EDHEC Business School and EURECOM are pleased to announce a long-term strategic partnership embracing the triple dimensions of Research, Entrepreneurship and Teaching. The two international institutions, which already have close geographic and cultural ties, are teaming up to build a shared future through an innovative partnership model geared to tackling the challenges of a world undergoing profound transformation
Imène GHAMNIA, PhD student in the Communication System Dept., supervised by Prof. Dirk SLOCK and by Mrs. YUAN-WU Yi (ORANGE) as industrial co-supervisor, brilliantly defended her doctoral thesis on June, 15th, 2021.
Topic of the thesis: "Rate Balancing Methods for Multi-User MIMO Systems with Perfect or Partial CSIT"
- Mrs. REKAYA BEN OTHMAN Ghaya (Telecom Paris – France)
- Mr. RATNARAJAH Tharm (Edinburgh University - UK)
EURECOM is top ranked #1 in the annual HappyAtSchool 2021 ranking which rewards institutions that are the best places to live for students !
The IEEE International Conference on Communications (ICC) is an annual international academic conference organised by the Institute of Electrical and Electronics Engineers' Communications Society.
It will be held as a virtual conference from June 14 to 23, 2021 in Montreal, Canada.
The IEEE International Conference on Communications (ICC) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, around 3,000 researchers submit proposals for paper presentations and program sessions to be held at the annual conference.
Prof. Adlen Ksentini will run a Seminar@SystemX online on the following topic “Optimal MEC resources dimensioning for vehicle collision avoidance system: A deep Learning Approach”, on July 8, from 2:00 pm to 3:30 pm.
Resume : Collision detection and avoidance between vehicles is one of the key services envisioned in the Internet of Vehicles (IoV). Such services are usually deployed at the Multi-access Edge Computing (MEC) to ensure low latency communication and thus guarantee real-time reactions to avoid collisions between vehicles. In order to maximize the coverage of the road and ensure that all vehicles are connected to an optimal MEC host (in terms of geographical location), the collision avoidance application needs to be instantiated on all the MEC hosts. This may add a burden on the computing resources available at the latter. In this talk, I will introduce an AI-empowered framework that aims to optimize the computing resources at the MEC hosts in the context of IoV. The proposed framework uses deep learning to (1) predict the vehicle density to be served by a MEC host and (2) derive the exact computing resources required by the collision detection application to run optimally.
The Digital Security Department of EURECOM invites applications for a tenured position at the Assistant Professor level…
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