I am looking for partners in the research area.

I am looking for partners interested in the Horizon Europe Call.

I am looking for partners for the Horizon Europe research area.

I am looking for laboratory facilities in the research/application area.

Stochastic Systems and Data Modeling Research Group

Research keywords: · Markov chains · queueing systems · performance evaluation · matrix-analytic methods · Markov fluid models · Mean-field models · data fitting · anomaly detection · data analytics · financial data analysis · sensor networks · MU-MIMO
Horizon Europe keywords: · Artificial Intelligence and Robotics · Cloud and edge technologies · Next generation computing and data technologies

Faculty of Electrical Engineering and Informatics Department of Networked Systems and Services

Dr. Miklós Telek

Full Professor

Introduction 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.
Achievements Publications Journals Projects

Achievements

-We have developed network dimensioning and performance analysis algorithms based on stochastic modelling for radio access networks in 2G, 3G and 4G networks, which are being used in Nokia's products
-We developed a new algorithm for detecting anomalies in telecommunication data sets for Nokia - Bell Labs, which won the Pro Progressio Foundation Innovation Grand Prize, the IT Business Innovation Award and the product that uses the algorithm won the 5G World Summit "Most Innovative Artificial Intelligence or Machine Learning Technology for the Network" award
-We developed fast and numerically stable algorithms for the analysis of multi-class non-Markovian queuing systems
-We provided analytical results for V2V message propagation speed in a highway environment
-Development of efficient MU-MIMO communication systems
-Laplace transforms are used in many engineering fields, but inverse transforms are notoriously difficult. Our published method based on concentrated matrix exponential functions is the best algorithm currently available for this purpose

Publications

N/A

Journals

STOCHASTIC MODELS
IEEE TRANSACTIONS ON COMMUNICATIONS
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
ANNALS OF OPERATIONS RESEARCH
PERFORMANCE EVALUATION
MATHEMATICS
IEEE WIRELESS COMMUNICATIONS LETTERS
ADVANCES IN APPLIED PROBABILITY
Queueing Models and Service Management
QUEUEING SYSTEMS
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
APPLIED ECONOMICS
COMPUTATIONAL ECONOMICS
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

Projects

N/A