David Naseh holds a Ph.D. in Telecommunications (Automotive Engineering for Intelligent Mobility) from the University of Bologna and a Ph.D. in Control Systems (Electrical Engineering). At the University of Leeds (UK), he is currently engaged in research on distributed ML/AI for next-generation intelligent communication systems (B5G/6G), with a focus on sustainable telecommunications and scalable, privacy-aware learning for edge computing, IoT, and integrated terrestrial/non-terrestrial (T-NT) architectures. He has collaborated in European projects including EU Horizon Europe SNS-JU 5G-STARDUST, Next-Generation EU PNRR RESTART, and ESA EDGECOLB, with international partners across multiple countries. Dr. Naseh has served as a lecturer and laboratory director and as a reviewer for several journals, including IEEE IoT Magazine and IEEE TWC, as well as conferences such as IEEE ICC, WCNC, and IEEE Meditcom. He is currently a Guest Editor of the Symmetry Special Issue “Advances in Distributed Computing, Communication, and Learning.” He has co-authored three book chapters and more than 20 peer-reviewed papers and has been a top ten finalist in the Three-Minute Thesis (3MT) Competition. He is a recipient of the Marco Polo Grant and a Seal of Excellence for his MSCA proposal (UNITY) from the European Commission. His research interests include distributed machine learning (FL, SL, and RL), cloud/edge computing, vehicular networks, ITS, and B5G/6G integrated T-NTNs.