Instructor profile Savo Glisic

Professor Savo Glisic

Worcester Polytechnic Institute, MA, United States

He was Visiting Scientist at Cranfield Institute of Technology, Cranfield, U.K. (1976-1977) and University of California, San Diego (1986-1987). He has been active in the field of wireless communications for 30 years and has published a number of papers and books. The latest book "Advanced wireless Networks: 5G/6G joint design of technology and business models" John Wiley & Sons, 2015, covers the enabling technologies for the definition of incoming 5G systems.

He is running an extensive doctoral program in the field of wireless networking (
His research interest is in the area of network optimization theory, network topology control and graph theory, cognitive networks and game theory, radio resource management, QoS and queuing theory, networks information theory, protocol design, advanced routing and network coding, relaying, cellular, WLAN, ad hoc, sensor, active and bio inspired networks with emphasis on genetic algorithms and stochastic geometry. The latest interest is in the area of spectra sharing, robust heterogeneous network design, Artificial Intelligence (AI), Inter System Networking (ISN), block chains and complex networks theory. He is doing research within the WiFiUS collaborative program between the NSF in US and Finnish Academy as well as on a number of research projects sponsored by EU FP7 program. He is active within 5G ppp association preparing the projects for Horizon 2020 calls.

Dr. Glisic has served as the Technical Program Chairman of the third IEEE ISSSTA'94, the eighth IEEE PIMRC'97, and IEEE ICC'01. He was Director of IEEE ComSoc MD programs.

Dr. Glisic has been a member of the Continuing Education Institute-Europe faculty since 1995.

Course 047 Neuroscience & QC in Complex Networks *NEW*
Course 048 QC in Chemistry & Biology - Complex Networks *NEW*
Course 049 Quantum vs Postquantum Cryptography *NEW*
Course 078 Quantum Computing and QC-Assisted Communications *NEW*
Course 079 Future wireless networks: 5G/6G technology

Course 080 Artificial Intelligence in Wireless Networks