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,
Jean-Marc OdobezExpertise
Computer Vision, machine Learning (Bayesian models, deep learning), multimodal processing.Activity analysis, human behavior understanding, human communication, interaction modeling
Dr Jean-Marc Odobez (Msc 1990, PhD 1994) received his Ph.D degree from Rennes University in 1994 for his PhD dissertation done at INRIA. After 5 years as an assistant professor at the University du Maine, France, he decided to join Idiap, where he is now the Head of the Perception & Activity Understanding Group and adju
Stéphane JoostExpertise
Geographic Information Science and spatial statisticsMolecular ecology, Landscape genomics, Seascape genomicsSpatial epidemiology, Health geographics
Publications Publications- List of publications
Teaching & PhD PhD Students Marco André Vieira Ruas, Manon Laetitia Pribille, Martine Valérie Besse Past EPFL PhD Students Estelle Rochat, Solange Catherine Gaillard, Oliver Michele Selmoni, Anaïs Ladoy, Annie Sandrine Guillaume Past EPFL PhD Students as codirector Sylvie Stucki, Kevin Leempoel, Martí
Sixuan Sven WangTeaching & PhD PhD Students Leonardo Nevali Courses Bayesian statistics MATH-339 A first introduction to Bayesian statistics, assuming knowledge from first courses in statistics and probability. We will focus on foundational statistical and mathematical aspects such as the decision theoretic background, consistency for large sample sizes, and algorithms for Bayesian computation.
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Pina MarzilianoPina Marziliano obtained her Bachelors of Science degree in Applied Mathematics and Masters of Science degree in Computer Science in 1994 and 1996, respectively, from the Universite de Montreal. She completed the pioneering Doctoral School program in the Communications Systems Department at the EPFL in 1997 and obtained her PhD degree in 2001. Her professional career began as a Senior Research Engineer in a start-up company called Genimedia SA in Lausanne, Switzerland where she developed perceptual quality metrics for multimedia applications which led her to two highly cited (>100) journal and conference papers, as well as, the filing of a patent. In 2003, she became an Assistant Professor for the Division of Information Engineering in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore focusing her research in biomedical signal and image processing. In 2006, she was seconded to NTU’s International Relations Office for one year where she co-strategized the university international partnerships and conceptualised the Global Partnership Management and Analysis Tool. She received the IEEE Signal Processing Society 2006 Best Paper Award for the article entitled "Sampling Signals with Finite Rate of Innovation" co-authored with Martin Vetterli and Thierry Blu. Later that year patents on the same topic were acquired by Qualcomm Inc., USA, followed by consultancy work which led to obtaining US200KindustryresearchgrantfromQualcomm. In2009,aworkshopco−organisedbyNTU’sCollegeofEngineeringandTanTockSengHospitalandpartneroftheNTU−ImperialCollegeMedicalSchoolsparkedseveralresearchcollaborationswithdoctorsfromtheOphthalmologyDepartmentandDiagnosticRadiologyDepartmentwhichhaveledtojointinternationalconferenceandjournalpublications,significant(>SGD3M) joint research funding and a granted US patent. Apart from her research achievements, she has served as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, a technical reviewer for more than a dozen international conference and Tier-1 journal publications, as well as, a Technical Program Committee member of international conferences and voted in as member of the highly selective Signal Processing Theory and Methods Technical Committee in the IEEE Signal Processing Society. She has served as the Chair of the IEEE Singapore Section Women In Engineering (WIE) Affinity Group where she spearheaded and co-organized monthly technical and social activities, thus increasing the group’s visibility in the IEEE Singapore Section. With her leadership and initiatives, the group received the 2009 Honourable Mention Women in Engineering Affinity Group of the Year Award from the IEEE WIE Committee in the USA. In 2011, she was the General Chair of the 9th International Conference on Sampling Theory and Applications, co-organised by the School of EEE and School of Physical and Mathematical Sciences, NTU. This interdisciplinary conference and flagship event of her research community was held for the first time in Asia on the NTU campus. It gathered 132 participants comprising of mathematicians, engineers and applied scientists from 26 countries around the globe. In 2012, she was tenured and promoted to Associate Professor at the Nanyang Technological University in Singapore. Besides pursuing her academic career, she has been actively involved in technology transfer and entrepreneurship co-founding a design company (PABensen) and a biotechnology spin-off BIORITHM. In 2019, Pina Marziliano was appointed Executive Director of the Centre for Biomedical Imaging (CIBM), a centre composed of five partner institutions HUG, UNIGE, EPFL, UNIL and CHUV located in a 50km radius of the Lemans region in Switzerland. The unique union of reputable clinicians, academics and researchers combined with the capabilities of developing cutting edge technology and housing the latest state-of-the art equipment, is her source of inspiration and drive in leading CIBM, a world reknowned Centre of Excellence in Biomedical Imaging. Olivier SchneiderAfter his thesis defense in particle physics in 1989 at University of Lausanne, Olivier Schneider joins LBL, the Lawrence Berkeley Laboratory (California), to work on the CDF experiment at the Tevatron in Fermilab (Illinois), first as a research fellow supported by the Swiss National Science Foundation, and later as a post-doc at LBL. He participates in the construction and commissioning of the first silicon vertex detector to operate successfully at a hadron collider; this detector enabled the discovery of the sixth quark, named "top". Since 1994, he comes back to Europe and participates in the ALEPH experiment at CERN's Large Electron-Positron Collider, as CERN fellow and then as CERN scientific staff. He specializes in heavy flavour physics. In 1998, he becomes associate professor at University of Lausanne, then extraordinary professor at the Swiss Institute of Technology Lausanne (EPFL) in 2003, and finally full professor at EPFL in 2010. Having worked since 1997 on the preparation of the LHCb experiment at CERN's Large Hadron Collider, which started operation in 2009, he is now analyzing the first data. He also contributes since 2001 to the exploitation of the data recorded at the Belle experiment (KEK laboratory, Tsukuba, Japan). These two experiments study mainly the decays of hadrons containing a b quark, as well CP violation, i.e. the non-invariance under the symmetry between matter and antimatter.
Myrto LimniosTeaching & PhD Courses Empirical processes MATH-522 We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Regression methods MATH-408 General graduate course on regression methods
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.
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