EVOLVE at NextGCom 2026: Special Session on EV Charging Point Location Optimisation

28 September 2026, Argostoli, Kefalonia, Greece

General information

EVOLVE organised a special session at the Next Generation Communications Conference (NextGCom 2026), held from 28 to 30 September 2026 in Argostoli, on the Greek island of Kefalonia. The conference was organised by the Department of Digital Media & Communication of the Ionian University and Technology for Society, and technically co-sponsored by the IEEE Communications Society.

The session shared its name with the project: Electric Vehicles Point Location Optimisation via Vehicular Communications. It brought together researchers from several EVOLVE partners: the University of Malaga, the University of Huddersfield and Northumbria University. They presented recent results on intelligent management of EV charging infrastructure, covering edge computing, digital twins, multi-agent systems, federated learning, anomaly detection and cybersecurity for charging stations ⚡🚗

Program and Schedule

  • Edge-Driven Load Control for EV Charging Under Battery-Less Microgrid Constraints– Antonio Jesús Chaves and Cristian Martín (University of Malaga, Spain); Manuel Díaz (University of Málaga, Spain)

  • Efficient Energy Management Using Multi-Agent Systems and Digital Twins -Sergio Infante (ITIS Software, University of Málaga, Spain); Julia Robles (University of Málaga, Spain); Luis Llopis and Cristian Martín (University of Malaga, Spain); Fernando Díaz (Softcrits, S.A., Spain); Manuel Diaz (University of Malaga, Spain)

  • Digital Triplet (D3) Framework for Anomaly Detection in EV-Integrated Grids– Ansif Arooj and Qasim Zeeshan Ahmed (University of Huddersfield, United Kingdom (Great Britain)); Nauman Aslam (Northumbria University, United Kingdom (Great Britain)); Cristian Martín (University of Malaga, Spain); Pavlos Lazaridis (University of Huddersfield, United Kingdom (Great Britain))

  • Semi-Supervised Federated Incremental Training over Electric Vehicle Data Streams -Alejandro Carnero, Cristian Martín and Manuel Diaz (University of Malaga, Spain)

  • When Simpler Models Win: A Leakage-Aware Evaluation of Benign-Only Intrusion Detection for Electric Vehicle Charging Stations -Mohammad Alauthman (University of Petra, Jordan); Nauman Aslam (Northumbria University, United Kingdom (Great Britain)); Qasim Zeeshan Ahmed and Ansif Arooj (University of Huddersfield, United Kingdom (Great Britain))

EVOLVE

Background image property of teksomolika on Freepik

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