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    Emmanuel Duflos

        Ecole Centrale de Lille
        Cité Scientifique
        BP 48
        59651 Villeneuve d'Ascq Cedex, France

        emmanuel(dot)duflos(at)ec-lille(dot)fr



From 1987 to 1991, I was in Lille (France) as undergraduate in the Institut Supérieur d'Electronique du Nord an engineer school in the north of France. Then I went for one year in Paris in the University of PARIS XI (Orsay) to prepare a Diplôme d'Etude Approdondie (DEA) in Automatic Control and Signal Processing. From 1992 to 1995 I had PhD position at the University of Toulon where I defended, in September 1995, my Ph.D. thesis in Signal Processing. From September 1995 to August 2003 I had had a position of teacher at the Institut Supérieur d'Electronique du Nord where I was, from september 1999 to august 2003 the Head of the Signal, System and Communication Departement. In September 1999 I also joined the laboratory LAIL (Laboratoire d'Automatique et d'Informatique Industrielle de Lille) as a researcher. The LAIL have become the LAGIS (Laboratoire d'Automatique, Génie Informatique et Signal) since january 2006. On December 16th, 2002, I obtained the "Habilitation a Diriger des Recherches (HDR)", from the "Université des Sciences et Technologies de Lille" (manuscript now downloadable on Publications page). In september 2003, I obtained a position of Professor at the Ecole Centrale de Lille where I am also the IT Manager and a member of the board of Directors. In April 2006, I've participated to the creation of the INRIA project team SequeL devoted Sequential Learning. SequeL hosted by the INRIA Lille Nord Europe.

Research 

My fields of research are Signal Processing and Data Fusion : Applications :
Conference/Workshop Organization :

Distinction :

Publications

PhD positions (0)  


Post-doctoral positions (1) 


Optimal Sensor Management - Review and New Prospects

Context : A significative part of the SequeL research activity concerns the so-called "Sensor Management Problem". In an increasing number of applications the number of the sensors and the amount of information they provide lead to a complexity that is untractable by human operators when we need to answer the question : how manage all these sensors so as to optimize the quality and the quantity of the information needed to achieve the goal the system(s) which embends the sensors. Today sensors aren't anymore limited to the "measurement provider" role as they used to be several years ago. Intelligent sensors are a able to determine when, where and during how many time they must "look for" specific information.

Description of the work : Sensor Management is often associated with the tasking of sensors like radars and infrared cameras to detect, track and identify targets in a complex environment. The main questions arising being how long should each sensor observe the space, in which direction should it observe, how do the sensors collaborate, which amount of information must they transmit to the others, which strategy of communication must they use ... The underlying question is therefore the choice of an action (see as a set of specific actions) for each sensor. The answer isn't straight forward because it mainly depends on the goals of the systems which embends the sensors and on the limited capabilities of each of its component; all of these components being in interaction. Partially Obserbable Markov Decision Processes (POMDP) are well adapted to model such a problem and it has been used for many years. Unfortunately, the optimal solution, although existing, is untractable in practice and sub-optimal solutions must be found. The aims of this post-doctorate position consists in reveiwing the existing modellings of Sensor Management Problem, in order to propose new prospects to work on in terms of methodology but also in terms of potential original application.

Keywords: Sensor Management, Partially Observable Markov Decision Process, Radar, Infrared sensors, Telecommunication

Deadline for application : not known at the moment

Education

I have (or I've had!) classes in the following fields : Computer Sciences, Signal Processing, Automatic Control and Statistics. See my education page for more details.

Links

        Conferences : CESA 2009 - COGIS 2009

        Groups: INRIA SequeL Team Project - GDR ISIS

        People: Francois Caron - Manuel Davy - Philippe Preux - Remi Munos - Philippe Vanheeghe


Last update: January 26th, 2009

visitors since October 26, 2006