Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
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.
Bruno LemaitreExpertise
Directeur du Global Health Institute
Enseignement et PhD Doctorant·es actuel·les Blandine Ribotta, Yao Tian, Désirée Popelka, Prince Kumar Sah, Siqi Wang, Kenan Krakovic, Nathan Alexandre Klotz A dirigé les thèses EPFL de Sveta Chakrabarti, Olivier Binggeli, Jeremy Keith Herren, Juan Camilo Paredes Escobar, Alfred Chng, Maroun Bou Sleiman, Jan Paul Dudzic, Mario Gonzalo Garcia Arraez, Claudia Melcarne, Alice Marra, Bianca Marie Petrignani, Mark Austin Hanson, Alexia Laurie Carboni, Asya Dolgikh
Florian Frédéric Vincent BreiderTravail en cours
My current work involves: (I) elucidating the formation mechanisms of carcinogenic/mutagenic N-nitrosamines in aquatic systems under varying environmental conditions, (II) developing new analytical tools to detect and quantify N-nitroso compounds in water and biological fluids, and (III) elucidating the role of disinfection agents in the prevalence of antibiotic resistant bacteria in wastewater
RechercheConferences Breider F., von Gunten U., (2017) Novel method for the quantification of th
Mor-Miri MishkovskyI am a chemist, graduated Cum Laude in 2002 from Tel Aviv University in Israel. I obtained a PhD in Physical Chemistry from the Weizmann Institute of Science in Israel on the development of new technology for rapid detection of nuclear magnetic resonance (NMR) spectroscopic data aiming at reducing the measurement time from hour to a fraction of seconds. My thesis “Methodological Developments in Ultrafast Multidimensional NMR” granted me the Auto Swartz excellence award in 2007. Since 2009 I am working with the Laboratory of Functional and Metabolic Imaging at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, on the development of hyperpolarized (HP) magnetic resonance spectroscopy (MRS) methodologies for monitoring biochemical processes in real-time.My research is focused on the development of Magnetic Resonance (MR) Molecular Imaging by dissolution dynamic nuclear polarization (dDNP). HP agents to interrogate biochemical processes in real-time are applied in vivo in the healthy brain and disease models, aiming at improving our understanding of cerebral function and metabolism toward better clinical diagnostics and therapy.
Emad OveisiDr Emad Oveisi is a senior scientist at the Interdisciplinary Centre for Electron Microscopy (CIME), EPFL.
Emad received a BSc in Metallurgy and Materials Engineering (2005) and an MSc in Materials Science (2008) both from the University of Tehran (Iran). He graduated with a PhD in Materials Science and Engineering at EPFL in 2014 for a thesis on the "Three-Dimensional STEM Imaging of Dislocations" under the direction of Prof. Cécile Hébert. The PhD thesis at the Electron Spectrometry and Microscopy Laboratory (LSME), served as an introduction to many of the advanced microscopy techniques that have proven to be a platform for his research career. A post-doctoral research at the centre for electron microscopy gave him the opportunity to peruse a cutting-edge research on one of the most modern aberration-corrected transmission electron microscopes.Since the inauguration of the Energypolis campus of EPFL in Sion, he has been the manager and reference scientist of the electron microscopy platform of EPFL-Valais, working with 9 research groups and more than 200 researchers. In addition to this core responsibility, he provides advanced microscopy consulting and service to EPFL scientists and assist their research to the highest level possible.
Emad Oveisi’s research focuses on the application and development of novel electron microscopy techniques, with emphasis on 3D imaging of crystal defects, as well as the precision measurement of materials properties using aberration-corrected S/TEM. In 2018, he received the prestigious Microscopy Innovation Award for inventing “Single-shot three-dimensional electron imaging”, a novel technique that enables 3D imaging of in situ dynamics.
In 2016 Emad was elected as an interim representative for the scientific staff ("corps intermédiaire") to the Council of the Institute of Chemistry (ISIC). Since 2019, he is a member of EPFL Teachers’ Council (CCE) and has been elected as one of its four bureau members. This role allows him to be exposed to new ideas and pedagogical challenges, as well being involved in discussions with the Vice Presidency of Education (VPE) and other teaching organisations for defining teaching strategies at the EPFL.
Graham KnottEnseignement et PhD Cours Methods: from disease models to therapy BIOENG-518 Ce cours décrira les méthodes qui sont à la base des approches translationnelles depuis la génération et la caractérisation des modèles des maladies jusqu'aux applications thérapeutiques. Les bases théoriques seront complétées par des rotations pratiques dans les plateformes technologiques.
