as the Outstanding reviewer (2012, 2013) award from ASCE, the 2013 State-of-the-Art in Civil Engineering Award by ASCE and the 2014 Christophe Pierre Award for Research Excellence - Early Career. Just recently, he received the 2019 Walter L. Huber Civil Engineering Research Prize from ASCE for significant contributions in developing state of the art methods to simulate extreme limit states in steel structures.Prof. Lignos is a member of ASCE and the Earthquake Engineering Research Institute. He acts as an Associate Editor for Metal Structures and Seismic Effects of the ASCE Journal of Structural Engineering. He joined the Editorial Board of Earthquake Spectra and Earthquake Engineering and Structural Dynamics International journals. He serves as an acting member of the CEN/TC 250/SC 8/WG 2 and has been selected as a member of the Project Team (PT2) for the Eurocode 8-Part 1 Current Revisions for Steel and Composite Structures. He is also a member of the Canadian Standards Association (CSA) S16 technical committee for Steel Structures. Prof. Lignos is involved as a NEHRP consultant in numerous research-to-practice projects related to the behaviour and nonlinear modelling and analysis of structures applicable to the engineering practice through the Applied Technology Council (ATC). Detailed Curriculum Vitae (last update September 2018)
Ronan BoulicI come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.
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
Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Valentin Alexandre Guy GabeffRechercheWildAI WildAI is an interdisciplinary project that aims to bring together behavioral neurosciences, ecology, environmental computational sciences, computer vision and machine learning to scale up conservation research. From unmanned aerial vehicles (UAV) and camera trap (CT) acquired images, we seek to model the wildlife habitats in the Swiss National Park to complement ecological knowledge of how wildlife interacts with its environment and how perturbations in the environment can in turn affect w
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.
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,
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 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.
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
Mario PaoloneMario Paolone received the M.Sc. (with honors) and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 1998 and 2002, respectively. In 2005, he was appointed assistant professor in power systems at the University of Bologna where he was with the Power Systems laboratory until 2011. In 2010, he received the Associate Professor eligibility from the Politecnico di Milano, Italy. Since 2011 he joined the Swiss Federal Institute of Technology, Lausanne, Switzerland, where he is now Full Professor, Chair of the Distributed Electrical Systems laboratory and Head of the Swiss Competence Center for Energy Research (SCCER) FURIES (Future Swiss Electrical infrastructure). He was co-chairperson of the technical programme committees of the 9th edition of the International Conference of Power Systems Transients (IPST 2009) and of the 2016 Power Systems Computation Conference (PSCC 2016). He was chair of the technical programme committee of the 2018 Power Systems Computation Conference (PSCC 2018). In 2013, he was the recipient of the IEEE EMC Society Technical Achievement Award. He was co-author of several papers that received the following awards: best IEEE Transactions on EMC paper award for the year 2017, in 2014 best paper award at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, UK, in 2013 Basil Papadias best paper award at the 2013 IEEE PowerTech, Grenoble, France, in 2008 best paper award at the International Universities Power Engineering Conference (UPEC). He was the founder Editor-in-Chief of the Elsevier journal Sustainable Energy, Grids and Networks and was Associate Editor of the IEEE Transactions on Industrial Informatics. His research interests are in power systems with particular reference to real-time monitoring and operation, power system protections, power systems dynamics and power system transients. Mario Paolone is author or coauthor of over 300 scientific papers published in reviewed journals and international conferences.
