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Hashemian, Seyed Ali
Quantitative Methods
PhD: Ferdowsi University of Mashhad
BIO
Ali Hashemian’s research lines focus on the interconnections between different disciplines: Computational Mechanics, Computational Geometry, Computer-Aided Design/Manufacture/Engineering (CAD/CAM/CAE), Finite Element/Volume Methods (FEM/FVM), Isogeometric Analysis (IGA), Database Generation for Deep Learning Inversion, and Engineering Optimisation. He has industrial experience in the automotive industry, CNC machining, and turbomachinery (wind and steam turbines).
Ali was the Principal Investigator (PI) in two H2020 European Union projects: the RISE Project MATHROCKS, and the Interreg POCTEFA Project PIXIL. He has also participated in several international and Spanish projects.
He received two predoctoral grants (2008–2012), two postdoctoral grants (2019–2023), and the Best Paper Award, sponsored by Elsevier, for a paper he presented in SPM 2020.
He has supervised six master’s dissertations (2018–2022), taught different graduate and postgraduate courses, organized several international mini-symposia and workshops, and reviewed articles for more than 10 JCR journals.
Research IDs:
ORCID: https://orcid.org/0000-0002-8190-222X
Google Scholar: https://rb.gy/74lzo