Project cooperation
Duckietown Testbed Exploitation and Development Utilisation
Duckietown enables AI-driven micro-mobility and energy-aware traffic control to support 15-min cities and Positive Energy Districts.
Assistant Professor
Neapolis University Pafos
Pafos, Cyprus
Research interests: Vehicular Networks and Intelligent Transportation Systems Smart City (Duckietown based) Lab manager @ Neapolis University of Pafos
MICHAEL GEORGIADES (M’97) is an Assistant Professor in the field of Communication Networks in the Department of Computer Science, Neapolis University. He received a B.Eng. in Communications and Radio Engineering with First Class Honors from King’s College London in 2000, an M.Sc. in Telecommunications from University College London in 2001, and a Ph.D. in Wireless and Mobile Networks from the University of Surrey in 2008. He is also currently pursuing an M.Sc. Machine Learning and Data Science at Imperial College London (MLDS’25). Positions held include Assistant Professor at Neapolis University Pafos, R&D Manager at Infostrada Communications, Adjunct Lecturer at the Cyprus University of Technology and Open University of Cyprus, R&D Manager at Primetel PLC, Research Fellow at the Centre of Communication Systems Research (CCSR) University of Surrey (UK) and Systems Development Engineer at INSIG Ltd (UK). Dr. Georgiades, has been involved in more than 20 EU funded projects and is also an active expert evaluator for the EUREKA Eurostars international funding program. He is a patent holder and has authored more than 70 publications in international journals, conferences, book chapters, and IETF. He has received several awards in the past, including Primetel Excellence and Appreciation Awards, Nokia Research Excellence Award and EPSRC Fellowship. As a distinguished IEEE member, he actively contributes as a reviewer for prestigious journals, magazines, and conferences within the IEEE community. Areas of research interest include: Tactile Internet, Mobile Edge Computing, Vehicular Networks, Internet of Things, Edge Intelligence, and Federated Learning.
Project cooperation
Duckietown Testbed Exploitation and Development Utilisation
Duckietown enables AI-driven micro-mobility and energy-aware traffic control to support 15-min cities and Positive Energy Districts.
Project cooperation
Know-how Expertise in Intelligent Urban AI Systems
Expertise in ML, FL, XAI, offloading & mobility for adaptive, privacy-preserving AI in smart, sustainable urban environments.