Fabrizio SossanExpertise
Mathematical Modelling, Forecasting and Optimization for Power System Applications
Current work
He is currently working on (i) forecasting of the electrical load in application to real-time control of micro-grids and (ii) planning and development of the power system infrastructure under an increased penetration of distributed generation.
Fabrizio is an Italian citizen and was born in Genova on 9th April 1985. He got his B.Sc. and M.Sc. in Computer Engineering from the University of Genova in 2007
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.
Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
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).
Mathieu SalzmannI am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.
Michaël Clément Louis Ghislain ThémansMichaël Thémans holds a M.Sc. in Applied Mathematics (University of Namur, Belgium) and a Ph.D. in Operations Research and Transportation Modeling (EPFL, Switzerland). His Ph.D. thesis, supervised by Prof. Michel Bierlaire, was entitled "Numerical Methods and Models Relevant to Transportation Applications".
Between 2002 and 2007, he was research and teaching assistant in the Transport and Mobility Laboratory at EPFL. He published 5 papers in international journals in the field of Transportation and Operations Research. He was teaching assistant for 15 courses in Operations Research and Behavioral Modeling. He also supervised 20 master theses and research projects in Optimization and Behavioral Modeling. During the same period, he was working on several large-scale transportation-related research projects, in association with MIT and ETH Zurich as well as transportation professionals in Switzerland (Bureau Robert Grandpierre Rapp, Lausanne, Büro Widmer, Frauenfeld), sponsored both by the Swiss Federal Office of Roads and the Swiss National Science Foundation.
Between 2007 and 2009, he was statistician and R&D specialist at the Nestlé Research Center in Lausanne. He provided support in statistics and modeling to R&D centers worldwide and was involved in over 50 R&D projects. In parallel to this, he developed innovative discrete choice models to predict consumer purchasing behavior and disseminated these new methodologies to Nestlé markets worldwide. He also designed and analyzed over 40 market research studies for various Nestlé markets around the world. He also gave training in market research and Design of Experiments to R&D community.
Between 2007 and 2011, he also holded a position as lecturer at EPFL, teaching a master course in Numerical Optimization. Since 2014, he is lecturer at EPFL, co-teaching the "Global Issues" course entitled "Mobility B" which focuses on transportation systems and logistics systems.
Between 2010 and 2014, he was the Deputy Director of EPFL's Transportation Center (TraCE), in charge of the operational management of the EPFL's Transportation Center with the main focus on the business development activities. The main tasks associated with this position were:
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Develop strategic business partnerships and research projects with private companies and industries as well as public institutions and authorities, at the local, national and international levels.
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Percolate and highlight EPFL's ongoing research activities in transportation outside EPFL.
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Obtain external funding to conduct new cutting-edge multi-disciplinary research projects in the field of transportation at EPFL.
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Management of large-scale R&D projects with industry.
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Promotion of technology transfer and innovation in all fields related to transportation and mobility.
Between January 2015 and December 2016, he was Deputy of the Vice-President for Innovation and Technology Transfer at EPFL, in charge of seconding the Vice-President Adrienne Corboud Fumagalli in her various tasks.
Since January 2017, he is the Deputy of the Vice-President for Innovation at EPFL and the Head of the "Large Enterprises" and "Innovation Projects" Units of the Vice-Presidency for Innovation. He is also in charge of the operational management of 5 Interdisciplinary Centers affiliated to the Vice-Presidency for Innovation.
Since May 2017, he also holds the position of Vice-President of the EPFL Innovation Park Foundation.
Since mid-2018, he acts as the EPFL’s representative in the Board of Switzerland Innovation Network West EPFL (an innovation-driven network composed of 6 innovation poles in Western Switzerland).
Some other activities and affiliations of Michaël Thémans include:
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Scientific consulting for various private companies and national agencies in Switzerland and in France.
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Business Development and Fund Raising for various EPFL's startups and spin-offs.
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Strategic Business Development Advisor for BestMile SA.
Since May 2012, in parallel to his main activity at EPFL, he is partner and Chief Business Development Officer at "6T - Bureau de Recherche", an EPFL's spin-off specialized in mobility analysis.
His main scientific expertise is in the design, development and applications of demand models and optimization algorithms, which he successfully used during ten years in transportation, food and marketing contexts. He also has a significant experience in market research and consumer understanding. He also has a strong experience in the transportation demand analysis and in the modeling/optimization/simulation of complex transportation systems.
During the years 2010-2014, he has acquired a global knowledge and expertise in transportation thanks to the operational and strategic management of EPFL's Transportation Center (TraCE) which gathers all EPFL's laboratories related to transportation and mobility.
He has also developed over the past seven years a strong experience and expertise in large-scale project management, people management, business development and technology transfer from research to business, with a strong focus on partnerships between academia and Large Enterprises in Switzerland and abroad. Guillaume Romain ObozinskiGuillaume Obozinski is Deputy Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.
Amir Roshan ZamirAmir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology in Lausanne (EPFL). Prior to EPFL, he spent time at Stanford, UC Berkeley, and UCF. His research interests are broadly in computer vision, machine learning, perception-for-robotics, and AI. He has been recognized with CVPR (2018) Best Paper Award, CVPR (2016) Best Student Paper Award, CVPR (2020) Best Paper Award Nomination, and NVIDIA Pioneering Research Award (2018), among others. His research has been covered by various press outlets, such as The New York Times or Forbes.
Wolf Hendrik HuwaldDr. Hendrik Huwald is a scientist at the Laboratory of Cryospheric Sciences (CRYOS) and a lecturer at the Environmental Sciences and Engineering Section (SSIE) of the Swiss Federal Institute of Technology in Lausanne (EPFL). He completed his PhD in 2003 at the Swiss Federal Institute of Technology in Zürich (ETHZ), developing a numerical model for sea ice and studying energy transfer processes in the Arctic. Between 2005 and 2012 he was a post-doctoral fellow and scientist at the Laboratory of Environmental Fluid Mechanics and Hydrology (EFLUM) of EPFL working on Alpine snow-atmosphere interaction, and energy balance-related research mainly in mountain regions. During this time, he designed, led and participated in numerous large field experiments in different environments. In 2013 he joined the newly founded CRYOS laboratory where he conducted research in the domains of snow science, hydrology, boundary layer meteorology and environmental sensing. He has extensive experience with project management both on national and international level.
Jiannong FangExpertise
Computational Fluid Dynamics; High Performance Computing; Groundwater Flow and Transport; Rheology of Complex Fluids
Current work
Large Eddy Simulation; Immersed Boundary Method; Fast Projection Methods for Incompressible Flows; Wind Power Forecasting
Teaching & PhD Past EPFL PhD Students Marco Giovanni Giometto Past EPFL PhD Students as codirector Gaofeng Zhao
