Nikolaos Pappas received the B.Sc. degree in computer science, the B.Sc. degree in mathematics, the M.Sc. degree in computer science, and the Ph.D. degree in computer science from the University of Crete, Greece, in 2005, 2012, 2007, and 2012, respectively.
From 2005 to 2012, he was a graduate Research Assistant with the Telecommunications and Networks Laboratory, Institute of Computer Science, Foundation for Research and Technology, Hellas, and a Visiting Scholar with the Institute of Systems Research, University of Maryland at College Park, USA. From 2012 to 2014, he was a Post-Doctoral Researcher with the Department of Telecommunications, Supélec, France. From March 2014 to March 2016, he was a Marie Curie Fellow with the University of Linköping. Currently he is a Senior Lecturer and Docent at the Communications and Transport Systems (KTS), Department of Science and Technology (ITN). He is the Principal Investigator for the projects "Physical Layer Secrecy for IoT Networks with Heterogeneous Traffic" funded by Swedish Vetenskapsradet (VR), and "Low Latency Communications for Wireless Networks: Exploiting Traffic Characteristics" funded by CENIIT.
His main research deals with age of information, network-level cooperative wireless networks, wireless energy harvesting networks, queueing theory, stochastic modelling and performance analysis, content caching, tactile internet, internet of things, and stochastic geometry. Furthermore, he is a voting member at the IEEE Working Group P1918.1 - Tactile Internet: Application Scenarios, Definitions and Terminology, Architecture, Functions, and Technical Assumptions.

He is serving as an Editor for the IEEE Transactions on Communications, IEEE Open Journal of Communications Society, and the IEEE/KICS Journal of Communications and Networks. From 2013-2018 he was serving as an Editor for the IEEE Communications Letters.


External Website
Google Scholar profile
ResearchGate profile

Recent publication

On the Role of Age of Information in the Internet of Things

Age of Information: A New Concept, Metric, and Tool


TNK117 Data Analytics for Smart Cities
TNK105 Applied Optimization II
TNK093 Mobile Communications
TNK110 Mobile Communications and Networks

Statistical Learning (Advanced PhD-course) (Fall 2019)
Network Virtualization (Advanced PhD-course) (February 2016)
Self-Managed Networks (Advanced PhD-course) (September 2015)

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