8th International Conference on Machine Learning for Networking (MLN'2025)
Preliminary program
Tuesday December 2nd, 2025
09:00 — Registration
09:45 — Conference opening
10:00 — Keynote 1
Challenges towards in-network learning: algorithms and systems
Stefano Secci (Conservatoire National des Arts et Métiers, France)
11:00 — Coffee break
11:15 — Keynote 2
Closed Loop Automation System for B5G and 6G networks
Nour El-Houda Yellas (Télécom SudParis, France)
12:15 — Lunch break
14:00 — Keynote 3
Artificial Intelligence for Digital Twin in Wireless Systems
Mohsen Guizani (Mohamed Bin Zayed Univ. of Artificial Intelligence, Abu Dhabi, UAE)
15:00 — Coffee break
15:15 — Session 1
Slotted Reinforcement Learning-based radio resource allocation in sliced 5G networks
Gauthier Meffe, Philippe Owezarski and Pascal Berthou (Univ. de Toulouse, France)
Machine Learning-Based Region Segmentation for Enhanced Wi-Fi Fingerprinting in Indoor Localization
Mohamad Anas Mohamad Nour, Saleh Alshami and Rashid Ali (Univ. West, Sweden)
Enhanced DiNATrAX for Multi-Protocol Anomaly Detection
Maham Kayani, Nahom Getachew Gari, Nardos Hadis Haile, Christophe Maudoux and Selma Boumerdassi (Conservatoire National des Arts et Métiers, France)
Generative Adversarial Network Framework for Synthetic Rainfall Generation and Climate Resilience Planning
Patience Akinpelu (Univ. of Zululand, South Africa), Deborah Olaniyan (Bowen Univ., Nigeria), Samson Akinpelu ( Univ. of KwaZulu-Natal, South Africa), Julius Olaniyan (Bowen Univ., Nigeria) and Serestina Viriri ( Univ. of KwaZulu-Natal, South Africa)
19:00 — Conference dinner
Wednesday December 3rd, 2025
10:00 — Keynote 4
Optimizing UAV-Based Applications through the Convergence of IoT, ITS, and AI
Saadi Boudjit (Univ. of Rouen Normandy, France)
11:00 — Coffee break
11:15 — Session 2
Ensemble Neuro-Symbolic AI and Logic Tensor Networks for Detecting Fraud on the Ethereum Blockchain
Zainab Khallouf (École Nationale Supérieure d'Ingénieurs de Bretagne Sud, France) and Pierre-François Marteau (École Nationale Supérieure d'Ingénieurs de Bretagne Sud and IRISA, France)
Intelligent Aggregation of Single-Sensor Classifiers for Enhanced Structural Health Monitoring Networks
Mohamed Abdelillah Fidma, Jean-François Bercher and Franziska Schmidt1 (Univ. Gustave Eiffel, France)
Enhancing The Assessment of the Quality of Explanations for AI-based Network IDS
Audrey Fongue, Jerry Lonlac, Patrick Sondi and Ahmed Meddahi (IMT Nord Europe, France)
12:30 — Lunch break
14:00 — Keynote 5
Graph Neural Networks for Scalable Network Optimization
Yassine Hadjadj Aoul (Univ. of Rennes, France)
15:00 — Coffee break
15:15 — Session 3
An Availability Management Framework for Microservices based Safety-critical CIoT systems
Hassaan Siddiqui (Tecsys Inc. and Concordia Univ., Canada) and Ferhat Khendek (Concordia Univ., Canada)
Dataflow for Predicting Stone Degradation in Built Heritage up to 2100
Diyane David Nonon Saa, Cyril Rabat, Céline Schneider, Patricia Vazquez and Hacène Fouchal (Univ. de Reims Champagne-Ardenne, France)
Balancing Accuracy and Energy: An Empirical Study of Optimal Subset Size Selection
Oumayma Haddaji, Olivier Brun and Balakrishna Prabhu (Univ. de Toulouse, France)
Bone Fracture Recognition using Robust Deep Learning Techniques
Samson Akinpelu (Univ. of KwaZulu-Natal, South Africa) and Serestina Viriri (Univ. of KwaZulu-Natal and Univ. of South Africa, South Africa)
Thursday December 4th, 2025
10:00 — Keynote 6
CupCarbon Klaines: A Platform to Design Agentic AI for Next-Generation Smart Cities
Ahcene Bounceur (Univ. of Sharjah, UAE)
11:00 — Coffee break
11:15 — Session 4
Multi-Objective IoT Service Placement in Cloud-Fog-Edge Environments Using Deep Reinforcement Learning
Mohamed Bouaziz (Univ. de Toulouse, France and École Polytechnique, Tunisie), Hassan Hassan, Abdel Kader Chabi Sika Boni and Khalil Drira (Univ. de Toulouse, France)
Predicting Intents: LSTM-Based Modeling
Nagham Hachem, Manh Cuong Nguyen and Éric Renault (Univ. Gustave Eiffel, France)
Multi-Objective Deep RLL Based RAT Selection for V2X Communication
Solomon Orduen Yese, Sara Berri and Arsenia Chorti (CY Cergy Paris Univ., France)
Reducing BLE Energy Loss using Machine Learning
Morgane Joly (Univ. of Caen Normandy, France)