Dr. Rehan Ullah Khan

Assistant Professor
Qassim University, Saudi Arabia

Highest Degree
Ph.D. in Computer Sciences from Technical University of Vienna, Austria

My URL
https://livedna.org/966.31267

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Area of Interest:

Computer Sciences
Computer Engineering
Information Management
Information Technology
Telecommunication

Selected Publications

  1. Khan, K., M. Attique, I. Syed, G. Sarwar, M.A. Irfan and R.U. Khan, 2019. A unified framework for head pose, age and gender classification through end-to-end face segmentation. Entropy, Vol. 21, No. 7. 10.3390/e21070647.
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  2. Khan, A.H., A.M. Qamar, A. Yusuf and R. Khan, 2019. Software abstractions for large-scale deep learning models in big data analytics. Int. J. Adv. Comput. Sci. Applic., 10: 557-566.
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  3. Rahman, H.U., R.U. Khan and A. Ali, 2018. Programming and Pre-Processing Systems for Big Data Storage and Visualization. In: Handbook of Research on Big Data Storage and Visualization Techniques, Segall, R.S. and J.S. Cook (Eds.). Chapter 9, IGI Global, Hershey, PA., USA., ISBN-13: 9781522531425, pp: 228-253.

  4. Khan, R.U., 2018. Deep learning features fusion with classical image features for image access. Int. J. Adv. Comput. Sci. Applic., 9: 44-47.
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  5. Khan, R.U. and A. Alkhalifah, 2018. Media content access: Image-based filtering. Int. J. Adv. Comput. Sci. Applic., 9: 415-419.
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  6. Khan, K., N. Ahmad, I. Uddin, M.E. Mazhar and R.U. Khan, 2018. FaceParser-a new face segmentation approach and labeled database. Int. J. Eng. Technol., 7: 1-3.
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  7. Albattah, W. and R.U. Khan, 2018. Processing sampled big data. Int. J. Adv. Comput. Sci. Applic., 9: 350-356.
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  8. Ullah, I., Y. Fan, G. Bing, R.U. Khan, F. Ullah and K. Liu, 2017. An efficient static filters for sky detection. Res. J. Applied Sci. Eng. Technol., 14: 276-280.
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  9. Ullah, I., F. Yang, R. Khan, L. Liu, H. Yang, B. Gao and K. Sun, 2017. Predictive maintenance of power substation equipment by infrared thermography using a machine-learning approach. Energies, Vol. 10, No. 12. 10.3390/en10121987.
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  10. Khan, R.U. and W. Albattah, 2017. Security and safety concerns: Username and password paradigm. Int. J. Comput. Sci. Network Secur., 17: 145-152.
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  11. Khan, R., 2017. Learnt horizon filter: A machine learning approach. Sci. Int., 29: 125-130.
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  12. Khan, R., 2016. Apparent resolution enhancement: Structural similarity perspective. Int. J. Comput. Applic., 134: 18-22.
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  13. Alsharekh, M.F., M. Islam, A.H. Ibrahim, R. Khan and S. Habib, 2016. Bit error rate performance of RFID signal in SDR communication. J. Applied Sci., 16: 161-166.
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  14. Ali, K., H.U. Rahman, R. Khan, M.Y. Siddiqui and F. Najeeb et al., 2016. Land usage analysis: A machine learning approach. Int. J. Comput. Applic., 141: 23-28.
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  15. Rahman, H.U., N. Minallah, A. Alkhalifah and R. Khan, 2015. Band analysis for land use in multi spectral images. Int. J. Comput. Applic., 115: 38-41.
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  16. Khan, A.D., M. Amin, M.Y. Iqbal, A. Ali, R. Khan and S.D. Khan, 2015. Twin dipole Fano resonances in symmetric three-layered plasmonic nanocylinder. Plasmonics, 10: 963-970.
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  17. Khan, A.D., M. Amin, A. Ali, S.D. Khan and R. Khan, 2015. Multiple higher-order Fano resonances in plasmonic hollow cylindrical nanodimer. Applied Phys. A, 120: 641-649.
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  18. Nisar, Z., Z. Jan, R. Khan and R.J. Qureshi, 2014. Palmprint recognition: A naïve bayesian approach. World Applied Sci. J., 31: 771-775.
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  19. Khan, R., A. Hanbury, R. Sablatnig, J. Stottinger, F.A. Khan and F.A. Khan, 2014. Systematic skin segmentation: Merging spatial and non-spatial data. Multimedia Tools Applic., 69: 717-741.
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  20. Khan, R., A. Hanbury, J. Stottinger, F.A. Khan, A.U. Khattak and A. Ali, 2014. Multiple color space channel fusion for skin detection. Multimedia Tools Applic., 72: 1709-1730.
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  21. Khan, A.D., S.D. Khan, R. Khan, N. Ahmad, A. Ali, A. Khalil and F.A. Khan, 2014. Generation of multiple fano resonances in plasmonic split nanoring dimer. Plasmonics, 9: 1091-1102.
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  22. Khan, A.D., S.D. Khan, R. Khan and N. Ahmad, 2014. Excitation of multiple fano-like resonances induced by higher order plasmon modes in three-layered bimetallic nanoshell dimer. Plasmonics, 9: 461-475.
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  23. Nazir, A., L. Hassan, A.M. Zai and R. Khan, 2013. Fuzzy based skin detection and segmentation. Int. J. Comput. Sci. Issues, 10: 219-222.
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  24. Khan, R., Y.A. Shah, Z. Khan, K. Ahmed, M.A. Manzoor and A. Ali, 2013. Intelligent car parking management system on FPGA. Int. J. Comput. Sci. Issues, 10: 171-175.
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  25. Irfanullah, A. Ali, A.Q. Khan, R. Khan and A. Khalil, 2013. Wimax based audio/video transmission. Int. J. Comput. Sci. Issues, 10: 529-532.
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  26. Ahmad, K., N. Ahmad, R. Khan, J. Khan, A.U. Rehman and S. Hassnain, 2013. Evaluation of SIFT and SURF using bag of words model on a large dataset. Sindh Univ. Res. J. (Sci. Ser.), 45: 492-495.
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  27. Siddique, M., R. Khan, K. Khan and N. Ahmad, 2012. Performance evaluation of super-resolution reconstruction algorithms based on linear magnifications. Int. J. Comput. Sci. Issues, 9: 207-215.
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  28. Shah, H., R. Khan, L. Hasan, J. Khan, A. Khttak and S. Jan, 2012. On experimental comparison of color and supervised face detection. Sindh Univ. Res. J., (Sci. Ser.), 44: 561-564.
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  29. Rehman, A.U., A.U. Asar, N. Ullah, R. Ullah and M.I. Ahmad, 2012. Comparative study of dye-sensitized solar cell based on carbon black and graphite as cathode materials. Int. J. Eng. Technol., 12: 105-107.
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  30. Maqsood, A. and R.U. Khan, 2012. Vehicular ad-hoc networks. Int. J. Comput. Sci. Issues, 9: 401-408.
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  31. Khan, R.U., A. Maqsood, Z. Khan, M. Ishaq and A. Arif, 2012. Skin-color based video categorization. Int. J. Comput. Sci. Issues, 9: 473-477.
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  32. Khan, R., Z. Khan, M. Aamir and S.Q. Sattar, 2012. Static filtered skin detection. Int. J. Comput. Sci. Issues, 9: 257-261.
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  33. Khan, R., A. Hanbury, J. Stottinger and A. Bais, 2012. Color based skin classification. Pattern Recognit. Lett., 33: 157-163.
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  34. Khan, R., A. Hanbury, A. Khattak, F.A. Khan and I. Maqsood, 2012. Illumination correction for static skin filters. Int. J. Comput. Sci. Issues, 9: 336-340.
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  35. Khan, K., R. Ullah, N.A. Khan and K. Naveed, 2012. Urdu character recognition using principal component analysis. Int. J. Comput. Applic., 60: 1-4.
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  36. Khan, K., M. Siddique, M. Aamir and R. Khan, 2012. An efficient method for urdu language text search in image based urdu text. Int. J. Comput. Sci. Issues, 9: 523-527.
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  37. Ali, J., R. Khan, N. Ahmad and I. Maqsood, 2012. Random forests and decision trees. Int. J. Comput. Sci. Issues, 9: 272-278.
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Member since November, 2019