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
Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
Yuning JiangExpertise
Learning- and optimization- based policies for operating complex intelligent systems such as nonlinear autonomous systems (e.g., au- tonomous vehicles, robotics, and smart buildings) and large-scale multi-agent systems (e.g., power and energy systems, IoT and traffic networks).
Expertise
Learning- and optimization- based policies for operating complex intelligent systems such as nonlinear autonomous systems (e.g., au- tonomous vehicles, robotics, and smart buildings) and large-scale multi-agent sy
Noémie Alice Yvonne Ségolène JeanninExpertise
Energy systems, Photovoltaic electricity generation, Electric vehicles charging, Geographic Information Systems (GIS)
My research focuses on coupling photovoltaic production with electric vehicle charging. I am developing a methodology to quantify the vehicle charging needs using a geographical approach. My PhD is part of the European project OPENGIS4ET, which will result in an online geographic platform to support the energy transition: citiwatts.eu.
Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Patrick Stefan Adriaan StokkinkI am a PhD student in the Urban Transport Systems Laboratory (LUTS) of the École Polytechnique Fédérale de Lausanne (EPFL). I received the M.Sc. degree in Econometrics and Management Science (specialization in Operations Research and Quantitative Logistics) in 2019 from Erasmus University Rotterdam.
My primary research fields and main research interests involve on-demand mobility and transportation systems. I am using a combination of optimization, simulation and control methods to solve operational and strategic challenges in these systems. My current work is mainly focused on large-scale carpooling and crowd-shipping systems.
Nicolas BoumalTeaching & PhD PhD Students Andreea-Alexandra Musat Past EPFL PhD Students Christopher Criscitiello, Quentin Rebjock Courses Continuous optimization MATH-329 This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorithms to solve constrained and unconstrained problems. Linear Algebra MATH-111(e) The purpose of the course is to introduce
Maryam KamgarpourMaryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant.
Mathias Josef PayerMathias Payer is a security researcher and professor at the EPFL school of computer and communication sciences (IC), leading the HexHive group. His research focuses on protecting applications in the presence of vulnerabilities, with a focus on memory corruption and type violations. He is interested in software security, system security, binary exploitation, effective mitigations, fault isolation/privilege separation, strong sanitization, and software testing (fuzzing) using a combination of binary analysis and compiler-based techniques. More details are available in his CV.
