• 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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