The M2 projects for 2025 have been assigned to a joint class with some AI4CI students as well:
- Analysis of LLM Workload Generation within SimAI
Tutors: Davide Avesani, Pengwenlong Gu
Student: Khalil Bou Khalil (AI4CI) - BATMAN vs OLSR: performance comparison of two mesh network routing protocols
Tutor: Cédric Adjih (Inria)
Student: Sabrina Belkalem - Distributed Anomaly Detection with Split Learning Model
Tutor: Pengwenlong Gu
Student: Reachna Kim - NVIDIA Sionna Real Time for Ray-Traced Wireless Network Simulation
Tutors: Masoud Baharlouei, Stefano Secci
Student: Luka Tsivilashili - Beating Dijkstra: Evaluating a newly discovered algorithm for shortest path computation
Tutors: Stefano Secci
Student: Youssef El Amine (AI4CI) - WebAssembly & WASMCLOUD: experimental evaluation
Tutors: Naresh Modina, Stefano Secci
Student: David Khvedelidze - Mobility Prediction in 5G networks with Machine Learning
Tutors: Pedro Braconnot Velloso, Vania Conan
Student: Sahil Sartaj (AI4CI) - Cryptographically protected deep learning models for data privacy preservation
Tutors : Lyes Khoukhi and Zakria Abouelhouda (INRS, Canada)
Student: Zeineb Elghoul - Implementation and evaluation of efficient methods for fine-tuning LLMs with federated learning
Tutors : Lyes Khoukhi and Zakria Abouelhouda (INRS, Canada)
Student: Mahmoud Mayaleh (AI4CI) - Performance analysis of Kubernetes operators and impact on K8S control plane
Tutor: Christian Destré (Orange)
Student: Wahib Kanaan - Comparison of User Plane in 5G opensource system configuration
Tutor: Christian Destré (Orange)
Student: George Selem - Evaluating Multi-Connectivity in Non-Terrestrial Networks (NTN)
Tutors: Farzad Veisi, Pedro Velloso
Student: Miriam Raad - 5G Core Network Functions Security Analysis
Tutors: Filippo Rebecchi & Dang Kien (Ericsson)
Student: Milvan Foi & Jasmine Joshi - Benchmarking 5G RAN
Tutors: Pedro Braconnot Velloso, Farzad Veisi, Masoud Baharlouei
Student: Seonho Kim
2025 Advanced Projects
