==== February 7th, 2025 ====
Beyond Network Programmability!
==== October 10th, 2024 ====
A sad day for me and for the entire Computer Science community at both Loria and Inria. Our colleague, Professor André Schaff passed away. He was was a builder, a brilliant researcher and a fantastic teacher who started and developped all the research and education in networking at our university. He was a mentor to many of us. Thank You André for everything!
==== September 30th, 2024 ====
I am proud to have served as a reviewer of Lionel Tailhardat's outstanding PhD Thesis @EURECOM and Sorbonne Université entitled « Détection d'anomalies par raisonnement synergétique sur des graphes de connaissance : application à la gestion des réseaux et à la cybersécurité ». Great work. You can find his publications and contributed Open Source models and tools here.
==== June 21st, 2024 ====
Il is always nice to restart (or renew) our basic knowledge in Computer Science and Technology. Having a few less loaded days at the end of this semester, I started to follow the "Google Cybersecurity Professional Certificate" at Coursera. Nice and a lot of fun even if not very demanding.
==== May 3rd, 2024 ====
Our submission "Improving Cloud Gaming traffic QoS: a comparison between a class-based queuing policy and L4S" has been accepted for publication at the 8th IFIP/IEEE Network Traffic Measurement and Analysis Conference (TMA 2024)! Happy and proud of the team and colleagues for the great work achieved in the French ANR supported (ANR-19-CE25-0012) MOSAICO project.
==== February 16th, 2024 ====
Over the last 30 years, new networking models have continuously emerged always contributing to the trajectory of making the networks more dynamic, more programmable and "universal" in all types of environments.
Among the multiple contributions that are published every year, I recently looked into the really nice concept of Molecular Networks addressing the second challenge and encourage the networking scientist to read the SIGCOMM 2023 paper entitled: "Towards Practical and Scalable Molecular Networks" by Wang and his colleagues. I love this kind of work!