Maël Guiraud

Maël Guiraud is a Teacher-researcher at CESI Nanterre Campus, specializing in Algorithms and complexity, Telecom networks, and Industry 4.0. He holds a PhD in Computer Science from Paris Saclay University (2021) and a Master AMIS from the same institution (2016). His research focuses on optimizing network latency and scheduling in 5G and beyond contexts.

• Education:
  • PhD in Computer Science (2021), DAVID Laboratory, Paris Saclay University (UVSQ)
  • Master AMIS (2016), University Paris Saclay
  • Computer Science Degree (2014), University of Versailles Saint-Quentin

Guiraud's work spans deterministic scheduling in Cloud RAN environments, low-latency network optimization, and Time-Sensitive Networking (TSN). His publications highlight collaborations with Nokia Bell Labs France and contributions to 5G telecom infrastructure.

Recent research trends include

• Periodic message scheduling for telecom networks
• Deterministic contention management in optical rings
• Experimental TSN platform development

At CESI, he teaches algorithms, programming, and operational research in engineering school curricula, including embedded electrical systems.