Home \ Faculty Details \ Majid Ali Khan, Ph.D.
Faculty Img

  • Phone:

    +966-13-849-8503

  • Email:

    makhan@pmu.edu.sa

  • Office No:

    F-020

  • Majid Ali Khan, Ph.D.

  • Job Title :

    Chair

    Assistant Professor

  • College :

    College of Computer Engineering and Science


  • Department :

    Computer Science


    Computer Engineering


Majid A. Khan received his PhD degree from University of Central Florida (UCF), Orlando, USA in 2007. He received his B.S. degree in Computer System Engineering from Ghulam Ishaq Khan Institute (GIKI), Pakistan in 1997. He has extensive software development experience at various multinational companies including NetSol Technologies Inc. in Lahore, Pakistan, and at Hewlett-Packard (HP Software) in Roseville, CA. He has also worked as the main contributor at several start-up companies.

Majid Ali Khan is currently working as Assistant Professor in the College of Computer Engineering and Science at Prince Mohammad Bin Fahd University (PMU). He has research interests in machine learning and distributed/parallel computing with applications in several domains including software engineering, algebraic structures and modeling of large scale systems.

 

PhD, University of Central Florida, USA

BS in Computer System Engineering, GIK Institute, Topi, Pakistan

Journal articles:

  1. M. A. Khan, "Efficient Enumeration of Higher Order Algebraic Structures," in IEEE Access, vol. 8, pp. 41309-41324, 2020
  2. G. Latif, N. Mohammad, R. AlKhalaf, R. AlKhalaf, J. Alghazo, M.A. Khan, An Automatic Arabic Sign Language Recognition System based on Deep CNN: An Assistive System for the Deaf and Hard of Hearing, International Journal of Computing and Digital Systems, 9(4), pp. 715-724, 2020 
  3. N. Mohammad, S. Muhammad, A. Bashar and M. A. Khan, "Formal Analysis of Human-Assisted Smart City Emergency Services," in IEEE Access, vol. 7, pp. 60376-60388, 2019
  4. S. Muhammad, N. Mohammad, A. Bashar, M.A. Khan, Designing Human Assisted Wireless Sensor and Robot Networks Using Probabilistic Model Checking, Journal of Intelligent & Robotic Systems, 94(3), 687-709, 2019
  5. M. Tufail, Z. Halim, M.A. Khan, “Visualizing trace of Java collection APIs by dynamic bytecode instrumentation”, Journal of Visual Languages and Computing, 43, 14-29, 2017
  6. M. A. Khan, S. Muhammad, N. Mohammad, A. Ali, “Enumeration of exponent three inverse property loops”, Quasigroups and Related Systems, 25, 73-86, 2017
  7. M. A. Khan, N. Mohammad, S. Muhammad, A. Ali, A Mining Based Approach for Efficient Enumeration of Algebraic Structures, in Springer International Journal of Data Science and Analytics, 1-10, April 2016 (http://link.springer.com/article/10.1007/s41060-016-0007-0)
  8. M. A. Khan, D. Turgut, and L. Bölöni. Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects. Journal of Autonomous Agents and Multi-Agent Systems, 22(3):415–438, 2011
  9. L. Bölöni, M.A. Khan, and D. Turgut. Agent-based coalition formation in disaster response applications. International Journal of Intelligent Control and Systems, 2006.
  10. L. Bölöni, L. J. Luotsinen, J. N. Ekblad, T. R. Fitz-Gibbon, C. Houchin, J. Key, M A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, and V. Trinh. A comparison study of twelve paradigms for developing embodied agents. Software: Practice and Experience, 38(3):259–305, 2008.
  11. Majid Ali Khan, S.K. Vaithianathan, K. Sivoncik, and L. Bölöni. Towards an agent framework for grid computing. International Scientific Journal of Computing, 2(3), 2003

Conference articles:

 

  1. A. Bashar, S. Muhammad, N. Mohammad and M. Khan, "Modeling and Analysis of MDP-based Security Risk Assessment System for Smart Grids," 2020 Fourth International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2020
  2. M.A. Khan, N. Mohammad, A. Bashar and S. Muhammad “Efficient Enumeration of Algebraic Structures using Multicore Systems”, 11th Malaysian Software Engineering Conference (MySEC), 2018
  3. R AlKhalaf, R AlKhalaf, G Latif, N Mohammad, J Alghazo, M.A. Khan, Arabic Sign Language (ArSL) Recognition System using Convolutional Neural Network (CNN), 11th Malaysian Software Engineering Conference (MySEC), 2018
  4. N. Mohammad, S. Muhammad, A. Bashar and M. A. Khan “Design and modeling of energy efficient WSN architecture for tactical applications”, Military Communications and Information Systems Conference (MilCIS), 2017
  5. M Al-Mouhamed, N Mohammad and M.A. Khan, Enhancing the Performance of Parallel N-Body Simulation, 7th IEEE International Advance Computing Conference (IACC-2017)
  6. M. A. Khan, N. Mohammad, S. Muhammad, Asif Ali, A mining based approach for efficient enumeration of algebraic structures, In Proceedings of 2nd IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA’2015), Paris, Oct 2015
  7. M.A. Khan, S. Muhammad, T. Muhammad. Identifying Performance Issues Based on Method Invocation Patterns of an API. In Proceedings of 18th International Conference on Evaluation and Assessment in Software Engineering (EASE 2014), May 2014
  8. M. A. Khan, S. Muhammad, T. Muhammad. Runtime invocation analysis of API objects in large code base. In Proceedings of IEEE International Conference on Computer Sciences and Applications (CSA 2013), pp. 463–468, Wuhan, China, Dec 2013.
  9. T. Muhammad, Z. Halim, M. A. Khan. ClassSpy: Java Object Pattern Visualization Tool. In Proceedings of International Conference on Modeling & Simulation (ICOMS 2013), pp. 382–387, Nov 2013.
  10. M.A. Khan, D. Turgut, and L. Bölöni. Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects. In Proceedings of International Workshop on Optimisation in Multi-Agent Systems (OptMas08), in conjunction with the Seventh Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2008), pp. 69–76, May 2008.
  11. M.A. Khan, D. Turgut, and L. Bölöni. A study of collaborative influence mechanisms for highway convoy driving. In Proceedings of International Workshop on Agents in Traffic and Transportation (ATT08), in conjunction with the Seventh Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2008), pp. 46–53, May 2008.
  12. M. A. Khan and L. Bölöni. Negotiation-based coalitions in the physical world. In Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2006), pp. 411–413, May 2006.
  13. L. Bölöni, M.A. Khan, and D. Turgut. Agent-based coalition formation in disaster response applications. In Proceedings of the IEEE Workshop on Distributed Intelligent Systems, pp. 259–264, June 2006.
  14. L.J. Luotsinen, J.N. Ekblad, T.R. Fitz-Gibbon, C. Houchin, J. Key, M.A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, V. Trinh, and L. Bölöni. Comparing apples with oranges: evaluating twelve paradigms of agency. In Fourth International Workshop on Programming Multi-Agent Systems (PROMAS-2006), pp. 51–65, May 2006.
  15. Majid Ali Khan and Ladislau Bölöni, Convoy driving through ad-hoc coalition formation, In Proceedings of IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), San Francisco, California, pages 98–105, Los Alamitos, CA 90720-1314, 2005. IEEE Computer Society Technical Committee on Real-Time Systems, IEEE Computer Society Press.
  16. Majid Ali Khan, Damla Turgut and Ladislau Bölöni, Computer Persona: a user interaction architecture for mobile environments, In Proceedings of IEEE Vehicular Technology Conference, VTC Spring 2004, Milan, Italy.
  17. Ladislau Bölöni, Majid Ali Khan, Shankar K. Vaithianathan and Kresimir Sivoncik, Towards an agent framework for grid computing,  In Proceedings of CIPC-03 Second International Advanced Research workshop on Concurrent Information Processing and Computing, 2003.
  18. Ladislau Bölöni, Majid Ali Khan, Xin Bai, Guoqiang Wang, Yongchang Ji and Dan C. Marinescu, Software engineering challenges for mutable agent systems, In International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS 2003), In Lecture Notes in Computer Science Vol 2940, pp. 149–167, Springer, 2004

 

Google Scholar: https://scholar.google.com/citations?hl=en&user=Ahx-oosAAAAJ

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57195314524

Research Gate: https://www.researchgate.net/profile/Majid_Khan9

DBLP: https://dblp.org/pid/61/1306.html

 

Machine Learning COSC4393

Operating Systems COSC4361

Computer Organization GEIT3331

Embedded Systems COEN4413

Introduction to Project Management ITAP4316

Software Engineering-II GEIT4351

Business Intelligence ITAP3382

 

Machine Learning, Multi-agent Systems, Data Mining, Software Engineering

IEEE