معرفی
Giuseppe Caso is a Senior Lecturer at the Department of Mathematics and Computer Science at Karlstad University. He has held visiting positions at institutions such as Leibniz University of Hannover, King’s College London, and Technical University of Berlin. His research focuses on cognitive and distributed communications, resource allocation in wireless systems, IoT technology, and location-based services. Caso has extensive industry experience, including roles at Ericsson Research and postdoctoral fellowships at Simula Metropolitan (SimulaMet) and Sapienza University of Rome.
Research interests span wireless network optimization, machine learning-driven positioning systems, and 5G/6G network evolution. His work emphasizes practical applications like energy-efficient IoT protocols, QoS/QoE in 5G, and vehicular edge computing. Over 50 publications highlight contributions to NB-IoT path loss modeling, empirical network analysis, and multipath scheduling.
Recent articles (2022–2025) explore 5G non-standalone performance, Starlink throughput, and AI-driven positioning in IoT networks. Caso collaborates widely with industry partners (Ericsson) and academic networks (5GENESIS). No awards were explicitly listed, but his work reflects recognition in network experimentation and standards compliance.
Advising focuses on doctoral/postdoctoral research in wireless systems, with grants supporting projects like CARL-W testbeds for 5G/Starlink analysis. No specific lab/team affiliations are mentioned, but his role involves leading academic-industry research collaborations.
