
About
Alexey Kuznetsov is a Full Professor in the Department of Mathematics and Statistics at York University, part of the Faculty of Science. His research focuses on stochastic processes, special functions, computational mathematics, and applications in financial/actuarial mathematics. He has contributed to areas such as approximation theory, zeta functions, and probability theory.
His work spans theoretical advances in special functions (e.g., Barnes G-function, Riemann zeta function) and stochastic models with applications in physics and finance. Recent research includes studies on KPZ universality, Darboux transformations, and numerical algorithms for complex analysis.
Key contributions include papers on series expansions for zeros of the deformed exponential function and dual representations of Laplace transforms. His work often bridges pure mathematics with computational methods, reflecting his interdisciplinary approach.
No academic awards were explicitly mentioned in the provided texts. His research has been supported by grants and collaborations, though specific grants are not listed here.
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