The Conservatoire National des Arts et Métiers (CNAM) contributes to the project through its computer science and communications department CEDRIC, an internationally recognized research institute. CNAM is responsible for tracking the progress of milestones and deliverables in accordance with the project schedule and within the agreed budget and timeframe. It also ensures effective communication and dissemination of results, identifies and mitigates potential risks, and reports regularly to the ANR. CNAM brings expertise in project coordination, risk management, and technical research contributions.
CNAM participants:
Pengwenglong GU,
Sami TAKTAK,
Stefano Secci (coordinator).
AU leads WP3. Its main contribution is to develop efficient algorithms for traffic scheduling and Task 2.1 on the GenAI application monitoring. AU will contribute to Net4AI with an in-kind coflow simulator platform, developed in cooperation with Huawei.
AU participants:
Francesco De Pellegrini (PI),
Rachid El Azouzi
The contribution of IMT-A (44 PM) is primarily focused on the experimental side, leading WP4 for the large scale experimentation (including also leading Task 4.2 and Task 4.3) as well as leading Task 1.3 which will produce the test specifications that will guide the experimental design.
IMT-A participants:
Remous-Aris Koutsiamanis (PI),
Mario Südholt
Scalnyx is a French Deeptech company and software publisher specializing in high performance computing, risk modeling and causal artificial intelligence. More than 50% of Scalnyx team holds a PhD. The Scalnyx PI is Charly Bechara (committing 6 PM), who has a long expertise in High-Performance computing and software acceleration technologies, including recent participation to EIT Manufacturing project.
Scalnyx participants:
Dr. Charly Bechara (PI),
Dr. Santiago Cortijo, Mathic Guenet (PhD candidate)
Huawei Technologies France includes researchers of the Datacom Lab at Huawei Paris Research Center. This center involves more than 200 researchers, all at PhD level, 25 of them working on Machine Learning, Measurements and Control for IP networks. The PI is Paolo Medagliani (committing 6 PM), who has a long expertise in traffic optimization, routing and network control, including coordination of FP7 projects (CALIPSO), and ANR IRIS. HUAWEI contribution is primarily on network architecture and use cases, GenAI workload monitoring, flow scheduling and large-scale evaluation. Huawei effort of 32 PMs includes a 18-month Postdoc.
Huawei participants: Paolo Medagliani (PI), Dario Rossi, Massimo Gallo