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EPFL

43 labs at EPFL work on AI, most in Machine Learning, Computer Vision and AI for Science. 676 top-venue papers since 2023. Applications close Dec 1.

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Dec 1

EDIC Computer and Communication Sciences PhD

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Labs at EPFL

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43 labs at EPFL are listed. Pick a topic to see which of them work on it.

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43 labs

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Pascal FuaFull Professor

Leads the Computer Vision Laboratory, working on 3D reconstruction, shape modelling, biomedical image analysis and computer-assisted engineering design.

3D vision & neural rendering
Medical image analysis
Signal processing & information theory

2026DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask DiffusionMICCAI
2026End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRITMLR

72 T1 · 155 papers · 16 members · 88 alumni

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Volkan CevherFull Professor

Leads the Laboratory for Information and Inference Systems, working on optimization theory, reinforcement learning and robust deep learning.

Learning theory & optimization
Reinforcement learning
Efficient training & inference

2026Diffusion-based Cumulative Adversarial Purification for Vision Language ModelsTMLR
2026ESLM: Risk-Averse Selective Language Modeling with Hierarchical Batch SelectionTMLR

71 T1 · 87 papers · 7 members · 25 alumni

CHEPFLCivil Engineering Institute (IIC, School of Architecture, Civil and Environmental Engineering ENAC)Dec 1

Alexandre AlahiAssociate Professor

Leads the Visual Intelligence for Transportation lab, developing computer vision and deep learning for autonomous mobility, such as human trajectory…

Embodied & active vision
Robot perception & SLAM
Time series, anomaly & spatio-temporal data

2026Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized DistillationCVPR
2026EverAnimate: Minute-Scale Human Animation via Latent Flow RestorationNeurIPS

45 T1 · 107 papers · 12 members · 8 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Antoine BosselutTenure Track Assistant Professor

Leads the EPFL NLP group, building language systems that represent and reason about knowledge, including commonsense reasoning and knowledge-grounded language…

Knowledge, QA & retrieval
Large language models
Signal processing & information theory

2026AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract ThinkingICLR
2026AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AICHI

41 T1 · 61 papers · 10 members · 19 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Martin JaggiAssociate Professor

Leads the Machine Learning and Optimization Laboratory, working on distributed and collaborative training, optimization methods and open medical language…

Learning theory & optimization
Signal processing & information theory
Distributed, cloud & edge systems

2026Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsACL
2026Beyond URLs: Metadata Diversity and Position for Efficient LLM PretrainingICLR

37 T1 · 46 papers · 12 members · 13 alumni

CHEPFLInstitute of Bioengineering (IBI, School of Engineering STI)Dec 1

Auke Jan IjspeertFull Professor

Leads the Biorobotics Laboratory, studying locomotion control with legged and amphibious robots, central pattern generators and neuromechanical simulation.

Legged locomotion & humanoids
Planning, control & multi-robot systems
Physics-based simulation & animation

2026Bioinspired multimodal roboticsScience Robotics
2026Centralized brain networks controlling antennal grooming coordinationNature Communications

34 T1 · 92 papers · 11 members · 27 alumni

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Ali H. SayedFull Professor

Leads the Adaptive Systems Laboratory, studying adaptation and learning over networks, including distributed and multi-agent learning.

Reasoning & neuro-symbolic AI
Planning, control & multi-robot systems
Distributed, cloud & edge systems

2026Causal influences over social learning networksJMLR
2026Decentralized learning of decision models for classification with dependent agentsICASSP

27 T1 · 80 papers · 3 members · 33 alumni

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Aude BillardFull Professor

Leads the LASA laboratory, working on robot learning from demonstration, dynamical-systems control and dexterous manipulation.

Manipulation & robot learning
Planning, control & multi-robot systems

2025“Data will solve robotics and automation: True or false?”: A debateScience Robotics
2025A Roadmap for Ai in RoboticsNature Machine Intelligence

26 T1 · 68 papers · 6 members

CHEPFLInstitute of Mechanical Engineering (IGM, School of Engineering STI)Dec 1

Josie HughesTenure Track Assistant Professor

Leads the CREATE Lab for computational robot design and fabrication, using data-driven methods to design and build soft and dexterous robots.

Manipulation & robot learning
Geometry processing & modeling

2026A detachable crawling robotic handNature Communications
2026A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid RobotsTPAMI

25 T1 · 82 papers · 17 members · 6 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Rachid GuerraouiFull Professor

Researches distributed algorithms and robust distributed machine learning, including Byzantine-resilient learning and transactional memory.

Trustworthy & safe ML
Signal processing & information theory
Distributed, cloud & edge systems

2026Distributional Machine Unlearning via Selective Data RemovalICLR
2026Robust Federated InferenceICLR

24 T1 · 52 papers · 7 members · 46 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Mathieu SalzmannAdjunct Professor

Works on deep learning for 2D and 3D scene understanding, efficient and robust deep learning, and domain adaptation.

3D vision & neural rendering
Recognition, detection & segmentation
Signal processing & information theory

2026FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose EstimationWACV
2026Shot and Technical Error Detection in Tennis Using Graph Convolutional NetworksInternational Sports Analytics Conference and Exhibition

20 T1 · 35 papers · 10 members · 12 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Lenka ZdeborováAssociate Professor

Leads the Statistical Physics of Computation Laboratory, using statistical physics to study high-dimensional learning and inference problems.

Learning theory & optimization
Signal processing & information theory
Efficient training & inference

2026Inference in spreading processes with neural-network priorsPhysical Review E
2026Minority takeover in majority dynamics: Searching for rare initializations via the history passing algorithmPhysical Review E

18 T1 · 43 papers · 5 members

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Maria BrbicTenure Track Assistant Professor

Develops machine learning methods for biomedicine, such as models that discover new cell types and generalize across single-cell datasets.

Genomics & computational biology
Medical imaging & healthcare AI
Signal processing & information theory

2026HeurekaBench: A Benchmarking Framework for AI Co-scientistICLR
2026MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and PlanningNeurIPS

18 T1 · 21 papers · 12 members · 18 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Amir ZamirTenure Track Assistant Professor

Leads the Visual Intelligence and Learning Lab, working on multi-task and multimodal vision models and perception for embodied agents.

Vision-language & multimodal
Embodied & active vision
Multimodal & grounded language

2026(1D) Ordered Tokens Enable Efficient Test-Time SearchICML
2026How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision TasksICLR

15 T1 · 15 papers · 10 members · 3 alumni

CHEPFLBrain Mind Institute (School of Life Sciences SV)Dec 1

Alexander MathisAssociate Professor

Leads a group combining computational neuroscience and machine learning to model animal behaviour, including markerless pose estimation (DeepLabCut) and motor…

Neuroscience & brain-computer interfaces
Computational neuroscience & cognition

2026KINESIS: Motion Imitation for Human Musculoskeletal LocomotionICRA
2026LLaVAction: evaluating and training multi-modal large language models for action understandingICLR

13 T1 · 13 papers · 10 members · 5 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Emmanuel AbbéFull Professor

Studies the mathematical foundations of learning and reasoning in neural networks and large language models, including generalization on unseen data and the…

Learning theory & optimization
Signal processing & information theory
Large language models

2026AbstRaL: Augmenting LLMs’ Reasoning by Reinforcing Abstract ThinkingICLR
2026Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspectiveMedical Image Analysis

13 T1 · 36 papers · 5 members · 3 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Tanja KäserTenure Track Assistant Professor

Heads the ML4ED laboratory, applying machine learning to education, such as student modelling and adaptive learning environments.

Learning & education technology
Signal processing & information theory
Language & society

2026Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksACL
2026Investigating Social Bias Propagation in Federated Fine-tuning of Large Language ModelsAAAI

12 T1 · 80 papers · 8 members

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Jean-Philippe ThiranFull Professor

Leads LTS5, working on medical image analysis, diffusion MRI and deep learning for image processing.

Image & video generation
Medical image analysis

2026Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound ImagingIEEE Trans. Computational Imaging
2026Spatially regularized super-resolved constrained spherical deconvolution (SR 2 -CSD) of diffusion MRI dataNeuroImage

11 T1 · 35 papers · 9 members · 52 alumni

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Michael UnserFull Professor

Leads the Biomedical Imaging Group, working on computational imaging, inverse problems and learning-based image reconstruction.

Computational imaging & photography
Medical image analysis
Signal processing & information theory

2026A Statistical Benchmark for Diffusion-Posterior-Sampling AlgorithmsICLR
2026Flower: A Flow-Matching Solver for Inverse ProblemsICLR

11 T1 · 39 papers · 6 members · 37 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Sabine SüsstrunkFull Professor

Leads the Image and Visual Representation Lab, working on computational photography, image quality and aesthetics, and computer vision.

Computational imaging & photography
Signal processing & information theory

2026Color Constancy in Hyperspectral Imaging via Reduced Spectral SpacesICIP
2026Discovering Partial Differential Equations With Neural Cellular AutomataArtificial Life

11 T1 · 26 papers · 5 members · 30 alumni

Labs by fieldClick a field to narrow the list