Digiteo - Recherche en sciences et technologies de l'information

Pr Alfred Hero is Professor of Electrical Engineering and Computer Science (EECS), and, by courtesy, Professor of Biomedical Engineering and Professor of Statistics at the University of Michigan, Ann Arbor. He is also affiliated with the UM Bioinformatics Program and the UM Graduate Program in Applied and Interdisciplinary Mathematics (AIM).

He is going to cooperate with two Digiteo teams :
- Département Signaux et Systèmes Electroniques at SUPELEC : G. Fleury
- and L2S (Laboratory of signals and systems) - Division Signals (laboratory managed by CNRS, Supélec and Université Paris-Sud 11) : P. Duhamel

Alfred Hero is going to cooperate with the two teams on a project named DANSE (Distributed active network sensing and estimation). The project team will involve 1 postdoctoral student during 1 year and 1 doctoral student during 3 years.

Sensing and prediction of physical processes in the presence of noise and uncertainty has loomed as one of the principal problems in the physical and engineering sciences for centuries going back at least as far as the work of Carl Frederick Gauss. When the measurement or sensing actions can be sequentially adapted in reaction to previous measurements we have the active sensing and estimation problem. When the measurements are dispersed in over time or space we have the distributed active sensing and estimation problem. When the physical processes are described by states that are defined over a network we have the distributed active networked sensing and estimation (DANSE) problem. Finally, when treatments or control actions can be applied that change the state of the underlying process we have a generalized DANSE problem. This is the general problem that will be address by the project team in the course of this four year Digiteo project.