Alumni Distinguished Graduate Professor
    Computer Science Department
    North Carolina State University

Biographical Sketch

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Harry G. Perros
is an IEEE Fellow, a Professor of Computer Science, an Alumni Distinguished Graduate Professor, and the co-founder and program coordinator of the Master of Science degree in Computer Networks at NC State University.

He received the B.Sc. degree in Mathematics in 1970 from Athens University, Greece, the M.Sc. degree in Operational Research with Computing from Leeds University, England, in 1971, and the Ph.D. degree in Operations Research from Trinity College Dublin, Ireland, in 1975. He has held visiting faculty positions at INRIA, Rocquencourt, France (1979), NORTEL, Research Triangle Park, North Carolina (1988-89 and 1995-96), University of Paris 6, France (1995-96, 2000, 2002, 2012), University of Paris 13, France (2005-2006), and Victoria University, Wellington, New Zealand (2006).

He has published over 200 journal and conference papers in the area of performance modelling of computer and communication systems, and he has organized several national and international conferences. He has also published six print books: Queueing Networks with Blocking: Exact and Approximate Solutions, Oxford University Press 1994, An Introduction to ATM Networks, Wiley 2001, Connection-Oriented Networks, Wiley 2005, Networking Services: QoS, Signaling, Processes, Amazon.com 2014, VBR Video Traffic Models, Wiley-ISTE 2014, and Bandwidth Allocation for Video under QoS Constraints, Wiley-ISTE 2015, and a free e-book Computer Simulation Techniques – The Definitive Introduction, 2002, with over 100,000 downloads.

In 1995 he founded the IFIP Working Group 6.3 on the Performance of Communication Systems, and he was the chairman from 1995 to 2002. He is also an associate Editor of several Journals including the Performance Evaluation Journal, and the Telecommunications Systems Journal.

His current research interests are in the areas of video traffic modelling, resource allocation under QoS, capacity planning of clouds, IoT analytics, and queueing theory.