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Dr Mohammad Al-Khaleel

Dr. Mohammad Al-Khaleel

Assistant Professor of Mathematics, Department of Applied Mathematics and Sciences

Address: P.O. Box: 127788, Abu Dhabi, UAE

Telephone: +971-2-401 8445  

Fax: +971-(0)2-4472442 

Email:  

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Dr. Mohammad Al-Khaleel received an MSc in Numerical Analysis and a PhD in Scientific Computing-Numerical Analysis from McGill University, Montreal, QC, Canada, in 2003 and 2007, respectively.

In 2007 he became an assistant professor of mathematics with the Department of Mathematics, Yarmouk University, Jordan, and based on his achievements in research and teaching he was promoted to associate professor. In 2014, he took a one-year sabbatical leave to join Dhofar University in Oman as an associate professor of mathematics.

During his career Dr. Al-Khaleel has published research papers in well-known journals such as SIAM Journal of Numerical Analysis and others. He also participated in many international conferences and spent several research periods at different places such as Department of mathematics at university of Geneva, Switzerland.

He has been working on several projects on numerical solutions for differential equations as well as fast computations and efficient numerical algorithms including massive parallel algorithms for solving PDEs and large systems of ODEs such as those obtained from circuit simulations and from semi-discretized PDEs. In addition, he has been also working on projects on the existence of fixed points and coincidence points for contractive mappings in metric spaces; the usual metric space and its variants spaces such as partial, G-metric, and G-cone metric. .

  • Ph.D in Applied Mathematics, McGill University, Canada,  2007
  • M.Sc. in Applied Mathematics, McGill University, Canada, 2003
  • B.Sc. in Mathematics, Yarmouk University, Jordan, 2000
    • Calculus I; Math 111
    • Calculus II; MATH 112
    • Differential Equations and Linear Algebra; MATH 211
    • Numerical Analysis I, MATH 319
      • Efficient and Parallel Numerical Algorithms for Solving Differential Equations
      • Circuit Simulations and Computer Arithmetic
      • Functional Analysis and Fixed Point Theory

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