KIBANGOU
Alain
Associate Professor HDR
Projects

    On-going projects


    AgileWorld

    Partner:: Univ. Grenoble Alpes, Technical University of Crete, University of Cyprus, EPFL, Université du Luxembourg, Karrus S.A, Phoebe Innovations,

    AgileWorld is an European project coordination innitiative funded through the ANR programme MRSEI (2018-20020). It aims at creating a network of academic and industrial partners to apply for EU calls on traffic networks and smart mobility.

    PERSYVAL-LAB

    Partner:: GIPSA-LAB, G-SCOOP, INSTITUT FOURIER, CEA-LETI, TIMC, LIG, LJK, INRIA, VERIMAG, TIMA
    Official website: Persyval

    PERSYVAL-lab’s ambition is to control the design and monitoring of new computer systems combining "smart" devices interconnected and interactive virtual objects to serve mankind
    Given this major challenge, PERSYVAL-lab federates 800 researchers and academics from 10 laboratories in Grenoble falling within four areas: Computing, signal processing, automatic and mathematics.
    Based on  high-level research laboratories present at Grenoble in Mathematics, Computer Science, Automatic Control, Signal Processing, and Hardware Architecture, Persyval-lab promotes a holistic approach for developing an ambitious scientific program focused on four research actions conducted by integrated multi-disciplinary small and effective teams:
    •    The research action Pervasive Computing Systems aims at designing distributed control strategies and algorithms for  infrastructures of distributed sensors and actuators for developing methods and tools for the resource-aware design of reactive and dependable systems.
    •    The research action Advanced Data Mining aims at extracting knowledge from hybrid physical-digital data coming from dynamic sensor networks or simulation environments .
    •    The research action Authoring Augmented Reality aims at dynamically creating new forms of interaction and new virtual objects  that enable exploring possible future physical worlds .
    •    The research action Modeling and Simulating the physical world aims at  better understanding and optimizing the dynamic behavior of complex computational-physical systems.


    Past projects


    ProCyPhys

    Partners: Gipsa-Lab

    Type: IDEX UGA

    The aim of this project was to study privacy protection in cyberphysical systems using systems theory tools. The main results concern privacy by network design for consensus problems.

    SPEEDD

    Partners: Demokritos (Agia Paraskevi, Greece), IBM — Israel (Haifa, Israel), ETH (Zürich, Switzerland), Technion (Haifa, Israel), University of Birmingham (England), Feedzai (Coimbra, Portugal)

    Type: FP7 European project

    Official website: SPEEDD


    Eliminating or mitigating an anticipated problem, or capitalizing on a forecast opportunity, can substantially improve our quality of life, and prevent environmental and economic damage. At the environmental level, changing traffic-light priority and speed limits to avoid traffic congestions will reduce carbon emissions, optimize transportation and increase the productivity of commuters. At the business level, making smart decisions ahead of time can become a differentiator leading to significant competitive advantage. For example, adding credit cards to watch lists as a result of forecasting fraud will reduce the cost inflicted by fraudulent activities on payment processing companies and merchants, and consequently lower credit card rates which can attract more customers.

    We are involved in the traffic use case and in the design of forecasting methods under uncertainties for large scale traffic networks.



    COMFORT

    Partner:: PATH (UC Berkeley, USA)
    Official website: COMFORT

    The project addresses open issues for Intelligent Transportation Systems (ITS). The goal of these systems is to use information technologies (sensing, signal processing, machine learning, communications, and control) to improve traffic flow, as well as enhance the safety and comfort of drivers. These tools are doubtlessly of very high societal and economical value. It has been established over the past several decades, through field studies and many scholarly publications, that the tools of ITS can significantly improve the flow of traffic on congested freeways and streets.

    Three main objectives will be addressed in this collaboration:

    Objective 1: Model validation and robust modeling for traffic estimation, control and forecasting. We propose to establish a collaborative effort to devise an integrated methodology for accomplishing sensor fault detection, reconfiguring the topology of the estimation and prediction modules of the traffic simulation systems and finally to that will permit reliable traffic state estimation on forecasting in freeway corridors systems.

    Objective 2: New methods for traffic forecasting. The Associate team aims to:Derive, analyze, and validate robust stochastic traffic forecasting methods.Derive online estimation methods of stochastic parameters for both demand prediction and state reconstruction.

    Objective 3: New methods for distributed traffic control and estimation. The goals are to study the traffic balancing approach in a joint control scheme including ramp metering and variable speed limit, study the distributed traffic approach for urban traffic and heterogeneous networks and develop new techniques for large scale estimation and control of freeway and arterial traffic states.

    TeMP

    Partners: Grupo de Pesquisa em Processamento de Sinais e Informação, Universidade Federal do Ceará (Fortaleza, Brazil)


    TeMP (Tenso-based Information modelling and Processing) is a project funded in the framework of the French-Brazilian collaboration program (FUNCAP-INRIA) with the aim of studying, analyzing, proposing, and evaluating new models and techniques for digital communication systems using tensor and multilinear algebra tools, through in-depth theoretical analysis of mathematical models, optimization algorithms, and computational simulations.

    MOCoPo

    Partners: Institut français des sciences et technologies des transports, de l'aménagement et des réseaux (IFSTTAR), Centre d'enseignement et de recherche en environnement atmosphérique (CEREA), Laboratoire régional des ponts et chaussées d'Angers, Association pour le contrôle et la prévention de l'air dans la région grenobloise (AsCoPARG), Centre d'études sur les réseaux, les transports, l'urbanisme et les constructions publiques (CERTU), Direction interdépartementale des routes — centre est (DIR-CE)

    Official website: MOCoPo

    The MOCoPo project (Measuring and modelling traffic congestion and pollution) is funded by the French ministry in charge of transport (MEDDTL), through the PREDIT (Research and innovation in land transport program). The project began in January 2011 and will end in December 2013; various research institutes and universities, some teams of the MEDDTL and pollution measurements associations are involved in the project: LICIT (Transport and traffic engineering laboratory, joint unit of IFSTTAR and ENTPE), LTE (Transports and environment laboratory, IFSTTAR), LEPSIS (Laboratory for road operations, perception, simulators and simulations, IFSTTAR), IM (Infrastructures and mobility department, IFSTTAR), MACS (Monitoring, assessment, computational sciences, IFSTTAR), Atmo Rhône-Alpes, DIR-CE (Center-east direction of roads), LRPC Angers (Regional laboratory of Angers), CERTU (Center for cities and urban transportation), and CEREA (Center of teaching and research in atmospheric environment, laboratory École des Ponts ParisTech / EDF research and development). We were particularly involved in tasks devoted to travel time estimation and prediction.


    FeedNetBACK

    Partners: ETH Zurich (Switzerland), Universidade de Sevilla (Spain), KTH (Sweden), Universita di Padova (Italy), (France), IFREMER (France), VIDEOTEC (Italy), OMG (UK),VODERA (UK), VITAMIB (FRance), 

    Official website: FeedNetBack

    FeedNetBack was a  EU STREP project from the second call of the FP7, ICT-2007.3.7 networked embedded and control systems; the project involved 10 partners, and addressed innovative problems of control co-design in systems interconnected via wireless networks. The objective of the FeedNetBack project was to precisely generate a co-design framework, to integrate architectural constraints and performance trade-offs from control, communication, computation, complexity and energy management. This will allow the development of more efficient, robust and affordable networked control technologies that scale and adapt with changing application demands. By focusing on wirelessly connected networks, we studied networked control from a fundamental point of view; we extended the current scientific state of the art in networked control and develop a software tool set to support our co-design framework.


    ConNeCt

    Partners: IFREMer (France), PGES (Meylan, France), Prolexia (La-Seyne-sur-mer, France)

    Official website: ConNeCt


    ConNeCt was a project funded by the ANR (National Research Agency); the project dealt with the problem of controlling multi-agent systems, i.e., systems composed of several sub-systems interconnected by an heterogeneous communication network. The main challenge here was to learn how to design controllers accounting for constraints on the network topology, but also on the possibility to share computational resources during the system operation while preserving closed-loop system stability.

      Grenoble Images Parole Signal Automatique laboratoire

      UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal