EVOLVE Workshop in Ghent

26–27 June 2025 Ghent University, Ghent, Belgium

General information

The EVOLVE consortium met in Ghent for a two-day workshop hosted by Ghent University at its IDLab in the iGent building. Partners attended in person and online. The workshop opened with an update on the project’s status and a keynote by John Strassner (Futurewei) on 6G cognitive networks.

Over the two days, researchers from the University of Malaga, Ghent University, the University of Huddersfield, Northumbria University, the University of Leeds, the University of Oulu, Cemosa and Softcrits presented their latest work. Topics included wireless foundation models, LLMs for radio resource management, federated and incremental learning for EVs, BLE localisation, EV safety, grid simulation, charging scheduling and O-RAN resource allocation ⚡📡

The second day covered the secondments under way and future collaboration, both within the project and beyond it, including upcoming calls. The workshop ended with a visit to UGent’s research facilities.

Keywords

Electric vehicles, EV charging, 6G, cognitive networks, foundation models, LLMs, federated learning, incremental learning, blockchain, BLE localisation, O-RAN, smart grids, secondments

Program and Schedule

Day 1 – 26 June 2025

  • 09:00–09:10 Welcome and opening of the workshop – Adnan Shahid (UGent)

  • 09:10–09:30 Project status – Cristian Martín (University of Malaga)

  • 09:30–10:30 Keynote: The Dawn of 6G Cognitive Networks – John Strassner (Futurewei)

  • 10:30–10:45 Coffee break

  • 10:45–11:45 Research work – Ghent University

    • Wireless Foundation Model for Technology Recognition (Mohammad)

    • LLMs for Radio Resource Management (Hojjat)

  • 12:00–13:00 Lunch

  • 13:00–14:00 Research work – University of Malaga

    • Federated Learning meets Blockchain: A Kafka-ML Integration for Reliable Model Training Using Data Streams (Antonio Jesús Chaves)

    • Distributed Federated and Incremental Learning for Electric Vehicles Model Development in Kafka-ML (Alejandro Carnero)

  • 14:00–15:00 Research work – University of Huddersfield (online)

    • Using Machine Learning to Localise BLE Devices on a Single Anchor (Samuel Leitch)

    • Advanced Connected Technologies for EV Safety (Ansif Arooj)

  • 15:00–15:15 Coffee break

  • 15:15–16:15 Research work – Cemosa (online)

    • Tools for the Characterization and Simulation of the Electric Grid Including EV Charging Optimization (Jaime Abril)

  • 16:15–17:00 Research work – Northumbria University (online)

    • Roadside Unit Assisted Optimised Trajectory Planning and Charging Scheduling of Electric Vehicles: Deventer City Case Study (Abbas Mehrabidavoodabadi)

Day 2 – 27 June 2025

  • 09:00–10:00 Research work – University of Leeds (online)

    • Optimal Resource Allocation for O-RAN with Integrated Access and Backhaul (Alican Topcu)

    • FedORA: Resource Allocation for Federated Learning in Dynamic Networks Using O-RAN (Abdelaziz Salama)

  • 10:00–11:00 Research work – University of Oulu (online)

    • Charging Sessions Management for Large-Scale EV Stations and Power Recovery System for Resilient Wireless Communication Networks Using EVs (Su Pyae Sone)

  • 11:00–11:15 Coffee break

  • 11:15–11:45 Research work – Softcrits (online)

    • Overview of Research Projects in the Context of EVOLVE (Manuel Díaz)

  • 11:45–12:15 Overview of ongoing secondments – Cristian Martín (University of Malaga)

  • 12:15–13:00 Lunch

  • 13:00–14:45 Collaboration and next steps

    • Collaboration within the project

      • Collaboration beyond the project

        • Targeting next calls

  • 14:45–15:00 Coffee break

  • 15:00–17:00 Research facilities visit (UGent): Homelab, w-iLab.2, GPULab, IoTLab, 5G/6G testbed and openwifi

EVOLVE

This project has received funding from the European Union's Horizon Europe research and innovation programme under the Marie Skłodowska-Curie, EVOLVE, grant agreement No 101086218.

EVOLVE (Electric Vehicles Point Location Optimisation via Vehicular Communications) Project © 2023-2026

Maintained by Ertis Research group, University of Malaga, Spain