David Beserra

Associate Professor

Team

Security and Systems

Campus

Paris

Contact

david.beserra@epita.fr

Research Area

High-Performance Computing
Virtualization and Resource Management

Me in brief:

Member of the Security and Systems group of the LRE.

Associate Professor at EPITA Paris.

My work focuses on software and systems performance, with particular interest in high-performance computing, virtualization, and resource management.

Short Bio

I am an Associate Professor at EPITA Paris and a member of the Security and Systems group of the LRE.

I hold a PhD in Computer Science from Université Paris 1 Panthéon-Sorbonne, an MSc in Computer Science from Universidade Federal de Sergipe, and a BSc in Computer Science from Universidade Federal Rural de Pernambuco.

My research lies at the intersection of software and hardware performance, systems, and distributed computing. I work on the performance evaluation of virtualized and containerized infrastructures, the parallelization and analysis of algorithms, and resource management in pervasive systems.

Research Interests

  • High-performance computing (HPC), with a focus on performance evaluation, benchmarking, and experimental analysis.

  • Virtualization and containerization, including the study of virtual machines, containers, and related infrastructures from a performance and resource-usage perspective.

  • Parallel and distributed systems, including algorithm parallelization and the evaluation of systems software.

  • Resource management in pervasive systems, especially context-aware and policy-driven approaches for adaptive execution environments.

Teaching

Since joining EPITA, I have taught and supervised activities in systems, Linux/Unix administration, parallel programming, signal processing, data structures, networking, object-oriented modelling, and advanced algorithms. I also supervise final-year apprenticeship projects.

My teaching activities include:

  • Unix System Administration
  • Introduction to Linux
  • Introduction à la programmation Parallèle
  • Structures de données
  • Elément Réseau
  • Modélisation / Modélisation objets
  • Approche orienté objet
  • Algorithmique avancée