Kenan ZhangDr. Kenan Zhang is a tenure-track Assistant Professor at the école polytechnique fédérale de Lausanne (EPFL) and leads the Laboratory for Human-Oriented Mobility Eco-system (HOMES). Her research focuses on the mathematical modeling, optimization and operations management of urban transportation systems, with special interests in emerging mobility services and technologies.Kenan obtained her BSc. in Civil Engineering from Tsinghua University and MSc. in Architecture-Engineering-Construction Management (AECM)
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•
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.
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
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.
Emmanouil BarmpounakisI am a Postdoctoral Researcher in the Urban Transport Systems Laboratory (LUTS) of the École Polytechnique Fédérale de Lausanne (EPFL). I hold a Doctoral Degree in Transportation Engineering from the National Technical University of Athens having graduated in 2017 and a diploma in Civil Engineering (Transportation Engineering Cycle) having graduated in 2012.My primary research field is Traffic Operations, Unmanned Aerial Systems (UAS) for traffic operations and Data Science. My professional experience includes participation in projects and traffic studies in Greece.
Wenjie XuI am currently a PhD student in Electrical Engineering in EPFL, working with Prof. Colin Jones. I received my MPhil from the Department of Information Engineering, The Chinese University of Hong Kong. I am fortunate to work with Prof. Minghua Chen during my MPhil research. Prior to that, I received my BEng in Electronic Engineering and (dual) BSc in Math, both from Tsinghua University in 2018.
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.
Negar KiyavashTeaching & PhD PhD Students Mohammad Shahverdikondori, Badri Mohammad Reza, Arefe Boushehrian, Sepehr Elahi, Mohammadsadegh Khorasani, Mohammadsaeed Masiha, Amir Mohammad Aboueimehrizi Past EPFL PhD Students Sina Akbari, Ehsan Mokhtarian, Yaroslav Kivva, Fateme Jamshidi Courses Causal inference MGT-416 Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory andapplication will be balanced, with students working directly with networ
Liang XuLiang Xu is a postdoctoral scholar at École polytechnique fédérale de Lausanne, Switzerland. He received his Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2018 and the M.Sc. and B.Sc. degrees in Automation from Harbin Institute of Technology, China, in 2013 and 2011, respectively. Prior to his current position, he was a postdoctoral scholar at Nanyang Technological University, Singapore from 2018 to 2019. His research interests include reinforcement learning and networked control systems.
