Michele Pagano is a graduate of the University of Pisa, a leading scientist, the author of more than 200 publications in international journals, and a participant in many international research projects. His research interests include the modeling and classification of teletraffic, the analysis of performance indicators in communication networks, the problems of security in distributed architectures, cloud computing, Green Networking technology, software-configurable SDN networks, statistical traffic classification and network security issues (mainly in the framework of anomaly-based Intrusion Detection Systems), and to Green Networking (energy efficiency of current network devices and planning of energy-aware routing algorithms).

Professor Pagano annually reads open lectures for undergraduate, graduate and postgraduate students of the Department of Applied Informatics and Probability Theory. This year, he presented a course of five lectures for students of the 4th and 5th year, as well as graduate students of the Department on Theoretical Methods in Teletraffic Theory:«Self-Similarity and Heavy Tails Distributions in Traffic Modeling».In his lectures on September 12 - 13, 2017, Professor Pagano told in detail about the basic concepts associated with teletraffic modeling, the differences and connections between them.