Brief Presentation of Samira EL YACOUBI
Curriculum Vitae:
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.
Current position:
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)
Past positions:
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,
Teaching
activities: Mainly in Computer Science; Algorithms, Programming (C, Python, Matlab), Scientific computing, UML, numerical methods for
PDEs, implementation of Cellular Automata.
Main Research Areas:
Cellular Automata,
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.
