Fazlollah Soleymani pursued a postdoctoral fellowship at the Polytechnic University of Valencia, 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.
Research Keywords & Expertise
Computational Finance
Computational Mathemat...
numerical methods
High-Order Iterative M...
Stochastic Computing
Fingerprints
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numerical methods
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Computational Finance
Short Biography
Fazlollah Soleymani pursued a postdoctoral fellowship at the Polytechnic University of Valencia, 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.
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