Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Charlotte GrossiordTeaching & PhD PhD Students Maxwell Zachary Wallace Bergström, Julie Anne Botzas-Coluni, Cross Jacob Heintzelman, Léo César Bernard Jacquat, Céline Joanna Sijlmans Past EPFL PhD Students Eugénie Mas, Laura Mekarni, Janisse Deluigi, Thibaut Juillard Courses Applied ecology ENV-422 The course will provide the ecological systems knowledge needed to question applied sustainability solutions. We willcritically assess the complexity of current environmental issues, illustrating basic ecological
Lénaïc ChizatTeaching & PhD PhD Students Javier Esteban Maass Martinez Past EPFL PhD Students Guillaume Yitian Wang Courses Computational optimal transport MATH-528 Computational aspects of measure transportation, from classical optimal transport to modern denoising diffusion models. Topics in machine learning MATH-520 Mathematical analysis of modern supervised machine learning techniques, with an emphasis on the mathematics of artificial neural networks.
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Giuseppe CarleoGiuseppe Carleo is a computational quantum physicist, whose main focus is the development of advanced numerical algorithms tostudy challenging problems involving strongly interacting quantum systems.He is best known for the introduction of machine learning techniques to study both equilibrium and dynamical properties,based on a neural-network representations of quantum states, as well for the time-dependent variational Monte Carlo method.He earned a Ph.D. in Condensed Matter Theory from the International School for Advanced Studies (SISSA) in Italy in 2011.He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland, where he alsoserved as a lecturer in computational quantum physics.In 2018, he joined the Flatiron Institute in New York City in 2018 at the Center for Computational Quantum Physics (CCQ), working as a Research Scientist and project leader, and also leading the development of the open-source project NetKet.Since September 2020 he is an assistant professor at EPFL, in Switzerland, leading the Computational Quantum Science Laboratory (CQSL).
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Radoslav MarchevskiTeaching & PhD PhD Students Jou An Chen, Tobias Alexandre Monnard, Xiafei Chang, Gauri Napoletano, Kerim Guseinov, Noémie Duc Courses Particle physics I PHYS-415 Presentation of particle properties, their symmetries and interactions.Introduction to quantum electrodynamics and to the Feynman rules. Particle physics: the flavour frontiers PHYS-471 This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and
Alexandros PapagiannisProf. Alex. Papayannis (Dipl. Ing., DEA, Ph.D.) is the Director of the Laboratory of Optoelectronics, Lasers and Applications (
http://www.physics.ntua.gr/~lola/pages/en.html
) and Professor of Atmospheric Physics, Laser Technology and Laser Remote Sensing at the National Technical University of Athens (NTUA). He received his DEA and Ph.D. Diplomas from the Université Paris 7, working at the Institut Pierre Simon Laplace (IPSL) du CNRS/Université Paris 6. He is affiliated to the Laboratory of Atmospheric Processes and their Impacts (LAPI) at EPFL.
He is a LiDAR expert (more than 35 years) in vertical profiling of atmospheric parameters, aerosols, bio-aerosols, clouds and gases (O3, H2O, glyoxal) in the troposphere, in combination with sun photometry, satellite data,
in situ
aerosol measurements and meteorological modelling. Being member of the 1st Tropospheric Ozone Network (TOR/TESLAS/EUREKA Projects) in Europe, he created, on 1996, the 1st European lidar Network (France, Switzerland, UK, Germany, Italy, Greece, Portugal). Soon after, he initiated the creation of several lidar groups in Greece, Brazil, Romania, China, etc., as well as of the RAYMETRICS lidar company (
www.raymetrics.com
), which is the first lidar company in the world with customers in throughout Europe, Americas, Asia and Africa. He is a founding member of the European lidar Network (EARLINET) (
www.earlinet.org
), which has been in operation since 2000. The NTUA lidar station serves as a calibration station of the CNES/NASA space lidar mission CALIPSO (
https://www-calipso.larc.nasa.gov/
) and the European Space Agency (ESA) space lidar mission AEOLUS (
https://www.esa.int/Applications/Observing_the_Earth/FutureEO/Aeolus/Introducing_Aeolus
).
His research focuses on the intercontinental transport of ozone, desert dust and biomass burning and continental aerosols and on their impact on clouds, climate, air quality and health. As his 1st Marie Curie ITN Grant (http://itars.uni-koeln.de/static/) combined the synergy of lidars, radars and micro-wave profiling systems to study of the aerosol-clouds interactions, his research is also focusing on the cloud formation processes based on such synergies. In recent years, his emphasis is also put on the typing and profiling of bio-aerosols using novel prototype lidar systems he designed and developed at NTUA.
He is member (2008-2015) and President (2015-2023) of the International Coordination Group for Laser Atmospheric Studies (ICLAS) (
http://iclas-ilrc.org/).
He has served as Co-chair and Member of the Scientific Committee of more than 26 International Conferences, related to lidar atmospheric/meteorological applications. He has participated in 67 research projects (EU, ESA, NASA, CNRS, INOE-Romania, IPEN-Brazil, and Greek national funds) and has published 132 papers in peer-reviewed journals, 6 Book chapters and 250 papers in peer-reviewed International Conferences Proceedings. He has received more than 8.100 citations (h-index 46) in Google Scholar. He has supervised more 15 Ph.D. students at NTUA and 60 M.Sc. Diploma Theses. Simon Elias BibriExpertise
• Sustainable cities• Smarter eco-cities• Sustainable smart cities• Artificial Intelligence of Things (AIoT) • Generative Artificial Intelligence of Things (GAIoT)• Foundation Models (FMs) • Quantum Generative Artificial Intelligence (QGAI)• Urban Digital Twins (UDTs)• Urban Brain (UB) • Smart Circular Metabolism• Urban planning and design• Environmental sustainability and climate resilience• Sustainable smart energy• Sustainable smart transportation• Sustainable smart waste and water management•
Aldo BrandiExpertise
Earth Sciences and GeographyUrban climate modeling and measurements
