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Pakchin et al. / IJOCTA, Vol.15, No.3, pp.535-548 (2025)

                order time fractional partial differential equa-  Mohammad Hossein Derakhshan holds a
                tions. Appl Numer Math. 2019;136:152-162.     Ph.D. and five postdoctoral degrees from K. N.
                https://doi.org/10.1016/j.apnum.2018.09.019   Toosi University of Technology and University of
                                                              Tabriz. His expertise lies in numerical analysis
                                                              and differential equations, and he has successfully
                                                              completed advanced courses in these fields. Dr.
            Safar Irandoust Pakchin, after the complet-       Derakhshan applies mathematical modeling, nu-
            ing his Ph.D. in Mathematics at the Faculty of    merical methods, and differential equations, es-
            Mathematics, Statistics and Computer Sciences,    pecially in fractional-order and distributed-order
            University of Tabriz, Iran, in July 2012, he en-  systems, to solve complex scientific and engineer-
            gaged as an Assistant Professor at Department     ing problems.
            of Applied Mathematics, Faculty of Mathematics,      https://orcid.org/0000-0001-6464-7338
            Statistics and Computer Sciences, University of
            Tabriz, Iran, in February 2013 until now. His     Shahram Rezapour is a professor of mathe-
            research areas include partial differential equa-  matics at Azarbaijan Shahid Madani University,
            tions, fractional differential equations, fractional  Tabriz, Iran, and holds a visiting professor posi-
            stochastic integro-differential equations, and im-  tion at China Medical University, Taichung, Tai-
            age and signal processing. He has developed spec-  wan. He also held an eminent scholarship posi-
            tral methods, especially wavelets, and fractional  tion at Kyung Hee University, Seoul, Republic of
            linear multistep methods.                         Korea, in 2023.
               http://orcid.org/0000-0001-9548-4762              http://orcid.org/0000-0003-3463-2607




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