Jad Nasreddine
Jad Nasreddine is a senior researcher at i2CAT. Prior to working at i2CAT, he was Associate Professor at Rafik Hariri University. Previously, he was the RAN/Core product manager at Mobinets. Before, he was working as senior researcher at the RWTH Aachen University. Between 2005 and 2008 he was working as post-doctoral researcher at Telecom-Bretagne and then UPC. He received his Ph.D. degree in March 2005 from university of Rennes I and his B.E. in 2001 from the Lebanese university. During his PhD, he was working as research assistant at the Telecom-Bretagne.
Dr. Nasreddine has been actively participating in several European projects, international standardization bodies, and international conferences and workshops. He has been also developing and instructing variety of courses and laboratories on computer science, telecommunication systems, and AI. Dr. Nasreddine served as track chair, associated editor, TPC and reviewer for several conferences and journals. He is also author of over 50 technical papers. His research interests include architecture and frameworks for 5G/6G networks, V2X communication, cognitive and composite networks, spectrum and radio resource management, opportunistic access and cooperative networks, smallcells, stochastic and context based techniques, propagation models, and machine learning applications.
Dr. Nasreddine has been actively participating in several European projects, international standardization bodies, and international conferences and workshops. He has been also developing and instructing variety of courses and laboratories on computer science, telecommunication systems, and AI. Dr. Nasreddine served as track chair, associated editor, TPC and reviewer for several conferences and journals. He is also author of over 50 technical papers. His research interests include architecture and frameworks for 5G/6G networks, V2X communication, cognitive and composite networks, spectrum and radio resource management, opportunistic access and cooperative networks, smallcells, stochastic and context based techniques, propagation models, and machine learning applications.
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