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Associate Teams (joint research projects)

PARIETAL Team © Inria / Photo Kaksonen

© Inria / Photo Kaksonen

Joint research activities in the framework of the “Associate Team Program”

An Associate Team has a lifespan of three to six years, with a contribution from Inria to finance exchanges of researchers and students between the partners. The research work plan and the scientific achievements of each Associate Team are regularly reviewed by the European and International Partnerships Department. Inria launches an annual call for joint research project between an Inria project-team and an American research team.

– Click here to view the 14 on-going projects in 2017 –

Since its beginning the Inria@SiliconValley program has supported a total of 33 joint research projets on (full list below): 

Joint Projects on “New Computation & Data Analysis Approaches”

  • On-going projects on “New Computation & Data Analysis Approaches” in 2017:
Associate Team Research Focus Partners Principal Investigators Dates
 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  Since 2012
GOAL Geometry and Optimization with ALgebraic methods  UC Berkeley  Jean-charles Faugere, Inria POLSYS

& Bernd Sturmfels, U.C. Berkeley

 Since 2015
Num4SEP Numerics for Spherical Electroporation   UC Santa Barbara Clair Poignard, Inria MONC

& Frederic Gibou, Dpt of Mechanical Eng., U.C. Santa Barbara

Since 2017 **New project**
ORESTE  Optimal reroute strategies for traffic management   UC Berkeley  Paola Goatin, Irnia OPALE

& Alexandre Bayen, EECS Dpt, U.C. Berkeley

Since 2012
  • Past Projects on “New Computation & Data Analysis Approaches”:
Associate Team Research Focus Partners Principal Investigators Dates
AQUARIUS  Advanced methods for uncertainty quantification in compressible flows Stanford University Pietro M. Congedo, Inria CARDAMOM

& Gianluca Iaccarino, Dpt of Mechanical Engineer, Stanford University

Mathematical modelling and Numerical Simulation for Cardiovascular Applications Stanford University Irène Vignon-Clémentel, Inria REO

& Alison Marsden, Mechanical and Aerospace Engineering Dpt – Stanford

COALA Communication optimal algorithms for linear algebra UC Berkeley Laura Grigori, Inria ALPINES

& Jim Demmel, EECS Dpt, U.C. Berkeley

 COMFORT COntrol and FOrecasting in Transportation networks UC Berkeley Carlos Canudas De Wit, Inria NECS

& Roberto Horowitz,  Dpt of Mechanical Engineering, U.C. Berkeley

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


Joint projects on “Computing & Communication for the Future Internet”

  • On-going projects on “Computing & Communication for the Future Internet” in 2017:
Associate Team Research Focus Partners Principal Investigators Dates
COMPOSITE Compositional System Integration  UC San Diego Jean-pierre Talpin, Inria  TEA

& Rajesh Gupta, Microelectronic Embedded Systems Lab, U.C. San Diego

 Since 2017 **New project**
Data Analysis on Large Heterogeneous Infrastructures for Science LBNL Christine Morin, Inria MYRIADS

& Deb Agarwal, Lawrence Berkeley National Laboratory, U.C. Berkeley

Since 2013
DECibel  Discover, Express, Create – Interaction Technologies For Creative Collaboration UC Berkeley Wendy Mackay, Inria ExSitu 

& Bjoern Hartmann, CITRIS UC Berkeley

Since 2016
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

 Since 2016
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

 Since 2015
  • Past Projects on “Computing & Communication for the Future Internet”:
Associate Team Research Focus Partners Principal Investigators Dates
A hybrid P2P/cloud for big data UC Santa Barbara Patrick.Valduriez, Inria ZENITH

& Divyakant Agrawal, University of California Santa Barbara

Cloud computing over Internet volunteer resources UC Berkeley Derrick Kondo, Bruno Gaujal, Arnaud Legrand, Inria MESCAL

& David Anderson, Space Sciences Laboratory, U.C. Berkeley

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

COMMUNITY Message delivery in heterogeneous networks  UC Santa Cruz Thierry Turletti, Inria DIANA

& Katia Obraczka, School of Engineering, U.C. Santa Cruz

IT-SG-WN Wireless networks and information theory  UC Berkeley François Baccelli, Inria TREC

David TseVankat Anantharam, EECS Dpt and Wireless Foundations – UC Berkeley

RIPPES Rigorous Programming of Predictable Embedded Systems   UC Berkeley  Alain Girault, Inria SPADES

& Lee Edward, UC Berkeley


Joint projects “Content & Supporting Learning Technologies”

  • On-going projects on “Content & Supporting Learning Technologies” in 2017:
Associate Team Research Focus Partners Principal Investigators Dates
GeomStats Geometric Statistics in Computational Anatomy: Non-linear Subspace Learning Beyond the Riemannian Structure Stanford University Xavier Pennec, Inria ASCLEPIOS

& Susan Holmes, Stanford University

Since 2015
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

Since 2016
LEGO LEarning GOod representations for natural language processing UCLA Aurélien Bellet, Inria MAGNET

& Fei Sha, University of Southern California, Dpt of Computer Science (formerly with TEDS,UCLA)

Since 2016
MetaMRI  Machine learning for meta-analysis of functional neuroimaging data  Stanford University Bertrand Thirion, Inria PARIETAL 

& Russ Poldrack, Stanford University

 Since 2015
SNOWBALL (formally SNOWFLAKE)  Discovering knowledge on drug response variablity by mining electronic health records (formally Knowledge Discovery from Linked Data and Clinical Notes)  Stanford University Adrien Coulet, Inria ORPAILLEUR

& Nigam Shah, Stanford University

Since 2014 **Project renewed for 3 years**
  • Past Projects “Content & Supporting Learning Technologies”:
Associate Team Research Focus Partners Principal Investigators Dates
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

COMET Computational methods for the analysis of high-dimensional data  Stanford University Steve Oudot, Inria GEOMETRICA

& Leo Guibas, EECS Dpt, Stanford University

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
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

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

SIRIUS  Situated interaction  Stanford University Wendy Mackay & Michel Beaudoin-Lafon, Inria INSITU

& Scott Klemmer, Stanford HCI group

SPLENDID  Self-Paced Learning for Exploiting Noisy, Diverse or Incomplete Data  Stanford University Nikos Paragios, Inria GALEN

& Daphne Koller, DAGS

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