Damien Lambert Alain Félicien GilliardEnseignement et PhD Cours Introduction to computational architecture AR-327 Ce cours reprend les bases de la modélisation 3D pour établir les fondements de la programmation appliqué au design architectural. L'objectif principal est de développer une pensée structurante computationnelle afin de maximiser l'utilisation d'outils numériques efficace
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
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
Stefana ParaschoEnseignement et PhD Doctorant·es actuel·les Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Cours Capitalizing on Uncertainty AR-809 Digital design and making: A critical introduction AR-503 Le cours présente des méthodes de conception et de fabrication numériques en combinant des compétences techniques avec des connaissances théoriques et une réflexion critique. Les sujets incluent: la programmation pour la conception, la fabr
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•
Sayan BiswasExpertise
Decentralized Learning; Federated Learning; Ethical ML focusing on Privacy, Fairness, and Personalization; Location Privacy.
I am a Postdoctoral Researcher at the SaCS lab at EPFL. I completed my PhD in Computer Science from INRIA and école Polytechnique in France, under the supervision of Catuscia Palamidessi. Previously, I have been a Visiting Scholar at the School of Computing at Macquarie University in Sydney, Australia, collaborating with Annabelle McIiver and Natasha Fernandes, and at WMG, t
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
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
Han SunExpertise
Deep Learning, Computer Vision, Domain Adaptation, Generative Modeling
Open Projects:
Test-Time Domain Adaptation for Anomaly Detection: SiROP link for detailed information
Han obtained her master's degree in Geomatic from the Federal Institute of Technology in Zürich (ETHZ). Before joining IMOS Lab - EPFL, she focused on computer vision with a particular interest in domain adaptation & style adaptation. During her Ph.D. study, she will explore more in the field of domain adaptation with its appli
Antoine BosselutAntoine Bosselut is an assistant professor at EPFL. He leads the EPFL NLP group, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge.
Prior to joining EPFL, he was a postdoctoral researcher at Stanford University working in the
SNAP
and
NLP
groups and a young investigator on the
Mosaic
project at the
Allen Institute for AI
. He completed his PhD at the University of Washington.
Lazar MilikicExpertise
LLMs (Large Language Models), NLP (Natural Language Processing), Automated Reasoning
Mission
My work focuses on developing robust methods for autoformalization and automated theorem proving using large language models. I aim to enhance the reasoning reliability of modern AI systems by reducing hallucinations, improving predictability, and integrating formal verification techniques and tools into LLM-based pipelines.
Before joining EDIC, I completed a Bachelor’s in Mathematics and Computer Science
Jiancheng YangI am a 4th-year PhD student in the Department of Electronic Engineering, Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng and MEng degree in the Department of Automation from the same university. Enrolled in a double master degree program, I spent 2 years in France with an Engineer degree. I was a visiting research fellow in Visual Computing Group at Harvard University. I am now visiting EPFL CVLAB, working with Prof. Pascal Fua.I focus on medical image analysis, 3D computer vision and trustworthy machine learning, with a clinical emphasis on lung cancer and thoracic diseases. I have (co-)first-authored more than 10 papers on top-tier journals / conferences, e.g., Cancer Research, CVPR, MICCAI and NeurIPS. I was a reviewer for more than 10 prestigious venues, a top-ranking participant for several AI competitions, and the lead organizer for MICCAI 2020 RibFrac Challenge.Updated on April, 2021.
Wenlong LiaoExpertise
deep learning, power system, renewable energy, data analysis
Alexandra Roma Larisa KushnirExpertise
I use experimental techniques including rock and magma deformation under in situ pressure and temperature conditions to understand the structure and behaviour of Earth materials. The majority of my research has focused on the evolution of permeability in Earth systems, with particular emphasis on the role of fractures in volcanic hazards and geothermal energy exploitation.
Expertise
I use experimental techniques including rock and magma deformation under in situ pressure and temperature conditions
Marcello IencaDr. Marcello Ienca is a Principal Investigator at the College of Humanities at EPFL where he leads the ERA-NET funded Intelligent Systems Ethics research unit. He is also an affiliate member of the Health Ethics and Policy unit, Department of Health Sciences and Technology, and an ordinary member of the
Competence for Rehabilitation Engineering & Science
at ETH Zurich, Switzerland.
Dr. Ienca's scholarship focuses on the ethical, legal, social and policy implications of emerging technologies. In particular, he investigates the broader implications of new (and often converging) sociotechnical trends such as Artificial Intelligence (AI), big data, digital epidemiology, robotics, assisted living, digital health, social media, dual use, and neurotechnology. He and his team use both theoretical and empirical methods to explore the requirements for responsible innovation, ethically-aligned technology design, user-centred design, and human-centered technology assessment.
Dr. Ienca is actively involved in science and technology policy within international organizations and professional societies. In particular, he is an appointed member of the Organisation for Economic Co-operation and Development’s (OECD) Steering Committee on Neurotechnology and the representative of the Swiss Delegation (appointed by the Swiss State Secretariat for Education, Research and Innovation, SERI). He has also been invited to serve as an expert advisor to the Council of Europe’s Ad Hoc Committee on Artificial Intelligence and the Bioethics Committee. Dr. Ienca has written reports for the OECD, the Council of Europe, and the European Parliament's Panel for the Future of Science and Technology. He is a Member of the Board of Directors of the Italian Neuroethics Society (SINe), a former Board Member and current member of the Nominating Committee of the International Neuroethics Society (INS). Ienca is a member of the Editorial Board of several academic journals such as Neuroethics, Bioethica Forum, Frontiers in Neuroergonomics and Frontiers in Genetics.
Ienca has received several awards for social responsibility in science and technology such as the Vontobel Award for Ageing Research (Switzerland), the Prize Pato de Carvalho (Portugal), the Sonia Lupien Award (Canada), the Paul Schotsmans Prize from the European Association of Centres of Medical Ethics (EACME) and the Data Privacy Plaque of Honour, awarded by the Italian Data Protection Authority. He has authored one monograph, several edited volumes, 60 scientific articles in peer-review journals, several book chapters and is a frequent contributor to Scientific American. His research was featured in academic journals such as
Neuron
,
Nature Biotechnology
,
Nature Machine Intelligence
,
Nature Medicine
and media outlets such as
Nature
,
The New Yorker
,
The Guardian
,
The Times
,
Die Welt
,
The Independent
, the
Financial Times
and others.
Furthermore, Dr. Ienca strongly supports open science, outreach and public engagement. He is committed to a holistic view of research that is not restricted to academia alone but involves an open approach to science communication, outreach and public engagement. Among other things, he is an open-science and open-data enthusiast and a human rights activist. He believes that there can be no ethical technological innovation without global justice.
