Brief Presentation of Samira EL YACOUBI
Born in Safi, Morocco, on July 17, 1963, Samira El Yacoubi received her baccalauréat (série C) at Lycée Hassan II, Safi, in 1981 and her Mastre’s degree in Applied Mathematics from Mohammed V University, Rabat, in 1986. She received her PhD in Applied Mathematics from University of Perpignan in 1990.
Since 2016: Full Professor in Computer Science
1999-2016: Associate Professor in Mathematics and Computer Science Department, University of Perpignan
Since 2015: Researcher at the laboratory Espace au service du Développement, ESPACE-DEV (UMR 228)
1996-99: Post-doctoral position in Laboratoire d'Automatique, IMP-CNRS (UPR 8521) and then in Systems Theory Laboratory at the University of Perpignan.
1992-96: Assistant professor,
Main Research Areas:
Analysis and control of complex systems via sensors and actuators.
Simulation of spatially extended phenomena. Applications in environmental and life sciences.
The primary focus of my research is on control and analysis of distributed parameters systems, which consist of spatiotemporal systems studied in terms of inputs and outputs and commonly modelled by partial differential equations (PDE). My contribution in the area of systems theory via sensors and actuators concerns the optimization of the actuators structures including the action support and distribution and the number of actuators that can ensure the weak controllability of parabolic systems. These studies involve the areas of shape optimization, infinite dimensional optimization problems and integer numbers minimization techniques. Numerical implementation of these models is performed and various applications to biological, environmental or engineering systems are considered in my activity.
Due to the complexity of the considered systems motivated by real applications, my research area has been oriented to the investigation of new modelling approaches which may constitute a good alternative to the classical models described by partial differential equations. Cellular Automata models were then proposed and studied in the context of systems theory. This new approach is becoming increasingly considered as a tool for improving efficiency in both representing and implementing real spatiotemporal phenomena.
By means of cellular automata models, we have studied some analysis problems such as identification, regional controllability and spreadability. Because of the full discreetness of the considered models, the classical optimization methods cannot be used and then we have investigated more appropriate tools. Particularly, we have successfully used genetic programming to solve some identification and regional controllability problems.
Since January 2015, I joined the laboratory ESPACE-DEV whose research activities focus on the development and implementation of innovative methodologies for the spatialization of environmental knowledge for sustainable territorial development. This is done through remotely sensed data applied across a range of spatial scales at local, regional and global and used for decision-making purpose.
In this direction, cellular automata will be used for spatiotemporal modelling of environmental systems as well as for satellite image processing.