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Assist. Prof. Dr. Morteza Garshasbi | Applied mathematics | Excellence in Research

Assist. Prof. Dr at Iran University of Science and Technology,  United States

Morteza Garshasbi, Ph.D., is an Assistant Professor at Iran University of Science and Technology (IUST), specializing in applied mathematics and numerical solutions for partial differential equations (PDEs). With over 15 years of academic experience, he has contributed to both teaching and research in computational mathematics, inverse problems, and mathematical modeling. He has supervised numerous graduate and undergraduate students and published several books and research papers. Additionally, Garshasbi has held leadership roles, including Director of e-learning courses and the Office of International Students at IUST. He is an active peer reviewer for several academic journals.

Profile

Orcid

Scholar

🎓 Education

Ph.D., Applied Mathematics, Iran University of Science and Technology (2008). M.Sc., Applied Mathematics, Iran University of Science and Technology (2003). B.Sc., Applied Mathematics, Iran University of Science and Technology (2001) His dissertation focused on regularization and decomposition methods applied to parabolic PDEs. Garshasbi’s academic background reflects his deep expertise in mathematical modeling, computation, and problem-solving, paving the way for his distinguished academic career.

💼 Experience

Garshasbi has served as an Assistant Professor at both Iran University of Science and Technology (2014-2024) and Damghan University (2008-2014). At IUST, he contributed to curriculum development, taught undergraduate and graduate courses, and supervised many students. He held several leadership roles, including Director of short-term courses and international student affairs. His research activities, publication record, and conference presentations showcase his ongoing commitment to advancing computational mathematics and fostering academic growth.

🏅 Awards and Honors

First-class honors in B.Sc., M.Sc., and Ph.D. Outstanding Ph.D. student at IUST (2008) Outstanding member of the Iranian National Elite Institute (2009) INEI Young Assistant Grant ($25,000) (2010). Outstanding researcher at Damghan University (2010). Outstanding teacher at IUST (2022)

🔬 Research Focus

Garshasbi’s research spans computational mathematics, numerical solutions for PDEs, and inverse problems. His work focuses on regularization and variational methods, applied to solving complex mathematical models in fields such as mathematical biology and data analysis. He explores systems of linear algebraic equations and integral equations, contributing to the development of computational tools for solving real-world scientific problems, particularly in the context of PDEs and mathematical modeling.

Conclusion

Dr. Morteza Garshasbi is a highly accomplished and dedicated researcher and educator in applied mathematics. His work on numerical methods for PDEs, integral equations, and inverse problems is pioneering, and his leadership roles reflect his influence within the academic community. With continued expansion into interdisciplinary research and broader international collaboration, Dr. Garshasbi’s contributions will undoubtedly continue to shape the future of computational mathematics. His scholarly achievements, teaching excellence, and commitment to mentoring the next generation of mathematicians make him a deserving candidate for recognition in the field of research excellence.

Publication

  • A weighted algorithm based on Adomian decomposition method for solving a special class of evolution equations
    • Published: Communications in Nonlinear Science and Numerical Simulation
    • Year: 2009
    • Cited by: 31

 

  • Estimation of unknown boundary functions in an inverse heat conduction problem using a mollified marching scheme
    • Published: Numerical Algorithms
    • Year: 2015
    • Cited by: 27

 

  • Note on using radial basis functions and Tikhonov regularization method to solve an inverse heat conduction problem
    • Published: Engineering Analysis with Boundary Elements
    • Year: 2009
    • Cited by: 23

 

  • Using artificial neural networks in solving heat conduction problems
    • Published: International Journal of Operations Research
    • Year: 2015
    • Cited by: 11

 

  • A numerical procedure for estimation of the melt depth in laser material processing
    • Published: Optics & Laser Technology
    • Year: 2009
    • Cited by: 10

 

  • A method for solving an inverse biharmonic problem
    • Published: Journal of Mathematical Analysis and Applications
    • Year: 2005
    • Cited by: 10

 

  • Development of a computational approach for a space–time fractional moving boundary problem arising from drug release systems
    • Published: Computational and Applied Mathematics
    • Year: 2021
    • Cited by: 9

 

  • Boundary temperature reconstruction in an inverse heat conduction problem using boundary integral equation method
    • Published: Bulletin of the Iranian Mathematical Society
    • Year: 2016
    • Cited by: 9

 

  • A numerical treatment of a reaction-diffusion model of spatial pattern in the embryo
    • Published: Computational Methods for Differential Equations
    • Year: 2016
    • Cited by: 9

 

  • A variable time-step method for a space fractional diffusion moving boundary problem: An application to planar drug release devices
    • Published: International Journal of Numerical Modelling
    • Year: 2021
    • Cited by: 8

 

  • An iterative approach to solve a nonlinear moving boundary problem describing the solvent diffusion within glassy polymers
    • Published: Mathematical Methods in the Applied Sciences
    • Year: 2020
    • Cited by: 8

 

  • The RBF collocation method of lines for the numerical solution of the CH-γ equation
    • Published: Journal of Advanced Research in Dynamical and Control Systems
    • Year: 2015
    • Cited by: 8

 

Morteza Garshasbi | Applied mathematics | Excellence in Research

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