معرفی
Michael V. Boutsikas is an Associate Professor in the Department of Statistics and Insurance Science at the University of Piraeus, Greece. Since 2000 he has held progressively senior academic posts, beginning as Lecturer and becoming tenured Assistant Professor before his promotion to Associate Professor in 2016.
He earned his Diploma (1995), M.Sc. (1998) and Ph.D. (2000) in Mathematics from the University of Athens, all awarded with distinction.
His research lies at the intersection of applied probability, actuarial science and reliability theory. Core interests include risk models, stochastic dependence, probability metrics, extreme value theory, scan statistics, urn models and compound Poisson approximation. These themes are unified by the aim of quantifying and bounding the behaviour of complex stochastic systems.
Across more than twenty-five peer-reviewed articles published in leading journals such as The Annals of Applied Probability, Journal of Applied Probability, Bernoulli, Insurance: Mathematics and Economics and Naval Research Logistics, a clear trajectory emerges: developing sharp approximations and limit theorems for rare events, system reliability, and aggregate claims in risk processes.
While the text does not list formal awards, it notes that his work has attracted at least 150 citations from international journals and monographs and that he maintains an h-index of 9. He is an active referee for more than twenty journals and a reviewer for Mathematical Reviews.
Teaching duties span undergraduate courses (Risk Management, Stochastic Processes, Simulation) and postgraduate offerings (Simulation Methods, Extreme Price Theory, Stochastic Financial Models). He has also authored sixteen sets of detailed teaching notes and lecture notes covering reliability, risk management and statistical software.
No specific doctoral students or grant details are provided, but his long-standing presence and prolific output indicate sustained supervisory and research funding activity within the Department of Statistics and Insurance Science.
