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Stochastic systems and data modeling

Activity of the research group:

Modelling computer and communication systems with stochastic processes, in particular Markov chains, fluid models, reward models and mean-field models. Efficient numerical solution of large-scale Markov chains with regular structure. Theory of large deviations. Numerical inverse Laplace transform. Data modelling by fitting phase type processes with Markov arrival processes. Main application areas (with industrial experience): performance analysis of telecommunication systems, efficient routing in sensor networks, modelling of financial and IoT data sets, anomaly detection.

Recent results:

Recent projects:

OKTA • MILAB • MTA TKI (Information Systems Research Group)

International relations:

TU Dortmund • Universita di Torino • University of Antwerp

Industrial partners:

Nokia – Bell Labs • Ericsson