(03)4638800轉7904 aicenter@g.yzu.edu.tw

學系成員

Dr. Muhammad Shoaib 研究教授

  • 學歷

    BSc (1998-2000) Punjab University Lahore, Punjab, Pakistan

    MSc Mathematics (2000-2002) Punjab University Lahore, Punjab, Pakistan

    PGD Computer Science (2003-2005), Arid Agriculture University, Rawalpindi, Pakistan

    MBA HRM (2006-2008) University of the Peshawar, Pakistan

    M. Phil Mathematics (2010-2012), Riphah International University, Islamabad, Pakistan

    PhD Mathematics (2012-2016), Riphah International University, Islamabad, Pakistan

    經歷

    Language Ability:

    • Fluent in English, Urdu and Punjabi.

    Working on almost 10 articles.

    Experience:

    1. At present, I am working as Research Professor at Yuan Ze University, AI Centre, Taiwan. 
    2. Teaching Experience
      1. On the recommendations of the 35th meeting of the Selection Board held on February 7-8, 2023 and March 7, 2023 and Subsequent to the approval of the Sub-Committee of CUI Senate, I was promoted as Tenured Associate Professor in Department of Mathematics, COMSATS University Islamabad, Attock Campus, Pakistan.
      2. Assistant Professor from February 2017 to December 2022, Department of Mathematics, COMSATS University Islamabad, Attock Campus, Pakistan.
      3. BIMS (Institute of Arid Agriculture University Islamabad, One year).
      4. Riphah International University Islamabad, One year
      5. Jinnah Institute of Informatics Rawalpindi (University of the Punjab), Three years and 9 months.
      6. Supervised many Phil Mathematics and PhD students and currently supervising as well. The details are provided below:
        1. Muhammad Tauseef, M. Phil COMPLETED
        2. Wania Malik, M. Phil COMPLETED
        3. Mehroze Arshad, M. Phil COMPLETED
        4. Imrana Farhat, M. Phil COMPLETED
        5. Kainat Afzal, M. Phil COMPLETED
        6. Ghania Zubair, M. Phil COMPLETED
        7. Rafia Tabassum, M. Phil COMPLETED
        8. Iqra Naz, M. Phil COMPLETED
        9. Saba Kainat, M. Phil COMPLETED
        10. Adeeba, M. Phil in COMPLETED
        11. Naila, M. Phil in COMPLETED
        12. Fizza, M. Phil in COMPLETED
      7. Supervised four PhD students and two M. Phil students and currently supervising 4 PhD Mathematics students of Abdul Wali Khan University, Mardan, Pakistan as co-supervisor.
        1. Syed Ayaz Hussain Bukhari, PhD COMPLETED
        2. Ashfaq Ahmed, PhD COMPLETED
        3. Kashif Ullah, M. Phil COMPLETED
        4. Habib Ullah, M. Phil COMPLETED
        5. Ifitikhar Ud Din, PhD COMPLETED
        6. Fazle Subhan, PhD in progress
        7. Muhammad Riaz PhD in progress
        8. Muhammad Imtiaz PhD COMPLETED
        9. Zeeshan Khan PhD in progress
        10. Saddiqa PhD in progress
      8. Currently supervising 2 PhD students and supervised 2 M. Phil students in University of Gujrat, Pakistan as co-supervisor.
        1. Muhammad Zeeshan, PhD in progress
        2. Nabeela Anwar, PhD in progress
        3. Amina Iqbal, M. Phil COMPLETED
        4. Laraib Asif, M. Phil COMPLETED
      9. Currently supervising 1 PhD student and 3 M. Phil students in Institute of Space Technology, Pakistan as co-supervisor.
        1. Aqsa Zafar Abbasi, PhD in progress
        2. SanaUllah, M. Phil COMPLETED
        3. Izza, M. Phil completed
        4. Yasmin, M. Phil in progress
      10. Currently supervising 1 PhD student and already supervised 1 M. Phil student in Riphah International University Islamabad, Pakistan as co-supervisor.
        1. Zohra, PhD in progress
        2. Iqra, M. Phil COMPLETED

    研究專長

    Objectives

    Research and development work in Heuristic Computational Intelligence techniques and their applications in Social & Physical sciences, as well as, in fractional order systems in Engineering and Physical Sciences.

    Research Interests

    The topic of my PhD studies is mathematical modeling and analytical solutions techniques of fluidic problems. Key areas of my research interest are Evolutionary Computation, Swarm Intelligence, Fractional Calculus, Fractional differential equation. Numerical Computing, Particle swarm optimization, Genetic Algorithm, Neural Networks, Mathematical Modeling of Fluid dynamic system, Perturbation Techniques, Evolutionary Spline Methods, Finite Difference Methods, etc.


  • 期刊論文

    Publications:

    Total 286: Journal papers: 271, Conference papers: 05, International Conference: 10

    Cumulative Impact factor: 1000 plus, Citation: 7000 plus

    Link of research gate papers.

    https://www.researchgate.net/profile/Muhammad-Shoaib-92/publications

    Google Scholar Link

    https://scholar.google.com/citations?user=uWdWliwAAAAJ&hl=en


    [276] Nisar, K.S., Naz, I., Raja, M.A.Z. and Shoaib, M., 2024. Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks. Computational Biology and Chemistry, p.108234.


    [275] Shah, Z., Raja, M.A.Z., Shoaib, M., Javeed, S., Muhammad, T., Ali, M., Khan, W.A. and Haider, R.Z., 2024. Computing intelligence for the magnetised chemically reactive bidirectional radiative nanofluid flow through the Bayesian regularisation back-propagated neural network. Pramana, 98(4), p.130.


    [274] Urooj, A., Kamran, M.S., Raja, M.A.Z., Hassan, Q.M.U., Nisar, K.S., Maria and Shoaib, M., 2024. A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202400051.


    [273] Bukhari, A.H., Raja, M.A.Z., Alquhayz, H., Almazah, M.M., Abdalla, M.Z., Hassan, M. and Shoaib, M., 2024. Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework. Engineering Applications of Artificial Intelligence, 135, p.108687.


    [272] Anwar, N., Shahzadi, K., Raja, M.A.Z., Ahmad, I., Shoaib, M. and Kiani, A.K., 2024. Intelligent adaptive networks for chaos analysis in stochastic SIS differential epidemic model with the impact of unpredictable environmental factors. Fluctuation and Noise Letters.


    [271] Qureshi, H., Shah, Z., Raja, M.A.Z., Alshahrani, M.Y., Khan, W.A. and Shoaib, M., 2024. Machine learning investigation of tuberculosis with medicine immunity impact. Diagnostic Microbiology and Infectious Disease, 110(3), p.116472.


    [270] Shoaib, M., Tabassum, R., Raja, M.A.Z. and Nisar, K.S., 2024. Bio-inspired algorithm integrated with sequential quadratic programming to analyze the dynamics of hepatitis B virus. Beni-Suef University Journal of Basic and Applied Sciences, 13(1), p.71.


    [269] Imran, A., Abbas, M., Awan, S.E., Shoaib, M. and Raja, M.A.Z., 2024. Electro osmotic flow of nanofluids within a porous symmetric tapered ciliated channel. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 104(9), p.e202300838.


    [268] Shahbaz, Hafiz Muhammad, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Hira Ilyas, Kottakkaran Sooppy Nisar, and Muhammad Shoaib. "A novel design of recurrent neural network to investigate the heat transmission of radiative Casson nanofluid flow consisting of carbon nanotubes (CNTs) across a curved stretchable surface." ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik 104, no. 9 (2024): e202400104.


    [267] Qureshi, H., Shah, Z., Raja, M.A.Z., Shoaib, M. and Khan, W.A., 2024. Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids. Numerical Heat Transfer, Part B: Fundamentals, pp.1-22.


    [266] Khan, M.P., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial. Tribology International, 199, p.110009.


    [265] Butt, Z.I., Ahmad, I., Shoaib, M., Hussain, S.I., Ilyas, H. and Raja, M.A.Z., 2024. Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic Prandtl–Eyring fluid flow with diffusive magnetic layers effect over an elongated surface. Chinese Journal of Chemical Engineering.


    [264] Ilyas, H., Ahmad, I., Hussain, S.I., Shoaib, M. and Raja, M.A.Z., 2024. Design of evolutionary computational intelligent solver for nonlinear corneal shape model by Mexican Hat and Gaussian wavelet neural networks. Waves in Random and Complex Media, pp.1-23.


    [263] Butt, Z.I., Raja, M.A.Z., Ahmad, I., Hussain, S.I., Shoaib, M. and Ilyas, H., 2024. Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103, pp.98-120.


    [262] Nisar, K.S., Aamir, M., Abbasi, A.Z., Raja, M.A.Z., Sohail, M.U. and Shoaib, M., 2024. Comparative analysis of compressible inviscid flow over symmetric and supercritical airfoil. Results in Physics, p.107830.


    [261] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Stochastic Runge–Kutta for numerical treatment of dengue epidemic model with Brownian uncertainty. Modern Physics Letters B, p.2450408.


    [260] Shah, Z., Raja, M.A.Z., Shoaib, M., Khan, I. and Kiani, A.K., 2024. Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation. Modern Physics Letters B, p.2450400.


    [259] Kausar, A., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models. Modern Physics Letters B, p.2450393.


    [258] Urooj, A., Hassan, Q.M.U., Raja, M.A.Z., Ayub, K., Nisar, K.S. and Shoaib, M., 2024. Numerical treatment for radiative hybrid nanofluid flow over a stretching sheet. Results in Engineering, 22, p.102209.


    [257] Shah, Z., Jamil, A., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2024. Design of nonlinear Autoregressive neuro-computing structure for bioconvective micropolar nanofluidic model. NANO.


    [256] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Design of a novel intelligent computing framework for predictive solutions of malaria propagation model. Plos one, 19(4), p.e0298451.


    [255] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of stochastic and deterministic alcohol drinker dynamics with Euler–Maruyama method. Modern Physics Letters B, p.2450355.


    [254] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Recurrent neural network for the dynamics of Zika virus spreading. AIMS Public Health, 11(2), pp.432-458.


    [253] Syed, F.A., Fang, K.T., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics. Computational Economics, pp.1-30.


    [252] Bilal, M., Rocha, E., Asif Zahoor Raja, M., Bilal, S., Ahmad, I., Usman, M. and Shoaib, M., 2024. Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics. International Journal of Modeling, Simulation, and Scientific Computing.


    [251] Shoaib, M., Tabassum, R., Nisar, K.S. and Raja, M.A.Z., 2024. A framework for the analysis of skin sores disease using evolutionary intelligent computing approach. Computer Methods in Biomechanics and Biomedical Engineering, pp.1-15.

     

    [250] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Supervised stochastic Levenberg–Marquardt intelligent netwoks for dynamics of convective Eyring–Powell magneto-nanofluid model. The European Physical Journal Plus, 139(2), p.173. I. F. 3.7


    [249] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H., Kiani, A.K. and Raja, M.A.Z., 2024. Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300302. I. F. 1.75.


    [248] Ahmad, I., Munir, A., Nisar, K.S., Raja, M.A.Z., Ilyas, H. and Shoaib, M., 2024. Intelligent computing infrastructure for nodal/saddle stagnation point slip flow of an aqueous convectional magnesium oxide–gold hybrid nanofluid with viscous dissipation. International Journal of Modelling and Simulation, pp.1-20. I. F. 0.352.


    [247] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Noval Bayesian distributed adaptive neural structure for Titanium and Aluminium alloy nanofluidic model with gyrotactic microorganisms. Tribology International, p.109457.. I. F. 5.62.


    [246] Bilal, M., Raja, M.A.Z., Ahmad, I., Khan, R. and Shoaib, M., 2024. Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks. Biomedical Signal Processing and Control, 88, p.105629. I. F. 5.076.


    [245] Asghar, S.A., Ahmad, I., Ilyas, H., Abdullah, M., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks. The European Physical Journal Plus, 139(1), p.10. I. F. 3. 7.

     

    [244] Kausar, A., Chang, C.Y., Raja, M.A.Z., Zameer, A. and Shoaib, M., 2024. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. The European Physical Journal Plus, 139(1), p.16. I. F. 3. 7.


    [243] Raja, M.A.Z., Haider, A., Nisar, K.S. and Shoaib, M., 2024. Intelligent computing knacks for infected media and time delay impacts on dynamical behaviors and control measures of the rumor-spreading model. AIMS Biophysics, 11(1), pp.1-17. I. F. 0.279.

     

    [242] Butt, Z.I., Ahmad, I., Hussain, S.I., Raja, M.A.Z., Shoaib, M. and Ilyas, H., 2024. Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation. Chinese Journal of Physics. I. F. 3.95.


    [241] Syed, F.A., Fang, K.T. and Raja, M.A.Z, Adiqa kausar and shoaib, muhammad., Design of Intelligent Autoregressive Exogenous Neuro-Structures for Nonlinear Chaotic Fractional Order Model in Econometrics. I. F. 9.92.

     

    [240] Nisar, K.S., Shoaib, M., Raja, M.A.Z., Tabassum, R. and Morsy, A., 2023. A novel design of evolutionally computing to study the quarantine effects on transmission model of Ebola virus disease. Results in Physics, 48, p.106408. I. F. 4.565.

     

    [239] Raja, M.A.Z., Nisar, K.S., Shoaib, M., Akbar, A., Ullah, H. and Islam, S., 2023.

    A predictive neuro-computing approach for micro-polar nanofluid flow along rotating disk in the presence of magnetic field and partial slip. AIMS Mathematics, 8(5), pp.12062-12092. I. F. 2.739.

     

    Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M., 2022. Supervised learning algorithm to study the magnetohydrodynamic flow of a third grade fluid for the analysis of wire coating. Arabian Journal for Science and Engineering, 47(6), pp.7505-7518.


    [153]Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation, 196, pp.88-113. I. F. 8.08.


    Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2022. Correction to: Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth‑order nonlinear system of Emden–Fowler model. Engineering with Computers, 38, pp.2993-2993. I. F. 8.08.

     

    [151] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy–Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation, 201, pp.193-214. I. F. 3.6.

     

    [150] Bilal, H., Ullah, H., Fiza, M., Islam, S., Raja, M.A.Z., Shoaib, M. and Khan, I., 2021. A Levenberg-Marquardt backpropagation method for unsteady squeezing flow of heat and mass transfer behaviour between parallel plates. Advances in Mechanical Engineering, 13(10), p.16878140211040897. I. F 1.316.


    [149] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17, .I. F 8.08.


    [148] Ullah, H., Shoaib, M., Akbar, A., Raja, M.A.Z., Islam, S. and Nisar, K.S., 2022. Neuro-Computing for Hall Current and MHD Effects on the Flow of Micro-Polar Nano-Fluid Between Two Parallel Rotating Plates. Arabian Journal for Science and Engineering, pp.1-21. I. F 2.08.

    .

    [147] Shoaib, M., Ullah, I., Raja, M.A.Z., Farhat, I. and Sabir, M.T., 2022. Flow of magnetized nanomaterials through movable parallel plates with Lorentz forces: an intelligent computing application. Waves in Random and Complex Media, pp.1-22. I. F 4.05

    [146] Anwar, N., Shoaib, M., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent Computing Networks for Nonlinear Influenza-A Epidemic Model. International Journal of Biomathematics. I.F 2.13.


    [145] Bukhari, A.H., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2022. Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution. Chaos, Solitons & Fractals, 161, p.112375.I.F 9.92


    [144] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H. and Raja, M.A.Z., 2022. Electro-magnetohydrodynamic impact on Darrcy-Forchheimer viscous fluid flow over a stretchable surface: Integrated intelligent Neuro-evolutionary computing approach. International Communications in Heat and Mass Transfer, 137, p.106262. I. F 6.78.


    [143] Shoaib, M., Zubair, G., Khan, M.I., Raja, M.A.Z., Ahmad, S. and Guedri, K., 2022. Levenberg Marquardt knacks-based intelligent networks for the magnetohydrodynamic third-grade fluid flow under activation energy and bio-convection. Waves in Random and Complex Media, pp.1-24. I. F 4.05.



    [142] Shoaib, M., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127. I. F 6.78.


    [141] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Tariq, Y., Tabassum, R. and Rafiq, A., 2022. Knacks of neuro-computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation. International Communications in Heat and Mass Transfer, 135, p.106140. I. F 6.78.


    [140] Shoaib, M., Tabassum, R., Raja, M.A.Z., Nisar, K.S., Alqahtani, M.S. and Abbas, M., 2022. A Design of Predictive Computational Network for Transmission Model of Lassa Fever in Nigeria. Results in Physics, p.105713. I. F. 4.56.


    [139] Shoaib, M., Tabassum, R., Khan, M.I., Raja, M.A.Z., Elattar, S., Qayyum, S. and Galal, A.M., 2022. Intelligent computing for entropy generation in Jeffrey nanofluid through radiated flow. Waves in Random and Complex Media, pp.1-28. I. F 4.05


    [138] Shoaib, M., Naz, S., Nisar, K.S., Raja, M.A.Z., Aslam, S. and Ahmad, I., 2022. MHD Casson Nanofluid in Darcy-Forchheimer Porous Medium in the Presence of Heat Source and Arrhenious Activation Energy: Applications of Neural Networks. International Journal of Modelling and Simulation, pp.1-24. I. F. 2.91.


    [137] Shoaib, M., Anwar, N., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent networks knacks for numerical treatment of nonlinear multi-delays SVEIR epidemic systems with vaccination. International Journal of Modern Physics B, p.2250100. I. F. 1.4.


    [136] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Ahmad, S. and Elattar, S., 2022. Neural artificial networking for a nonlinear darcy–forchheimer chemically reactive flow: Levenberg marquardt analysis. Modern Physics Letters B, p.2250095. I. F. 1.95.


    [135] Shoaib, M., Kainat, S., Raja, M.A.Z. and Nisar, K.S., 2022. Design of artificial neural networks optimized through genetic algorithms and sequential quadratic programming for tuberculosis model. Waves in Random and Complex Media, pp.1-24.. I. F 4.05.


    Raja, M.A.Z., Shoaib, M., Tabassum, R., Khan, M.I., Jagannatha, C.G., Gali, C. and Elattar, S., 2022. A stochastic intelligent approach for entropy optimized mixed convective second-order slip flow over a movable surface. Archive of Applied Mechanics, pp.1-20. I. F 2.47.

     

    [133] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z. and Morsy, A., 2022. Impact of thermal energy on MHD Casson fluid through a Forchheimer porous medium with inclined non-linear surface: A soft computing approach, Alexandria Engineering Journal, 61(12), pp 12211-12228. I. F 6.626.


    [132] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy-Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation. I. F 3.6.


    [131] Raja, M.A.Z., Shoaib, M., Abbas, A., Khan, M.I., Jagannatha, C.G., Gali, C., Malik, M.Y. and Alwetaishi, M., 2022. Neuro-computing intelligent networks for entropy optimized MHD fully developed nanofluid flow with activation energy and slip effects. Journal of the Indian Chemical Society, p.100504. I. F 0.24.


    [130] Awais, M., Rehman, H., Raja, M.A.Z., Awan, S.E., Ali, A., Shoaib, M. and Malik, M.Y., 2022. Hall effect on MHD Jeffrey fluid flow with Cattaneo–Christov heat flux model: an application of stochastic neural computing. Complex & Intelligent Systems, pp.1-25. I. F. 6.7.


    [129] Zuhra, S., Raja, M.A.Z., Shoaib, M., Khan, Z., Nisar, K.S., Islam, S. and Khan, I., 2022. Numerical analysis of Cattaneo–Christov heat flux model over magnetic couple stress Casson nanofluid flow by Lavenberg–Marquard backpropagated neural networks. Waves in Random and Complex Media, pp.1-28. I. F 4.05.

     

    [128] Shoaib, M., Rafia, T., Raja, M.A.Z., Khan, W.A. and Waqas, M., 2022. Further analysis of double-diffusive flow of nanofluid through a porous medium situated on an inclined plane: AI-based Levenberg–Marquardt scheme with backpropagated neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(6), pp.1-21. I. F 2.36.


    [127] Anwar, N., Ahmad, I., Raja, M.A.Z., Naz, S., Shoaib, M, and Kiani, A.K., 2022. Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. The European Physical Journal Plus, 137(1), pp.1-47. I. F 3.76.


    [126] Sabir, Z., Raja, M.A.Z., Umar, Shoaib, M, and Baleanu, D., 2022. FMNSICS: Fractional Meyer neuro-swarm intelligent computing solver for nonlinear fractional Lane–Emden systems. Neural Computing and Applications, 34(6), pp.4193-4206. I. F 5. 5.10.

    [125] Junsawang, P., Zuhra, S., Sabir, Z., Raja, M.A.Z., Shoaib, M., Botmart, T. and Weera, W., 2022. Numerical Simulations of Vaccination and Wolbachia on Dengue Transmission Dynamics in the Nonlinear Model. IEEE Access, 10, pp.31116-31144. I. F 3.48.


    [124] Raja, M.A.Z., Awan, S.E., Shoaib, M and Awais, M., 2022. Backpropagated Intelligent Networks for the Entropy Generation and Joule Heating in Hydromagnetic Nanomaterial Rheology Over Surface with Variable Thickness. Arabian Journal for Science and Engineering, pp.1-25. I. F 2.08.


    [123] Raja, M.A.Z., Tabassum, R., El-Zahar, E.R., Shoaib, M., Khan, M.I., Malik, M.Y., Khan, S.U. and Qayyum, S., 2022. Intelligent computing through neural networks for entropy generation in MHD third-grade nanofluid under chemical reaction and viscous dissipation. Waves in Random and Complex Media, pp.1-25. I. F 4.8.


    [122] Shah, Z., Raja, M.A.Z., Khan, W.A., Shoaib, M., Asghar, Z., Waqas, M. and Muhammad, T., 2022. Application of Levenberg–Marquardt technique for electrical conducting fluid subjected to variable viscosity. Indian Journal of Physics, pp.1-19. I. F 1.78.


    [121] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Saad, M., Tabassum, R., Rafiq, A. and Ullah, I., 2022. Intelligent networks knacks for numerical treatment of three-dimensional Darcy–Forchheimer Williamson nanofluid model past a stretching surface. Waves in Random and Complex Media, pp.1-29. I. F 4.05.


    [120] Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric-mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation. I. F. 3.6.


    [119] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z., Zeb, M. and Morsy, A., 2022. The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions. International Communications in Heat and Mass Transfer, 133, p.105971. I. F 6.78.


    [118] Bukhari, A.H., Raja, M.A.Z., Rafiq, N., Shoaib, M., Kiani, A.K. and Shu, C.M., 2022. Design of intelligent computing networks for nonlinear chaotic fractional Rossler system. Chaos, Solitons & Fractals, 157, p.111985. I. F 9.92.


    [117] Raja, M.A.Z., Naz, H., Shoaib, M. and Mehmood, A., 2022. Design of backpropagated neurocomputing paradigm for Stuxnet virus dynamics in control infrastructure. Neural Computing and Applications, pp.1-20. I. F. 5.10.


    [116] Awais, M., Shoaib, M., Raja, M.A.Z., Arif, S., Malik, M.Y., Nisar, K.S. and Ismail, K.A., 2022. Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology. Scientific Reports, 12(1), pp.1-14. I. F. 4.99.


    [115] Sabir, Z., Raja, M.A.Z., Shoaib, M., Sadat, R. and Ali, M.R., 2022. A novel design of a sixth-order nonlinear modeling for solving engineering phenomena based on neuro intelligence algorithm. Engineering with Computers, pp.1-16. I. F. 8.08.


    [114] Sun, T.C., Uddin, I., Raja, M.A.Z., Shoaib, M., Ullah, I., Jamshed, W. and Islam, S., 2022. Numerical investigation of thin-film flow over a rotating disk subject to the heat source and nonlinear radiation: Lobatto IIIA approach. Waves in Random and Complex Media, pp.1-15. I. F. 4.8.


    [113] Zahoor Raja, M.A., Shoaib, M., El-Zahar, E.R., Hussain, S., Li, Y.M., Khan, M.I., Islam, S. and Malik, M.Y., 2022. Heat transport in entropy-optimized flow of viscoelastic fluid due to Riga plate: analysis of artificial neural network. Waves in Random and Complex Media, pp.1-20, I. F. 4.05.


    [112] Raja, M.A.Z., Shoaib, M., Khan, Z., Zuhra, S., Saleel, C.A., Nisar, K.S., Islam, S. and Khan, I., 2022. Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes. Ain Shams Engineering Journal, 13(2), p.101573. I. F. 4.79.


    [111] Shoaib, M, Zubair, G., Raja, M.A.Z., Nisar, K.S., Abdel-Aty, A.H. and Yahia, I.S., 2022. Study of 3-D Prandtl Nanofluid Flow over a Convectively Heated Sheet: A Stochastic Intelligent Technique. Coatings, 12(1), p.24. I. F 3.24.


    [110] Zubair, G., Shoaib, M, Khan, M.I., Naz, I., Althobaiti, A., Raja, M.A.Z., Jameel, M. and Galal, A.M., 2022. Intelligent supervised learning for viscous fluid submerged in water based carbon nanotubes with irreversibility concept. International Communications in Heat and Mass Transfer, 130, p.105790. I. F. 6.78.


    [109] Raja, M.A.Z., Shoaib, M, Hussain, S., Nisar, K.S. and Islam, S., 2022. Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a stretching sheet. International Communications in Heat and Mass Transfer, 130, p.105799. I. F. 6.78.


    [108] Shoaib, M, Raja, M.A.Z., Farhat, I., Shah, Z., Kumam, P. and Islam, S., 2022. Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer. Alexandria Engineering Journal, 61(2), pp.1607-1623. I. F 6.26. 



     [107] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M., Kiani, A.K. and Islam, S., 2022. Thin film flow of carreau nanofluid over a stretching surface with magnetic field: Numerical treatment with intelligent computing paradigm. International Journal of Modern Physics B, 36(03), p.2250021. I. F. 1.4.


    [106] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2022. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering, 47(2), pp.1197-1210. I. F. 2.08.

    2021

    [105] Raja, M.A.Z., Shoaib, M, Tabassum, R., Khan, M.I., Gowda, R.P., Prasannakumara, B.C., Malik, M.Y. and Xia, W.F., 2021. Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface. International Journal of Modern Physics B, 35(26), p.2150269. I. F. 1.4.


    [104] Ullah, H., Khan, I., Fiza, M., Hamadneh, N.N., Fayz-Al-Asad, M., Islam, S., Khan, I., Raja, M.A.Z. and Shoaib, M, 2021. MHD boundary layer flow over a stretching sheet: A new stochastic method. Mathematical Problems in Engineering, 2021. I. F. 1.43.


    [103] Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M, 2021. Supervised Learning Algorithm to Study the Magneto hydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating. Arabian Journal for Science and Engineering, pp.1-14. I. F. 2.08.


    [102] Shoaib, M, Raja, M.A.Z., Zubair, G., Farhat, I., Nisar, K.S., Sabir, Z. and Jamshed, W., 2021. Intelligent computing with levenberg–marquardt backpropagation neural networks for third-grade nanofluid over a stretched sheet with convective conditions. Arabian Journal for Science and Engineering, pp.1-19. I. F. 2.08.


    [101] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2021. Intelligent computing technique based supervised learning for squeezing flow model. Scientific Reports, 11(1), pp.1-15.

    I. F. 4.99.


    [100] Ahmad, I., Ilyas, H., Raja, M.A.Z., Khan, Z. and Shoaib, M, 2021. Stochastic numerical computing with Levenberg-Marquardt backpropagation for performance analysis of heat Sink of functionally graded material of the porous fin. Surfaces and Interfaces, 26, p.101403. I. F. 6.14.


    [99] Shoaib, M, Raja, M.A.Z., Jamshed, W., Nisar, K.S., Khan, I. and Farhat, I., 2021. Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system. International Communications in Heat and Mass Transfer, 127, p.105544. I. F. 6.78.


    [98] Khan, W.U., Imran, A., Raja, M.A.Z., Shoaib, M, Awan, S.E., Kausar, K. and He, Y., 2021. A novel mathematical modeling with solution for movement of fluid through ciliary caused metachronal waves in a channel. Scientific reports, 11(1), pp.1-12. I. F. 4.99.


    [97] Ali, S., Ahmad, I., Raja, M.A.Z., Ahmad, S.U.I. and Shoaib, M, 2021. Design of evolutionary cubic spline intelligent solver for nonlinear Painlevé-I transcendent. International Journal of Modern Physics B, 35(29), p.2150299. I. F. 1.4.


    [96] Shoaib, M, Kausar, M., Khan, M.I., Zeb, M., Gowda, R.P., Prasannakumara, B.C., Alzahrani, F. and Raja, M.A.Z., 2021. Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system. International Communications in Heat and Mass Transfer, 129, p.105730. I. F. 5.68.


    [95] Shoaib, M, Zubair, G., Nisar, K.S., Raja, M.A.Z., Khan, M.I., Gowda, R.P. and Prasannakumara, B.C., 2021. Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm. International Communications in Heat and Mass Transfer, 129, p.105683. I. F. 6.78.


    [94] Raja, M.A.Z., Sabati, M., Parveen, N., Awais, M., Awan, S.E., Chaudhary, N.I., Shoaib, M, and Alquhayz, H., 2021. Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific reports, 11(1), pp.1-20. I. F. 4.99.


    [93] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Shoaib, M, Raja, M.A.Z., Gumaei, A. and Ikhlaq, F., 2021. Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method. Journal of Function Spaces, 2021. I. F. 1.281.


    [92] Sabir, Z., Raja, M.A.Z., Baleanu, D., Cengiz, K. and Shoaib, M, 2021. Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically. Nonlinear Dynamics, 106(4), pp.3199-3214. I. F. 5.02.


    [91] Shoaib, M, Khan, R.A., Ullah, H., Nisar, K.S., Raja, M.A.Z., Islam, S., Felemban, B.F. and Yahia, I.S., 2021. Heat Transfer Impacts on Maxwell Nanofluid Flow over a Vertical Moving Surface with MHD Using Stochastic Numerical Technique via Artificial Neural Networks. Coatings, 11(12), p.1483. I. F. 3.24.


    [90] Shoaib, M, Tabassum, R., Nisar, K.S., Raja, M.A.Z., Rafiq, A., Khan, M.I., Jamshed, W., Abdel-Aty, A.H., Yahia, I.S. and E Mahmoud, E., 2021. Entropy Optimized Second Grade Fluid with MHD and Marangoni Convection Impacts: An Intelligent Neuro-Computing Paradigm. Coatings, 11(12), p.1492. I. F. 3.24.


    [89] Jamshed, W., Baleanu, D., Nasir, N.A.A.M., Shahzad, F., Nisar, K.S., Shoaib, M, Ahmad, S. and Ismail, K.A., 2021. The improved thermal efficiency of Prandtl–Eyring hybrid nanofluid via classical Keller box technique. Scientific Reports, 11(1), pp.1-24. I. F. 4.99.


    [88] Ullah, H., Khan, I., AlSalman, H., Islam, S., Asif Zahoor Raja, M., Shoaib, M, Gumaei, A., Fiza, M., Ullah, K., Rahman, M. and Md, S., 2021. Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection. Complexity, 2021. I. F. 2.12.


    [87] Shoaib, M, Raja, M.A.Z., Sabir, M.T., Nisar, K.S., Jamshed, W., Felemban, B.F. and Yahia, I.S., 2021. MHD Hybrid Nanofluid Flow Due to Rotating Disk with Heat Absorption and Thermal Slip Effects: An Application of Intelligent Computing. Coatings, 11(12), p.1554. I. F. 3.24.


    [86] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2021. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering, pp.1-14. I. F2.08.


    [85] Almalki, M.M., Alaidarous, E.S., Raja, M.A.Z., Maturi, D.A. and Shoaib, M, 2021. Optimization through the Levenberg—Marquardt Backpropagation Method for a Magnetohydrodynamic Squeezing Flow System. Coatings, 11(7), p.779. I. F 3.24.


    [84] Ilyas, H., Ahmad, I., Raja, M.A.Z., Tahir, M.B. and Shoaib, M, 2021. Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating. International Journal of Hydrogen Energy, 46(55), pp.28298-28326. I. F. 7.14.


    [83] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M, Islam, S., Zobaer, M.S., Nisar, K.S., Saleel, C.A. and Alshahrani, S., 2021. The intelligent networks for double-diffusion and MHD analysis of thin film flow over a stretched surface. Scientific Reports, 11(1), pp.1-20. I. F. 4.99.


    [82] Raja, M.A.Z., Khan, Z., Zuhra, S., Chaudhary, N.I., Khan, W.U., He, Y., Islam, S. and Shoaib, M, 2021. Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks approach. Case Studies in Thermal Engineering, p.101168. I. F 6.268.



    [81] Khan, R.A., Ullah, H., Raja, M.A.Z., Khan, M.A.R., Islam, S. and Shoaib, M, 2021. Heat transfer between two porous parallel plates of steady nano fludis with Brownian and Thermophoretic effects: A new stochastic numerical approach. International Communications in Heat and Mass Transfer, 126, p.105436. I. F6.78.


    [80] Kiani, A.K., Khan, W.U., Raja, M.A.Z., He, Y., Sabir, Z. and Shoaib, M, 2021. Intelligent backpropagation networks with bayesian regularization for mathematical models of environmental economic systems. Sustainability, 13(17), p.9537. I. F. 3.89.



    [79] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M, Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17. I. F. 8.08.


    [78] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Zahoor Raja, A., Shoaib, M, and Gumaei, A.H., 2021. Falkner–Skan equation with heat transfer: a new stochastic numerical approach. Mathematical Problems in Engineering, 2021. I. F. 1.43.

    [77] M. Amir, I. Ahmad, M.A.Z Raja and Muhammad Shoaib, 2021, Design of spline–evolutionary computing paradigm for nonlinear thin film flow model. Arabian Journal for Science and Engineering, 46(9), pp.9279-9299. I. F. 2.08.


    [76] Ilyas, H., Raja, M.A.Z., Ahmad, I. and Shoaib, M., 2021. A novel design of Gaussian Wavelet Neural Networks for nonlinear Falkner-Skan systems in fluid dynamics. Chinese Journal of Physics, 72, pp.386-402. Chinese Journal of Physics. I. F. 3.96.


    [75] Muhammad Shoaib, M.A.Z Raja, M.A. Khan, S.E. Awan, 2021. Neuro Computing Networks for Entropy Generation under the Influence of MHD and Thermal Radiation. Surfaces and Interfaces, p.101243. I. F. 6.14. 


    [74] Umar, M., Sabir, Z., Raja, M.A.Z., Aguilar, J.G., Amin, F. and Shoaib, M., 2021. Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells. Mathematics and Computers in Simulation, 188, pp.241-253. I. F. 3.6.


    Ishtisham Jadoon, Muhammad Junaid, Ashfaq Ahmed, Ata ur Rehman, Muhammad Shoaib, Muhammad Asif Zahoor Raja. 2020. Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model. Applied Soft Computing, 97, p.106791. I. F 8.26.

     

    [52] Muhammad Shoaib, Muhammad Asif Zahoor Raja, Zahir Shah, Poom Kumam. 2020. Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet. Scientific Reports, 10(1), pp.1-15. I. F 4.99.


    [51] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2020. A Levenberg–Marquardt backpropagation neural network for the numerical treatment of squeezing flow with heat transfer model. IEEE Access, 8, pp.227340-227348. I. F. 3.48.


    [50]  Muhammad Awais, Saeed Ehsan Awan, Muhammad Awais, Muhammad Shoaib, Muhammad Asif Zahoor Raja, 2020. Rheology of hydro-magnetic polymeric material with heat generation/absorption and chemical reaction. Journal of the National Science Foundation of Sri Lanka, 48(4). I. F. 1.24.


    [49] Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan, 2020. Design of neural network based intelligent computing for neumerical treatment of unsteady 3D flow of Eyring-Powell magneto-nanofluidic model. Journal of Materials Research and Technology, 9(6), pp.14372-14387. I. F. 6.27.


    [48] Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhamamd Shoaib, Manoj Gupta, Yolanda Guerrero, 2020. A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel FtCOVID-19 Dynamics. Symmetry, 12(10), p.1628. I. F. 3.11.


    [47] Chun Ouyang, Muhammad Asif Zahoor Raja, Shafaq Naz,Yasam Ali, Sayyar Ali Shah, Aihua yuan, Rizwan Akhtar, Iftikhar Ahmad and Muhammad Shoaib, 2020. Numerical Computing for Investigation of Oblique Magnetic Viscous Dissipative Transport for Chemically Reactive Micro Rotations in a Porous Medium. Journal of Nanoelectronics and Optoelectronics, 15(10), pp.1248-1259. I. F. 0.97.


    [46] Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Shafaq Naz, Hira Ilyas, Muhammad Shoaib, 2020. Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. The European Physical Journal Plus, 135(11), pp.1-35. I. F 3.76.


    [45] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Juan, Gairao, 2020. Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden–Fowler equation. Computational and Applied Mathematics, 39(4), pp.1-18. I.F. 2.62.


    [44] Ifikhar Ahmed, Muhammad Asif Zahoor Raja, Muhammad Bilal, Muhammad Shoaib, 2020. Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically. Neural Computing and Applications, pp.1-17. I. F 5.10.


    [43] Imtiaz Khan, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Poom Kumam, Hussam Alrabaiah, Zahir Shah, and Saeed Islam. 2020. Design of Neural Network with Levenberg-Marquardt and Bayesian Regularization Backpropagation for Solving Pantograph Delay Differential Equations. IEEE Access, 8, pp.137918-137933. I.F. 3.48.


    [42] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, J. F. Gómez Aguilar, 2020. FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system. Computational and Applied Mathematics, 39(4), pp.1-18. I. F 2.62.

     

    [41] Sabir, Z., Raja, M.A.Z., Wahab, H.A., Shoaib, M. and Aguilar, J.G., 2020. Integrated neuro‐evolution heuristic with sequential quadratic programming for second‐order prediction differential models. Numerical Methods for Partial Differential Equations. I. F. 3.57.


    [40] M. Awais, Saeed Ehsan, Muhammad Shoaib, M. A. Z. Raja, 2020. Effects of Gyro-Tactic Organisms in Bio-convective Nano-material with Heat Immersion, Stratification, and Viscous Dissipation. Arabian Journal for Science and Engineering, pp.1-14. I. F 2.08.


    [39] Waseem Waseem, Muhammad Sulaiman, Poom Kumam, Muhammad Shoaib, Muhammad Asif Zahoor Raja, and Saeed Islam. 2020. Investigation of singular ordinary differential equations by a neuroevolutionary approach. Plos one, 15(7), p.e0235829. (I.F: 3.752)


    [38] Ouyang Chun, Muhammad Asif Zahoor Raja, Shafaq Naz, Iftikhar Ahmad, Rizwan Akhtar, Yasam Ali, and Muhammad Shoaib. 2020. Dynamics of inclined magnetic field effects on micropolar Casson fluid with Lobatto IIIA numerical solver. AIP Advances, 10(6), p.065023. (I.F: 1.697)


    [37] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation. The European Physical Journal Plus, 135(5), p.410. (I.F: 3.76 )


    [36] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Neuro-swarm intelligent computing to solve the second-order singular functional differential model. The European Physical Journal Plus, 135(6), pp.1-19. (I.F: 3.76)


    [35] Ouyang Chun, Rizwan Akhtar, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Muhammad Awais, and Muhammad Shoaib. 2020. Numerical treatment with Lobatto IIIA technique for radiative flow of MHD hybrid nanofluid (Al2O3—Cu/H2O) over a convectively heated stretchable rotating disk with velocity slip effects. AIP Advances, 10(5), p.055122. (I.F: 1.697)


    [34] Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. neural network for nonlinear dusty plasma system. Alexandria Engineering Journal, 59(5), pp.3325-3345. (I.F6.626)


    [33] Muhammad Umar, Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Afaf S. Alwabli, and Muhammad Shoaib. 2020. A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment. The European Physical Journal Plus, 135(7), pp.1-23. (I.F: 3.76)

    .

    [32] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan LG Guirao, and Muhammad Shoaib. 2020. A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems. Front. Phys, 8, p.224. (I.F: 3.718)


    [31] Zulqurnain Sabir, Ali Imran, Muhammad Umar, Muhammad Zeb, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. A numerical approach for two-dimensional Sutterby fluid flow bounded at a stagnation point with an inclined magnetic field and thermal radiation impacts. Thermal Science, (00), pp.186-186. (I.F: 1.62)


    [30] Muhammad Umar, Zulqurnain Sabir, Ali Imran, Abdul Hafiz Wahab, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. The 3-D flow of Casson nanofluid over a stretched sheet with chemical reactions, velocity slip, thermal radiation and Brownian motion. Thermal Science, 24(5 Part A), pp.2929-2939. (I.F: 1.62)


    [29] Bukhari, Ayaz Hussain, Muhammad Asif Zahoor Raja, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. Fractional neuro-sequential ARFIMA-LSTM for financial market forecasting. IEEE Access, 8, pp.71326-71338. I.F 3.48.


    [28] Imran, Ali, Rizwan Akhtar, Zhu Zhiyu, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. Heat transfer analysis of biological nanofluid flow through ductus efferentes. AIP Advances, 10(3), p.035029. (I.F: 1.697)


    [27] Waseem Waseem, Muhammad Sulaiman, Saeed Islam, Poom Kumam, Rashid Nawaz, Muhammad Asif Zahoor Raja, Muhammad Farooq, Muhammad Shoaib, 2020. A study of changes in temperature profile of porous fin model using cuckoo search algorithm. Alexandria Engineering Journal, 59(1), pp.11-24.

    (I.F: 6.626)


    [26] Faisal, F., Shoaib, M. and Raja, M.A.Z., 2020. A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines. The European Physical Journal Plus, 135(1), pp.1-29.

    (I.F: 3.76)


    [25] Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam Muhammad Asif Zahoor Raja, 2020. Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations. Alexandria Engineering Journal, 59(1), pp.101-116.  (I.F: 6.626)

    [24] Rana, M.A., Ali, Y., Shoaib, M. and Numan, M., 2019. Magnetohydrodynamic Three-Dimensional Couette Flow of a Second-Grade Fluid with Sinusoidal Injection/Suction. Journal of Engineering Thermophysics, 28(1), pp.138-162. (I.F: 2.03)

     

    [23] I. Ahmad. H. Ilyas, A. Urooj, M. S. Aslam, Muhammad Shoaib, M.A.Z. Raja, 2019. Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels. Neural Computing and Applications, 31(12), pp.9041-9059. (I.F: 5.10)

     

    [22] Shoaib, M., Akhtar, R., Khan, M.A.R., Rana, M.A., Siddiqui, A.M., Zhiyu, Z. and Raja, M.A.Z., 2019. A Novel Design of Three-Dimensional MHD Flow of Second-Grade Fluid past a Porous Plate. Mathematical Problems in Engineering, 2019. (I.F: 1.30) 


    [21] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Raja, M.A.Z., 2019. Analysis of MHD and heat transfer effects with variable viscosity through ductus efferences. AIP Advances, 9(8), p.085320. (I.F: 1.54)

    .

    [20] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Zahoor Raja, M.A., 2019. MHD and heat transfer analyses of a fluid flow through scraped surface heat exchanger by analytical solver. AIP Advances, 9(7), p.075201. (I.F: 1.697)


    [19] Sabir, Z., Akhtar, R., Zhiyu, Z., Umar, M., Imran, A., Wahab, H.A., Shoaib, M. and Raja, M.A.Z., 2019. A Computational Analysis of Two-Phase Casson Nanofluid Passing a Stretching Sheet Using Chemical Reactions and Gyrotactic Microorganisms. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [18] Uddin, I., Akhtar, R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for Darcy-Forchheimer Flow of Sisko Nanomaterial with Nonlinear Thermal Radiation by Lobatto IIIA Technique. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [17] Umar, M., Akhtar, R., Sabir, Z., Wahab, H.A., Zhiyu, Z., Imran, A., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for the Three-Dimensional Eyring-Powell Fluid Flow over a Stretching Sheet with Velocity Slip and Activation Energy. Advances in Mathematical Physics, 2019. (I.F: 1.36).


    [16] Uddin, I., Akhtar, R., Khan, M.A.R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical treatment for fluidic system of activation energy with non-linear mixed convective and radiative flow of magneto nanomaterials with Navier’s velocity slip. AIP Advances, 9(5), p.055210. (I.F: 1.697).

    2018

    [15] Sadia Siddiqa, Naheed Begham, Md. Anwar Hossain, M. Shoaib and Rama Subba Reddy Golra, 2018. Radiative heat transfer analysis of non-Newtonian dusty Casson fluid flow along a complex wavy surface. Numerical Heat Transfer, Part A: Applications, 73(4), pp.209-221. (I.F: 2.57).


    [14] Rana, M.A., Ali, Y. and Shoaib, M., 2018. Three-dimensional Couette flow of a Jeffrey fluid along periodic injection/suction. Arabian Journal of Mathematics, 7(3), pp.229-247. . I.F: 6.79.


    [13] Ali, Y., Rana, M.A. and Shoaib, M., 2018. Perturbation Analyses of Three-Dimensional Flow of a Maxwell Fluid with Sinusoidal Injection/Suction. Journal of Nanofluids, 7(6), pp.1101-1112. I.F: 1.79


    [12] R. Tajammal, M. A. Rana, N. Z. Khan, M. Shoaib, 2018, January. Slip effect on combined heat and mass transfer in three dimensional MHD porous flow having heat. In 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 635-644). IEEE.

    2017

    [11] Afnan Hossain Nagoor, Eman Salem Alaidarous, Muhammad Touseef Sabir, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2017. Three-dimensional rotating flow of carbon nanotubes with Darcy-Forchheimer porous medium. PLoS One, 12(7), p.e0179576. (I.F: 3.752).


    [10] Shahab Ud Din Khan, Salah Ud-Din Khan, Song Yuntao, Mahmood Ul Hassan, M. Shoaib, Ghulam Farid, Development and Verification of computer model for control of plasma and halo current in EAST Tokama, 27th IEEE Symposium on Fusion Engineering (SOFE), (2017) (Accepted).


    [9] M. Imran, A. M. Siddiqui, M. A. Rana and M. Shoaib 2017. Flow of second grade fluid in a scraped surface heat exchanger. Journal of Food Process Engineering, 40(2), p.e12393. (I.F: 2.89).


    [8] M. A. Rana, Y. Ali and M. Shoaib, 2017, January. Three-dimensional flow of an upper convected Maxwell fluid between two horizontal parallel porous plates with periodic injection/suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 561-568). IEEE.


    [7] M. Shoaib, R. Perveen and M. A. Rana, 2017, January. Slip effect on three dimensional mhd flow of viscous fluid along an infinite plane with periodic suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 575-580). IEEE.


    [6] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. Three-dimensional flow of Jeffrey fluid along an infinite plane wall with periodic suction. Meccanica, 52(11), pp.2705-2714. (I.F: 2.54)


    [5] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. The effect of slip condition on the three-dimensional flow of Jeffrey fluid along a plane wall with periodic suction. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(7), pp.2495-2503. (I.F: 2.36).


    [4] M. A. Rana, Y. Ali and M. Shoaib, “Effect of magneto hydrodynamic on three-dimensional Second grade fluid between two horizontal porous plates with periodic suction/injection “International conference on computing and Mathematical Sciences. (February 2017) (Accepted).

    2016

    [3] M. Shoaib, M. A. Rana, A. M. Siddiqui, (2016) “Three-dimensional flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction”, Journal of Computational and Theoretical Nanoscience, 13(8), 5247-5253, (I.F: 1.67).


    [2] M. Shoaib, A. M. Siddiqui, M. A. Rana and M. Imran, 2016. Three-dimensional flow of a second-grade fluid along an infinite horizontal plane wall with periodic suction. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 18(1), pp.153-170. (I.F: 0.391).


    [1] M. Shoaib, M. A. Rana, A. M. Siddiqui and M. Darus, (2016) Three-dimensional magneto hydrodynamics flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction, Journal (Journal of computational and theoretical nanoscience), 13(9), 1-9 (I.F: 1.67 ).


    List of Accepted Papers

     Ten papers have been accepted


    AppList of Submissions

    roximately 60 research articles have been submitted in different International Journals of repute

  • 研究計畫

    Project#1 Title: Novel integrated intelligent computing paradigms for nonlinear epidemic models with future generation diseases control.

    Project number: 15827

    Duration: Two years (Continue)

    Agency: National Research Program for Universities funded by Higher Education of Pakistan

     

    Project#2 Title: Applications of Intelligent Computing Infrastructures to Thermal Performance using Hybrid Nanoparticles in the Presence of Activation Energy.

    Project number: IF-PSAU-2021/01/18054

    Agency: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabi

    Duration: 1Years (Continue)

     

    Project 3: Analytical and Numerical Solution of three Dimensional flow of viscous fluid in a Porous Medium

    Project number: 16-76/CRGP/CIIT/ATK/17/1086

    Agency: COMSATS University Islamabad, Pakistan

    Duration: 2Years (Completed)

     

    Project 4: Numerical Treatment for wire coating analysis using supervised/un-supervised neural networks and stochastic solvers

    Project number: KEP-Msc-16-130-41

    Agency: Ministry of Higher Education, King Abdul Aziz University, Kingdom of Saudi Arabia

    Duration: 1Years (Completed)

     

    Project 5: Design of Artificial Intelligence based Stochastic Computing Paradigms for various flow and Epidemic Disease Models

    Project number: IF-PSAU-2021/01/18054

    Agency: Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

    Duration: 18 Months (Continued)


    Project 6: Intelligent computing frameworks for infectious diseases biological models

    Project number: IFPIP-926-247-1443

    Agency: Ministry of Higher Education, King Abdul Aziz University, Kingdom of Saudi Arabia

    Duration: 1Years (Continued)


    Project 7: Design of artificial intelligence based networks to analyze the dynamics of worms’ propagation in wireless sensor networks

    Project number: IFPIP-981-247-1443

    Agency: Ministry of Higher Education, King Abdul Aziz University, Kingdom of Saudi Arabia

    Duration: 1Years (Continued)

  • 相關著作與專利

    Publications:

    Total 286: Journal papers: 271, Conference papers: 05, International Conference: 10

    Cumulative Impact factor: 1000 plus, Citation: 7000 plus

    Link of research gate papers.

    https://www.researchgate.net/profile/Muhammad-Shoaib-92/publications

    Google Scholar Link

    https://scholar.google.com/citations?user=uWdWliwAAAAJ&hl=en


    [276] Nisar, K.S., Naz, I., Raja, M.A.Z. and Shoaib, M., 2024. Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks. Computational Biology and Chemistry, p.108234.


    [275] Shah, Z., Raja, M.A.Z., Shoaib, M., Javeed, S., Muhammad, T., Ali, M., Khan, W.A. and Haider, R.Z., 2024. Computing intelligence for the magnetised chemically reactive bidirectional radiative nanofluid flow through the Bayesian regularisation back-propagated neural network. Pramana, 98(4), p.130.


    [274] Urooj, A., Kamran, M.S., Raja, M.A.Z., Hassan, Q.M.U., Nisar, K.S., Maria and Shoaib, M., 2024. A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202400051.


    [273] Bukhari, A.H., Raja, M.A.Z., Alquhayz, H., Almazah, M.M., Abdalla, M.Z., Hassan, M. and Shoaib, M., 2024. Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework. Engineering Applications of Artificial Intelligence, 135, p.108687.


    [272] Anwar, N., Shahzadi, K., Raja, M.A.Z., Ahmad, I., Shoaib, M. and Kiani, A.K., 2024. Intelligent adaptive networks for chaos analysis in stochastic SIS differential epidemic model with the impact of unpredictable environmental factors. Fluctuation and Noise Letters.


    [271] Qureshi, H., Shah, Z., Raja, M.A.Z., Alshahrani, M.Y., Khan, W.A. and Shoaib, M., 2024. Machine learning investigation of tuberculosis with medicine immunity impact. Diagnostic Microbiology and Infectious Disease, 110(3), p.116472.


    [270] Shoaib, M., Tabassum, R., Raja, M.A.Z. and Nisar, K.S., 2024. Bio-inspired algorithm integrated with sequential quadratic programming to analyze the dynamics of hepatitis B virus. Beni-Suef University Journal of Basic and Applied Sciences, 13(1), p.71.


    [269] Imran, A., Abbas, M., Awan, S.E., Shoaib, M. and Raja, M.A.Z., 2024. Electro osmotic flow of nanofluids within a porous symmetric tapered ciliated channel. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 104(9), p.e202300838.


    [268] Shahbaz, Hafiz Muhammad, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Hira Ilyas, Kottakkaran Sooppy Nisar, and Muhammad Shoaib. "A novel design of recurrent neural network to investigate the heat transmission of radiative Casson nanofluid flow consisting of carbon nanotubes (CNTs) across a curved stretchable surface." ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik 104, no. 9 (2024): e202400104.


    [267] Qureshi, H., Shah, Z., Raja, M.A.Z., Shoaib, M. and Khan, W.A., 2024. Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids. Numerical Heat Transfer, Part B: Fundamentals, pp.1-22.


    [266] Khan, M.P., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial. Tribology International, 199, p.110009.


    [265] Butt, Z.I., Ahmad, I., Shoaib, M., Hussain, S.I., Ilyas, H. and Raja, M.A.Z., 2024. Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic Prandtl–Eyring fluid flow with diffusive magnetic layers effect over an elongated surface. Chinese Journal of Chemical Engineering.


    [264] Ilyas, H., Ahmad, I., Hussain, S.I., Shoaib, M. and Raja, M.A.Z., 2024. Design of evolutionary computational intelligent solver for nonlinear corneal shape model by Mexican Hat and Gaussian wavelet neural networks. Waves in Random and Complex Media, pp.1-23.


    [263] Butt, Z.I., Raja, M.A.Z., Ahmad, I., Hussain, S.I., Shoaib, M. and Ilyas, H., 2024. Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103, pp.98-120.


    [262] Nisar, K.S., Aamir, M., Abbasi, A.Z., Raja, M.A.Z., Sohail, M.U. and Shoaib, M., 2024. Comparative analysis of compressible inviscid flow over symmetric and supercritical airfoil. Results in Physics, p.107830.


    [261] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Stochastic Runge–Kutta for numerical treatment of dengue epidemic model with Brownian uncertainty. Modern Physics Letters B, p.2450408.


    [260] Shah, Z., Raja, M.A.Z., Shoaib, M., Khan, I. and Kiani, A.K., 2024. Stochastic supervised networks for numerical treatment of Eyring–Powell nanofluid model with Darcy Forchheimer slip flow involving bioconvection and nonlinear thermal radiation. Modern Physics Letters B, p.2450400.


    [259] Kausar, A., Chang, C.Y., Raja, M.A.Z. and Shoaib, M., 2024. A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models. Modern Physics Letters B, p.2450393.


    [258] Urooj, A., Hassan, Q.M.U., Raja, M.A.Z., Ayub, K., Nisar, K.S. and Shoaib, M., 2024. Numerical treatment for radiative hybrid nanofluid flow over a stretching sheet. Results in Engineering, 22, p.102209.


    [257] Shah, Z., Jamil, A., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2024. Design of nonlinear Autoregressive neuro-computing structure for bioconvective micropolar nanofluidic model. NANO.


    [256] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Design of a novel intelligent computing framework for predictive solutions of malaria propagation model. Plos one, 19(4), p.e0298451.


    [255] Anwar, N., Ahmad, I., Javaid, H., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of stochastic and deterministic alcohol drinker dynamics with Euler–Maruyama method. Modern Physics Letters B, p.2450355.


    [254] Nisar, K.S., Anjum, M.W., Raja, M.A.Z. and Shoaib, M., 2024. Recurrent neural network for the dynamics of Zika virus spreading. AIMS Public Health, 11(2), pp.432-458.


    [253] Syed, F.A., Fang, K.T., Kiani, A.K., Shoaib, M. and Raja, M.A.Z., 2024. Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics. Computational Economics, pp.1-30.


    [252] Bilal, M., Rocha, E., Asif Zahoor Raja, M., Bilal, S., Ahmad, I., Usman, M. and Shoaib, M., 2024. Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics. International Journal of Modeling, Simulation, and Scientific Computing.


    [251] Shoaib, M., Tabassum, R., Nisar, K.S. and Raja, M.A.Z., 2024. A framework for the analysis of skin sores disease using evolutionary intelligent computing approach. Computer Methods in Biomechanics and Biomedical Engineering, pp.1-15.

     

    [250] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Supervised stochastic Levenberg–Marquardt intelligent netwoks for dynamics of convective Eyring–Powell magneto-nanofluid model. The European Physical Journal Plus, 139(2), p.173. I. F. 3.7


    [249] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H., Kiani, A.K. and Raja, M.A.Z., 2024. Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, p.e202300302. I. F. 1.75.


    [248] Ahmad, I., Munir, A., Nisar, K.S., Raja, M.A.Z., Ilyas, H. and Shoaib, M., 2024. Intelligent computing infrastructure for nodal/saddle stagnation point slip flow of an aqueous convectional magnesium oxide–gold hybrid nanofluid with viscous dissipation. International Journal of Modelling and Simulation, pp.1-20. I. F. 0.352.


    [247] Shah, Z., Raja, M.A.Z., Shoaib, M. and Shahzad, F., 2024. Noval Bayesian distributed adaptive neural structure for Titanium and Aluminium alloy nanofluidic model with gyrotactic microorganisms. Tribology International, p.109457.. I. F. 5.62.


    [246] Bilal, M., Raja, M.A.Z., Ahmad, I., Khan, R. and Shoaib, M., 2024. Dynamical analysis of nonlinear combined drug therapy model for HIV infection: Bayesian regularization technique intelligent networks. Biomedical Signal Processing and Control, 88, p.105629. I. F. 5.076.


    [245] Asghar, S.A., Ahmad, I., Ilyas, H., Abdullah, M., Shoaib, M. and Raja, M.A.Z., 2024. Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks. The European Physical Journal Plus, 139(1), p.10. I. F. 3. 7.

     

    [244] Kausar, A., Chang, C.Y., Raja, M.A.Z., Zameer, A. and Shoaib, M., 2024. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model. The European Physical Journal Plus, 139(1), p.16. I. F. 3. 7.


    [243] Raja, M.A.Z., Haider, A., Nisar, K.S. and Shoaib, M., 2024. Intelligent computing knacks for infected media and time delay impacts on dynamical behaviors and control measures of the rumor-spreading model. AIMS Biophysics, 11(1), pp.1-17. I. F. 0.279.

     

    [242] Butt, Z.I., Ahmad, I., Hussain, S.I., Raja, M.A.Z., Shoaib, M. and Ilyas, H., 2024. Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation. Chinese Journal of Physics. I. F. 3.95.


    [241] Syed, F.A., Fang, K.T. and Raja, M.A.Z, Adiqa kausar and shoaib, muhammad., Design of Intelligent Autoregressive Exogenous Neuro-Structures for Nonlinear Chaotic Fractional Order Model in Econometrics. I. F. 9.92.

     

    [240] Nisar, K.S., Shoaib, M., Raja, M.A.Z., Tabassum, R. and Morsy, A., 2023. A novel design of evolutionally computing to study the quarantine effects on transmission model of Ebola virus disease. Results in Physics, 48, p.106408. I. F. 4.565.

     

    [239] Raja, M.A.Z., Nisar, K.S., Shoaib, M., Akbar, A., Ullah, H. and Islam, S., 2023.

    A predictive neuro-computing approach for micro-polar nanofluid flow along rotating disk in the presence of magnetic field and partial slip. AIMS Mathematics, 8(5), pp.12062-12092. I. F. 2.739.

     

    Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M., 2022. Supervised learning algorithm to study the magnetohydrodynamic flow of a third grade fluid for the analysis of wire coating. Arabian Journal for Science and Engineering, 47(6), pp.7505-7518.


    [153]Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric–mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation, 196, pp.88-113. I. F. 8.08.


    Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2022. Correction to: Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth‑order nonlinear system of Emden–Fowler model. Engineering with Computers, 38, pp.2993-2993. I. F. 8.08.

     

    [151] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy–Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation, 201, pp.193-214. I. F. 3.6.

     

    [150] Bilal, H., Ullah, H., Fiza, M., Islam, S., Raja, M.A.Z., Shoaib, M. and Khan, I., 2021. A Levenberg-Marquardt backpropagation method for unsteady squeezing flow of heat and mass transfer behaviour between parallel plates. Advances in Mechanical Engineering, 13(10), p.16878140211040897. I. F 1.316.


    [149] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M., Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17, .I. F 8.08.


    [148] Ullah, H., Shoaib, M., Akbar, A., Raja, M.A.Z., Islam, S. and Nisar, K.S., 2022. Neuro-Computing for Hall Current and MHD Effects on the Flow of Micro-Polar Nano-Fluid Between Two Parallel Rotating Plates. Arabian Journal for Science and Engineering, pp.1-21. I. F 2.08.

    .

    [147] Shoaib, M., Ullah, I., Raja, M.A.Z., Farhat, I. and Sabir, M.T., 2022. Flow of magnetized nanomaterials through movable parallel plates with Lorentz forces: an intelligent computing application. Waves in Random and Complex Media, pp.1-22. I. F 4.05

    [146] Anwar, N., Shoaib, M., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent Computing Networks for Nonlinear Influenza-A Epidemic Model. International Journal of Biomathematics. I.F 2.13.


    [145] Bukhari, A.H., Raja, M.A.Z., Shoaib, M. and Kiani, A.K., 2022. Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution. Chaos, Solitons & Fractals, 161, p.112375.I.F 9.92


    [144] Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H. and Raja, M.A.Z., 2022. Electro-magnetohydrodynamic impact on Darrcy-Forchheimer viscous fluid flow over a stretchable surface: Integrated intelligent Neuro-evolutionary computing approach. International Communications in Heat and Mass Transfer, 137, p.106262. I. F 6.78.


    [143] Shoaib, M., Zubair, G., Khan, M.I., Raja, M.A.Z., Ahmad, S. and Guedri, K., 2022. Levenberg Marquardt knacks-based intelligent networks for the magnetohydrodynamic third-grade fluid flow under activation energy and bio-convection. Waves in Random and Complex Media, pp.1-24. I. F 4.05.



    [142] Shoaib, M., Naz, I., Raja, M.A.Z. and Nisar, K.S., 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. International Communications in Heat and Mass Transfer, 135, p.106127. I. F 6.78.


    [141] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Tariq, Y., Tabassum, R. and Rafiq, A., 2022. Knacks of neuro-computing to study the unsteady squeezed flow of MHD carbon nanotube with entropy generation. International Communications in Heat and Mass Transfer, 135, p.106140. I. F 6.78.


    [140] Shoaib, M., Tabassum, R., Raja, M.A.Z., Nisar, K.S., Alqahtani, M.S. and Abbas, M., 2022. A Design of Predictive Computational Network for Transmission Model of Lassa Fever in Nigeria. Results in Physics, p.105713. I. F. 4.56.


    [139] Shoaib, M., Tabassum, R., Khan, M.I., Raja, M.A.Z., Elattar, S., Qayyum, S. and Galal, A.M., 2022. Intelligent computing for entropy generation in Jeffrey nanofluid through radiated flow. Waves in Random and Complex Media, pp.1-28. I. F 4.05


    [138] Shoaib, M., Naz, S., Nisar, K.S., Raja, M.A.Z., Aslam, S. and Ahmad, I., 2022. MHD Casson Nanofluid in Darcy-Forchheimer Porous Medium in the Presence of Heat Source and Arrhenious Activation Energy: Applications of Neural Networks. International Journal of Modelling and Simulation, pp.1-24. I. F. 2.91.


    [137] Shoaib, M., Anwar, N., Ahmad, I., Naz, S., Kiani, A.K. and Raja, M.A.Z., 2022. Intelligent networks knacks for numerical treatment of nonlinear multi-delays SVEIR epidemic systems with vaccination. International Journal of Modern Physics B, p.2250100. I. F. 1.4.


    [136] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Ahmad, S. and Elattar, S., 2022. Neural artificial networking for a nonlinear darcy–forchheimer chemically reactive flow: Levenberg marquardt analysis. Modern Physics Letters B, p.2250095. I. F. 1.95.


    [135] Shoaib, M., Kainat, S., Raja, M.A.Z. and Nisar, K.S., 2022. Design of artificial neural networks optimized through genetic algorithms and sequential quadratic programming for tuberculosis model. Waves in Random and Complex Media, pp.1-24.. I. F 4.05.


    Raja, M.A.Z., Shoaib, M., Tabassum, R., Khan, M.I., Jagannatha, C.G., Gali, C. and Elattar, S., 2022. A stochastic intelligent approach for entropy optimized mixed convective second-order slip flow over a movable surface. Archive of Applied Mechanics, pp.1-20. I. F 2.47.

     

    [133] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z. and Morsy, A., 2022. Impact of thermal energy on MHD Casson fluid through a Forchheimer porous medium with inclined non-linear surface: A soft computing approach, Alexandria Engineering Journal, 61(12), pp 12211-12228. I. F 6.626.


    [132] Raja, M.A.Z., Shoaib, M., Zubair, G., Khan, M.I., Gowda, R.P., Prasannakumara, B.C. and Guedri, K., 2022. Intelligent neuro-computing for entropy generated Darcy-Forchheimer mixed convective fluid flow. Mathematics and Computers in Simulation. I. F 3.6.


    [131] Raja, M.A.Z., Shoaib, M., Abbas, A., Khan, M.I., Jagannatha, C.G., Gali, C., Malik, M.Y. and Alwetaishi, M., 2022. Neuro-computing intelligent networks for entropy optimized MHD fully developed nanofluid flow with activation energy and slip effects. Journal of the Indian Chemical Society, p.100504. I. F 0.24.


    [130] Awais, M., Rehman, H., Raja, M.A.Z., Awan, S.E., Ali, A., Shoaib, M. and Malik, M.Y., 2022. Hall effect on MHD Jeffrey fluid flow with Cattaneo–Christov heat flux model: an application of stochastic neural computing. Complex & Intelligent Systems, pp.1-25. I. F. 6.7.


    [129] Zuhra, S., Raja, M.A.Z., Shoaib, M., Khan, Z., Nisar, K.S., Islam, S. and Khan, I., 2022. Numerical analysis of Cattaneo–Christov heat flux model over magnetic couple stress Casson nanofluid flow by Lavenberg–Marquard backpropagated neural networks. Waves in Random and Complex Media, pp.1-28. I. F 4.05.

     

    [128] Shoaib, M., Rafia, T., Raja, M.A.Z., Khan, W.A. and Waqas, M., 2022. Further analysis of double-diffusive flow of nanofluid through a porous medium situated on an inclined plane: AI-based Levenberg–Marquardt scheme with backpropagated neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(6), pp.1-21. I. F 2.36.


    [127] Anwar, N., Ahmad, I., Raja, M.A.Z., Naz, S., Shoaib, M, and Kiani, A.K., 2022. Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. The European Physical Journal Plus, 137(1), pp.1-47. I. F 3.76.


    [126] Sabir, Z., Raja, M.A.Z., Umar, Shoaib, M, and Baleanu, D., 2022. FMNSICS: Fractional Meyer neuro-swarm intelligent computing solver for nonlinear fractional Lane–Emden systems. Neural Computing and Applications, 34(6), pp.4193-4206. I. F 5. 5.10.

    [125] Junsawang, P., Zuhra, S., Sabir, Z., Raja, M.A.Z., Shoaib, M., Botmart, T. and Weera, W., 2022. Numerical Simulations of Vaccination and Wolbachia on Dengue Transmission Dynamics in the Nonlinear Model. IEEE Access, 10, pp.31116-31144. I. F 3.48.


    [124] Raja, M.A.Z., Awan, S.E., Shoaib, M and Awais, M., 2022. Backpropagated Intelligent Networks for the Entropy Generation and Joule Heating in Hydromagnetic Nanomaterial Rheology Over Surface with Variable Thickness. Arabian Journal for Science and Engineering, pp.1-25. I. F 2.08.


    [123] Raja, M.A.Z., Tabassum, R., El-Zahar, E.R., Shoaib, M., Khan, M.I., Malik, M.Y., Khan, S.U. and Qayyum, S., 2022. Intelligent computing through neural networks for entropy generation in MHD third-grade nanofluid under chemical reaction and viscous dissipation. Waves in Random and Complex Media, pp.1-25. I. F 4.8.


    [122] Shah, Z., Raja, M.A.Z., Khan, W.A., Shoaib, M., Asghar, Z., Waqas, M. and Muhammad, T., 2022. Application of Levenberg–Marquardt technique for electrical conducting fluid subjected to variable viscosity. Indian Journal of Physics, pp.1-19. I. F 1.78.


    [121] Shoaib, M., Nisar, K.S., Raja, M.A.Z., Saad, M., Tabassum, R., Rafiq, A. and Ullah, I., 2022. Intelligent networks knacks for numerical treatment of three-dimensional Darcy–Forchheimer Williamson nanofluid model past a stretching surface. Waves in Random and Complex Media, pp.1-29. I. F 4.05.


    [120] Naz, S., Raja, M.A.Z., Kausar, A., Zameer, A., Mehmood, A. and Shoaib, M., 2022. Dynamics of nonlinear cantilever piezoelectric-mechanical system: An intelligent computational approach. Mathematics and Computers in Simulation. I. F. 3.6.


    [119] Shoaib, M., Kausar, M., Nisar, K.S., Raja, M.A.Z., Zeb, M. and Morsy, A., 2022. The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions. International Communications in Heat and Mass Transfer, 133, p.105971. I. F 6.78.


    [118] Bukhari, A.H., Raja, M.A.Z., Rafiq, N., Shoaib, M., Kiani, A.K. and Shu, C.M., 2022. Design of intelligent computing networks for nonlinear chaotic fractional Rossler system. Chaos, Solitons & Fractals, 157, p.111985. I. F 9.92.


    [117] Raja, M.A.Z., Naz, H., Shoaib, M. and Mehmood, A., 2022. Design of backpropagated neurocomputing paradigm for Stuxnet virus dynamics in control infrastructure. Neural Computing and Applications, pp.1-20. I. F. 5.10.


    [116] Awais, M., Shoaib, M., Raja, M.A.Z., Arif, S., Malik, M.Y., Nisar, K.S. and Ismail, K.A., 2022. Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology. Scientific Reports, 12(1), pp.1-14. I. F. 4.99.


    [115] Sabir, Z., Raja, M.A.Z., Shoaib, M., Sadat, R. and Ali, M.R., 2022. A novel design of a sixth-order nonlinear modeling for solving engineering phenomena based on neuro intelligence algorithm. Engineering with Computers, pp.1-16. I. F. 8.08.


    [114] Sun, T.C., Uddin, I., Raja, M.A.Z., Shoaib, M., Ullah, I., Jamshed, W. and Islam, S., 2022. Numerical investigation of thin-film flow over a rotating disk subject to the heat source and nonlinear radiation: Lobatto IIIA approach. Waves in Random and Complex Media, pp.1-15. I. F. 4.8.


    [113] Zahoor Raja, M.A., Shoaib, M., El-Zahar, E.R., Hussain, S., Li, Y.M., Khan, M.I., Islam, S. and Malik, M.Y., 2022. Heat transport in entropy-optimized flow of viscoelastic fluid due to Riga plate: analysis of artificial neural network. Waves in Random and Complex Media, pp.1-20, I. F. 4.05.


    [112] Raja, M.A.Z., Shoaib, M., Khan, Z., Zuhra, S., Saleel, C.A., Nisar, K.S., Islam, S. and Khan, I., 2022. Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes. Ain Shams Engineering Journal, 13(2), p.101573. I. F. 4.79.


    [111] Shoaib, M, Zubair, G., Raja, M.A.Z., Nisar, K.S., Abdel-Aty, A.H. and Yahia, I.S., 2022. Study of 3-D Prandtl Nanofluid Flow over a Convectively Heated Sheet: A Stochastic Intelligent Technique. Coatings, 12(1), p.24. I. F 3.24.


    [110] Zubair, G., Shoaib, M, Khan, M.I., Naz, I., Althobaiti, A., Raja, M.A.Z., Jameel, M. and Galal, A.M., 2022. Intelligent supervised learning for viscous fluid submerged in water based carbon nanotubes with irreversibility concept. International Communications in Heat and Mass Transfer, 130, p.105790. I. F. 6.78.


    [109] Raja, M.A.Z., Shoaib, M, Hussain, S., Nisar, K.S. and Islam, S., 2022. Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a stretching sheet. International Communications in Heat and Mass Transfer, 130, p.105799. I. F. 6.78.


    [108] Shoaib, M, Raja, M.A.Z., Farhat, I., Shah, Z., Kumam, P. and Islam, S., 2022. Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer. Alexandria Engineering Journal, 61(2), pp.1607-1623. I. F 6.26. 



     [107] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M., Kiani, A.K. and Islam, S., 2022. Thin film flow of carreau nanofluid over a stretching surface with magnetic field: Numerical treatment with intelligent computing paradigm. International Journal of Modern Physics B, 36(03), p.2250021. I. F. 1.4.


    [106] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2022. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering, 47(2), pp.1197-1210. I. F. 2.08.

    2021

    [105] Raja, M.A.Z., Shoaib, M, Tabassum, R., Khan, M.I., Gowda, R.P., Prasannakumara, B.C., Malik, M.Y. and Xia, W.F., 2021. Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface. International Journal of Modern Physics B, 35(26), p.2150269. I. F. 1.4.


    [104] Ullah, H., Khan, I., Fiza, M., Hamadneh, N.N., Fayz-Al-Asad, M., Islam, S., Khan, I., Raja, M.A.Z. and Shoaib, M, 2021. MHD boundary layer flow over a stretching sheet: A new stochastic method. Mathematical Problems in Engineering, 2021. I. F. 1.43.


    [103] Aljohani, J.L., Alaidarous, E.S., Raja, M.A.Z., Alhothuali, M.S. and Shoaib, M, 2021. Supervised Learning Algorithm to Study the Magneto hydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating. Arabian Journal for Science and Engineering, pp.1-14. I. F. 2.08.


    [102] Shoaib, M, Raja, M.A.Z., Zubair, G., Farhat, I., Nisar, K.S., Sabir, Z. and Jamshed, W., 2021. Intelligent computing with levenberg–marquardt backpropagation neural networks for third-grade nanofluid over a stretched sheet with convective conditions. Arabian Journal for Science and Engineering, pp.1-19. I. F. 2.08.


    [101] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2021. Intelligent computing technique based supervised learning for squeezing flow model. Scientific Reports, 11(1), pp.1-15.

    I. F. 4.99.


    [100] Ahmad, I., Ilyas, H., Raja, M.A.Z., Khan, Z. and Shoaib, M, 2021. Stochastic numerical computing with Levenberg-Marquardt backpropagation for performance analysis of heat Sink of functionally graded material of the porous fin. Surfaces and Interfaces, 26, p.101403. I. F. 6.14.


    [99] Shoaib, M, Raja, M.A.Z., Jamshed, W., Nisar, K.S., Khan, I. and Farhat, I., 2021. Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system. International Communications in Heat and Mass Transfer, 127, p.105544. I. F. 6.78.


    [98] Khan, W.U., Imran, A., Raja, M.A.Z., Shoaib, M, Awan, S.E., Kausar, K. and He, Y., 2021. A novel mathematical modeling with solution for movement of fluid through ciliary caused metachronal waves in a channel. Scientific reports, 11(1), pp.1-12. I. F. 4.99.


    [97] Ali, S., Ahmad, I., Raja, M.A.Z., Ahmad, S.U.I. and Shoaib, M, 2021. Design of evolutionary cubic spline intelligent solver for nonlinear Painlevé-I transcendent. International Journal of Modern Physics B, 35(29), p.2150299. I. F. 1.4.


    [96] Shoaib, M, Kausar, M., Khan, M.I., Zeb, M., Gowda, R.P., Prasannakumara, B.C., Alzahrani, F. and Raja, M.A.Z., 2021. Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system. International Communications in Heat and Mass Transfer, 129, p.105730. I. F. 5.68.


    [95] Shoaib, M, Zubair, G., Nisar, K.S., Raja, M.A.Z., Khan, M.I., Gowda, R.P. and Prasannakumara, B.C., 2021. Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm. International Communications in Heat and Mass Transfer, 129, p.105683. I. F. 6.78.


    [94] Raja, M.A.Z., Sabati, M., Parveen, N., Awais, M., Awan, S.E., Chaudhary, N.I., Shoaib, M, and Alquhayz, H., 2021. Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific reports, 11(1), pp.1-20. I. F. 4.99.


    [93] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Shoaib, M, Raja, M.A.Z., Gumaei, A. and Ikhlaq, F., 2021. Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method. Journal of Function Spaces, 2021. I. F. 1.281.


    [92] Sabir, Z., Raja, M.A.Z., Baleanu, D., Cengiz, K. and Shoaib, M, 2021. Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically. Nonlinear Dynamics, 106(4), pp.3199-3214. I. F. 5.02.


    [91] Shoaib, M, Khan, R.A., Ullah, H., Nisar, K.S., Raja, M.A.Z., Islam, S., Felemban, B.F. and Yahia, I.S., 2021. Heat Transfer Impacts on Maxwell Nanofluid Flow over a Vertical Moving Surface with MHD Using Stochastic Numerical Technique via Artificial Neural Networks. Coatings, 11(12), p.1483. I. F. 3.24.


    [90] Shoaib, M, Tabassum, R., Nisar, K.S., Raja, M.A.Z., Rafiq, A., Khan, M.I., Jamshed, W., Abdel-Aty, A.H., Yahia, I.S. and E Mahmoud, E., 2021. Entropy Optimized Second Grade Fluid with MHD and Marangoni Convection Impacts: An Intelligent Neuro-Computing Paradigm. Coatings, 11(12), p.1492. I. F. 3.24.


    [89] Jamshed, W., Baleanu, D., Nasir, N.A.A.M., Shahzad, F., Nisar, K.S., Shoaib, M, Ahmad, S. and Ismail, K.A., 2021. The improved thermal efficiency of Prandtl–Eyring hybrid nanofluid via classical Keller box technique. Scientific Reports, 11(1), pp.1-24. I. F. 4.99.


    [88] Ullah, H., Khan, I., AlSalman, H., Islam, S., Asif Zahoor Raja, M., Shoaib, M, Gumaei, A., Fiza, M., Ullah, K., Rahman, M. and Md, S., 2021. Levenberg–Marquardt Backpropagation for Numerical Treatment of Micropolar Flow in a Porous Channel with Mass Injection. Complexity, 2021. I. F. 2.12.


    [87] Shoaib, M, Raja, M.A.Z., Sabir, M.T., Nisar, K.S., Jamshed, W., Felemban, B.F. and Yahia, I.S., 2021. MHD Hybrid Nanofluid Flow Due to Rotating Disk with Heat Absorption and Thermal Slip Effects: An Application of Intelligent Computing. Coatings, 11(12), p.1554. I. F. 3.24.


    [86] Khan, I., Raja, M.A.Z., Khan, M.A.R., Shoaib, M., Islam, S. and Shah, Z., 2021. Design of backpropagated intelligent networks for nonlinear second-order Lane–Emden pantograph delay differential systems. Arabian Journal for Science and Engineering, pp.1-14. I. F2.08.


    [85] Almalki, M.M., Alaidarous, E.S., Raja, M.A.Z., Maturi, D.A. and Shoaib, M, 2021. Optimization through the Levenberg—Marquardt Backpropagation Method for a Magnetohydrodynamic Squeezing Flow System. Coatings, 11(7), p.779. I. F 3.24.


    [84] Ilyas, H., Ahmad, I., Raja, M.A.Z., Tahir, M.B. and Shoaib, M, 2021. Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating. International Journal of Hydrogen Energy, 46(55), pp.28298-28326. I. F. 7.14.


    [83] Uddin, I., Ullah, I., Raja, M.A.Z., Shoaib, M, Islam, S., Zobaer, M.S., Nisar, K.S., Saleel, C.A. and Alshahrani, S., 2021. The intelligent networks for double-diffusion and MHD analysis of thin film flow over a stretched surface. Scientific Reports, 11(1), pp.1-20. I. F. 4.99.


    [82] Raja, M.A.Z., Khan, Z., Zuhra, S., Chaudhary, N.I., Khan, W.U., He, Y., Islam, S. and Shoaib, M, 2021. Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks approach. Case Studies in Thermal Engineering, p.101168. I. F 6.268.



    [81] Khan, R.A., Ullah, H., Raja, M.A.Z., Khan, M.A.R., Islam, S. and Shoaib, M, 2021. Heat transfer between two porous parallel plates of steady nano fludis with Brownian and Thermophoretic effects: A new stochastic numerical approach. International Communications in Heat and Mass Transfer, 126, p.105436. I. F6.78.


    [80] Kiani, A.K., Khan, W.U., Raja, M.A.Z., He, Y., Sabir, Z. and Shoaib, M, 2021. Intelligent backpropagation networks with bayesian regularization for mathematical models of environmental economic systems. Sustainability, 13(17), p.9537. I. F. 3.89.



    [79] Sabir, Z., Ali, M.R., Raja, M.A.Z., Shoaib, M, Núñez, R.A.S. and Sadat, R., 2021. Computational intelligence approach using Levenberg–Marquardt backpropagation neural networks to solve the fourth-order nonlinear system of Emden–Fowler model. Engineering with Computers, pp.1-17. I. F. 8.08.


    [78] Khan, I., Ullah, H., AlSalman, H., Fiza, M., Islam, S., Zahoor Raja, A., Shoaib, M, and Gumaei, A.H., 2021. Falkner–Skan equation with heat transfer: a new stochastic numerical approach. Mathematical Problems in Engineering, 2021. I. F. 1.43.

    [77] M. Amir, I. Ahmad, M.A.Z Raja and Muhammad Shoaib, 2021, Design of spline–evolutionary computing paradigm for nonlinear thin film flow model. Arabian Journal for Science and Engineering, 46(9), pp.9279-9299. I. F. 2.08.


    [76] Ilyas, H., Raja, M.A.Z., Ahmad, I. and Shoaib, M., 2021. A novel design of Gaussian Wavelet Neural Networks for nonlinear Falkner-Skan systems in fluid dynamics. Chinese Journal of Physics, 72, pp.386-402. Chinese Journal of Physics. I. F. 3.96.


    [75] Muhammad Shoaib, M.A.Z Raja, M.A. Khan, S.E. Awan, 2021. Neuro Computing Networks for Entropy Generation under the Influence of MHD and Thermal Radiation. Surfaces and Interfaces, p.101243. I. F. 6.14. 


    [74] Umar, M., Sabir, Z., Raja, M.A.Z., Aguilar, J.G., Amin, F. and Shoaib, M., 2021. Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells. Mathematics and Computers in Simulation, 188, pp.241-253. I. F. 3.6.


    Ishtisham Jadoon, Muhammad Junaid, Ashfaq Ahmed, Ata ur Rehman, Muhammad Shoaib, Muhammad Asif Zahoor Raja. 2020. Integrated meta-heuristics finite difference method for the dynamics of nonlinear unipolar electrohydrodynamic pump flow model. Applied Soft Computing, 97, p.106791. I. F 8.26.

     

    [52] Muhammad Shoaib, Muhammad Asif Zahoor Raja, Zahir Shah, Poom Kumam. 2020. Numerical investigation for rotating flow of MHD hybrid nanofluid with thermal radiation over a stretching sheet. Scientific Reports, 10(1), pp.1-15. I. F 4.99.


    [51] Almalki, M.M., Alaidarous, E.S., Maturi, D.A., Raja, M.A.Z. and Shoaib, M., 2020. A Levenberg–Marquardt backpropagation neural network for the numerical treatment of squeezing flow with heat transfer model. IEEE Access, 8, pp.227340-227348. I. F. 3.48.


    [50]  Muhammad Awais, Saeed Ehsan Awan, Muhammad Awais, Muhammad Shoaib, Muhammad Asif Zahoor Raja, 2020. Rheology of hydro-magnetic polymeric material with heat generation/absorption and chemical reaction. Journal of the National Science Foundation of Sri Lanka, 48(4). I. F. 1.24.


    [49] Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan, 2020. Design of neural network based intelligent computing for neumerical treatment of unsteady 3D flow of Eyring-Powell magneto-nanofluidic model. Journal of Materials Research and Technology, 9(6), pp.14372-14387. I. F. 6.27.


    [48] Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhamamd Shoaib, Manoj Gupta, Yolanda Guerrero, 2020. A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel FtCOVID-19 Dynamics. Symmetry, 12(10), p.1628. I. F. 3.11.


    [47] Chun Ouyang, Muhammad Asif Zahoor Raja, Shafaq Naz,Yasam Ali, Sayyar Ali Shah, Aihua yuan, Rizwan Akhtar, Iftikhar Ahmad and Muhammad Shoaib, 2020. Numerical Computing for Investigation of Oblique Magnetic Viscous Dissipative Transport for Chemically Reactive Micro Rotations in a Porous Medium. Journal of Nanoelectronics and Optoelectronics, 15(10), pp.1248-1259. I. F. 0.97.


    [46] Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Shafaq Naz, Hira Ilyas, Muhammad Shoaib, 2020. Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. The European Physical Journal Plus, 135(11), pp.1-35. I. F 3.76.


    [45] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Juan, Gairao, 2020. Integrated intelligent computing with neuro-swarming solver for multi-singular fourth-order nonlinear Emden–Fowler equation. Computational and Applied Mathematics, 39(4), pp.1-18. I.F. 2.62.


    [44] Ifikhar Ahmed, Muhammad Asif Zahoor Raja, Muhammad Bilal, Muhammad Shoaib, 2020. Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically. Neural Computing and Applications, pp.1-17. I. F 5.10.


    [43] Imtiaz Khan, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Poom Kumam, Hussam Alrabaiah, Zahir Shah, and Saeed Islam. 2020. Design of Neural Network with Levenberg-Marquardt and Bayesian Regularization Backpropagation for Solving Pantograph Delay Differential Equations. IEEE Access, 8, pp.137918-137933. I.F. 3.48.


    [42] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, J. F. Gómez Aguilar, 2020. FMNEICS: fractional Meyer neuro-evolution-based intelligent computing solver for doubly singular multi-fractional order Lane–Emden system. Computational and Applied Mathematics, 39(4), pp.1-18. I. F 2.62.

     

    [41] Sabir, Z., Raja, M.A.Z., Wahab, H.A., Shoaib, M. and Aguilar, J.G., 2020. Integrated neuro‐evolution heuristic with sequential quadratic programming for second‐order prediction differential models. Numerical Methods for Partial Differential Equations. I. F. 3.57.


    [40] M. Awais, Saeed Ehsan, Muhammad Shoaib, M. A. Z. Raja, 2020. Effects of Gyro-Tactic Organisms in Bio-convective Nano-material with Heat Immersion, Stratification, and Viscous Dissipation. Arabian Journal for Science and Engineering, pp.1-14. I. F 2.08.


    [39] Waseem Waseem, Muhammad Sulaiman, Poom Kumam, Muhammad Shoaib, Muhammad Asif Zahoor Raja, and Saeed Islam. 2020. Investigation of singular ordinary differential equations by a neuroevolutionary approach. Plos one, 15(7), p.e0235829. (I.F: 3.752)


    [38] Ouyang Chun, Muhammad Asif Zahoor Raja, Shafaq Naz, Iftikhar Ahmad, Rizwan Akhtar, Yasam Ali, and Muhammad Shoaib. 2020. Dynamics of inclined magnetic field effects on micropolar Casson fluid with Lobatto IIIA numerical solver. AIP Advances, 10(6), p.065023. (I.F: 1.697)


    [37] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Design of neuro-swarming-based heuristics to solve the third-order nonlinear multi-singular Emden–Fowler equation. The European Physical Journal Plus, 135(5), p.410. (I.F: 3.76 )


    [36] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Umar, and Muhammad Shoaib. 2020. Neuro-swarm intelligent computing to solve the second-order singular functional differential model. The European Physical Journal Plus, 135(6), pp.1-19. (I.F: 3.76)


    [35] Ouyang Chun, Rizwan Akhtar, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Muhammad Awais, and Muhammad Shoaib. 2020. Numerical treatment with Lobatto IIIA technique for radiative flow of MHD hybrid nanofluid (Al2O3—Cu/H2O) over a convectively heated stretchable rotating disk with velocity slip effects. AIP Advances, 10(5), p.055122. (I.F: 1.697)


    [34] Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. neural network for nonlinear dusty plasma system. Alexandria Engineering Journal, 59(5), pp.3325-3345. (I.F6.626)


    [33] Muhammad Umar, Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Afaf S. Alwabli, and Muhammad Shoaib. 2020. A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment. The European Physical Journal Plus, 135(7), pp.1-23. (I.F: 3.76)

    .

    [32] Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan LG Guirao, and Muhammad Shoaib. 2020. A Neuro-Swarming Intelligence-Based Computing for Second Order Singular Periodic Non-linear Boundary Value Problems. Front. Phys, 8, p.224. (I.F: 3.718)


    [31] Zulqurnain Sabir, Ali Imran, Muhammad Umar, Muhammad Zeb, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. A numerical approach for two-dimensional Sutterby fluid flow bounded at a stagnation point with an inclined magnetic field and thermal radiation impacts. Thermal Science, (00), pp.186-186. (I.F: 1.62)


    [30] Muhammad Umar, Zulqurnain Sabir, Ali Imran, Abdul Hafiz Wahab, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. The 3-D flow of Casson nanofluid over a stretched sheet with chemical reactions, velocity slip, thermal radiation and Brownian motion. Thermal Science, 24(5 Part A), pp.2929-2939. (I.F: 1.62)


    [29] Bukhari, Ayaz Hussain, Muhammad Asif Zahoor Raja, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, and Poom Kumam. 2020. Fractional neuro-sequential ARFIMA-LSTM for financial market forecasting. IEEE Access, 8, pp.71326-71338. I.F 3.48.


    [28] Imran, Ali, Rizwan Akhtar, Zhu Zhiyu, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2020. Heat transfer analysis of biological nanofluid flow through ductus efferentes. AIP Advances, 10(3), p.035029. (I.F: 1.697)


    [27] Waseem Waseem, Muhammad Sulaiman, Saeed Islam, Poom Kumam, Rashid Nawaz, Muhammad Asif Zahoor Raja, Muhammad Farooq, Muhammad Shoaib, 2020. A study of changes in temperature profile of porous fin model using cuckoo search algorithm. Alexandria Engineering Journal, 59(1), pp.11-24.

    (I.F: 6.626)


    [26] Faisal, F., Shoaib, M. and Raja, M.A.Z., 2020. A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines. The European Physical Journal Plus, 135(1), pp.1-29.

    (I.F: 3.76)


    [25] Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam Muhammad Asif Zahoor Raja, 2020. Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations. Alexandria Engineering Journal, 59(1), pp.101-116.  (I.F: 6.626)

    [24] Rana, M.A., Ali, Y., Shoaib, M. and Numan, M., 2019. Magnetohydrodynamic Three-Dimensional Couette Flow of a Second-Grade Fluid with Sinusoidal Injection/Suction. Journal of Engineering Thermophysics, 28(1), pp.138-162. (I.F: 2.03)

     

    [23] I. Ahmad. H. Ilyas, A. Urooj, M. S. Aslam, Muhammad Shoaib, M.A.Z. Raja, 2019. Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels. Neural Computing and Applications, 31(12), pp.9041-9059. (I.F: 5.10)

     

    [22] Shoaib, M., Akhtar, R., Khan, M.A.R., Rana, M.A., Siddiqui, A.M., Zhiyu, Z. and Raja, M.A.Z., 2019. A Novel Design of Three-Dimensional MHD Flow of Second-Grade Fluid past a Porous Plate. Mathematical Problems in Engineering, 2019. (I.F: 1.30) 


    [21] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Raja, M.A.Z., 2019. Analysis of MHD and heat transfer effects with variable viscosity through ductus efferences. AIP Advances, 9(8), p.085320. (I.F: 1.54)

    .

    [20] Imran, A., Akhtar, R., Zhiyu, Z., Shoaib, M. and Zahoor Raja, M.A., 2019. MHD and heat transfer analyses of a fluid flow through scraped surface heat exchanger by analytical solver. AIP Advances, 9(7), p.075201. (I.F: 1.697)


    [19] Sabir, Z., Akhtar, R., Zhiyu, Z., Umar, M., Imran, A., Wahab, H.A., Shoaib, M. and Raja, M.A.Z., 2019. A Computational Analysis of Two-Phase Casson Nanofluid Passing a Stretching Sheet Using Chemical Reactions and Gyrotactic Microorganisms. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [18] Uddin, I., Akhtar, R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for Darcy-Forchheimer Flow of Sisko Nanomaterial with Nonlinear Thermal Radiation by Lobatto IIIA Technique. Mathematical Problems in Engineering, 2019. (I.F: 1.43)


    [17] Umar, M., Akhtar, R., Sabir, Z., Wahab, H.A., Zhiyu, Z., Imran, A., Shoaib, M. and Raja, M.A.Z., 2019. Numerical Treatment for the Three-Dimensional Eyring-Powell Fluid Flow over a Stretching Sheet with Velocity Slip and Activation Energy. Advances in Mathematical Physics, 2019. (I.F: 1.36).


    [16] Uddin, I., Akhtar, R., Khan, M.A.R., Zhiyu, Z., Islam, S., Shoaib, M. and Raja, M.A.Z., 2019. Numerical treatment for fluidic system of activation energy with non-linear mixed convective and radiative flow of magneto nanomaterials with Navier’s velocity slip. AIP Advances, 9(5), p.055210. (I.F: 1.697).

    2018

    [15] Sadia Siddiqa, Naheed Begham, Md. Anwar Hossain, M. Shoaib and Rama Subba Reddy Golra, 2018. Radiative heat transfer analysis of non-Newtonian dusty Casson fluid flow along a complex wavy surface. Numerical Heat Transfer, Part A: Applications, 73(4), pp.209-221. (I.F: 2.57).


    [14] Rana, M.A., Ali, Y. and Shoaib, M., 2018. Three-dimensional Couette flow of a Jeffrey fluid along periodic injection/suction. Arabian Journal of Mathematics, 7(3), pp.229-247. . I.F: 6.79.


    [13] Ali, Y., Rana, M.A. and Shoaib, M., 2018. Perturbation Analyses of Three-Dimensional Flow of a Maxwell Fluid with Sinusoidal Injection/Suction. Journal of Nanofluids, 7(6), pp.1101-1112. I.F: 1.79


    [12] R. Tajammal, M. A. Rana, N. Z. Khan, M. Shoaib, 2018, January. Slip effect on combined heat and mass transfer in three dimensional MHD porous flow having heat. In 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 635-644). IEEE.

    2017

    [11] Afnan Hossain Nagoor, Eman Salem Alaidarous, Muhammad Touseef Sabir, Muhammad Shoaib, and Muhammad Asif Zahoor Raja. 2017. Three-dimensional rotating flow of carbon nanotubes with Darcy-Forchheimer porous medium. PLoS One, 12(7), p.e0179576. (I.F: 3.752).


    [10] Shahab Ud Din Khan, Salah Ud-Din Khan, Song Yuntao, Mahmood Ul Hassan, M. Shoaib, Ghulam Farid, Development and Verification of computer model for control of plasma and halo current in EAST Tokama, 27th IEEE Symposium on Fusion Engineering (SOFE), (2017) (Accepted).


    [9] M. Imran, A. M. Siddiqui, M. A. Rana and M. Shoaib 2017. Flow of second grade fluid in a scraped surface heat exchanger. Journal of Food Process Engineering, 40(2), p.e12393. (I.F: 2.89).


    [8] M. A. Rana, Y. Ali and M. Shoaib, 2017, January. Three-dimensional flow of an upper convected Maxwell fluid between two horizontal parallel porous plates with periodic injection/suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 561-568). IEEE.


    [7] M. Shoaib, R. Perveen and M. A. Rana, 2017, January. Slip effect on three dimensional mhd flow of viscous fluid along an infinite plane with periodic suction. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 575-580). IEEE.


    [6] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. Three-dimensional flow of Jeffrey fluid along an infinite plane wall with periodic suction. Meccanica, 52(11), pp.2705-2714. (I.F: 2.54)


    [5] M. Shoaib, M. A. Rana and A. M. Siddiqui, 2017. The effect of slip condition on the three-dimensional flow of Jeffrey fluid along a plane wall with periodic suction. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(7), pp.2495-2503. (I.F: 2.36).


    [4] M. A. Rana, Y. Ali and M. Shoaib, “Effect of magneto hydrodynamic on three-dimensional Second grade fluid between two horizontal porous plates with periodic suction/injection “International conference on computing and Mathematical Sciences. (February 2017) (Accepted).

    2016

    [3] M. Shoaib, M. A. Rana, A. M. Siddiqui, (2016) “Three-dimensional flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction”, Journal of Computational and Theoretical Nanoscience, 13(8), 5247-5253, (I.F: 1.67).


    [2] M. Shoaib, A. M. Siddiqui, M. A. Rana and M. Imran, 2016. Three-dimensional flow of a second-grade fluid along an infinite horizontal plane wall with periodic suction. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 18(1), pp.153-170. (I.F: 0.391).


    [1] M. Shoaib, M. A. Rana, A. M. Siddiqui and M. Darus, (2016) Three-dimensional magneto hydrodynamics flow of upper convected Maxwell fluid along an infinite plane wall with periodic suction, Journal (Journal of computational and theoretical nanoscience), 13(9), 1-9 (I.F: 1.67 ).


    List of Accepted Papers

     Ten papers have been accepted.


    AppList of Submissions

    Approximately 60 research articles have been submitted in different International Journals of repute.

  • 得獎事蹟

    1. COMSATS University Islamabad, Pakistan has honored me for achieving recognition among the top 2% of scientists worldwide in the Mendeley Data, V4 ranking released by Stanford University for the year 2022.
    2. Top researcher in COMSATS University Islamabad, Attock Campus in the last two years 2021 and 2022.
    3. Yuan Ze University, Taiwan has graciously acknowledged my achievement of being recognized among the top 2% of scientists worldwide in the prestigious Mendeley Data, V4 ranking released by Stanford University for the year 2023 and 2024.
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