Research Teams

Multi-objective Optimization

Multi-objective Optimization (OPMO) team belongs to the laboratory of parallel and embedded architectures, and high performance computing (LAPECI) founded in April 2013. The team's research field is solving multi-objective optimization problems. These problems occur in various fields such as telecommunications, biology, physics, chemistry, finance, embedded systems, etc. The main research theme is to provide efficient and effective optimization methods that use hybridization techniques and parallelism to solve large scale multi-objective optimization problems.

IDMSE

The work of the team is focused on the field of model engineering in general and more specifically on the concepts of model transformation as defined by the OMG as well as on formal verification techniques for transformations.

Parallel, distributed and real-time systems

Advances in semiconductor technology make it technically possible to integrate complex systems on a single chip. This solution increases computing power by integrating hundreds of processors on MPSoC. The optimal allocation and scheduling of the tasks constituting them can be obtained statically. Our objective is to participate in this design flow by proposing solutions to the problems of assigning, allocating and scheduling real-time and computationally intensive applications on embedded systems.

High Performance Programming

This team works on several axes: exploitation of neural networks for handwritten character recognition, exploitation of sensor networks for critical surveillance, face and video content recognition, development of an Algerian search engine, establishment of multi-criteria methods (Top-K and dynamic skylines calculation), and knowledge extraction using data mining methods.