Programmable mobile networks
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Andrew T. Campbell (www.comet.columbia/∼campbell) joined the E.E. faculty at Columbia as an Assistant Professor in January 1996 from Lancaster University where he conducted research in multimedia communications as a British Telecom Research Lecturer. Before joining Lancaster University, Dr. Campbell worked for 10 years in industry focusing on the design and development of network operating systems, communication protocols for packet-switched and local area networks, and tactical wireless communication systems. Dr. Campbell is a member of the COMET Group at Columbia's Center for Telecommunications Research where he is conducting research in wireless media systems (www.comet.columbia.edu/wireless). His current research interests include the development of programmable mobile networks, cellular IP networks and programmable router technologies.
Michael E. Kounavis (www.comet.columbia/∼mk) is a Ph.D candidate and Graduate Research Assistant at COMET Group, Columbia University. He received his Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece (NTUA) in 1996 and his M.Sc. degree from Columbia in 1998. His current research focuses on the technology of programmable virtual networks. Over the past two years he has been actively involved in mobile network programmability and active transport over wireless links.
Raymond R.-F. Liao (www.comet.columbia/∼liao) joined the COMET Group, Columbia University in 1996 as a Ph.D. student and Graduate Research Assistant. Before that, he worked at Newbridge Networks, Canada for 3 years on ATM product performance analysis and traffic management. He received the M.A.Sc. degree in fault-tolerant ATM switch design and queueing analysis from the Dept. of Electrical and Computer Engineering, University of Toronto, Canada, in 1993, and the Bachelor degree from Huazhong University of Science and Technology, China, in 1990. His current research focuses on realizing adaptive-QOS in wireless/mobile multimedia networks with middleware methodologies including distributed computing and network economics.