Vasileios Karyotis

He holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), a Master’s degree from the Department of Electrical Engineering and Systems Engineering at the University of Pennsylvania in Philadelphia, USA, and a Ph.D. from the School of Electrical and Computer Engineering at the National Technical University of Athens. His research interests focus on network-centric information systems, particularly the analysis, modeling, and applications of complex networks; topology control and resource allocation in wireless networks; and the modeling and control of information dissemination in network-centric systems.

Research Interests

• Network Science: complex network analysis & dynamic network processes
• Cross-layer design, topology control and Cognitive Radio networks
• Malware propagation modeling
• Big network data
• Resource allocation, QoS, routing, capacity-delay in decentralized and autonomous networks

Selected Publications

• E. Stai, V. Karyotis and S. Papavassiliou, “A Hyperbolic Space Analytics Framework for Big Network Data and their Applications”, IEEE Network Mag., Vol. 30, No. 1, pp. 11-17, January-February 2016.
• E. Stai, V. Karyotis and S. Papavassiliou, “Analysis and Control of Information Diffusion Dictated by User Interest in Generalized Networks”, Springer Journal of Computational Social Networks, Vol. 2: Article 18, December 2015.
• V. Karyotis and S. Papavassiliou, “Macroscopic Malware Propagation Dynamics for Complex Networks with Churn”, IEEE Communications Letters, Vol. 19, No.4, pp. 577-580, April 2015.
• E. Anifantis, V. Karyotis and S. Papavassiliou, “A Spatio-Stochastic Framework for Cross-Layer Design in Cognitive Radio Networks”, IEEE Trans. on Parallel and Distributed Systems, Vol. 25, No. 11, pp. 2762-2771, October 2014.
• E. Anifantis, E. Stai, V. Karyotis and S. Papavassiliou, “Exploiting Social Features for Improving Cognitive Radio Infrastructures and Social Services via combined MRF and Back-pressure Cross-layer Resource Allocation”, Springer Journal of Computational Social Networks, Vol. 1: Article 4, October 2014.