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PARIETAL Team
© Inria / Photo KaksonenJoint 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):
- New Computational & Data Analysis Approaches
- Computing & Communication for the Future Internet
- Content & Supporting Learning Technologies
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 |
2011-2016 |
| 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 |
| COALA | Communication optimal algorithms for linear algebra | UC Berkeley | Laura Grigori, Inria ALPINES
& Jim Demmel, EECS Dpt, U.C. Berkeley |
2010-2015 |
| 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 |
| 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 |
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** |
| DALHIS |
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 |
| BIGDATANET |
A hybrid P2P/cloud for big data | UC Santa Barbara | Patrick.Valduriez, Inria ZENITH
& Divyakant Agrawal, University of California Santa Barbara |
2013-2015 |
| 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 |
| COMMUNITY | Message delivery in heterogeneous networks | UC Santa Cruz | Thierry Turletti, Inria DIANA
& Katia Obraczka, School of Engineering, U.C. Santa Cruz |
2009-2014 |
| 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 |
| RIPPES | Rigorous Programming of Predictable Embedded Systems | UC Berkeley | Alain Girault, Inria SPADES
& Lee Edward, UC Berkeley |
2013-2015 |
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 |
| 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 |
| COMET | Computational methods for the analysis of high-dimensional data | Stanford University | Steve Oudot, Inria GEOMETRICA
& Leo Guibas, EECS Dpt, Stanford University |
2011-2013 |
| 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 |
| 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 |
| 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 |
| SIRIUS | Situated interaction | Stanford University | Wendy Mackay & Michel Beaudoin-Lafon, Inria INSITU
& Scott Klemmer, Stanford HCI group |
2011-2013 |
| 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 |