Rida A.
Mid-Level Numerical Analysis Research Associate
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Rida A. is a Research Associate specializing in numerical analysis and model implementation at the Technical University of Dortmund’s Chair of Applied Mathematics and Numerics LSIII. Since 2017, she has focused on quantitative research and computational modeling in applied mathematics, specifically within the domains of dynamic polymer behavior and viscoelastic fluid simulation. Her work includes developing and optimizing large-scale simulations in C++, improving computational efficiency by 40%, and integrating heterogeneous data sources to enhance model accuracy by 25%. Rida has taught university courses on computational fluid dynamics, advanced engineering mathematics, and numerical solutions for differential equations, utilizing MATLAB and Python extensively. She has published in peer-reviewed journals on simulation techniques and numerical studies of complex fluid systems. Holding a doctorate in applied mathematics, Rida brings expertise in data-driven modeling, high-performance computing, and rigorous research methodologies within academic and engineering contexts.
Experience
Instructor: Tutorial Sessions (in person & online sessions)
Chair of Applied Mathematics and Numerics LSIII, Technical University of Dortmund · 2018 — 2026Conducted tutorial sessions focusing on computational fluid dynamics (CFD), advanced engineering mathematics, numerical solutions for differential equations, and numerical methods for partial differential equations. Utilized MATLAB as a key tool in instructional delivery.Research Associate: Numerical Analysis & Model Implementation
Chair of Applied Mathematics and Numerics LSIII, Technical University of Dortmund · 2017 — PresentEngaged in the phenomenological description of dynamic polymer behavior using viscous fractional relaxation and creep elements. Focused on developing deterministic and stochastic models to investigate complex dynamic systems, while enhancing predictive performance through computational experimentation. Executed large-scale simulations in C++, resulting in improved computational efficiency. Integrated diverse data sources to boost model accuracy, validating model performance with structured testing. Communicated research outcomes to interdisciplinary teams, translating intricate mathematical results into clear insights.
Skills & Expertise
Education
- Doctorate in Applied MathematicsTechnical University of Dortmund, Germany · 2017 — 2024
- M.Sc. Applied MathematicsNational University of Sciences and Technology, Islamabad, Pakistan · 2014 — 2016
- B.Sc. Pure and Applied MathematicsNational University of Sciences and Technology, Islamabad, Pakistan · 2010 — 2014