Abdul Khaliq

Dr. Abdul Khaliq is a Professor in the Department of Mathematical Sciences at Middle Tennessee State University (MTSU). With a career spanning decades, he specializes in developing Numerical Methods for complex systems including Partial Differential Equations (PDEs), Fractional PDEs, and Stochastic Differential Equations. His work bridges applied mathematics and computational science, focusing on applications in Financial Mathematics, Biochemical Systems, and Public Health Modeling.

• Ph.D. in Mathematics, Brunel University London (1983)
• M.Sc. in Numerical Analysis, Brunel University London (1981)
• M.Sc. in Mathematics, Quaid-i-Azam University (1977)

Research Interests include:

• Numerical Analysis of large-scale systems
• Scientific Computing with deep learning integration
• Computational Finance for high-dimensional derivatives
• Fractional Calculus applications in epidemiology
• High-Performance Computing for financial and physical systems

Article Trends reflect his interdisciplinary expertise in fractional PDEs, stochastic modeling, and machine learning algorithms for financial and epidemiological forecasting. Recent works focus on quantum neural networks for time-dependent systems and physics-informed encoder-decoder architectures for parameter learning.

Scientific Awards:

• MTSU Distinguished Research Award (2015-2016, 2007-2008)
• Excellence in Professional Service, College of Basic and Applied Sciences (2010-2011, 2006-2007)
• Faculty Excellence in Research, Western Illinois University (2001-2002)

Teaching includes courses in Scientific Computing (COMS6500) and Mathematics of Investment (ACSI4200). He leads Ph.D. dissertation research (COMS7060) and Independent Study (MATH7060).

Leadership roles include Editor-in-Chief of the International Journal of Computer Mathematics and Associate Editor positions at multiple journals. He has organized numerous SIAM Mini-Symposia on fractional PDEs and computational finance.