Mohamed B. Romdhane

Mohamed B. Romdhane

Head of Math & Sc. Dept. , Associate ProfessorE000866
Romdhane.M@gust.edu.kw
7484
W1-172
Mathematics & Science Department

Awards & Grants

3

Journal Articles

18

Conference Papers

1

Others

0

About the Faculty Member

Mohamed Ben-Romdhane is an Associate Professor of Applied Mathematics at the Department of Mathematics and Natural Sciences. He received his bachelor degree as a Multidisciplinary Engineer (2007) from Tunisia Polytechnic School. He also received, from the same school, a Master of Science in Engineering Mathematics (2008). He received another Master of Science in Mathematics (2009) and received his PhD degree in Mathematics (2011) both from Virginia Polytechnic Institute and State University (Virginia Tech), USA. He worked as instructor at Virginia Tech and as an adjunct instructor at Radford University. He also worked as a post-doctoral research fellow at King Abdullah University of Sciences and Technologies (KAUST), KSA, within the Geometric Modeling & Scientific Visualization Center. He joined GUST in September 2012 as an Assistant Professor and he has been promoted to the Associate Professor rank, since 2020. His research covers a variety of areas related to Applied and Computational Mathematics such as: Numerical solutions for Nonlinear Ordinary Differential Equations and Partial Differential Equations, Stochastic Differential Equations, the Finite Element Method and the Finite Difference Method, Numerical Analysis, Scientific Computing, Computational Mechanics, and Interface Problems.

Teaching Interest(s)

Analytic Geometry & Calculus (I, II, and III), Differential Equations, Numerical Analysis, Applied Statistics, Basic Probability & Statistics, Basic Calculus, College Algebra.

Expertise Area(s)

Applied and Computational Mathematics, Numerical Analysis, Numerical Methods for Partial Differential Equations, Numerical Methods for Nonlinear Ordinary Differential Equations, Stochastic Differential Equations, Finite Element Method, Finite Difference Method, Interface Problems, Computational Mechanics, and Scientific Computing.