Dr. Majeed Ahmad Yousif, University of Zakho, Iraq

Dr. Majeed Ahmad Yousif is a dedicated researcher and lecturer in Mathematics at the University of Zakho in Duhok, Iraq, where he has been contributing to academia since October 25, 2011. Currently pursuing a Ph.D. in Mathematics at the same institution, Dr. Yousif focuses his research on Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His scholarly work aims to advance computational techniques for solving intricate mathematical problems, particularly in fluid mechanics and differential equations, making notable contributions to the field of numerical analysis.

Professional Profile:

Orcid

 Education:

Dr. Majeed Ahmad Yousif is currently pursuing a Ph.D. in Mathematics at the University of Zakho in Duhok, Iraq. His academic journey underscores his dedication to advancing knowledge in mathematics, focusing on specialized research and scholarly pursuits at the university.

Employment:

Dr. Majeed Ahmad Yousif has been a dedicated Lecturer in Mathematics at the University of Zakho in Duhok, Iraq, since October 25, 2011. With over a decade of experience in academia, he has contributed significantly to the university’s educational mission, imparting knowledge and fostering intellectual growth among students. Dr. Yousif’s commitment to mathematics education underscores his passion for teaching and his role in shaping the next generation of scholars in Iraq.

 Research Focus:

Dr. Majeed Ahmad Yousif is a distinguished researcher specializing in Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His expertise lies in advancing computational techniques to solve complex mathematical problems, particularly in fluid mechanics and differential equations. Dr. Yousif’s research contributions have significantly impacted the field of numerical analysis, emphasizing innovative approaches to enhance accuracy and efficiency in computational modeling and simulations.

Publication Top Note:

• Title: Efficient Simulation of Time-Fractional Korteweg-de Vries Equation via Conformable-Caputo Non-Polynomial Spline Method

  • Date: 2024-06-26

• Title: A Computational Study of Time-Fractional Gas Dynamics Models by Means of Conformable Finite Difference Method

  • Date: 2024-06-19

• Title: On Multiple-Type Wave Solutions for the Nonlinear Coupled Time-Fractional Schrödinger Model

  • Date: 2024-05-03

• Title: The Fractional Non-Polynomial Spline Method: Precision and Modeling Improvements

  • Date: 2024-04

• Title: Some New Fractional Inequalities Defined Using cr-Log-h-Convex Functions and Applications

  • Date: 2024-04-01

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