Dr. Mohammad Tabanjeh is a professor of Mathematics in the Department of Mathematics at Virginia State University with nearly more than 23 years of experiences in teaching and research. His research focuses on the Algebraic and Numerical computations with dense, structured matrices and fast algorithms with applications to polynomials and rational evaluations and interpolations, signal processing, control, linear system theory, and Eigenvalue problems. Dr. Tabanjeh has published numerous papers and made several presentations at local, national, and international conferences such as the MAA, AMS, SIAM, and ISSAC. He has supervised more than 12 masters’ theses and PhD dissertations and serves as editor for Theoretical and Computer Science Journal and Advances in Linear Algebra and Matrix Theory Journal. He has taught a wide range of courses at both the undergraduate and the graduate level across the math curriculum such as Calculus, Linear Algebra, Numerical Analysis, Abstract Algebra, Number Theory, and Special Topics in Computational Mathematics . He served as a director of the graduate program in mathematics and has developed several new courses in mathematics. Dr. Tabanjeh has received an outstanding teaching award and Star award in teaching for his dedication to students’ learning.
Tabanjeh, M., New Approach for the Inversion of Structured Matrices Via Newton's Iteration. Journal of Advances in Linear Algebra and Matrix Theory, Vol. 5, No. 1.
Tabanjeh, M., Combining Algebraic and Numerical Techniques for Computing Matrix Determinant. American Journal of Computational Mathematics, Vol. 4, No. 5, 464-473. http://dx.doi.org/10.4236/ajcm.2014.45039
Tabanjeh, M. (with Wang et al), Robot Navigation Using Radio Signal in Wireless Sensor Net- works, Proceeding of the 6th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 83-88, Chicago, Illinois, Sept 14-18.
Tabanjeh, M., Fast and Numerically Stable Approximate Solution of Trummer's Problem. American Journal of Computational Mathematics, Vol. 4, No. 5, 387-395. http://dx.doi.org/10.4236/ajcm.2014.45033
Tabanjeh M. (with Pan), The Schur Aggregation for Solving Linear Systems of Equations, Proceedings of the Third International Workshop on Symbolic-Numeric Computation (SNC'07), July 2007, London, Ontario, Canada. (Jan Verschelde and Stephen Watt, editors), 180-188, ACM Press, New York.