Nadia Peycheva Zlateva

Nadia Peycheva Zlateva is a Professor at the Department of Probability, Operations Research and Statistics within the Faculty of Mathematics and Informatics at Sofia University. She holds a DSc degree and maintains an active research profile in mathematical optimization and variational analysis, with office FMI-513 and contact details zlateva@fmi.uni-sofia.bg / +359 2 8161-504.

Education:

• PhD in Mathematics (1997, Sofia University)
• DSc in Mathematics (2017, Sofia University)

Research Focus: Professor Zlateva specializes in Variational Analysis, Nonlinear and Nonsmooth Analysis, Subdifferential Calculus, and Optimization. Her work establishes foundational connections between generalized differentiation and optimization theory, particularly through Clarke-Ledyaev inequalities and metric regularity frameworks. She integrates functional analysis with optimization to solve complex nonsmooth problems.

Publication Trends: Recent work (2020-2025) demonstrates sustained focus on metric regularity in Fréchet spaces, inverse function theorems, and perturbation methods. Collaborations with Ivanov, Quincampoix, and Topalova dominate her output, appearing in top-tier journals like Journal of Convex Analysis and SIAM Journal on Optimization. Her research consistently bridges abstract variational principles with computational applications.

Research Funding:

• EuroCC2 project (2023-2026, Grant 101101903)
• EUMaster4HPC (2022-2025, Project 101051997)
• EuroCC project (2020-2022, Grant 951732)
• Big Data for Smart Society GATE (2017-2018, Project 763566)
• Evolution equations project (2002-2006, Project HPRN-CT-2002-00281)

Academic Leadership: She teaches core courses including Operations Research, Linear Programming, and Nonlinear Optimization while directing major European computational science initiatives. Her methodology combines theoretical rigor in subdifferential calculus with practical high-performance computing applications through EuroHPC projects.