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•
Ivan HajdukovicExpertise
Macroeconomics, Economic policies, International economics, Environmental and resource economics, Nature-based solutions, Applied econometrics,
I am an applied economist with a keen interest in economic policies, international economics, environmental and resource economics, and agricultural and forestry economics. I obtained my PhD in Economics from the University of Barcelona in 2021 and hold a Master's degree in Economics from the University of Lausanne, and a Bachelor's degree in Economics fro
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
Francisco Xavier Felix Martin Del CampoExpertise
Transdisciplinary researchSocio-metabolic researchMaterial flows and stocks analysisSustainabilityBuilt environmentInfrastructureClimate changeResource securityCircular economyWaste
Francisco has a Civil Engineering background specialized in Resources Management and has several years of professional experience in the construction and engineering sector. He received his Master's degree in Project Management for Environmental and Energy Engineering from IMT Atlantique, France, and his PhD in Sustain
Zhaoming QinEducation M.Sc | Control Scince and Engineering 2019 – 2022 Tsinghua University B.Eng | Automation 2015 – 2019 Beihang University
Virginia LangVirginia started in the medical research field as a Coordinator of Research at the Clinical Research Unit Kennedy Institute of Johns Hopkins Medical Center. She was responsible for the initiation, coordination, and management and/or analysis of research projects in the Clinical Research Unit. These projects were funded by various Federal Government Agencies. Subsequent to Johns Hopkins Medical Center, Virginia entered the field of Human Factors through the doctoral program at SUNY Binghamton. Virginia held a fellowship at the Aeromedical Research Laboratory of the United States Air Force at Wright-Patterson AFB, Dayton, Ohio and a fellowship at NASA. Her research dealt with cognitive factors that differentially affect the characteristics of visual displays. Applications of this research are directly related to various medical devices and software applications providing Medical Device Human Factors by HirLan clients with 30 years of Human Factors experience. In addition, Virginia has extensive experience in the areas of product design, Customer Centered Participatory Design processes, and product lifecycle management. She is also known in the Human Computer Interaction and Usability Communities for her innovative techniques for collecting and incorporating user/customer feedback throughout the product lifecycle. In July 2014, Virginia founded and established the HirLan Institute of Human Factors with labs in Carlsbad, California and a Consortium arrangement in London, UK. HirLan supports Top Ten pharma/medical device companies, as well as, start-ups with consulting and testing services. These services are in conjunction with their clients’ FDA 510(k) and CE mark applications. Virginia holds a PhD in Cognitive-Experimental Psychology from SUNY Binghamton, and a Master of Science (ABT) in Applied Technology, Systems Science from SUNY Binghamton.
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Parmenion MavrikakisExpertise
Computational electromagnetics, integral equations, finite element analysis, metasurfaces, photonics, plasmonics and microwaves.
Current Work
Developing a C++ code for the modeling of light scattering in layered media with the surface integral equation method.
I am a PhD student in the Electrical Engineering Department (EDEE) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Nanophotonics and Metrology Laboratory (NAM), part of the Microengineering Department (IEM) at EPFL. M
Chloé Marlène MontavonEducation Bachelor of Arts, Sociologie et Économie politique - Business Communication | 2017 – 2020 Université de Fribourg (FR -CH), Département des Sciences Sociales, Faculté des Lettres et des Sciences Humaines Développement territorial, orientation Urbanisme opérationnel | 2020 – 2022 HES-SO Master - Université de Genève, CH Faculté d'Ingénierie et d'Architecture (HES-SO Master) et des Sciences de la Société (UNIGE)
ResearchCurrent Research Fields nocturnal mobilit
Oliver MüllerEducation B.Sc. & M.Sc. in Physics | 2008 – 2014 University of Basel Ph.D. in Astronomy | 2014 – 2018 University of Basel Professionals experiences SNSF Postdoctoral Fellow 2018–2021 University of StrasbourgSenior Data Analyst 2021–2022 Google, SwitzerlandSNSF Ambizione Fellow 2022–2022 EPFL
Teaching & PhD Past EPFL PhD Students as codirector Nick Heesters
Awards Amerbach Prize University of Basel 2019 Edith Alice Müller Award Swiss Society for Astrophysics a
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
Matteo VilucchioEducation M.Sc. Theoretical Physics | 2020 Р2022 ENS Paris B.Sc. Physics | 2017 Р2020 Universit̩ de Pise
Sayan BiswasExpertise
Decentralized Machine Learning and Federated Learning focusing on Privacy, Fairness, and Personalization; Secure and Trustworthy Distributed Systems; Differential Privacy; Location Privacy.
Sayan Biswas (CV) is a Postdoctoral Researcher in the Scalable Computing Systems (SaCS) lab at EPFL, Switzerland, led by Prof. Anne-Marie Kermarrec. He completed his PhD in Computer Science at INRIA and école Polytechnique in France, under the supervision of Prof. Catuscia Palamidessi. Prior to that, Sayan stud
Yujia ZhangExpertise
Dropletronics: microscale droplet-based modular iontronics (e.g., batteries, diodes, transistors, memristors and circuits)Bioiontronics and bioelectronicsFunctional synthetic, cellular and hybrid tissuesBioengineering and human-machine interfaceAdvanced manufacturing of soft and living matter across multiple scales
2026 Masters Semester Project/Thesis, PhD and Postdoc Positions
Many opportunities exist in microengineering, bioengineering, materials science, microrobots, programming and AI; please
Chenghao XuEducation Bachelor of Engineering | Mechnical Engineering 2016 – 2020 Southern University of Science and Technology, China Master of Science | Robotics 2020 – 2023 Delft University of Technology, Netherlands
Xinxin LiaoXinxin Liao received the B.S. and Ph.D. degrees in instrument science and technology from the University of Science and Technology of China, Hefei, China, in 2015 and 2020, respectively. After that, he was a postdoctoral fellow with the Institute of Vibration Shock & Noise, Shanghai Jiao Tong University, Shanghai, China. He is currently a postdoc/scientist in LAI, STI, EPFL working on ultrasonic motor optimization. His research interests include smart piezoelectric actuators and sensors, robotics, piezoelec
Sangwoo KimSangwoo Kim is set to join EPFL as a Tenure Track Assistant Professor in September 2023. Prior to his appointment at EPFL, he served as a postdoctoral fellow in the Department of Mechanical Engineering at the University of California, Santa Barbara. He earned his graduate degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his research delved into the relationships between statistics, geometry, and mechanical states in cellular matters. Currently, his research focus on fundamental understanding of biological and living systems, as well as the study of soft and active matter employing principles from mechanics and physics. His research interests encompass embryonic development, tissue morphogenesis, structure and mechanics of soft materials, inherent structure of amorphous materials, and non-equilibrium dynamics of active matter.
