Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
Klaus Benedikt SchönenbergerVision: Scientific research and technology development can be mobilized to help the poorest and most vulnerable in this world. Klaus Schönenberger obtained an MSc in Microengineering (1993), followed by a PhD (1996) from the Swiss Federal Institute of Technology in Lausanne (EPFL). After a post-doc at Lawrence Livermore National Laboratory in California, he spent over 10 years in the medical devices industry in leading positions such as Vice-President of Worldwide R&D in a 100mcompanyandGlobalVice−ResidentofResearchandTechnologyina1bn company. In 2009, as he was working for a medical devices company, he received a shock: he realized that there is a huge imbalance in access to medical technology in industrialized versus low and middle-income countries. After a closer look, he discovered that he imbalance’s main cause is a mismatch between existing technologies and business models, with those needed in low and middle-income countries. He decided to leave industry and, in 2009, he co-founded the EssentialMed Foundation, an innovative non-profit venture. In 2011, realizing that both technology and business models needed a profound rethinking, he joined EPFL where he launched EssentialTech, an initiative inspired by the philosophy of EssentialMed but expanded to a much wider portfolio of "essential" technologies. The university-wide program aims to develop innovative technologies and business models, for the benefit of sustainable development in low and middle-income countries. In this role, he has already launched and overseen a dozen large projects. Major Humanitarian actors such as the ICRC, MSF and Terre des Hommes took notice of the innovative approach proposed, and decided to collaborate in 2015-2016. This has resulted notably in the joint creation between EPFL and ICRC, of the Humanitarian Tech Hub at EPFL. In May 2017, Klaus directed and launched a MOOC(Massive Open Online Course) entitled “Technology Innovation for Sustainable Development” which aims to spread the unique methodology and approach worldwide. As of today, more than 6000 people have enrolled. In 2018 a first spin-off company was created. Award winning Pristem SA will deploy an innovative new digital xray imaging system, specifically designed for low-income contexts. In December 2018, the creation of the EssentialTech centre was announced by EPFL's presidency, and Klaus is now the Centre's director. Another spin-off of the EssentialTech Centre is the company HMCare, launched in 2020, which is deploying a transparent surgical mask. Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
Sébastien MarcelExpertise
image processing, pattern recognition, machine learning, biometrics
Current work
Face recognitionSpeaker recognitionMobile biometrics ( http://www.mobioproject.org )Spoofing ( http://www.tabularasa-euproject.org )Biometrics evaluation and testing ( http://www.beat-eu.org )
Sébastien Marcel is the head of the Biometrics group and senior research scientist at the Idiap Research Institute (CH), where he leads a research team and conducts research on biometrics and more particularly face recognition, Show more