Author Biographies

Alexander N. Dudin received his PhD degree in Probability Theory and Mathematical Statistics in 1982 from Vilnius University and Doctor of Science degree in 1992 from Tomsk University. He is the Head of the Research Laboratory of Applied Probabilistic Analysis at the Faculty of Applied Mathematics and Computer Science in Belarusian State University. He is the author of more than 470 publications including 5 books, one with Springer in 2020, and more than 120 papers in top level journals (Journal of Applied Probability, Queueing Systems, Performance Evaluation,  IEEE Transactions on Communications, IEEE Transactions on Wireless Communications,  Annals of Operations Research, Computers and Operations Research, Computer Networks,  Applied Mathematical Modelling, Mathematics, etc). He has edited more than 10 voIumes in books series for Springer. In 2013, he got Scopus Award Belarus for distinguished achievements in Mathematics.  He was the Chairman of IPC of Belarusian Winter Workshops in Queueing Theory which were held in the period 1985 – 2013 and has been the Chairman of IPC of the conference named after A.F. Terpugov since 2014. He is the member of editorial boards of more than ten Journals, serves as the member of IPC of several international conferences. He was invited for lecturing and research to USA, UK, Germany, France, the Netherlands, Japan, South Korea, India, Russia, China, Italy, and Sweden.
Sergei Dudin graduated from Belarusian State University in 2007.  In 2010, he received his PhD degree in Belarusian State University in System Analysis, Control and Information Processing and works currently as the leading scientific researcher of the Research Laboratory of Applied Probabilistic Analysis in Belarusian State University.  His main fields of interests are queueing systems with correlated arrival flows and controlled tandem models.  He has published a monograph and over 100 papers including more 80 papers cited in Scopus.
Valentina I. Klimenok received her PhD degree in Probability Theory and Mathematical Statistics in 1992 and Doctor of Science degree in 2002 from Belarusian State University. Currently, she is the Chief Scientific Researcher of the Laboratory of Applied Probabilistic Analysis in Belarusian State University. She has participated in scientific projects funded by the INTAS (European Commission), DLR (Germany), KOSEF, KRF (Korea), Ministry of Science of France. She has more  than 180 publications including 128 cited in Scopus, including research papers in journals “Queueing Systems”, “Performance Evaluation”, “Journal of Applied Probability”,  “Annals of Operations Research”, “Operations Research Letters”, “Computers and Mathematics with Applications”, “IEEE Communication Letters”, “Mathematical and Computer Modelling”, “European Transactions on Telecommunications”, “European Journal of Operational Research”, “Asia-Pacific Journal of Operational Research”, “Journal of Statistical Planning and Inference”, “Journal of Applied Mathematics and Stochastic Analysis”, “Automation and Remote Control”, “Mathematical Problems in Engineering”, etc. Fields of scientific interests: stochastic processes (including multi-dimensional Markov chains and Markov renewal processes), queues (controlled queues, queues with correlated input and service, retrial queues and queues in random environment, in particular) and their applications.
Olga S. Dudina graduated from Belarusian State University in 2007. In 2010, she received her PhD degree in Belarusian State University in Probability Theory and Mathematical Statistics.  Her PhD dissertation received an award as the best dissertation of the year in the Republic of Belarus in Natural Sciences. She works as the leading scientific researcher of the Research Laboratory of Applied Probabilistic Analysis in Belarusian State University. Her main fields of interests are queueing tandem queueing models with correlated arrival flows, non-markovian queueing systems. She has published a monograph and over 100 papers including more than 75 papers cited in Scopus.
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