Ivan HajdukovicExpertise
Macroeconomics, Economic policies, International economics, Environmental and resource economics, Nature-based solutions, Applied econometrics,
I am an applied economist with a keen interest in economic policies, international economics, environmental and resource economics, and agricultural and forestry economics. I obtained my PhD in Economics from the University of Barcelona in 2021 and hold a Master's degree in Economics from the University of Lausanne, and a Bachelor's degree in Economics fro
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.
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in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents.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.
Samy BengioExpertise
Large Language ModelsReasoningStatistical machine learningSpeech processingPerson authenticationMultimodal processingSequence processingArtificial neural networks, support vector machinesHidden markov models, gaussian mixture modelsetc
Expertise
Large Language ModelsReasoningStatistical machine learningSpeech processingPerson authenticationMultimodal processingSequence processingArtificial neural networks, support vector machinesHidden markov models, gaussian mixture modelsetc
Mission
Samy Bengio
Pierre DillenbourgA former teacher in elementary school, Pierre Dillenbourg graduated in educational science (University of Mons, Belgium). He started his research on learning technologies in 1984. In 1986, he has been on of the first in the world to apply machine learning to develop a self-improving teaching system. He obtained a PhD in computer science from the University of Lancaster (UK), in the domain of artificial intelligence applications for education. He has been assistant professor at the University of Geneva. He joined EPFL in 2002. He has been the director of Center for Research and Support on Learning and its Technologies, then academic director of Center for Digital Education, which implements the MOOC strategy of EPFL (over 2 million registrations). He is full professor in learning technologies in the School of Computer & Communication Sciences, where he is the head of the CHILI Lab: "Computer-Human Interaction for Learning & Instruction ». He is the director of the leading house DUAL-T, which develops technologies for dual vocational education systems (carpenters, florists,...). With EPFL colleagues, he launched in 2017 the Swiss EdTech Collider, an incubator with 80 start-ups in learning technologies. He (co-)-founded 4 start-ups, does consulting missions in the corporate world and joined the board of several companies or institutions. In 2018, he co-founded LEARN, the EPFL Center of Learning Sciences that brings together the local initiatives in educational innovation. He is a fellow of the International Society for Learning Sciences. He currently is the Associate Vice-President for Education at EPFL.
Martin RajmanMartin Rajman is the Executive Director of
Nano-tera.ch
, a large Swiss Research Program funding collaborative multi-disciplinary projects for the engineering of complex systems in Health and the Environment. Since 2008, the Nano-Tera.ch program started more than 100 research projects for a total public funding of more than 95 Mo CHF (~100 Mo USD).
Before being appointed as Nano-Tera.ch Executive Director, Martin Rajman was Director of the EPFL Global Computing Center (CGC), an association of research groups and laboratories of the School of Computer and Communication Sciences fostering interdisciplinary research in the general area of internet computing and distributed information systems. In this position, he was managing more than 20 European projects.
In parallel with his research management activities, Martin Rajman is senior researcher at EPF Lausanne, Switzerland (EPFL). His research interests include Artificial Intelligence, Computational Linguistics and Data-driven Probabilistic Machine Learning.
Previously, he was senior researcher at the Computer Science Department of Telecom Paris-Tech, where he was in charge of the development of a research and teaching activity in the domain of Natural Language Processing.
Martin Rajman is also active in various large scale industry-research collaborations with majors economic players. In particular, he has been involved in the improvement of the product ranking technology used by e-Bay and is currently collaborating with Elsevier on enhanced article recommendation techniques.
Martin Rajman is author or co-author of more than 100 publications and former Director of the Computer Science Series of EPFL-Press (PPUR).
Marcel SalathéTeaching & PhD PhD Students Laura Espinosa Montalbán, Marouane Toumi, Rohan Singh Past EPFL PhD Students Gianrocco Lazzari, Martin Mathias Müller, Sharada Prasanna Mohanty Courses Digital epidemiology BIO-512 Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also develop a digital epidemiolo
Emmanuel AbbéTeaching & PhD PhD Students Denys Pushkin, Ortal Yona Senouf, Vladyslav Shashkov Past EPFL PhD Students Elisabetta Cornacchia, Aryo Lotfi Courses Reasoning in artificial intelligence MATH-700 Large language models have raised the potential of artificial intelligence in various applications, including science and mathematics, but their reasoning capabilities remain under investigations. This class focuses on defining, measuring and improving the reasoning capabilities of such AI models.
Awa
Serge VaudenaySerge Vaudenay entered at the Ecole Normale Supérieure in 1989 with a major in mathematics. He earned his agrégation (secondary teaching degree) in mathematics in 1992, then a PhD in Computer Science at the University of Paris 7 - Denis Diderot in 1995. He subsequently became a senior research fellow at the CNRS, prior to being granted his habilitation à diriger des recherches (a postdoctoral degree authorizing the recipient to supervise doctoral students). In 1999, he was appointed as a Professor at the EPFL, where he created the Security and Cryptography Laboratory.
Petr MotlicekTeaching & PhD PhD Students Shashi Kumar Past EPFL PhD Students as codirector Subhadeep Dey, Weipeng He, Juan Pablo Zuluaga Gomez Courses Digital Speech and Audio Coding EE-719 The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques.
Annechien Sarah HelsdingenDr. Anne Helsdingen works as course developer and project manager, developing massive open online courses at the center for digital education from EPFL in Lausanne. Anne has nearly 20 years of experience in human factors research, training and training development, academic teaching and (research) management. Her experience in training and education is rich and varied and includes training critical thinking strategies to various civil and military organizations; designing training programs for military aircrews; developing specifications for artillery training simulators; design, develop and conduct blended learning programs for military commanders; and teaching psychology to bachelor and master students. Anne’s research focuses on learning complex cognitive skills such as reflection, critical thinking and decision-making. She has worked in many international multi-disciplinary research teams, commissioned, for instance, by NATO Research and Technology Organisation or the European Union. Having worked both in academia and in contract research provides her with ample experience in both applied and more fundamental research projects. In her pervious role as research director for Effat University in Saudi Arabia, she managed a diversified team of researchers and substantially contributed to the university’s scientific development by actively shaping and defining the university’s research structure and strategies.
Patrick JermannAfter studies in Geneva (TECFA) and Pittsburgh (LRDC) I joined EPFL in 2003 to coordinate eLearning projects and conduct research in the field of Computer Supported Collaborative Learning (CSCL). Starting 2013 I am responsible for MOOCs production at the Center for Digital Education (CEDE).Former Associate Editor for the IEEE Transactions on Learning Technologies and former Member of the Editorial Board for the International Journal of Computer Supported Collaborative Learning (iJCSCL). Specialties: Interaction analysis, research methods, statistical methods, prototyping, software development, pedagogical design.
