معرفی
Prof. Siniša Slijepčević serves as a Full Professor in the Department of Mathematics at the Faculty of Science, University of Zagreb, where he is affiliated with the Division of Probability Theory and Mathematical Statistics. He teaches core courses including Probability and Statistics at undergraduate levels, Introduction to Actuarial Mathematics at graduate levels, and Investments and Asset Management in specialist programs.
His research bridges pure and applied mathematics, with primary focus on dynamical systems and ergodic theory applied to financial modeling. Key contributions include theoretical work on Frenkel-Kontorova models, Arnold diffusion, and variational methods, alongside practical applications in credit risk assessment, financial valuation, and business cycle analysis using Sharkovsky's theorem. Recent publications demonstrate a strategic pivot toward data science integration in finance and marketing.
Analysis of his 15 most recent publications (2000-2024) reveals a consistent trajectory from foundational dynamical systems theory toward interdisciplinary applications. Early work emphasized mathematical physics (e.g., Navier-Stokes asymptotics, Lagrangian systems), while recent research increasingly incorporates machine learning techniques for behavioral data analysis and marketing optimization, reflecting evolving industry demands in quantitative finance.
Prof. Slijepčević actively supervises doctoral research and contributes to EU-funded projects under the department's research office (including QuantiXLie and BioMedMath initiatives), though specific grant details are not publicly itemized. His teaching portfolio across four academic levels confirms ongoing mentorship in probability theory and financial mathematics.
