• Jie Long and Abdul Khaliq, Parameter Identification for PDEs Using Sparse Interior Data and a Recurrent Neural Network, to appear in Journal, Scientific Reports, 2025
• Ebenezer O. Oluwasakin, Abdul Q.M. Khaliq, and Khaled M. Furati, Learning time-varying parameters of stiff dynamical systems using physics-informed transfer neural network, Mathematics and Computers in Simulation, 238, 82-102, 2025
• Aljowhara H. Honain, Khaled M. Furati ,Ibrahim O. Sarumi, Abdul Q.M. Khaliq, Generalized exponential time differencing for fractional oscillation models, Journal of Computational and Applied Mathematics, 461,116456, 2025.
• Ibrahim O. Sarumi, Khaled M. Furati, Abdul Q.M. Khaliq, Efficient second-order accurate exponential time differencing for time-fractional advection–diffusion–reaction equations with variable coefficients, Mathematics and Computers in Simulation, 230, 20-38, 2025
• Jie Long, A. Q. M. Khaliq, and Y. Xu. Physics-informed encoder-decoder gated recurrent neural network for solving time-dependent PDEs. Journal of Machine Learning for Modeling and Computing 5(3), 69-85, 2024
• Yuan Chen and Abdul Khaliq, Quantum Recurrent Neural Networks: Predicting the Dynamics of Oscillatory and Chaotic Systems, Algorithms, 17(4), 163, 2024
• E.O. Oluwasakin, A.Q.M. Khaliq, Data-Driven Deep Learning Neural Networks for Predicting the Number of Individuals Infected by COVID-19 Omicron Variant. Epidemiologia, 4, 420–453, 2023
• Thomas Torku, Abdul Khaliq, and Fathalla Rihan, SEINN: A deep learning algorithm for the stochastic epidemic model, Mathematical Biosciences and Engineering, Special Issue: Advanced neural networks: models, theories, and applications, 20(9), 16330-16361, 2023
• E.O. Oluwasakin, A.Q.M. Khaliq, Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters, Algorithms, 16, 547--, 2023
• Fathalla A. Rihan, K. Udhayakumar, Nicola Sottocornola, M.-Naim Anwar, and Abdul Q. M. Khaliq, Stability and Bifurcation Analysis of the Caputo Fractional-Order Asymptomatic COVID-19 Model with Multiple Time-Delays, International Journal of Bifurcation and Chaos, 33(2), 2350022, 2023
• Y.O. Afolabi, T. A.  Biala, O. S. Iyiola, A.Q.M.  Khaliq, B.A. Wade, A Second-Order Crank-Nicolson Type Scheme for Nonlinear Space - Time Reaction - Diffusion Equations on Graded Meshes. Fractal and Fractional, 7, 40-, 2023
• Ashlin P. Harris, Toheeb A. Biala, Abdul Q. M. Khaliq, Fourier spectral methods with exponential time differencing for space-fractional partial differential equations in population dynamics, Numerical Methods for Partial Differential Equations, 39(4), 2963-2974, 2023
• Ibrahim O. Sarumi, Khaled M. Furati, Kassem Mustapha, Abdul Q. M. Khaliq, Efficient high-order exponential time differencing methods for nonlinear fractional differential models, Numerical Algorithms, 92, 1261–1288 2023
• M. Yousuf, K.M. Furati, A.Q.M. Khaliq, A hybrid fourth order time stepping method for space distributed order nonlinear reaction-diffusion equations, Computers and Mathematics with Applications, 151, 116–126, 2023
• Muhammad Yousuf and Abdul Q. M. Khaliq, Partial differential integral equation model for pricing American option under multi state regime switching with jumps, Numerical Methods for Partial Differential Equations, 39(2), 890-912, 2023
• M. Yousuf and A. Q. M. Khaliq, Pricing American option using a modified Fractional Black-Scholes model under multi-state regime switching, International Journal of Theoretical and Applied Finance, 26 (04n05) 2350019, 2023
• Y. Chen, A.Q.M. Khaliq, Comparative Study of Mortality Rate Prediction Using Data-Driven Recurrent Neural Networks, and the Lee–Carter Model, Big Data and Cognitive Computing, 6, 134.2022
• S. Hansun, F.P. Putri, A.Q.M. Khaliq, H. Hugeng, on searching the best mode for forex forecasting: bidirectional long short-term memory default mode is not enough, IAES International Journal of Artificial Intelligence, 11(4), 1596-1606. 2022
•  Seng Hansun, Arya Wickson and Abdul Q. M. Khaliq, Multivariate cryptocurrency prediction:comparative analysis of three recurrent neural networks approaches, Journal of Big Data 9:50,2022, https://doi.org/10.1186/s40537-022-00601-7
•  Lin Feng, Ziren Chen, Harold A. Lay, Jr., Khaled Furati, and Abdul Khaliq, Data driven time-varying SEIR-LSTM/GRU algorithms to track the spread of COVID-19, Mathematical Bio Sciences and Engineering, 19(9), 8935–8962, 2022.
•  Ibrahim O. Sarumi, Khaled M. Furati, Kassem Mustapha, Abdul Q. M. Khaliq, Efficient high-order exponential time differencing methods for nonlinear fractional differential models, Numerical Algorithms, 2022, https://doi.org/10.1007/s11075-022-01339-2
• Ziren Chen, Lin Feng, Harold A. Lay Jr., Khaled Furati, Abdul Khaliq, SEIR model with unreported infected population and dynamic parameters for the spread of COVID-19, Mathematics and Computers in Simulation, 198, 31-46, 2022.      
• T. A. Biala, Y.O. Afolabi, A.Q.M. Khaliq, How efficient is contact tracing in mitigating the spread of COVID-19? A mathematical modeling approach, Applied Mathematical Modelling, 103, 714-730, 2022.
• Thomas K. Torku, Abdul Q. M. Khaliq, Khaled M. Furati, Deep-Data-Driven Neural Networks for COVID-19Vaccine Efficacy, Epidemiologia, 2(4), 564–586, 2021.  

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