for Computer Science, Data Science, Communication Systems
- Labs in the School of Computer & Communication Sciences
- Labs in other Schools at EPFL accredited by the sections
- IC and associate research centers
School | URL | Lab | Supervisor | IC Domain | Research Interests |
---|---|---|---|---|---|
IC/SV (joint) | AIMM | Artificial Intelligence in Molecular Medicine | Bunne, Charlotte | AIML, VC | machine learning, deep learning, foundation models, personalized medicine, computational biology, control theory, optimal transport |
IC | CHILI | Computer-Human Interaction for Learning & Instruction | Dillenbourg, Pierre | DE, HCI | R/VR, tangibles, eye tracking, collaborative learning, vocational education, classroom orchestration, learning technologies, learning analytics, human-computer interaction |
IC | CLAIRE | AI Research | Gulcehre, Caglar | AIML, NLP, VC | machine learning, deep dearning, reinforcement learning, cognitive science, artificial intelligence |
IC | COMPSEC | Computation Security | Chiesa, Alessandro | ATCS, SP | probabilistic proofs, zero knowledge proofs, succinct arguments |
IC | CVLAB | Computer Vision | Fua, Pascal | AIML, SIP, VC | computer vision, image understanding, machine learning, deep learning |
IC | CVLAB | Computer Vision | Salzmann, Matthieu | AIML, VC | computer vision, domain adaptation, efficient and robust deep learning, deep learning for visual scene understanding |
IC | DATA | Data Analysis Theory and Applications | Koch, Christoph | ATCS, DMIR, PLFM | foundations of query languages, analytical databases, incremental view maintenance and online query processing, databases and compilation |
IC | DCL | Distributed Computing | Guerraoui, Rachid | ATCS, AIML, DC, PLFM | algorithms, security and privacy, operating systems and networks, artificial intelligence |
IC | DCSL | Data Center Systems | Bugnion, Edouard | OSNET | datacenter efficiency, microsecond-scale computing, trust in the cloud, computer systems, datacenter operating systems and networking, virtualization |
IC | DEDIS | Decentralized and Distributed Systems | Ford, Bryan | DC, PLFM, SP | decentralized systems, digital personhood, e-voting and digital democracy, blockchains and cryptocurrencies |
CDH/IC (courtesy) | DHLAB | Digital Humanities | Kaplan, Frédéric; Ehrmann, Maud | AIML, VC | procedural systems, morphological recognition, 4D models, cultural acceptance of technology |
IC | DIAS | Data-Intensive Applications and Systems | Ailamaki, Anastasia | CAIS, DMIR | serverless data analytics and real-time query processing, database system design on modern hardware platforms and storage systems, elastic computational infrastructures for data-intensive scientific applications |
SB/IC (courtesy) | DISOPT | Discrete Optimization | Eisenbrand, Friedrich | ATCS | combinatorial optimization, computational geometry, complexity, approximation algorithms |
IC | DLAB | Data Science | West, Robert | AIML, DMIR, HCI, NLP | neuro-symbolic NLP, online behavior, digital trace analysis, social network analysis, Wikipedia, Web and social media analysis |
IC | DSLAB | Dependable Systems | Candea, George | OSNET, PLFM, SP | reliability and security in large-scale systems, predictable system performance, scalability |
IC | GCM | Geometric Computing | Pauly, Mark | AIML, HCI, VC | geometric computing, digital fabrication, computational design, architectural geometry |
IC | HCI | Human-Computer Interaction | Pu, Pearl | AIML, DMIR, HCI, NLP | recommender systems, neural generation of empathetic dialogs, trust and explanation interfaces, fairness in two-sided recommender systems |
IC | HEXHIVE | HexHive | Payer, Mathias | PLFM, SP | system security, software security, mitigations, sanitization, automated testing, compartmentalization |
IC | IIG | Immersive Interactions | Boulic, Ronan | AIML, HCI, VC | virtual reality, immersive and embodied interaction, computer animation, virtual humans, motion capture and retargeting, cybersickness |
IC | INDY1 | Information and Network Dynamics 1 | Grossglauser, Matthias | AIML, DMIR, ICT | network science, discrete choice theory and applications, recommender systems, data mining |
IC | INDY2 | Information and Network Dynamics 2 | Thiran, Patrick | ATCS, AIML, ICT | network science, stochastic models, data analytics, machine learning |
IC | IVRL | Images and Visual Representation | Süsstrunk, Sabine | AIML, HCI, SIP, VC | computational photography, computational imaging, inverse problems in imaging, color image processing and computer vision, computational image quality and aesthetics |
IC | LAMP1 | Programming Methods 1 | Odersky, Martin | CAIS, PLFM | system security, software security, mitigations, sanitization, automated testing, compartmentalization |
IC | LAP | Processor Architecture | Ienne, Paolo | CAIS | computer and processor architecture, FPGAs and reconfigurable computing, electronic design automation, computer arithmetic |
IC | LAP | Processor Architecture | Kluter, Ties | CAIS | C-based RTL designing, system level designing, FPGA designing, reconfigurable computing, micro controller, micro processor architectures |
IC | LARA | Automated Reasoning and Analysis | Kuncak, Viktor | PLFM | program verification and synthesis, automated theorem proving |
IC | LASEC | Security and Cryptography | Vaudenay, Serge | ATCS, ICT, SP | cryptography, cryptographic constructions, security models, cryptanalysis, biometry, privacy vs transparency, fairness |
IC | LCAV | Audiovisual Communications | Prandoni, Paolo | ICT, SIP | audio and video processing, algorithmic development, communication systems design |
IC/SV (joint) | LCN | Computational Neuroscience | Gerstner, Wulfram; Brea, Johanni | AIML | computational neuroscience, theoretical neuroscience, learning in biology and its relation to the machine learning, Hebbian learning, two-factor rules, three-factor rules, reinforcement learning, unsupervised representation learning, analysis of large-scale recurrent networks, dynamics in neural networks, spiking neurons |
IC/ENAC (joint) | LDM | Media and Design | Huang, Jeffrey | HCI | urban digital twins, smart environments, VR/AR, artificial design, experience design, design theory |
IC | LIA | Artificial Intelligence | Faltings, Boi | AIML, NLP | multi-agent systems, distributed AI, privacy-preserving AI, computational game theory |
IC | LIA | Artificial Intelligence | Rajman, Martin | AIML, NLP | artificial intelligence, computational linguistics and data-driven probabilistic machine learning |
IC | LINX | Information in Networked Systems | Gastpar, Michael | ICT, SIP | information theory, signal processing, machine learning, statistics, theoretical and statistical neuroscience |
IC/STI (joint) | LSI | Integrated Systems | De Micheli, Giovanni | CAIS | design algorithms and tools for integrated circuits and systems, digital design with emerging technologies, electronic devices and sensors |
IC | LSIR | Distributed Information Systems | Aberer, Karl | AIML, DMIR, NLP | semantic interoperability, information retrieval, social networks, trust management |
IC | LTHC | Communication Theory | Urbanke, Rüdiger | ICT | coding theory, information theory, theory of ML, quantum communication and quantum computation |
IC | LTHI | Information Theory | Lévêque, Olivier | ICT | primarily teaching (introduction to computer science to non-CS students, from secondary school to first year at EPFL); teachers’ education |
IC | LTHI | Information Theory | Telatar, Emre | ICT | reliable communication, efficient communication, information theoretic privacy, age of information |
STI/IC (courtesy) | LTS4 | Signal Processing 4 | Frossard, Pascal | AIML, NLP, SIP, VC | graph signal processing, network machine learning, machine learning and data science, imaging, AI for Health, AI for Science, generative AI |
IC/SB (joint) | MDS2 | Mathematical Data Science | Abbé, Emmanuel | ATCS, AIML, ICT | foundations of artificial intelligence, reasoning in machine learning, information compression, random structures and algorithms |
IC | MIL | Mathematics of Information | Shkel, Yanina | ATCS, ICT | theoretical aspects of data science, statistics, privacy, cryptography, {information, learning, coding}-theory |
IC | ML4ED | Machine Learning for Education | Käser, Tanja | AIML, DE, HCI | generalizability, fairness, explainability, modeling of higher-order skills |
IC/SV (joint) | MLBIO | Machine Learning for Biomedical Discovery | Brbic, Maria | AIML | computational biology, unsupervised and semi-supervised learning, transfer learning, meta-learning, graph representation learning, explainable AI, single-cell genomics |
IC | MLO | Machine Learning and Optimization | Jaggi, Martin | ATCS, AIML, DC, NLP | distributed training, collaborative learning, efficiency, robustness and privacy when training ML and deep learning models |
IC/STI (joint) | MOBOTS | Mobile Robotic Systems | Mondada, Francesco | DE, HCI | interdisciplinary research, pedagogy, educational robotics, biological modeling using robotics, education to CS, social impact of digitalisation |
IC | NAL | Network Architecture | Argyraki, Katerina | OSNET | network transparency and neutrality, network inference, network function verification, performance verification |
IC | NLP | Natural Language Processing | Bosselut, Antoine | AIML, DMIR, HCI, NLP | natural language understanding, commonsense knowledge representation and reasoning, neuro-symbolic AI, natural language generation |
IC | PARSA | Parrallel Systems Architecture | Falsafi, Babak | CAIS, DC, PLFM | post-Moore servers, sustainability in datacenters, machine learning systems, cloud computing |
IC | PARSA | Parrallel Systems Architecture | Stojilovic, Mirjana | CAIS, SP | field-programmable technology, electronic design automation (EDA), electrical-level attacks and countermeasures for reconfigurable hardware |
IC | RGL | Realistic Graphics | Jakob, Wenzel | PLFM, SIP, VC | inverse graphics, appearance modeling, graphics systems and compilers, physically based rendering |
IC | RS3LAB | Robust Scalable Systems Software | Kashyap, Sanidhya | CAIS, OSNET | parallelism, concurrency, storage, verification, and software security |
IC | SaCS | Scalable Computing Systems | Kermarrec, Anne-Marie | AIML, DMIR, DC | system support for federated and decentralized learning, gossip-based distributed computing, peer to peer computing, scalable design, failure resilience, performance and privacy-preservation |
IC/SB (joint) | Salathe Lab | Digital Epidemiology | Salathé, Marcel | AIML, DMIR | digital health, epidemiology, digital cohorts |
IC | SENS | Sensing and Networking Systems | Al-Hassanieh, Haitham | ICT, OSNET, VC | G and 6G cellular networks, millimeter wave, internet of things, wireless sensing, autonomous driving, biomolecular communication, spare Fourier Transform |
IC | SMILS | Statistical Mechanics of Inference in Large Systems | Macris, Nicolas | ICT | statistical physics, high-dimensional inference, learning theory, coding theory, quantum information |
IC/SB (joint) | SPOC2 | Statistical Physics of Computation | Zdeborová, Lenka | ATCS, AIML, ICT, SIP | applications of methods of statistical physics, such as advanced mean field methods, replica method and message passing algorithms, to problems in machine learning, signal processing, inference and optimization |
IC | SPRING | Security and Privacy Engineering | Gonzalez Troncoso, Carmela | DMIR, DC, SP | privacy engineering, societal impact of machine learning, decentralization |
IC | SYSTEMF | Systems and Formalisms | Pit-Claudel, Clément | PLFM, SP | programming languages, compilers, formal verification, systems engineering, hardware design languages, security, performance engineering, databases, and type theory |
IC | THL2 | Theory of Computation 2 | Svensson, Ola | ATCS | algorithms, clustering, combinatorial optimization, com-plexity theory, data-driven decision processes, graph theory |
IC | THL4 | Theory of Computation 4 | Kapralov, Michael | ATCS | theoretical foundations of big data analysis (sublinear algorithms) |
IC | THL5 | Theory of Computation 5 | Göös, Mika | ATCS | lower bounds for concrete models of computation: circuits, communication protocols, decision trees, propositional proofs |
IC | TML | Theory of Machine Learning | Flammarion, Nicolas | ATCS, AIML | theory of deep learning, optimization, robust machine learning, meta-learning, self-supervised machine learning |
IC/SV (joint) | UPSCHRIMPF2 | NeuroAI | Schrimpf, Martin | AIML, NLP, VC | neuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups |
IC | UPVIDICK | Quantum Complexity and Cryptography | Vidick, Thomas | ATCS | quantum complexity, cryptography, quantum interactive proof systems, quantum mechanics, theoretical computer science |
IC | VCA | Verification and Computer Architecture | Bourgeat, Thomas | CAIS, PLFM, SP | processor design, programming languages, computer architecture and formal hardware verification |
IC | VILAB | Visual Intelligence and Learning | Zamir, Amir | AIML, SIP, VC | embodied vision, vision-for-robotics, multi-task learning, self/unsupervised learning, visual robustness and adaptation |
IC | SIN-GE | Computer Science Section | Chappelier, Jean-Cédric | natural language processing, information theory, programming | |
IC | SIN-GE | Computer Science Section | Doeraene, Sébastien | language design, compilers, virtual machines, pedagogy in computer science | |
IC | SIN-GE | Computer Science Section | Pereira Pires, Rafael | distributed systems, privacy & security, embedded systems, robotics | |
IC | SIN-GE | Computer Science Section | Regev, Gil | requirements engineering, business modeling, enterprise architecture, knowledge management, creativity in organizations, systems thinking | |
IC | SIN-GE | Computer Science Section | Sam, Jamila | ||
IC | SIN-GE | Computer Science Section | Schinz, Michel |
School | URL | Lab | Supervisor | Research Interests |
---|---|---|---|---|
CDH | DCML | Digital and Cognitive Musicology | Rohrmeier, Martin | digital musicology, music cognition, music theory, implicit learning, music & language |
CDH | LHST | History of Science and Technology | Baudry, Jérôme | developing and experimenting with new tools and methods – especially digital and computational – for historical research |
CDM | BAN | Business Analytics | Kiyavash, Negar | causality, statistics, machine learning, data science |
ENAC | DISAL | Distributed Intelligent Systems and Algorithms | Martinoli, Alcherio | autonomous robotics, distributed robotics, swarm robotics, distributed intelligent systems, sensor and actuator networks; intelligent vehicles, swarm intelligence, distributed control and estimation, mechatronic design, localization and navigation |
ENAC | ECEO | Environmental Computational Science and Earth Observation | Tuia, Devis | Earth observation: satellite remote sensing / drones image processing. Environmental science: nature conservation / land use change / climate. Computer vision, machine learning: segmentation / detection / hybrid models / interpretable AI / human machine interaction |
ENAC | ESO | Environmental Sensing Observatory | Skaloud, Jan | satellite positioning, inertial and integrated navigation, sensor orientation and calibration, attitude determination Mobile mapping, airborne laser scanning, sdjustment methods, kalman filtering |
ENAC | IMOS | Intelligent Maintenance and Operations Systems | Fink, Olga | domain adaptation and generalization, physics-informed machine learning, (physics-informed) graph neural networks, AI for engineering, self-supervised learning |
ENAC | TRANSP-OR | Transportation and Mobility Laboratory | Bierlaire, Michel | transport and mobility, discrete choice, optimization |
ENAC | VITA | Visual lntelligence for Transportation | Alahi, Alexandre | transportation & mobility, socially-aware artificial intelligence, computer vision, machine learning, deep learning, human-robot interaction, ambient intelligence |
SB | CSFT | Statistical Field Theory | Hongler, Clément | neural networks, learning theory, probability, mathematical physics, statistical mechanics |
SB | DOLA | Dynamics of Learning Algorithms | Chizat, Lénaïc | continuous optimization, deep learning theory, optimal transport |
SB | LIAC | Artificial Chemical Intelligence | Schwaller, Philippe | chemistry, large language models, accelerated science/discovery |
STI | BIOROB | Biorobotics | Ijspeert, Auke | locomotion, robotics, computational neuroscience, machine learning, nonlinear dynamical systems |
STI | ESL | Embedded Systems | Atienza, David | embedded systems, thermal management, HW/SW codesign, edge AI, Internet of Things, low-power hardware and software co-design |
STI | INL | Integrated Neurotechnologies | Shoaran, Mahsa | neural interfaces, low-power integrated circuits, edge AI, neurotechnology, neural signal processing and machine learning, brain-machine interfaces |
STI | LBEN | Nanoscale Biology | Radenovic, Aleksandra | bioengineering, single-molecule, biophysics, nanofluidics, single molecule biophysics |
STI | LIB | Biomedical Imaging | Unser, Michaël | image processing, medical imaging, biological imaging, wavelets, splines, multiresolution |
STI | LIDIAP | L’IDIAP Laboratory | Cavallaro, Andrea | machine learning, artificial intelligence, computer vision, audio processing, robot perception, privacy |
STI | LIDIAP | L’IDIAP Laboratory | Gatica-Perez, Daniel | social computing, ubiquitous computing, social media, crowdsourcing, multimedia |
STI | LIDIAP | L’IDIAP Laboratory | Odobez, Jean-Marc | human activity, multi-modal data, detection, tracking, pose, non-verbal behaviors, temporal interpretation, algorithms, computer vision, machine learning, deep learning |
STI | LIONS | Information and Inference Systems | Cevher, Volkan | machine learning, optimization, learning theory, reinforcement learning, foundation models, inference systems |
STI | LIS | Intelligent Systems | Floreano, Dario | aerial robots, evolutionary robots, soft robots, wearable robots, bio-inspired robots, bio-inspired artificial intelligence |
STI | LMAM | Movement Analysis and Measurement | Aminian, Kamiar | monitoring and analyzing human motion in real-world conditions, development of wearable systems and algorithms based on body-worn sensors |
STI | LPDI | Protein Design and Immunoengineering | Correia, Bruno | protein engineering, computational design, immunoengineering, synthetic biology |
STI | LTS2 | Signal Processing 2 | Vandergheynst, Pierre | data science, machine learning, computational harmonic analysis, inverse problems, compressive sensing, computer vision |
STI | LTS5 | Signal Processing 5 | Thiran, Jean-Philippe | image analysis, computer vision, multimodal signal/image processing, pattern recognition, medical imaging |
STI | MIPLAB | Medical Image Processing | Van De Ville, Dimitri | image processing, neurosciences, medical imaging, brain function, graph signal processing |
STI | MMSPG | Multimedia Signal Processing | Ebrahimi, Touradj | still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface) |
STI | REACT | Interaction Systems | Gillet, Denis | web-based interaction systems, human-computer interaction, human-device interaction, cyber physical systems, explainable AI |
STI | SYCAMORE | Systems Control and Multiagent Optimization | Kamgarpour, Maryam | stochastic optimization and control, multi-agent learning, reinforcement learning, online learning, mixed integer optimization |
STI | TCL | Telecommunications Circuits | Burg, Andreas | VLSI design, wireless communication, signal processing systems, embedded systems |
SV | UPLAMANNO | Brain Development and Biological Data Science | La Manno, Gioele | developmental biology, bioinformatics, neuroscience, statistical modeling, technology development |
SV | UPAMATHIS | Computational Neuroscience & AI | Mathis, Alexander | computational/theoretical neuroscience, models of biological systems, learning, computer vision, machine learning, artificial intelligence, behavior |
SV | UPBARTH | Protein and Cell Engineering | Barth, Patrick | protein structure, protein design, protein folding, computational biophysics, membrane proteins |
SV | UPMWMATHIS | Adaptive Motor Control | Mathis, Mackenzie | representation learning, computer vision, computational neuroscience, pose estimation, animal behavior, machine learning, neural data analysis |
SV | UPNAE | Computational and Systems Biology | Naef, Felix | systems biology, circadian rhythms, quantitative biology, transcription, gene regulation |
SV | RAMDYA LAB | Neuroengineering | Ramdya, Pavan | neuroscience, behavior, robotics, evolution |
School | URL | Center | Supervisor | Research Interests |
---|---|---|---|---|
IC | SCALA | Scala Center | Odersky, Martin | scala developers, productivity, tooling, compiler engineering, platform maintenance, community support |
ENT-R | CEDE | Center for Digital Education | Jermann, Patrick | interaction analysis, research methods, statistical methods, prototyping, software development, pedagogical design |
ENT-R | CIBM-AIT | Animal Imaging and Technology | Van De Ville, Dimitri | biomedical imaging for the advancement of science, health, medicine and technology |
ENT-R | SDSC-GE | Swiss Data Science Center | Bouillet, Eric | big data systems, data stream processing applications, optical network design, capacity planning, optimization research |
ENT-R | SDSC-GE | Swiss Data Science Center | Obozinski, Guillaume | statistics, machine learning, sparse modeling, optimization, large-scale learning, graphical models, relational learning, semantic embeddings, computational biology, computer vision |
ENT-R | SDSC-GE | Swiss Data Science Center | Verscheure, Olivier | large-scale data science, multimodal data fusion and integration, frugal machine learning, explainable AI and interpretability |