Mahnoor Khan

Analytical and detail-focused Mathematician skilled in statistical modeling, numerical and complex analysis, integral equations, fluid mechanics, modelling and simulation. Proficient in utilizing mathematical theories to address real-world challenges in both academic and industrial environments.

Mathematics Researcher at Department of Mathematics

Applied Numerical Analysis and Differential Equations to model dynamic systems, with improved prediction accuracy. Simulated population and fluid flow models using advanced numerical methods. Conducted deep analysis in Functional Analysis and Measure Theory.

• Applied Numerical Analysis and Differential Equations to model dynamic systems, improving prediction accuracy by 25%
• Simulated population and fluid flow models using Runge-Kutta methods and Navier-Stokes equations, enhancing system understanding
• Conducted deep analysis in Functional Analysis and Measure Theory

Research Intern at National Aerospace Science & Technology Park (NASTP) (2024-06 – 2024-08)

Simulated flight dynamics and analyzed aerodynamic data. Evaluated UAV sensor data using statistical and simulation techniques.

• Simulated flight dynamics using differential equations and numerical methods
• Analyzed aerodynamic data in MATLAB and Python for model refinement
• Evaluated UAV sensor data using statistical and simulation techniques

MPhil in Mathematics – Rawalpindi Women University (2023-09 – 2025-09)