Dr. Dost Muhammad Khan

Assistant Professor and Head
Islamia University of Bahawalpur, Pakistan


Highest Degree
Ph.D. in Computer Science from University of Technology, Malays

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Area of Interest:

Computer Sciences
Software Engineering
Data Base Management
Data Mining
Mobile Agent

Selected Publications

  1. Qadri, S., D.M. Khan, S.F. Qadri, A. Razzaq and N. Ahmad et al., 2017. Multisource data fusion framework for land use/land cover classification using machine vision. J. Sensors, 2017: 8-8.
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  2. Qadri, S., D.M. Khan, F. Ahmad, S.F. Qadri, M. UL. Rehman, S. Muhammad and M. Mutiullah, 2017. A novel optimized land cover classification framework using data mining techniques. Sindh Univ. Res. J., 49: 433-440.

  3. Mushtaq, M.F., D.M. Khan, U. Akram, S. Ullah and A.Tariq, 2017. A cognitive architecture for self learning in humanoid robots. Int. J. Compu. tSc.i Network Secur., 17: 26-36.

  4. Ullah, S., D.M. Khan, A. ur Rehman, M.A. Siddique and A. Khan, 2016. An effective modeling to minimize the transmission time in vanet by reducing routing overhead. Sci. Int. Lahore, 28: 3041-3047.

  5. Sajjad, S., D.M. Khan, N. Saher and F. Shahzad, 2016. The usability analysis of mobile interfaces. Sci. Int. Lahore, 28: 1097-1103.

  6. Qadri, S., D.M. Khan, F. Ahmad, S.F. Qadri and M.E. Babar et al., 2016. A comparative study of land cover classification by using multispectral and texture data. Bio. Med. Res. Int., 2016: 12-12.
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  7. Karim A., N. Khan, D.M. Khan, N. Saher and F. Shahzad, 2016. The application of the subdivision algorithm for surface modeling. Sci. Int., 28: 1071-1077.

  8. Fayyaz, Y., D.M. Khan, F. Fayyaz, S. Qadri, S. Naweed and M. Fahad, 2016. The evaluation of voice-over internet protocol (voip) by means of trixbox. Int. J. Nat. Eng. Sci., 9: 45-53.
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  9. Yaqoob, I., D.M. Khan, N. Saher, F. Shahzad and S. Qadri, 2015. An innovative theoretical model for humanoid robots. Int. J.Nat. Eng., 9: 28-38.

  10. Saher,N., D.M. Khan and F. Shahzad, 2015. The quality assessment of software testing procedure and its effects. Sci. Int. Lahore, 27: 4865-4874.

  11. Saher, N., D.M. Khan, F. Shahzad and S. Qadri, 2015. The impact of employees’ turnover at the productivity of a software. Int. J. Nat. Eng. Sci., 9: 23-27.

  12. Qadri, S., D.M. Khan, M. ul-Rehman, M. Fahad, M. Shahid, Mutiullah and E.A. Rehmani, 2015. Identification of buildings and roads area in an aerial image by applying morphological filters. Int. J. Nat. Eng. Sci., 9: 34-37.

  13. Maqbool, I., S. Qadri, D.M. Khan and M. Fahad, 2015. Identification of mango leaves by using artificial intelligence. Int. J. Nat. Eng. Sci., 9: 45-53.

  14. Khan, D.M., F. Shahzad, N. Saher and N.Mohamudally, 2015. A relative study of load balancing and management techniques in a distributed system: the iub case study. Sci. Int., 27: 3171-3177.

  15. Khan, D.M. and N. Mohamudally, 2015. Data Mining: A Unified Approach. Scholars Press, USA, ISBN: 978-3639769692.

  16. Saeed, F., D.M. Khan, N. Saher, F. Shahzad and N. Ammer, 2014. A novel framework for interactive mobile applications. Sci. Int., 26: 2089-2095.
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  17. Khan, D.M., F. Shahzad, N. Saher and N. Mohamudally, 2014. Optimization and analysis of clusters. Sci. Int., 26: 1959-1971.

  18. Khan, D.M. and N. Mohamudally, 2014. The relevancy of a unified data mining theory (udmt) for the big data. J. Appl. Environ. Biol. Sci., 4: 160-165.

  19. Khan, D.M., N. Mohamudally and D.K.R. Babajee, 2013. A unified theoretical framework for data mining. Procedia Comput. Sci., 17: 104-113.
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  20. Saher, N., D. M. Khan, F. Shahzad and N. Mohamudally, 2012. The prospects of erp systems on quality of education andresearch in higher education and research institutions of Pakistan. J. Comput., 4: 115-119.
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  21. Khan, D.M., N. Saher and F. Shahzad and N. Mohamudally, 2012. The human resource development (hrd) at the highereducation and research institutions of pakistan: The iubcase study. J. Comput., 4: 120-124.
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  22. Khan, D.M., N. Mohamudally and D.KR. Babajee, 2012. The formulation of a data mining theory for the knowledge extraction by means of a multiagent system. J. Comput., 4: 29-38.

  23. Khan, D.M., N. Mohamudally and D.K.R. Babajee, 2012. Towards the Formulation of a Unified Data Mining Theory, Implemented by means of Multiagent Systems (MASs). In: Advances in Data Mining Knowledge Discovery and Applications, Karahoca, A. (Ed.)., Under CC BY 3.0 license, USA, ISBN: 978535107484 Pages: 3-42.

  24. Khan, D.M., N. Mohamudally and D.K.R. Babajee, 2012. Investigating the statistical linear relation between the model selection criterion and the complexities of data mining algorithms. J. Comput., 4: 14-28.

  25. Khan, D.M., N. Saher, F. Shahzad and N. Mohamudally, 2012. The integration of networking and computerization towards e-education and e-learning at the higher education and research institutions of Pakistan. Int. J. Comput. Sci., 9: 546-551.
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  26. Khan, D.M. and N. Mohamudally, 2012. The adaptability of conventional data mining algorithms through intelligent mobile agents in modern distributed systems. Int. J. Comput. Sci. Issues, 9: 38-46.
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  27. Khan, D.M. and N. Mohamudally, 2012. Model selection criterions as data mining algorithms’ selector the selection of data mining algorithms through model selection criterions. J. Comput., 4: 102-114.

  28. Khan, D.M. and N. Mohamudally, 2012. Intelligent versus malicious agent: A comparative study. Int. J. Comput. Sci., 9: 605-611.
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  29. Khan, D.M. and N. Mohamudally, 2012. A comparative study of single-step and multi-step data mining tools. J. Comput., 4: 26-41.

  30. Khalid, A., Y. Fayyaz and D.M. Khan, 2012. Cloud computing: Deployment issues for the enterprise systems. J. Comput., 4: 61-65.

  31. Khan, D.M. and N. Mohamudally, 2011. From mainframe to cloud computing: A study of programming paradigms with the evolution of clientserver architecture. J. Comput., 4: 21-27.

  32. Khan, D.M. and N. Mohamudally, 2011. An integration of k-means and decision tree (id3) towards a more efficient data mining algorithm. J. Comput., 3: 76-82.