Sabine SüsstrunkProf. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
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.
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.
Rachid GuerraouiRachid Guerraoui has been affiliated with Ecole des Mines of Paris, the Commissariat à l'Energie Atomique of Saclay, Hewlett Packard Laboratories and the Massachusetts Institute of Technology. He has worked in a variety of aspects of distributed computing, including distributed algorithms and distributed programming languages. He is most well known for his work on (e-)Transactions, epidemic information dissemination and indulgent algorithms.
He co-authored a book on Transactional Systems (Hermes) and a book on reliable distributed programming (Springer). He was appointed program chair of ECOOP 1999, ACM Middleware 2001, IEEE SRDS 2002, DISC 2004 and ACM PODC 2010.
His publications are available at http://lpdwww.epfl.ch/rachid/papers/generalPublis.html Marcello IencaDr. Marcello Ienca is a Principal Investigator at the College of Humanities at EPFL where he leads the ERA-NET funded Intelligent Systems Ethics research unit. He is also an affiliate member of the Health Ethics and Policy unit, Department of Health Sciences and Technology, and an ordinary member of the
Competence for Rehabilitation Engineering & Science
at ETH Zurich, Switzerland.
Dr. Ienca's scholarship focuses on the ethical, legal, social and policy implications of emerging technologies. In particular, he investigates the broader implications of new (and often converging) sociotechnical trends such as Artificial Intelligence (AI), big data, digital epidemiology, robotics, assisted living, digital health, social media, dual use, and neurotechnology. He and his team use both theoretical and empirical methods to explore the requirements for responsible innovation, ethically-aligned technology design, user-centred design, and human-centered technology assessment.
Dr. Ienca is actively involved in science and technology policy within international organizations and professional societies. In particular, he is an appointed member of the Organisation for Economic Co-operation and Development’s (OECD) Steering Committee on Neurotechnology and the representative of the Swiss Delegation (appointed by the Swiss State Secretariat for Education, Research and Innovation, SERI). He has also been invited to serve as an expert advisor to the Council of Europe’s Ad Hoc Committee on Artificial Intelligence and the Bioethics Committee. Dr. Ienca has written reports for the OECD, the Council of Europe, and the European Parliament's Panel for the Future of Science and Technology. He is a Member of the Board of Directors of the Italian Neuroethics Society (SINe), a former Board Member and current member of the Nominating Committee of the International Neuroethics Society (INS). Ienca is a member of the Editorial Board of several academic journals such as Neuroethics, Bioethica Forum, Frontiers in Neuroergonomics and Frontiers in Genetics.
Ienca has received several awards for social responsibility in science and technology such as the Vontobel Award for Ageing Research (Switzerland), the Prize Pato de Carvalho (Portugal), the Sonia Lupien Award (Canada), the Paul Schotsmans Prize from the European Association of Centres of Medical Ethics (EACME) and the Data Privacy Plaque of Honour, awarded by the Italian Data Protection Authority. He has authored one monograph, several edited volumes, 60 scientific articles in peer-review journals, several book chapters and is a frequent contributor to Scientific American. His research was featured in academic journals such as
Neuron
,
Nature Biotechnology
,
Nature Machine Intelligence
,
Nature Medicine
and media outlets such as
Nature
,
The New Yorker
,
The Guardian
,
The Times
,
Die Welt
,
The Independent
, the
Financial Times
and others.
Furthermore, Dr. Ienca strongly supports open science, outreach and public engagement. He is committed to a holistic view of research that is not restricted to academia alone but involves an open approach to science communication, outreach and public engagement. Among other things, he is an open-science and open-data enthusiast and a human rights activist. He believes that there can be no ethical technological innovation without global justice.
Mirko MarrasMirko Marras was born on April 19, 1992 in Iglesias (Italy). He is a Postdoctoral Researcher at the Digital Vocational Education and Training • Machine Learning for Education Laboratory of EPFL - Swiss Federal Institute of Technology in Lausanne (Switzerland). He received a PhD in Computer Science in 2020 and a MSc Degree in Computer Science (summa cum laude, 18 months) in 2016, from University of Cagliari (Italy). He received the Computer Science Engineering certification from the University of Pisa (Italy) in 2016.
In 2015, he was involved as Researcher within UnitelCagliari (Italy) for the ELIOS project (MIUR, 1ME). In 2017, he spent five months as Visiting Scholar at EURECAT (Spain), collaborating with the Data Science and Big Data Analytics Unit on the DECODE project (EU, 16P, 5ME). In 2018, he spent three months as Visiting Scholar within the University Institute for Intelligent Systems and Digital Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (Spain). In 2019, he spent two months at the Department of Computer Science and Engineering of the New York University: Tandon School of Engineering (U.S.A). He has been involved as Researcher in the ILEARNTV project (MIUR, 6P, 10ME) since 2018. From 2019, he is referral of the University of Cagliari (Italy) for two work packages under the EDUC project (EU, 6P, 5ME). He has been teaching assistant for the “Computer Networks” course since 2017 and thesis assistant since 2018 at the University of Cagliari (Italy).
In 2014, he was recognized as the best third-year student of the BSc Program in Computer Science of the University of Cagliari (Italy). In 2016, he was recognized as the best MSc student of the Faculty of Science and one of the top 12 MSc students of the same University. In 2018, he got to the podium of the Call for Visionary Ideas - Education Section event organized by Nesta Italia. He has received the Best Poster Award at the European Semantic Web Conference 2017 (ESWC2017), the Demo Honorable Mention at The Web Conference 2018 (WWW2018) and the Best Paper Award at Didamatica Conference 2018. He has been awarded two Erasmus PlaceDoc scholaships to spend 5 months at EURECAT (Spain) and 3 months at Universidad de Las Palmas de Gran Canaria (Spain), respectively. Moreover, he has been awarded a GlobusDoc scholarship to spend 2 months at New York University: Tandon School of Engineering (U.S.A).
His current research focuses on Data Mining and Machine Learning with a focus on Education. He has co-authored papers in top-tier international journals, such as Pattern Recognition Letters (Elsevier), Computers in Human Behavior (Elsevier), Information Processing & Management (Elsevier), and IEEE Cloud Computing. His research activity also brought him to give talks (e.g., ECIR 2019 and INTERSPEECH 2019), demos (e.g., TheWebConf 2018 and AVI 2020), and tutorials (e.g., UMAP 2020 and ICDM 2020) at several international conferences. He is part of the program committee of main international conferences, such as ACL, AIED, ECML-PKDD, EDM, EMNLP, ITICSE, INTERSPEECH, ICALT, and UMAP. He has been also acting as a reviewer for top-tier journals, such as Pattern Recognition Letters and IEEE Transactions on Image Processing. He has been also co-chairing the BIAS@ECIR2020 and BIAS@ECIR2021 workshops. He has served as a guest editor for a special issue of Information Processing & Management (Elsevier) and Future Generation Compter Systems (Elsevier). He has been involved in several national and European projects (e.g., iLearnTV, DECODE, EDUC). He is a member of several national and international associations, including CVPL, AIxIA, IEEE, and ACM.
