Dr David Naseh

Profile

I am a Research Fellow at the University of Leeds, where I lead AI/ML integration into edge computing ecosystems for 6G networks within the UK 6G National Research Programme (EPSRC/DSIT CHEDDAR Hub). I hold a PhD in Telecommunications (Automotive Engineering for Intelligent Mobility) from the University of Bologna and another PhD in Control Systems (Electrical Engineering). My research focuses on distributed ML/AI for next-generation intelligent communication systems (B5G/6G), with an emphasis on sustainable telecommunications and scalable, privacy-aware learning for edge computing, IoT, and integrated terrestrial/non-terrestrial architectures.

I have collaborated on European projects including EU Horizon Europe SNS-JU 5G-STARDUST, Next-Generation EU PNRR RESTART, and ESA EDGECOLB, working with international partners across multiple countries. I have served as a lecturer and laboratory director, supervised and co-supervised student projects and theses, and delivered AI/ML training for engineers. I review for several journals, including IEEE IoT Magazine and IEEE TWC, and for conferences such as IEEE ICC, IEEE GLOBECOM, and IEEE WCNC.

I have co-authored three book chapters and more than 20 peer-reviewed papers. I was a Top 10 finalist in the Three-Minute Thesis (3MT) Competition and have received the Marco Polo Grant and a Seal of Excellence from the European Commission for the MSCA proposal UNITY.

Research interests

My research interests include distributed machine learning (federated learning, split learning, and reinforcement learning), cloud/edge computing, vehicular networks, intelligent transport systems, and B5G/6G integrated terrestrial/non-terrestrial networks.

Qualifications

• PhD in Telecommunications (Automotive Engineering for Intelligent Mobility)
• PhD in Control Systems (Electrical Engineering)
• MSc in Telecommunications (Electrical Engineering)
• BSc in Electronics (Electrical Engineering)

Professional memberships

• IEEE Young Professionals
• IEEE Communication Society
• IEEE Computer Society
• IEEE Vehicular Technology Society