Shawn Koppenhoefer[ed: See the much more complete shawnkoppenhoefer.com pages] Originally from Canada, born in 1968, Shawn completed a double-honours degree (BSc in ‘Computer-Science’ and ‘Combinatorics & Optimization’ 1990) at the Faculty of Mathematics of the University of Waterloo. Six years later, at the EPFL while teaching the 1st-year course Introduction to Networks and Protocols, he published his doctoral thesis (PhD in Computer-Science ). He was invited to become 1st assistant in the Electrical Engineering Dept. at EPFL working on telecommunication-architectures with Alcatel/Orange/Siemens, developed relational databases at Charles Veillon S.A., worked on e-government applications (civilian and military) at Networkers S.A., performed system-administration/teaching/web-development at the World Health Organization collaborating center GFMER in Geneva, worked independently developing a few iOS applications in Objective-C, and finally returned to the EPFL and UNIL to do database-support, and IT-support. In addition to his work at LMOM lab LMOM.epfl.ch, Shawn also did a 3year stint at the LTP lab (principally Windows lab) http://LTP.epfl.ch, and at the ARVE lab replaced since with "DavisGroup" (Mac/Linux)(wp.unil.ch/davisgroup). He can be found in the usual places on social media (TW,FB,YT,FL,PI, LI, GoogleScholar, ResearcherID...). Klaus KernKlaus Kern is Professor of Physics at EPFL and Director and Scientific Member at the Max-Planck-Institute for Solid State Research in Stuttgart, Germany. He also is Honorary Professor at the University of Konstanz, Germany. His present research interests are in nanoscale science, quantum technology and in microscopy at the atomic limits of space and time. He holds a chemistry degree and PhD from the University of Bonn and a honorary doctors degree from the University of Aalborg. After his doctoral studies he was staff scientist at the Research Center Jülich and visiting scientist at Bell Laboratories, Murray Hill before joining the Faculty of EPFL in 1991 and the Max-Planck-Society in 1998. Professor Kern has authored and coauthored close to 700 scientific publications, which have received nearly 60‘000 citations. He has served frequently on advisory committees to universities, professional societies and institutions and has received numerous scientific awards and honors, including the 2008 Gottfried-Wilhelm-Leibniz Prize and the 2016 Van‘t Hoff Prize. Prof. Kern has also educated a large number of leading scientists in nanoscale physics and chemistry. During the past twenty-five years he has supervised one hundred PhD students and sixty postdoctoral fellows. Today, more than fifty of his former students and postdocs hold prominent faculty positions at Universities around the world.
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.
Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Olivier LévêqueOlivier Lévêque was born in Switzerland in 1971. He received the physics diploma from EPFL in 1995 and completed his PhD in mathematics at EPFL in 2001. Since then, he has been with the Laboratory of Information Theory at EPFL. He spent the academical year 2005-2006 at the Electrical Engineering Department of Stanford University, where he was appointed as lecturer. His research interests include stochastic analysis, random matrices, wireless communications and information theory.
Yuchen YangYuchen is working on the SNF Sinergia interdisciplinary project
"Narratives from the long tail: transforming access to audiovisual archives"
under the supervision of Prof. Sarah Kenderdine at Laboratory for Experimental Museology.
His research interests include Machine Learning on Heterogeneous Data, Knowledge Representation and Semantics, Audiovisual Narrative, Digital Curation, and HCI. He is especially interested in their application in the cultural and heritage sector in pursuit of the future for memory institutions.
Before joining EPFL, Yuchen worked for Mckinsey & Company, NLP start-up Eigen Technologies, and Alibaba Group in various roles, with a focus on digital transformation and utilising unstructured data.
Freddy RadtkeFreddy Radtke obtained his Ph.D. in Molecular Biology from the University of Zürich in 1994. In 1995, he started his postdoctoral research in the laboratory of Michel Aguet at Genentech, Inc. (San Francisco, USA). In 1997, he returned to Switzerland with Michel Aguet and finished his postdoctoral fellowship at the Swiss Institute for Experimental Cancer Research (ISREC) in Lausanne. From 1999‑2005, he was a group leader and Associate Member at the Ludwig Institute for Cancer Research. Freddy Radtke then joined ISREC in January 2006 as a senior scientist and in July 2006, he was appointed Associate Professor at the EPFL School of Life Sciences
