Global extrapolation of numerical methods. - A. Q. M. Khaliq; Edward H. Twizell (Conference on Numerical Ordinary Differential Equations, 1989)

A Parallel Fourth Order Method for Second Order Hyperbolic Partial Differential Equations. - Abdul-Qayyum M. Khaliq; Dave A. Voss (PPSC, 1993)

Time-stepping algorithms for semidiscretized linear parabolic PDEs based on rational approximants with distinct real poles. - Dave A. Voss; Abdul-Qayyum M. Khaliq (Adv. Comput. Math., 1996)

A Non-Overlapping Implicit Predictor-Corrector Scheme for Parabolic Equations. - Daoud S. Daoud; Abdul-Qayyum M. Khaliq; Bruce A. Wade (PDPTA, 2000)

Parallel Rosenbrock Methods for Chemical Systems. - Dave A. Voss; Abdul-Qayyum M. Khaliq (Comput. Chem., 2001)

Modified arc-length adaptive algorithms for degenerate reaction-diffusion equations. - Qin Sheng; A. Q. M. Khaliq (Appl. Math. Comput., 2002)

A Fourth Order -stable Method for the Black-Scholes Model with Barrier Options. - Dave A. Voss; Abdul-Qayyum M. Khaliq; S. H. K. Kazmi; H. He (ICCSA (3), 2003)

Numerical simulation of two-dimensional sine-Gordon solitons via a split cosine scheme. - Qin Sheng; Abdul-Qayyum M. Khaliq; Dave A. Voss (Math. Comput. Simul., 2005)

On the monotonicity of an adaptive splitting scheme for two-dimensional singular reaction-diffusion equations. - Abdul-Qayyum M. Khaliq; Qin Sheng (Int. J. Comput. Math., 2007)

Preface: Splitting methods for differential equations. - Qin Sheng; Abdul-Qayyum M. Khaliq (Int. J. Comput. Math., 2007)

Editorial. - Abdul-Qayyum M. Khaliq; Qin Sheng; David A. Voss (Int. J. Comput. Math., 2009)

High-order compact scheme for solving nonlinear Black-Scholes equation with transaction cost. - Wenyuan Liao; Abdul Q. M. Khaliq (Int. J. Comput. Math., 2009)

The numerical approximation of nonlinear Black-Scholes model for exotic path-dependent American options with transaction cost. - Muhammad S. Yousuf; A. Q. M. Khaliq; Britta Kleefeld (Int. J. Comput. Math., 2012)

Higher order exponential time differencing scheme for system of coupled nonlinear Schrödinger equations. - Harish P. Bhatt; Abdul Q. M. Khaliq (Appl. Math. Comput., 2014)

Exponential time differencing Crank-Nicolson method with a quartic spline approximation for nonlinear Schrödinger equations. - Xiao Liang; Abdul-Qayyum M. Khaliq; Qin Sheng (Appl. Math. Comput., 2014)

Stabilized explicit Runge-Kutta methods for multi-asset American options. - J. Martín-Vaquero; A. Q. M. Khaliq; Britta Kleefeld (Comput. Math. Appl., 2014)

Split-step Adams-Moulton Milstein methods for systems of stiff stochastic differential equations. - David A. Voss; Abdul-Qayyum M. Khaliq (Int. J. Comput. Math., 2015)

Pricing American options under multi-state regime switching with an efficient L- stable method. - Muhammad S. Yousuf; Abdul-Qayyum M. Khaliq; R. H. Liu (Int. J. Comput. Math., 2015)

The locally extrapolated exponential time differencing LOD scheme for multidimensional reaction-diffusion systems. - Harish P. Bhatt; Abdul Q. M. Khaliq (J. Comput. Appl. Math., 2015)

Fourth-order compact schemes for the numerical simulation of coupled Burgers' equation. - Harish P. Bhatt; Abdul-Qayyum M. Khaliq (Comput. Phys. Commun., 2016)

A real distinct poles Exponential Time Differencing scheme for reaction-diffusion systems. - E. O. Asante-Asamani; A. Q. M. Khaliq; Bruce A. Wade (J. Comput. Appl. Math., 2016)

A compact fourth-order L-stable scheme for reaction-diffusion systems with nonsmooth data. - Harish P. Bhatt; A. Q. M. Khaliq (J. Comput. Appl. Math., 2016)

Recent advances in numerical methods for systems of partial differential equations. - Abdul Q. M. Khaliq; JaEun Ku; Qin Sheng (J. Comput. Appl. Math., 2016)

Local RBF method for multi-dimensional partial differential equations. - Imtiaz Ahmad; Siraj-ul-Islam; Abdul Q. M. Khaliq (Comput. Math. Appl., 2017)

A conservative exponential time differencing method for the nonlinear cubic Schrödinger equation. - Athanassios G. Bratsos; A. Q. M. Khaliq (Int. J. Comput. Math., 2017)

Trapezoidal scheme for time-space fractional diffusion equation with Riesz derivative. - Sadia Arshad; Jianfei Huang; Abdul Q. M. Khaliq; Yifa Tang (J. Comput. Phys., 2017)

A fourth-order implicit-explicit scheme for the space fractional nonlinear Schrödinger equations. - A. Q. M. Khaliq; X. Liang; Khaled M. Furati (Numer. Algorithms, 2017)

The locally extrapolated exponential splitting scheme for multi-dimensional nonlinear space-fractional Schrödinger equations. - X. Liang; A. Q. M. Khaliq; Harish P. Bhatt; Khaled M. Furati (Numer. Algorithms, 2017)

Efficient Krylov-based exponential time differencing method in application to 3D advection-diffusion-reaction systems. - Harish P. Bhatt; A. Q. M. Khaliq; Bruce A. Wade (Appl. Math. Comput., 2018)

Linearly implicit predictor-corrector methods for space-fractional reaction-diffusion equations with non-smooth initial data. - A. Q. M. Khaliq; Toheeb Biala; S. S. Alzahrani; Khaled M. Furati (Comput. Math. Appl., 2018)

An efficient Fourier spectral exponential time differencing method for the space-fractional nonlinear Schrödinger equations. - Xiao Liang; Abdul Q. M. Khaliq (Comput. Math. Appl., 2018)

Solving complex PIDE systems for pricing American option under multi-state regime switching jump-diffusion model. - Muhammad S. Yousuf; A. Q. M. Khaliq; Salah Alrabeei (Comput. Math. Appl., 2018)

Preface. - Khaled M. Furati; Abdul Q. M. Khaliq; Changpin Li; Mohsen Zayernouri (Int. J. Comput. Math., 2018)

Fourth-order methods for space fractional reaction-diffusion equations with non-smooth data. - Khaled M. Furati; Muhammad S. Yousuf; A. Q. M. Khaliq (Int. J. Comput. Math., 2018)

Efficient time discretization scheme for nonlinear space fractional reaction-diffusion equations. - Olaniyi Samuel Iyiola; E. O. Asante-Asamani; Khaled M. Furati; A. Q. M. Khaliq; Bruce A. Wade (Int. J. Comput. Math., 2018)

Parallel algorithms for nonlinear time-space fractional parabolic PDEs. - Toheeb Biala; A. Q. M. Khaliq (J. Comput. Phys., 2018)

On the implementation of multilevel Monte Carlo simulation of the stochastic volatility and interest rate model using multi-GPU clusters. - Harold A. Lay; Zane Colgin; Viktor Reshniak; Abdul Q. M. Khaliq (Monte Carlo Methods Appl., 2018)

High-order time stepping Fourier spectral method for multi-dimensional space-fractional reaction-diffusion equations. - S. S. Alzahrani; A. Q. M. Khaliq (Comput. Math. Appl., 2019)

Fourier spectral exponential time differencing methods for multi-dimensional space-fractional reaction-diffusion equations. - Saham S. Alzahrani; Abdul Q. M. Khaliq (J. Comput. Appl. Math., 2019)

An exponential time differencing method of lines for Burgers-Fisher and coupled Burgers equations. - Athanassios G. Bratsos; A. Q. M. Khaliq (J. Comput. Appl. Math., 2019)

Slow-scale split-step tau-leap method for stiff stochastic chemical systems. - Viktor Reshniak; Abdul Q. M. Khaliq; David A. Voss (J. Comput. Appl. Math., 2019)

High-order time-stepping methods for two-dimensional Riesz fractional nonlinear reaction-diffusion equations. - Muhammad S. Yousuf; Khaled M. Furati; A. Q. M. Khaliq (Comput. Math. Appl., 2020)

Highly Accurate Global Padé Approximations of Generalized Mittag-Leffler Function and Its Inverse. - Ibrahim O. Sarumi; Khaled M. Furati; Abdul Q. M. Khaliq (J. Sci. Comput., 2020)

Efficient high-order compact exponential time differencing method for space-fractional reaction-diffusion systems with nonhomogeneous boundary conditions. - Harish P. Bhatt; A. Q. M. Khaliq; Khaled M. Furati (Numer. Algorithms, 2020)

A fractional-order compartmental model for the spread of the COVID-19 pandemic. - Toheeb Biala; A. Q. M. Khaliq (Commun. Nonlinear Sci. Numer. Simul., 2021)

Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach. - Jie Long; A. Q. M. Khaliq; Khaled M. Furati (Int. J. Comput. Math., 2021)

Generalized Exponential Time Differencing Schemes for Stiff Fractional Systems with Nonsmooth Source Term. - Ibrahim O. Sarumi; Khaled M. Furati; Abdul Q. M. Khaliq; Kassem Mustapha 001 (J. Sci. Comput., 2021)

A granular recurrent neural network for multiple time series prediction. - Stefania Tomasiello; Vincenzo Loia; Abdul Q. M. Khaliq (Neural Comput. Appl., 2021)

Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks and the Lee-Carter Model. - Yuan Chen; Abdul Q. M. Khaliq (Big Data Cogn. Comput., 2022)

Multi-variant COVID-19 model with heterogeneous transmission rates using deep neural networks. - K. D. Olumoyin; A. Q. M. Khaliq; Khaled M. Furati (CoRR, 2022)

Fourier Spectral Methods with Exponential Time Differencing for Space-Fractional Partial Differential Equations in Population Dynamics. - A. P. Harris; T. A. Biala; Abdul-Qayyum M. Khaliq (CoRR, 2022)

Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches. - Seng Hansun; Arya Wicaksana; Abdul Q. M. Khaliq (J. Big Data, 2022)

SEIR model with unreported infected population and dynamic parameters for the spread of COVID-19. - Ziren Chen; Lin Feng; Harold A. Lay Jr.; Khaled M. Furati; Abdul-Qayyum M. Khaliq (Math. Comput. Simul., 2022)

Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters. - Ebenezer O. Oluwasakin; Abdul Q. M. Khaliq (Algorithms, 2023)

Rational Approximations for Oscillatory Two-Parameter Mittag-Leffler Function. - Aljowhara H. Honain; Khaled M. Furati; Ibrahim O. Sarumi; Abdul Q. M. Khaliq (CoRR, 2023)

Efficient high-order exponential time differencing methods for nonlinear fractional differential models. - Ibrahim O. Sarumi; Khaled M. Furati; Kassem Mustapha 001; Abdul Q. M. Khaliq (Numer. Algorithms, 2023)

Stability and Bifurcation Analysis of the Caputo Fractional-Order Asymptomatic COVID-19 Model with Multiple Time-Delays. - Fathalla A. Rihan; K. Udhayakumar 001; Nicola Sottocornola; M. Naim Anwar; Abdul Q. M. Khaliq (Int. J. Bifurc. Chaos, 2023)

A hybrid fourth order time stepping method for space distributed order nonlinear reaction-diffusion equations. - Muhammad S. Yousuf; Khaled M. Furati; A. Q. M. Khaliq (Comput. Math. Appl., 2023)

Quantum Recurrent Neural Networks: Predicting the Dynamics of Oscillatory and Chaotic Systems. - Yuan Chen; A. Q. M. Khaliq (Algorithms, 2024)

Generalized exponential time differencing for fractional oscillation models. - Aljowhara H. Honain; Khaled M. Furati; Ibrahim O. Sarumi; Abdul Q. M. Khaliq (J. Comput. Appl. Math., 2025)

Learning time-varying parameters of stiff dynamical systems using physics-informed transfer neural network. - Ebenezer O. Oluwasakin; Abdul Q. M. Khaliq; Khaled M. Furati (Math. Comput. Simul., 2025)

Efficient second-order accurate exponential time differencing for time-fractional advection-diffusion-reaction equations with variable coefficients. - Ibrahim O. Sarumi; Khaled M. Furati; Abdul Q. M. Khaliq (Math. Comput. Simul., 2025)

Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations. - Yuan Chen; Abdul Q. M. Khaliq; Khaled M. Furati (CoRR, 2025)