Dr. Asad Ullah
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Dr. Asad Ullah

Associate Professor and Chair
Department of Mathematical Sciences, Faculty of Natural Sciences and Engineering, Karakoram International University Gilgit, Gilgit, Pakistan

Highest Degree
Ph.D. in Engineering from University of Science & Technology of China, China

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Biography

Dr. Asad Ullah is a faculty member in the department of Mathematical Sciences at Karakoram International University Gilgit (KIU) since 2006. He is currently serving as Associate Professor and Chairman of the department of Mathematical Sciences. He obtained his Masters Degree in Mathematics from KIU with distinction (Gold medal) and Doctors Degree from University of Science and Technology Beijing.

Area of Interest:

Mathematics
100%
Applied Mathematical Modeling
62%
Graph Theory
90%
Polycrystalline Materials
75%
Dynamical Cell Structures Evolution
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
62
Abstracts
8

Selected Publications

  1. Zhang, B., B. Wang, W. Xue, A. Ullah, T. Zhang and H. Wang, 2023. Development of a machine learning model for prediction of continuous cooling transformation diagrams in welding heat-affected zone. J. Mater. Sci., 58: 4795-4808.
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  2. Zaman, S., M. Jalani, Asad Ullah, M. Ali and T. Shahzadi, 2023. On the topological descriptors and structural analysis of cerium oxide nanostructures. Chem. Pap., 77: 2917-2922.
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  3. Zaman, S., M. Jalani, A. Ullah, W. Ahmad and Ghulamullah Saeedi, 2023. Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications. Sci. Rep., Vol. 13. 10.1038/s41598-023-32347-4.
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  4. Zaman S. and A. Ullah, 2023. Kemeny's constant and global mean first passage time of random walks on octagonal cell network. Math Methods Appl. Sci., 10.1002/mma.9046.
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  5. Yu, X., S. Zaman, A. Ullah, Ghulamullah Saeedi and X. Zhang, 2023. Matrix analysis of hexagonal model and its applications in global mean-first-passage time of random walks. IEEE Access, 11: 10045-10052.
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  6. Yan, T., Z. Kosar, A. Aslam, S. Zaman and A. Ullah, 2023. Spectral techniques and mathematical aspects of K4 chain graph. Phys. Scr., Vol. 98. 10.1088/1402-4896/acc4f0.
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  7. Ullah, A., S. Udin, S. Zaman and A. Humraz, 2023. Zagreb connection topological descriptors and structural property of the triangular chain structures. Phys. Scr., 10.1088/1402-4896/acb327.
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  8. Zaman, S., M. Jalani, Asad Ullah and G. Saeedi, 2022. Structural analysis and topological characterization of Sudoku Nanosheet. J. Math., Vol. 2022 10.1155/2022/5915740.
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  9. Ullah, A., Shamsudin, S. Zaman, A. Hamraz and G. Saeedi, 2022. Network-based modeling of the molecular topology of fuchsine acid dye with respect to some irregular molecular descriptors. J. Chem., 10.1155/2022/8131276.
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  10. Saleem, M., F. Haq, A. Ullah, M. Ur Rahman and O.T. Bafakeeh, 2022. Numerical investigation of irreversibility in bioconvective flow of sisko nanofluid with arrhenius energy. J. Comput. Biophys. Chem., 10.1142/S2737416523400057.
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  11. Hussain, S., A. Shah, A. Ullah and F. Haq, 2022. The q-homotopy analysis method for a solution of the Cahn-Hilliard equation in the presence of advection and reaction terms. J. Taibah Univ. Sci., 16: 813-819.
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  12. Haq, F., Asadullah, M.I. Khan and S.U. Khan, 2022. Modeling and analysis of cattaneo-christov double diffusion model for chemically reactive magnetized tangent hyperbolic nanofluid. Int. J. Appl. Comput. Math., Vol. 8. 10.1007/s40819-022-01342-0.
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  13. Geng, X., Z. Cheng, S. Wang, C. Peng, A. Ullah, H. Wang and G. Wu, 2022. A data-driven machine learning approach to predict the hardenability curve of boron steels and assist alloy design. J. Mater. Sci., 57: 10755-10768.
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  14. Geng, X., X. Mao, H.H. Wu, S. Wang and W. Xue et al., 2022. A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels. J. Mater. Sci. Technol., 107: 207-215.
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  15. Geng, X., S. Wang, Asad Ullah, G. Wu and H. Wang, 2022. Prediction of hardenability curves for non-boron steels via a combined machine learning model. Materials, Vol. 15. 10.3390/ma15093127.
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  16. Asad Ullah, M. Qasim, S. Zaman and A. Khan, 2022. Computational and comparative aspects of two carbon nanosheets with respect to some novel topological indices Ain Shams Eng. J., Vol. 13. 10.1016/j.asej.2021.101672.
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  17. Asad Ullah, A. Zeb and S. Zaman, 2022. A new perspective on the modeling and topological characterization of H-Naphtalenic nanosheets with applications. J. Mol. Model., Vol. 28. 10.1007/s00894-022-05201-z.
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  18. Al Khabyah, A., S. Zaman, A.N.A. Koam, A. Ahmad and Asad Ullah, 2022. Minimum Zagreb eccentricity indices of two-mode network with applications in boiling point and benzenoid hydrocarbons. Mathematics, Vol. 10. 10.3390/math10091393.
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  19. Khan, A., S. Hayat, M. Ahmad, J. Cao, M.F. Tahir, Asad Ullah and M.S. Javed, 2021. Learning-detailed 3D face reconstruction based on convolutional neural networks from a single image. Neural Comput. Appl., 33: 5951-5964.
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  20. Khan, A., M.A. Ashraf, M.A. Javeed, M.S. Sarfraz, Asad Ullah and M.M.A. Khan, 2021. Electronic guidance cane for users having partial vision loss disability. Wireless Commun. Mobile Comput., Vol. 2021 10.1155/2021/1628996.
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  21. Huang, X., H. Wang, W. Xue, S. Xiang and H. Huang et al., 2020. Study on time-temperature-transformation diagrams of stainless steel using machine-learning approach. Comput. Mater. Sci., Vol. 171. 10.1016/j.commatsci.2019.109282.
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  22. Huang, X., H. Wang, W. Xue, Asad Ullah and S. Xiang et al., 2020. A combined machine learning model for the prediction of time-temperature-transformation diagrams of high-alloy steels. J. Alloys Compd., Vol. 823. 10.1016/j.jallcom.2020.153694.
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  23. Huang, H., G. Liu, H. Wang, Asad Ullah and B. Hu, 2020. Dissolution behavior and kinetics of γ′ phase during solution treatment in powder metallurgy nickel-based superalloy. Metall. Mater. Trans. A, 51: 1075-1084.
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  24. Geng, X., H. Wang, Asad Ullah, W. Xue, S. Xiang, L. Meng and G. Ma, 2020. Prediction of continuous cooling transformation diagrams for Ni-Cr-Mo welding steels via machine learning approaches. JOM, 72: 3926-3934.
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  25. Khan, M., Y. Zeng, Z. Lan and Asad Ullah, 2019. Modulating the photo-active anatase TiO2 by cationic co-dopants: A case of iron and lanthanum. Mater. Res. Express, Vol. 6. 10.1088/2053-1591/ab0a45.
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  26. Hussain, S., A. Shah, S. Ayub and Asad Ullah, 2019. An approximate analytical solution of the Allen-Cahn equation using homotopy perturbation method and homotopy analysis method. Heliyon, Vol. 5. 10.1016/j.heliyon.2019.e03060.
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  27. Asad Ullah, M. Shaheen, A. Khan, M. Khan and K. Iqbal, 2019. Evaluation of topology-dependent growth rate equations of three-dimensional grains using realistic microstructure simulations. Mater. Res. Express, Vol. 6. 10.1088/2053-1591/aaecc3.
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  28. Mati ur Rahman, H.U. Wazir, M. Khan, S. Nosheen, Sami Ur Rahman and Asad Ullah, 2017. Precursor-induced template free hydrothermal synthesis of faujasite and its application in catalytic pyrolysis. Mater. Res. Express, Vol. 4. 10.1088/2053-1591/aa6e68.
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  29. Khan, M., Z. Yi, U. Fawad, W. Muhammad, Abdul Niaz, M.I. Zaman and Asad Ullah, 2017. Enhancing the photoactivity of TiO2 by codoping with silver and molybdenum: The effect of dopant concentration on the photoelectrochemical properties. Mater. Res. Express, Vol. 4. 10.1088/2053-1591/aa69a0.
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  30. Asad Ullah, Ubaidullah, M. Khan, X. Weihua and S. Hussain et al., 2017. Simulations of grain growth in realistic 3D polycrystalline microstructures and the MacPherson-Srolovitz equation. Mater. Res. Express, Vol. 4. 10.1088/2053-1591/aa7317.
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  31. Yin, H., H. Li, Z. Abideen, X. Qu, A. Ullah. and M. Ellahi, 2014. Effect of impact force on Ti-10Mo alloy powder compaction by high velocity compaction technique. Mater. Des., 54: 149-153.
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  32. Ullah, A., G. Liu, J. Luan, W. Li, M.U. Rahman and M. Ali, 2014. Three-dimensional visualization and quantitative characterization of grains in polycrystalline iron. Mater. Charact., 91: 65-75.
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  33. Khan, M., J. Li, W. Cao and A. Ullah, 2014. Advancement in the photocatalytic properties of TiO 2 by vanadium and yttrium codoping: Effect of impurity concentration on the photocatalytic activity. Sep. Purif. Technol., 130: 15-18.
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  34. Karim, E., S. Hussain, A. Ullah and F. Haq, 2014. Numerical solutions of cubic and modified cubic boussinesq equation using homotopy analysis method. World Appl. Sci. J., 32: 650-654.
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  35. Xiao, X., G. Liu, B. Hu, J. Wang and A. Ullah, 2013. Effect of V and Ta on the precipitation behavior of 12% Cr reduced activation ferrite/martensite steel. Mater. Charact., 82: 130-139.
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  36. Ullah, A., G. Liu, H. Wang, M. Khan, D.F. Khan and J. Luan, 2013. Optimal approach of three-dimensional microstructure reconstructions and visualizations. Mater. Express, 3: 109-118.
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  37. Ullah, A., G. Liu, H. Wang, K. Matiullah, F.K. Dil and I.M. Zubair, 2013. Neighborhood topological effect on grain topology-size relationship in three-dimensional polycrystalline microstructures. Chin. Sci. Bull., 58: 3704-3708.
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  38. Li, W., G. Liu, H. Wang, H. Zhang, J. Luan and A. Ullah, 2013. Topological correlations of grain faces in polycrystal with experimental verification. Europhys. Lett., Vol. 104 .
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  39. Khaskheli, M.A., P. Wu, A.M. Soomro, M. Khan, M. Ellahi and M.S. Kalhoro, 2013. Fabrication and Electrical characteristic of quaternary ultrathin HfTiErO thin films for MOS devices grown by rf sputtering. Chem. Mater. Res., 3: 41-47.
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  40. Khaskheli, M., M.S. Kalhoro, A. Nizamani, M. Ellahi and M. Khan et al., 2013. Eectrical and Photonics characteristics of hftiero thin films deposited at 673 K substrate temperature. Sindh Univ. Res. J., Vol. 45 .
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  41. Khan, M., W. Cao, N. Chen, A. Ullah and M.Z. Iqbal, 2013. Ab-initio calculations of synergistic chromium -nitrogen codoping effects on the electronic and optical properties of anatase TiO2. Vacuum, 92: 32-38.
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  42. Khan, M., J. Xu, N. Chen, W. Cao, A. Ullah, Z. Usman and D.F. Khan, 2013. Effect of Ag doping concentration on the electronic and optical properties of anatase TiO2: A DFT-based theoretical study. Res. Chem. Intermed., 39: 1633-1644.
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  43. Khan, D.F., H.Q. Yin, M. Matiullah, A. Ullah and X.H. Qu, 2013. Analysis of density and mechanical properties of iron powder with upper relaxation assist through high velocity compaction. Mater. Sci. Forum, 749: 41-46.
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  44. Xiao, X., G.Q. Liu, B.F. Hu, X. Zheng, L.N. Wang, S.J. Chen and A. Ullah, 2012. A comparative study on Arrhenius-type constitutive equations and artificial neural network model to predict high-temperature deformation behaviour in 12Cr3WV steel. Comput. Mater. Sci., 62: 227-234.
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  45. Wang, H., G. Liu, A. Ullah and J. Luan, 2012. Topological correlations of three-dimensional grains. Appl. Phys. Lett., Vol. 101 10.1063/1.4739443.
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  46. Ullah, A., G. Liu, H. Wang, D.F. Khan and M. Khan, 2012. A framework for image processing, analysis and visualization of materials microstructures using ImageJ package. Chin. J. Stereology image Anal., 17: 301-312.
  47. Luan, J.H., G.Q. Liu, H. Wang and A. Ullah, 2012. A note on grain topology-size relationship of three-dimensional polycrystalline microstructures. Europhys. Lett., Vol. 99 .
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  48. Iqbal, M.Z., F. Wang, M.Y. Rafique, A. Ullah and H. Qiu, 2012. Synthesis of novel clinopinacoid structure of stannous oxide and hydrogen absorption characteristics. Mater. Lett., 78: 50-53.
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  49. Luan, J., G. Liu, H. Wang and A. Ullah, 2011. On the sampling of three-dimensional polycrystalline microstructures for distribution determination. J. Microsc., 244: 214-222.
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