Mario PaoloneMario Paolone received the M.Sc. (with honors) and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 1998 and 2002, respectively. In 2005, he was appointed assistant professor in power systems at the University of Bologna where he was with the Power Systems laboratory until 2011. In 2010, he received the Associate Professor eligibility from the Politecnico di Milano, Italy. Since 2011 he joined the Swiss Federal Institute of Technology, Lausanne, Switzerland, where he is now Full Professor, Chair of the Distributed Electrical Systems laboratory and Head of the Swiss Competence Center for Energy Research (SCCER) FURIES (Future Swiss Electrical infrastructure). He was co-chairperson of the technical programme committees of the 9th edition of the International Conference of Power Systems Transients (IPST 2009) and of the 2016 Power Systems Computation Conference (PSCC 2016). He was chair of the technical programme committee of the 2018 Power Systems Computation Conference (PSCC 2018). In 2013, he was the recipient of the IEEE EMC Society Technical Achievement Award. He was co-author of several papers that received the following awards: best IEEE Transactions on EMC paper award for the year 2017, in 2014 best paper award at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, UK, in 2013 Basil Papadias best paper award at the 2013 IEEE PowerTech, Grenoble, France, in 2008 best paper award at the International Universities Power Engineering Conference (UPEC). He was the founder Editor-in-Chief of the Elsevier journal Sustainable Energy, Grids and Networks and was Associate Editor of the IEEE Transactions on Industrial Informatics. His research interests are in power systems with particular reference to real-time monitoring and operation, power system protections, power systems dynamics and power system transients. Mario Paolone is author or coauthor of over 300 scientific papers published in reviewed journals and international conferences.
André AnjosExpertise
Recherche ReproductibleReconnaissance de FormesTraitement d'ImagesApprentissage AutomatiqueBiométrie
Enseignement et PhD Doctorant·es actuel·les Gökhan Özbulak
Alain BorelExpertise
- Services d'information bibliothécaire- Gestion des données de recherche scientifique- Programmation (Python, Javascript, C, Fortran, Unix shell, Matlab)- Administration système (Unix, Mac OSX et MS Windows)- Modélisation moléculaire, en particulier simulations de dynamique moléculaire classique et théorie de la fonctionnelle de densité appliquées aux complexes de métaux de transition- Résonance paramagnétique électronique
Enseignement et PhD Cours Hands-on with Research Data Management in Chem
Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
Julia SchmaleEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Yolanda Temel, Nora Bergner, Benjamin Jérémy Laurent Heutte, Henrik Tasman Helmig, Sristi Shamarthi Das A dirigé les thèses EPFL de Ivo Fabio Beck, Roman Pohorsky Cours Physics and chemistry of the atmosphere ENV-320 Ce cours est une introduction aux phénomènes physiques et chimiques gouvernant la dynamique atmosphérique à petite et grande échelle. Le cours est structuré afin de donner une compréhension en profondeur de notre atmos
Dario FloreanoProf. Dario Floreano is director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). Since 2010, he is the founding director of the Swiss National Center of Competence in Robotics, a research program that brings together more than 20 labs across Switzerland. Prof. Floreano holds an M.A. in Vision, an M.S. in Neural Computation, and a PhD in Robotics. He has held research positions at Sony Computer Science Laboratory, at Caltech/JPL, and at Harvard University. His main research interests are Robotics and A.I. at the convergence of biology and engineering. Prof. Floreano made pioneering contributions to the fields of evolutionary robotics, aerial robotics, and soft robotics. He served in numerous advisory boards and committees, including the Future and Emerging Technologies division of the European Commission, the World Economic Forum Agenda Council, the International Society of Artificial Life, the International Neural Network Society, and in the editorial committee of several scientific journals. In addition, he helped spinning off two drone companies (senseFly.com and Flyability.com) and a non-for-profit portal on robotics and A.I. (RoboHub.org). Books
Manuale sulle Reti Neurali, il Mulino (in Italian), 1996 (first edition), 2006 (second edition)Evolutionary Robotics, MIT Press, 2000
Bio-Inspired Artificial Intelligence, MIT Press, 2008
Flying Insects and Robots, Springer Verlag, 2010
Radhakrishna AchantaEnseignement et PhD Doctorant·es actuel·les Martin Nicolas Everaert A co-dirigé les thèses EPFL de Nikolaos Arvanitopoulos Darginis, Bryan German Pantoja Rosero
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Afficher plus