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,
Rolf GruetterAwards:
1999 Young Investigator Award Plenary Lectureship
, International Society for Neurochemistry
2011 Fellow
, ESMRMB
2011 Teaching Award
, Section Sciences de la Vie, EPFL
Meritxell Bach CuadraMeritxell Bach Cuadra received her degree in Telecommunication Engineering (ETSETB) from the Universitat Politècnica de Catalunya (UPC), Spain, in September 1999. In December 1999, she joined the Computer Vision and Image Analysis Group at the Signal Processing Laboratory (LTS5) as a Ph.D. student under the supervision of Prof. Jean-Philippe Thiran. She obtained her PhD degree in November 2003 for her work "Atlas-based Segmentation and Classification of Magnetic Resonance Brain Images." In June 2005 she joi
Dimitri Nestor Alice Van De VilleExpertise
Brain and spinal cord imaging, signal and image processing, network science, dynamic systems
Teaching & PhD PhD Students Alexandre Cionca, Chun Hei Michael Chan, Flavia Petruso, Bassam El Rawas, Nikolaos Molochidis, Christophe Pascal Jérémie Chênes, Fabrice Jean Guibert, Alessio Siviglia, Ekansh Sareen, Beatrice Lugli Past EPFL PhD Students Djano Kandaswamy, Fikret Isik Karahanoglu, Nora Leonardi, Zafer Dogan, Jeffrey Adam Kasten, Naghmeh Ghazaleh, Rotem Roza Kopel, Daniela Maria Zöller, Thomas
Frédéric CourbinAfter his studies in fundamental physics at the University of Paris-XI (Orsay, France), Frédéric Courbin carried out his PhD work between the Astrophysics Institute of the University of Liège (Belgium), Paris Observatory (France), and the European Southern Observatory (Germany). In 1999, he left Europe for three years, taking advantage of the clear skies of Chile to carry out his research using the brand new Very Large Telescope, constructed by Europe in the Atacama desert. In 2004, after two years of a Marie Curie fellowship at the University of Liège, he joint the Laboratory of Astrophysics, where he is now Professor. His main fields of activity are in observational cosmology and extragalactic astrophysics as well as in image and signal processing. In 2018, he was awarded an ERC Advanced Grant in connection with his work in cosmology with gravitational lenses. At EPFL, he is a member of the committee for the Physics Doctoral School since 2013 and has been the tutor of more than 30 PhD students. He is a member of the EPFL Council for the Faculty of Basic Sciences since 2018 and a member of the School Assembly since 2020.
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Sandro CarraraSandro Carrara is an IEEE Fellow for his outstanding record of accomplishments in the field of design of nanoscale biological CMOS sensors. He is also the recipient of the IEEE Sensors Council Technical Achievement Award in 2016 for his leadership in the emerging area of co-design in Bio/Nano/CMOS interfaces. He is a Professor of the EPFL in Lausanne (Switzerland), and head of the "Bio/CMOS Interfaces" (BCI) research group. He is former professor of optical and electrical biosensors at the Department of Electrical Engineering and Biophysics (DIBE) of the University of Genoa (Italy) and former professor of nanobiotechnology at the University of Bologna (Italy). He holds a PhD in Biochemistry & Biophysics from University of Padua (Italy), a Master degree in Physics from University of Genoa (Italy), and a diploma in Electronics from National Institute of Technology in Albenga (Italy). His scientific interests are on electrical phenomena of nano-bio-structured films, and include CMOS design of biochips based on proteins and DNA. Along his carrier, he published 7 books, one as author with Springer on Bio/CMOS interfaces and, more recently, a Handbook of Bioelectronics with Cambridge University Press. He has more than 250 scientific publications and is author of 13 patents. He is now Editor-in-Chief of the IEEE Sensors Journal, the largest journal among 2019 IEEE publications; he is also founder and Editor-in-Chief of the journal BioNanoScience by Springer, and Associate Editor of IEEE Transactions on Biomedical Circuits and Systems. He is a member of the IEEE Sensors Council and his Executive Committee. He was a member of the Board of Governors (BoG) of the IEEE Circuits And Systems Society (CASS). He has been appointed as IEEE Sensors Council Distinguished Lecturer for the years 2017-2019, and CASS Distinguished Lecturer for the years 2013-2014. His work received several international recognitions: several Top-25 Hottest-Articles (2004, 2005, 2008, 2009, and two times in 2012) published in highly ranked international journals such as Biosensors and Bioelectronics, Sensors and Actuators B, IEEE Sensors journal, and Thin Solid Films; a NATO Advanced Research Award in 1996 for the original contribution to the physics of single-electron conductivity in nano-particles; six Best Paper Awards at the IEEE Sensors Conference 2019 (Montreal) in 2019, Conferences IEEE NGCAS in 2017 (Genoa), MOBIHEALTH in 2016 (Milan), IEEE PRIME in 2015 (Glasgow), in 2010 (Berlin), and in 2009 (Cork); three Best Poster Awards at the EMBEC Conference in 2017 (Tampere, Finland), Nanotera workshop in 2011 (Bern), and NanoEurope Symposium in 2009 (Rapperswil). He also received the Best Referees Award from the journal Biosensor and Bioelectronics in 2006. From 1997 to 2000, he was a member of an international committee at the ELETTRA Synchrotron in Trieste. From 2000 to 2003, he was scientific leader of a National Research Program (PNR) in the filed of Nanobiotechnology. He was an internationally esteemed expert of the evaluation panel of the Academy of Finland in a research program for the years 2010-2013. He has been the General Chairman of the Conference IEEE BioCAS 2014, the premier worldwide international conference in the area of circuits and systems for biomedical applications
Alexis BerneExpertise
Radar meteorologyPrecipitation microphysicsPolar precipitationGeostatistics
Mission
Reserch interests: radar remote sensing and variability of precipitation in mountainous regions.
Education PhD | Geophysical Mechanics and Environment 1999 – 2002 Universit� Joseph Fourier, Grenoble, France Master (Engineer) | Water Resources and Development 1995 – 1998 Institut National Polytechnique de Grenoble, France Professionals experiences Associate Professor 201
