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PARIETAL Team
© Inria / Photo KaksonenJoint research activities in the framework of the “Associate Team Program”
.In 2019 the program counts 15 ongoing joint projects on two main scientific domains:
- Digital Sciences & Technologies for Smart & Connected Communities
- Digital Sciences & Technologies for Health
– click here to view the full list of supported joint projects since 2011 –
Joint Projects on “Digital Sciences & Technologies for Smart & Connected Communities“
- On-going projects on “Digital Sciences & Technologies for Smart & Connected Communities” in 2019:
| 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. |
Since 2019
**New project** |
| CoHPC | Correctness and Performance of HPC Applications | LBNL | Emmanuelle Saillard, Inria STORM
& Costin Lancu, LBNL |
Since 2019 **New project** |
| COMPOSITE | Compositional System Integration | UC San Diego | Jean-pierre Talpin, Inria TEA
& Rajesh Gupta, Microelectronic Embedded Systems Lab, U.C. San Diego |
Since 2017 |
| DrIVE | Distributed Intelligent Vehicular Environment – Enabling ITS through programmable networks | UC Santa Cruz
and FEEC at UNICAMP (Brazil) |
Thierry Turletti, Inria DIANA
& Katia Obraczka, UC Santa Cruz & Christian Esteve Rothenberg, INTRIG Team FEEC/UNICAMP |
Since 2018 **New project** |
| HERMES | Distributed Systems & Big Data | LNBL | Shadi Ibrahim, Inria STACK
& Suren Byna, Scientific Data Management Group, LBNL |
Since 2019
**New project** |
| 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) | Since 2016 |
| MARE | Reduced-order models, numerical modeling | Stanford University | Angelo Iollo, Inria MEMPHIS
& Charbel Farhat, Department of Aeronautics and Astronautics, Stanford University |
Since 2019
**New project** |
| MINES
|
Adaptive Communication Middleware for Resilient Sensing & Actuation IN Emergency Response Scenarios | UC Irvine | Valerie Issarny, Inria MIMOVE& Nalini Venkatasubramanian, UC Irvine | Since 2018 **New project** |
| 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 **Project renewed for 3 years** |
Joint projects on “Digital Sciences & Technologies for Health“
- On-going projects on “Digital Sciences & Technologies for Health” in 2019:
| Associate Team | Research Focus | Partners | Principal Investigators | Dates |
| Num4SEP | Numerics for Spherical Electroporation | UC Santa Barbara | Clair Poignard, Inria MONC& Frederic Gibou, Dpt of Mechanical Eng., U.C. Santa Barbara | Since 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 |
Since 2015 **Project renewed for 3 years** |
| LargeBrainNets | Characterizing Large-scale Brain Networks Using Novel Computational Methods for dMRI and fMRI-based Connectivity | Stanford University | Demian Wassermann, Inria PARIETAL (formerly Inria ATHENA)
& Vinod Menon, Stanford Cognitive and Systems Neuroscience Laboratory |
Since 2016 |
| Meta&Co (formerly MetaMRI) | Machine learning for meta-analysis of functional neuroimaging data | Stanford University | Bertrand Thirion, Inria PARIETAL
& Russ Poldrack, Stanford University |
Since 2015 **Project renewed for 3 years** |
| SNOWBALL (formerly 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 |
| SWAGR | Statistical Workforce for Advanced Genomics using RNAseq | RAND Corporation | Boris Hejblum, Inria SISTM
& Denis Agniel, RAND Corporation, Statistics group |
Since 2018 **New project** |