About RELA(CS)2

RELA(CS)2 is a computer science research laboratory accredited by Ministerial Decision No. 729 of September 29, 2013. It focuses on the study of complex systems.

It brings together a total of fifty-nine (59) researchers, including thirty-three (33) permanent teaching researchers and forty-six (46) PhD students, divided into four (4) multidisciplinary teams with shared missions:

  • Training young researchers,
  • Contributing to research in various fields of interest to the laboratory,
  • and promoting work through collaborations with industrial enterprises, administrations, and socio-economic sector organizations.
Objective

The main objective of the research teams is the development of methods and tools for a better understanding, control, and mastery of complex dynamic systems.

We are interested in methods and tools for specification, modeling, optimization, verification, validation, visualization, animation, and simulation of complex systems. 

Missions

The missions of our laboratory are primarily based on three aspects:

  1. The first aspect concerns fundamental research and training for and through research. The objective is to create a dynamic that enables teachers and student researchers to reach an international level in the various thematic areas developed within the laboratory. This is achieved through the publication of scientific papers in international journals and the participation and organization of international or national scientific events.
  2. The second aspect focuses on the implementation and validation of the different methodologies and tools developed within the laboratory.
  3. The third aspect involves the involvement of our laboratory in the activities of the industrial sector within public or private national companies. The aim is to support these companies in the modernization and automation of their systems through scientific tools.
Thematic Topics
  • Design of real-time embedded systems.
  • Analysis and synthesis of images.
  • Computer vision.
  • Modelling and simulation of complex systems.
  • Engineering of intelligent distributed systems.