Fazlollah Soleymani pursued a postdoctoral fellowship at the Polytechnic University of Valencia in Spain under the Marie Curie Action - FP7 scholarship. In 2017, he began his work at the Institute for Advanced Studies in Basic Sciences (IASBS) in Iran. Subsequently, in 2023, he joined East China Normal University in Shanghai, China, as a research associate. Soleymani's primary research interests lie in computational mathematics, evidenced by his Scopus h-index of 27 as of October 2024. His recent work encompasses various problem domains, including RBF(-HFD) meshfree schemes for financial partial (integro-) differential equations, high-order iterative methods, numerical solutions of stochastic ODEs, risk management using various risk measures, and the application of machine learning in finance.
Computational Finance; Iterative Methods; Computational Mathematics; Stochastic Differential Equations
Calculus I-II (B.Sc. Level)
Ordinary Differential Equations (B.Sc. Level)
Fundamentals of Probability I-II (B.Sc. Level)
Numerical Methods in Finance I-II (M.Sc. Level)
Advanced Numerical Analysis I-II (M.Sc. Level)
Delay Differential Equations I (M.Sc. Level)
Advanced Mathematical Software (M.Sc. Level)
Financial Mathematics Seminar (M.Sc. Level)
Financial Time Series (M.Sc. Level)
Introduction to Financial Markets (M.Sc. Level)
Numerical Methods for Stochastic Differential Equations (Ph.D. Level)
Advanced Numerical Differential Equation Solving in Mathematica (Ph.D. Level)
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