Return to Associate Teams (joint research projects)

Archive: Complete list of supported associate teams

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.
Stanford University

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 TseVankat 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