Skip to content

Financed Projects

This page lists the scientific projects I have been mainly involved in, either as a project leader or as a main partner.

Present projects:

Influence Mechanisms and Topology Dynamics in Social Networks

In social networks, users choose to connect (“follow”) an influencer if the messages he sends seem relevant to them. For each “follower”, the quality of information is based on the distance between the message and a pre-established belief, making it specific to each individual and evolving over time. Thus, a social influencer, to increase his connectivity degree in the interaction graph, can behave strategically by choosing the messages he sends, based on his own anticipation of the beliefs of other users. Conversely, an influencer with a high connectivity degree has an impact on the overall belief present on the network. In this project, based on the framework of game theory in networks, we study the optimal strategy of the influencer in terms of sending messages (nature, frequency). We also address the question that arises for the network administrator or public authority: how to measure the relative weight of influencers in the evolution of the overall belief, and how to protect followers from the creation of information bubbles, that is to say how can one influence the influencers so as to maintain plurality of opinions in the network?

ANR project MediaGame (Jul. 2022 - Jul. 2025) (project leader)

Scientific popularization of research results through games

This project is a science popularization action of previous Inria research ANR projects, laureates of the ANR AAPG 2020 edition and led by Inria research centers located in Grenoble, Lille, Nancy, Paris, Rennes and Saclay.

The goal of MediaGame is to highlight research results to the public, to make people understand the scientific process in digital sciences, the applications of current research and unexpected results by experimenting them through games. To do so, the project relies on partnerships with the associations Games for Citizens and France IOI and may call upon service providers specializing in gamification. We will focus our work on the development of an "Escape Cards" type of game with puzzles resulting from the research projects concerned.

Production and Promotion of TV programs focusing in digital sciences

This project is a science popularization action of previous Inria research ANR projects, laureates of the ANR AAPG 2018 and 2019 edition and led by Inria research centers located in Grenoble, Lille, Nancy, Paris, Rennes, Saclay and Sophia-Antipolis.

MediaNum aims at promoting recent scientific foundings, showing to the general audience how research is built and conducted, promoting open science and carriers in research, in the field of digital sciences (computer engineering, computer science, electrical engineering, applied mathematics, information sciences). To achieve this goal, the project relies on partnerships with major nonprofit organizations : a free TV channel (in French)(Esprit Sorcier TV) and the main exhibition halls specialized in digital sciences in France. We focus our work on video and mutimedia contents** to be displayed in these exhibition areas all over France. Moreover, with MediaNum, we will specially dedicate some meeting events dedicated to the promotion of science towards female audience.

Past projects:

DST-INRIA-CNRS (IFCPAR/CEFIPRA) project BiDee (Jan. 2015 - Jan. 2017) (partner)

A big data perspective for energy management in smart grids and dwellings (project leader: Stéphane Ploix)

The project aims at strengthening collaborations between France and India around the convergence between computer science and energy. Two interdependent axes will be followed: building scale and grid scale. The BiDEE project scientific program is given by:
1st year: Data collection, preprocessing and building of initial models using big data analyt- ics with special emphasis on feature selection, feature extraction and prediction. Game- theoretic and optimization approaches will also be required for this purpose.
2nd year: Refining of the models, with particular attention paid to scalability of the game- theoretic and multi-objective optimization algorithms for applicability to the available big data generated in INP Grenoble. Simultaneously, game theoretic approaches will be developed for modeling energy management in smart-grids.
3rd year: Extensive experimentation will be conducted. Technical manuscripts reporting the results will be prepared. Writing of the final report, as well as identifying open areas for future work, will also consume a part of this year.

Distributed learning algorithms orchestration for mobile networks resource management (project leader: Marceau Coupechoux)

The main objective of the project is to propose a novel approach of distributed, scalable, dynamic and energy efficient algorithms for managing resources in a mobile network. This new approach relies on the design of an orchestration mechanism of a portfolio of algorithms. The ultimate goal of the proposed mechanism is to enhance the user experience, while at the same time to better utilize the operator resources. More specifically we address in this project the following technical bottlenecks:

  1. Excessive interference is a crucial aspect of todays (LTE) and future (LTE-A) radio access networks (RAN) that prevents mobile users to have a homogeneous quality of service whatever their location and along their movements. This excessive interference is due to the chosen frequency reuse 1 and to the heterogeneity of the network (composed of macro, small, femto cells, and relays). Adopting Inter-Cell Interference Coordination (ICIC) and Coordinated MultiPoint (CoMP) techniques can help reducing interference but radio resource management schemes are required to coordinate these techniques.

  2. Access delay to popular contents may be excessive for users in mobility. Content Delivery Networks (CDN) are in charge of placing contents in surrogate servers and controlling the content distribution. In a mobile environment, classical prefetching techniques may become obsolete because of the user mobility, the variations of its radio channels and of the traffic demand.

POPulations, gamE theorY and Evolution (project leaders: Eitan Altman and Philippe Nain)

The ARC Popeye focuses on the behavior of large complex systems that involve interactions among one or more populations. By population we mean a large set of individuals, that may be modeled as individual agents, but that we will often model as consisting of a continuum of non-atomic agents. The project brings together researchers from different disciplines: computer science and network engineering, applied mathematics, economics and biology. This interdisciplinary collaborative research aims at developing new theoretical tools as well as at their applications to dynamic and spatial aspects of populations that arise in various disciplines, with a particular focus on biology and networking

Design and Optimization of Collaborative Computing Architecture (project leader: Florence Perronnin)

The DOCCA project aims at developing a peer-to-peer collaborative computing protocol with a strong emphasis on theoretical aspects of fairness issues and collaboration incentives. Our target system is a fully decentralized architecture, where desktops are both volunteers and clients (they can submit jobs). Our objectives are:

  1. Leverage the pluridisciplinarity of the team to combine theoretical tools and metrics from the parallel computing community and from the network community, and to explore algorithmic and analytical solutions to the specific resource management problems of such systems.
  2. Design a P2P architecture based on the algorithms designed in the second step and to create a novel P2P collaborative computing system.

More information here.