Team members

Team Leader

Guillaume Doyen (Professor IMT – Atlantique)

Permanent researchers

  • Pierre Alain (Associate Professor – Université de Rennes)
  • Ahmed Bouabdallah (Associate Professor – IMT Atlantique)
  • Yann Busnel (Professor – IMT)
  • Mohamed Aymen Chalouf (Associate Professor – Université de Rennes)
  • Gilles Guette (Professor – IMT Atlantique)
  • Romaric Ludinard (Associate Professor – IMT Atlantique)
  • Mohammed Nafi (Associate Professor – Université de Rennes)​
  • Renzo Efrain Navas (Associate Professor – IMT Atlantique)
  • Marc-Oliver Pahl (Research Director – IMT Atlantique)

Permanent research engineer

  • Fabien Autrel (Research engineer – IMT Atlantique)

PhD students

  • Gabriel Bourgeois – Exploring Time Sensitive Networking Misconfiguration’s Impact on Cybersecurity (10/24)
  • Hugo Bourreau – Enhancing Cybersecurity With Digital Twins and Artificial Intelligence (06/24)
  • Mathis Durand – Real-World Detection and Mitigation of AI-Based Cyberattacks and Defence Mechanisms Using CPHoneynets (11/23)
  • Yohann Morel – Automatic tracking of attackers in an IS and real-time adaptation of the system to make them reveal their TTPs (10/24)
  • Do Duc Anh Nguyen – Intent-Based Attack Mitigation Through Opportunistic Synchronization of Micro-Services (01/23)
  • Van Tien Nguyen – Network Intrusion Detection in Individual-Based Systems Leveraging WBAN Data (01/23)
  • Dorian Pacaud – Blockchain scalability and alternatives to proof of work (10/24)
  • Antoine Rebstock – APT Attacks: Extraction of Probable Scenarios by Correlation of Alerts (10/21)
  • Constant Rohmer – Towards robust, reliable and high-performance self-protection for connected systems: an approach based on blockchain and microservices (10/24)

Postdoc researchers

  • Loïc Miller – Blockchain Scalability
  • Issam Ikhelef – 5G Network Slices Security

Interns

  • Daisy Munson – From Natural Language to Intent-Based Networks

Former team members

PhD students

  • Léo Lavaur – Improving Intrusion Detection in Distributed Systems with Federated Learning

Comments are closed.