| Associate Team | Research Focus | Partners | Principal Investigators | Dates |
| AC/DC | Soft robotics, mechanical modeling of deformations, robotic design | Stanford University | Christian Duriez, Inria DEFROST
& Allison Okamura, Mechanical Engineering Dept. |
2019-2022 |
| AQUARIUS | Advanced methods for uncertainty quantification in compressible flows | Stanford University | Pietro M. Congedo, Inria CARDAMOM
& Gianluca Iaccarino, Dpt of Mechanical Engineer, Stanford University |
2011-2016 |
| BIGDATANET |
A hybrid P2P/cloud for big data | UC Santa Barbara | Patrick.Valduriez, Inria ZENITH
& Divyakant Agrawal, University of California Santa Barbara |
2013-2015 |
| CAPNEONATES |
Analysis of structural MR and DTI in neonates | Univ. of Southern California
& Univ. of Pennsylvania |
Pierre Fillard & B. Thirion, Inria PARIETAL,
Caroline Brun, University of Pennsylvania & Natasha Lepore, USC and Children’s hospital of Los Angeles – University of Southern California |
2011-2013 |
| CARDIO |
Mathematical modelling and Numerical Simulation for Cardiovascular Applications | Stanford University | Irène Vignon-Clémentel, Inria REO
& Alison Marsden, Mechanical and Aerospace Engineering Dpt – Stanford |
2008-2013 |
| CLOUDSHARE |
Cloud computing over Internet volunteer resources | UC Berkeley | Derrick Kondo, Bruno Gaujal, Arnaud Legrand, Inria MESCAL
& David Anderson, Space Sciences Laboratory, U.C. Berkeley |
2009-2014 |
| CLOUDY | Secure and Private Distributed Data Storage and Publication in the Future Internet | UC Berkeley
& UC Irvine |
Claude Castellucia, Inria PRIVATICS
& Dawn Song, EECS Dpt, U.C. Berkeley and Gene Tsudik, UC Irvine |
2012-2014 |
| COALA | Communication optimal algorithms for linear algebra | UC Berkeley | Laura Grigori, Inria ALPINES
& Jim Demmel, EECS Dpt, U.C. Berkeley |
2010-2015 |
| CoHPC | Correctness and Performance of HPC Applications | LBNL | Emmanuelle Saillard, Inria STORM
& Costin Lancu, LBNL |
2019-2022 |
| COMCAUSA |
Computation of causal structures | University of California Davis | Nicolas Brodu, Inria GEOSTAT
& James Crutchfield, University of California Davis |
Since 2021
|
| COMET | Computational methods for the analysis of high-dimensional data | Stanford University | Steve Oudot, Inria GEOMETRICA
& Leo Guibas, EECS Dpt, Stanford University |
2011-2013 |
| COMFORT | COntrol and FOrecasting in Transportation networks | UC Berkeley | Carlos Canudas De Wit, Inria NECS
& Roberto Horowitz, Dpt of Mechanical Engineering, U.C. Berkeley |
2014-2016 |
| COMMUNITY | Message delivery in heterogeneous networks | UC Santa Cruz | Thierry Turletti, Inria DIANA
& Katia Obraczka, School of Engineering, U.C. Santa Cruz |
2009-2014 |
| COMPOSITE | Compositional System Integration | UC San Diego | Jean-pierre Talpin, Inria TEA
& Rajesh Gupta, Microelectronic Embedded Systems Lab, U.C. San Diego |
2017-2019 |
| CRISP | Human perception for graphics and Interaction | UC Berkeley | Adrien Bousseau, Inria GraphDeco (previously REVES)
& Maneesh Agrawala, Marty Banks, EECS Dpt and Optometry and Vision Science, U.C. Berkeley |
2011-2016 |
| DALHIS |
Data Analysis on Large Heterogeneous Infrastructures for Science | LBNL | Christine Morin, Inria MYRIADS
& Deb Agarwal, Lawrence Berkeley National Laboratory, U.C. Berkeley |
2013-2018 |
| DECibel | Discover, Express, Create – Interaction Technologies For Creative Collaboration | UC Berkeley | Wendy Mackay, Inria ExSitu
& Bjoern Hartmann, CITRIS UC Berkeley |
2016-2018 |
| DESTRIER |
DEfining Surrogacy of early Transcriptomics foR vaccInE Response | RAND Corporation | Boris Hejblum, Inria SISTM
& Denis Agniel (RAND Corporation) |
Since 2022 |
| DIVERSITY | Measuring and Exploiting Diversity in Low-Power Wireless Networks | Univ. of Southern California | Thomas Watteyne, Inria EVA
& Bhaskar Krishnamachari, Univ. of Southern California, Autonomous Networks Research Group (ANRG |
2016-2018 |
| DrIVE
|
Distributed Intelligent Vehicular Environment – Enabling ITS through programmable networks | UC Santa Cruzand
FEEC at UNICAMP (Brazil) |
Thierry Turletti, Inria DIANA& Katia Obraczka, UC Santa Cruz
& Christian Esteve Rothenberg, INTRIG Team FEEC/UNICAMP |
2018-2022 |
| ELF | Efficient deep learning frameworks | Caltech | Yulia Gusak, Inria HIEPACS
& Anima Anandkumar (Caltech) |
Since 2023
|
| FASTLA | Fast and Scalable Hierarchical Algorithms for Computational Linear Algebra | Stanford University & LBNL | Olivier Coulaud,Inria HIEPACS ,
Eric Darve, ICME, Stanford, & Esmond Ng Lawrence Berkeley National Laboratory, U.C. Berkeley |
2012-2017 |
| GeomStats | Geometric Statistics in Computational Anatomy: Non-linear Subspace Learning Beyond the Riemannian Structure | Stanford University | Xavier Pennec, Inria EPIONE (formerly ASCLEPIOS)
& Susan Holmes, Stanford University |
2015-2021 |
| GOAL | Geometry and Optimization with ALgebraic methods | UC Berkeley | Jean-charles Faugere, Inria POLSYS
& Bernd Sturmfels, U.C. Berkeley |
2015-2017 |
| HERMES | Distributed Systems & Big Data | LNBL | Shadi Ibrahim, Inria MYRIADS, Inria STACK
& Suren Byna, Scientific Data Management Group, LBNL |
2019-2022
|
| HYPERION |
Large-scale statistical learning for visual recognition | UC Berkeley | Zaïd Harchaoui, Inria LEAR,
Cordelia Schmid, Inria LEAR, Nourredine El Karoui, Statistics Dpt, U.C. Berkeley & Malik Jitendra, EECS Dpt, U.C. Berkeley |
2012-2014 |
| IT-SG-WN | Wireless networks and information theory | UC Berkeley | François Baccelli, Inria TREC
& David Tse, Vankat Anantharam, EECS Dpt and Wireless Foundations – UC Berkeley |
2011-2013 |
| ITSNAP | Geometric and knowledge-based analysis for Nucleic
Acid and Protein dynamics and Interactions |
Stanford University | Julie Bernauer, Inria AMIB
& Michael Levitt, CSB Lab, Stanford University |
2009-2014 |
| LargeBrainNets | Characterizing Large-scale Brain Networks Using Novel Computational Methods for dMRI and fMRI-based Connectivity | Stanford University | Demian Wassermann, Inria ATHENA
& Vinod Menon, Stanford Cognitive and Systems Neuroscience Laboratory |
2019-2022 |
| LEGO | LEarning GOod representations for natural language processing | Univ. of Southern California (formerly with UCLA) | Aurélien Bellet, Inria MAGNET
& Fei Sha, University of Southern California, Dpt of Computer Science (formerly with TEDS,UCLA) |
2016-2022 |
| MARE | Reduced-order models, numerical modeling | Stanford University | Angelo Iollo, Inria MEMPHIS
& Charbel Farhat, Department of Aeronautics and Astronautics, Stanford University |
2019-2022
|
| Meta&Co (formerly MetaMRI) | Machine learning for meta-analysis of functional neuroimaging data | Stanford University | Bertrand Thirion, Inria PARIETAL
& Russ Poldrack, Stanford University |
2015-2022 |
| MINES | Adaptive Communication Middleware for Resilient Sensing & Actuation IN Emergency Response Scenarios | UC Irvine | Valerie Issarny, Inria MIMOVE
& Nalini Venkatasubramanian, UC Irvine |
2018-2022 |
| Num4SEP | Numerics for Spherical Electroporation | UC Santa Barbara | Clair Poignard, Inria MONC
& Frederic Gibou, Dpt of Mechanical Eng., U.C. Santa Barbara |
2017-2019 |
| OAKSAD | Languages and techniques for efficient large-scale Web data management | UC San Diego | Ioana Manolescu, Inria OAK
& Alin Deutsch, University of California San Diego |
2013-2015 |
| ORESTE | Optimal reroute strategies for traffic management | UC Berkeley | Paola Goatin, Inria OPALE
& Alexandre Bayen, EECS Dpt, U.C. Berkeley |
2012-2017 |
| PLASMA |
Pushing the Limits of Audio Spatialization with eMerging Architectures | Stanford University | Romain Michon, Inria EMERAUDE
& Chris Chafe (Stanford University) |
Since 2022 |
| PROTEMICS |
Protégé and SHACL extension to support ontology validation | Stanford University | Fabien Gandon, Inria WIMMICS
& Rafael Gonçalves (Stanford University) |
Since 2020 |
| REALMS | Real-Time Real-World Monitoring Systems | UC Berkeley
& Univ. of Michigan |
Thomas Watteyne, Inria EVA (Initially HIPERCOM2),
Steven Glaser, U.C. Berkeley & Branko Kerkez, Uni. Michigan |
2015-2021 |
| RIPPES | Rigorous Programming of Predictable Embedded Systems | UC Berkeley | Alain Girault, Inria SPADES
& Lee Edward, UC Berkeley |
2013-2015 |
| ROHM | Reduced Order Hybrid Models | Stanford University | Angelo Iollo, Inria MEMPHIS
& Charbel Farhat (Stanford University) |
Since 2023
|
| SIRIUS | Situated interaction | Stanford University | Wendy Mackay & Michel Beaudoin-Lafon, Inria INSITU
& Scott Klemmer, Stanford HCI group |
2011-2013 |
| SNOWBALL (formerly SNOWFLAKE) | Discovering knowledge on drug response variablity by mining electronic health records (formerly Knowledge Discovery from Linked Data and Clinical Notes) | Stanford University | Adrien Coulet, Inria ORPAILLEUR
& Nigam Shah, Stanford University |
2014-2019 |
| SPLENDID | Self-Paced Learning for Exploiting Noisy, Diverse or Incomplete Data | Stanford University | Nikos Paragios, Inria GALEN
& Daphne Koller, DAGS |
2012-2014 |
| STATWEB | Fast statistical analysis of text databases via sparse learning | UC Berkeley | Francis Bach, Inria SIERRA
& Laurent El Ghaoui, EECS Dpt and IEOR – UC Berkeley |
2011-2013 |
| SWAGR | Statistical Workforce for Advanced Genomics using RNAseq | RAND Corporation | Boris Hejblum, Inria SISTM
& Denis Agniel, RAND Corporation, Statistics group |
2018-2021 |
| SWARM |
Robust Communication and Localization for Swarms of Mobile Miniaturized Wireless Motes | University of California Berkeley | Thomas Watteyne
Inria EVA & Kris Pister (UC Berkeley) |
Since 2021 |
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