Section: Partnerships and Cooperations

International Initiatives

Inria International Labs

Valérie Issarny acts as scientific manager of the Inria@Silicon Valley program (https://project.inria.fr/inria-siliconvalley/ ) since summer 2013; she is visiting scholar at CITRIS, EECS, University of California, Berkeley.

Sara Hachem conducts her postdoc research in the context of the Inria@Silicon Valley program at UC Berkeley.

Inria Associate Teams


Participant : Animesh Pathak [correspondent] .

  • Name: SARATHI – Personalized Mobility Services for Urban Travelers

  • Instrument: Inria DRI/DST-CEFIPRA Associate Team

  • Period: [January 2014 - December 2016]

  • Partners: Indraprastha Institute of Information Technology (IIIT), Delhi (India), Inria MiMove.

  • Website: https://mimove.inria.fr/inria-associate-team-sarathi/

The focus of the Sarathi project is on creating a personalized mobility service platform for urban travelers. The proposed work would require work on large scale mobile participatory sensing, urban transportation, location-aware services, machine learning, and software engineering. The individual strength of MiMove and IIIT provide complementary technical benefits for the project. MiMove leverages its work on large scale mobile participatory sensing (so far focused on EU-based transit contexts) addressing challenges brought to the fore by dynamic large scale systems in India; IIIT will build up on their previous work on mobile based system to provide route information and work on learning and mining techniques for inferring events of interest in transport systems.

Besides the complementary technical benefits, the collaboration will also help the project in evaluating the proposed solution in context of both developing and developed countries with different societal structure and preferences. Since personalized services are an integral part of the solution, the variety in social structures of India and France will help in developing solutions that are valid across continents. A deployment of the proposed solution in India will also test scalability and robustness of the solution in resource-constrained environments (e.g. intermittent network connectivity, low bandwidth) and will help in developing solutions that can be deployed in different working environments. Similarly, France (with already an advanced transit system) offers opportunities in verifying the requirements of a successful sustainable transport system.

Participation in other International Programs

International scientific cooperation program Inria/Brazil – Project M@TURE

Participant : Nikolaos Georgantas [correspondent] .

  • Name: M@TURE – Models @ runtime for self-adaptive pervasive systems

  • Instrument: Inria-Brazil cooperation programme

  • Period: [October 2012 - September 2014]

  • Partners: Institute of Informatics of Federal University of Goias (Brazil), Inria MiMove.

The overall goal of the M@TURE project is to design, implement and evaluate a novel approach and architecture - comprising conceptual foundations, engineering techniques, and supporting middleware infrastructure - for self-adaptive pervasive systems by building on the notion of Models@run.time. Models@run.time extends the applicability of models and abstractions to the runtime environment. In contrast to design-time models, runtime models are used to reason about the running system taking into account its operating environment, and thus these models enable automating runtime decisions and actions regarding the creation, configuration, and evolution of the system. We in particular focus on the following dimensions and related models: (i) Requirements models making a system requirements-aware at runtime; (ii) Application- and middleware-level interoperability models exposing to an external observer the technological and business features of a system; and (iii) End-user and system engineer models modeling the internal elements of a system at two different abstraction levels. These models are considered both independently and, more importantly, in synergy in order to introduce a comprehensive conceptual and architectural solution for self-adaptive pervasive systems.