Michaël UnserExpertise
Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution
Enseignement et PhD Doctorant·es actuel·les Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Mehrsa Pourya, Zhiyuan Hu A dirigé les thèses EPFL de Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, F
Johan AuwerxEnseignement et PhD Doctorant·es actuel·les Wenyu Liu, Maria Boulougouri, Giacomo Vincenzo Giorgio Von Alvensleben A dirigé les thèses EPFL de Pénélope Andreux, Mitsunori Nomura, Evan Graehl Williams, Hongbo Zhang, Virginija Jovaisaite, Elena Katsyuba, Karim Laurent Gariani, Adrienne Joëlle Laurence Mottis, Hao Li, Peiling Luan, Alexis Bachmann, Mario Romani, Xiaoxu Li, Alessia De Masi, Amélia Lalou A co-dirigé les thèses EPFL de Serge Thanh Son Ducommun, Laura Lukjanenko, Joanna Ratajczak, Angélique Sato
Rolf GruetterAwards:
1999 Young Investigator Award Plenary Lectureship
, International Society for Neurochemistry
2011 Fellow
, ESMRMB
2011 Teaching Award
, Section Sciences de la Vie, EPFL
Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
Simone DeparisExpertise
Simone Deparis est professeur à l’EPFL, spécialisé en mathématiques appliquées, analyse numérique et didactique des mathématiques à l’université. Ses recherches portent à la fois sur la modélisation computationnelle pour les applications biomédicales et sur l’innovation pédagogique, avec un accent sur l’équité, l’auto-efficacité et la réforme de l’évaluation dans les grands cursus scientifiques.
Mission
Mes recherches portent sur les mathématiques appliquées et les sciences de l’apprentissage. En
Herbert SheaEnseignement et PhD Doctorant·es actuel·les Myoung Ju Kim, Xintong Tong, Huapeng Zhang, Rohit Kadungamparambil John, Yichi Luo, Lucas Aurélien Jourdan, Ayana Mizutani, Donghyun Kim A dirigé les thèses EPFL de Michael Bodendorfer, Renato Krpoun, Samuel Rosset, Muhamed Niklaus, Kaustav Ghose, Samin Akbari, Vinu Lalgudi Venkatraman, Luc Maffli, Simon Dandavino, Tobias Bandi, Subha Chakraborty, Pietro Romano, Alexandre Poulin, Marianna Fighera, Nadine Besse, Alexis Pierre Henri Marette, Reto Wiesendanger, Fr
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).
Demetri PsaltisEnseignement et PhD Doctorant·es actuel·les Victoria Fay, Colin Nikhil Christian A dirigé les thèses EPFL de Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç A co-dirigé les thèses EPFL de Ugur
Daniel SageExpertise
Publications
Enseignement et PhD A co-dirigé les thèses EPFL de Daniel Andreas Schmitter, Anaïs Badoual, Laurène Donati Cours Bioimage informatics BIO-410 Le cours fournit une complète revue des méthodes, algorithmes et des outils logiciels utilisés en analyse d'images biologiques. Il expose les concepts fondamentaux et les solutions informatiques permettant d'extraire des informations quantitatives à partir d'images multidimensionnelles. Fundamentals of Image Analysis EE
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