Dr. Anmar Fakhri Moh`d Abuhamdah

Assistant Professor
Taibah University, Saudi Arabia


Highest Degree
Ph.D. in Algorithms and Optimization from Taibah University, Saudi Arab

Share this Profile

Biography

Dr. Anmar Fakhri Mohd Abuhamdah is currently working as Assistant Professor at Department of Computer Science, College of Computer Science and Engineering, Taibah University, Madinah Munawarrah, Kingdom of Saudi Arabia. His main area of interest focuses on Algorithms and Optimization. His area of expertise includes Optimization, Benchmarking, Algorithms, Scheduling, Heuristic, Clustering, and Search Techniques. He has completed his Ph.D. in Algorithms and Optimization from Taibah University, Al-Madinah Al-Munawarah, KSA, Saudi Arabia. He has 13 publications in journals as author/co-author.

Area of Interest:

Computer Sciences
Optimization
Algorithms
Artificial Intelligence
Computation Theory

Selected Publications

  1. Abuhamdah, A., M. Ayob, G. Kendall and N.R. Sabar, 2013. Population based local search for university course timetabling problems. Applied Intell., 10.1007/s10489-013-0444-6.
    CrossRef  |  Direct Link  |  

  2. Kittaneh, R., S. Abdullah and A. Abuhamdah, 2012. Iterative simulated annealing for medical clustering problems. Trends Applied Sci. Res., 7: 103-117.
    CrossRef  |  Direct Link  |  

  3. Abuhamdah, A., B.M. El-Zaghmouri, A. Quteishat and R. Kittaneh, 2012. Hybridization between iterative simulated annealing and modified great deluge for medical clustering problems. World Comput. Sci. Inform. Technol. J., 2: 131-136.
    Direct Link  |  

  4. Abuhamdah, A., 2012. Modified great deluge for medical clustering problems. Int. J. Emerg. Sci., 2: 345-360.

  5. Abuhamdah, A. and M. Ayob, 2011. MPCA-ARDA for solving course timetabling problems. Proceedings of the 3rd Conference on Data Mining and Optimization, June 28-29, 2011, Putrajaya, Kuala Lumpur, Malaysia, pp: 171-177.
    CrossRef  |  Direct Link  |  

  6. Abuhamdah, A., 2010. Experimental result of late acceptance randomized descent algorithm for solving course timetabling problems. Int. J. Comput. Sci. Network Secur., 10: 192-200.
    Direct Link  |  

  7. Abuhamdah, A. and M. Ayob, 2010. Extended abstract of average late acceptance randomized descent algorithm for solving course timetabling problems. Proceedings of the 1st National Doctoral Seminar on Artificial Intelligence Technology, September 27-28, 2010, Selangor, Malaysia, pp: 222-228.

  8. Abuhamdah, A. and M. Ayob, 2010. Average late acceptance randomized descent algorithm for solving course timetabling problems. Proceedings of the 4th International Symposium on Information Technology, June 15-17, 2010, Kuala Lumpur, Malaysia, pp: 748-753.
    CrossRef  |  Direct Link  |  

  9. Abuhamdah, A. and M. Ayob, 2010. Adaptive randomized descent algorithm using round robin for solving course timetabling problems. Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, November 29-December 1, 2010, Cairo, Egypt, pp: 1201-1206.
    CrossRef  |  Direct Link  |  

  10. Abuhamdah, A. and M. Ayob, 2010. Adaptive randomized descent algorithm for solving course timetabling problems. Int. J. Phys. Sci., 5: 2516-2522.
    Direct Link  |  

  11. Abuhamdah, A. and M. Ayob, 2009. Multi-neighbourhood particle collision algorithm for solving course timetabling problems. Proceedings of the 2nd Conference on Data Mining and Optimization, October 27-28, 2009, Kajand, Europe, pp: 21-27.
    CrossRef  |  Direct Link  |  

  12. Abuhamdah, A. and M. Ayob, 2009. Hybridization multi-neighbourhood particle collision algorithm and great deluge for solving course timetabling problems. Proceedings of the 2nd Conference on Data Mining and Optimization, October 27-28, 2009, Kajand, Europe, pp: 108-114.
    CrossRef  |  Direct Link  |  

  13. Abuhamdah, A. and M. Ayob, 2009. Experimental result of particle collision algorithm for solving course timetabling problems. Int. J. Comput. Sci. Network Secur., 9: 134-142.
    Direct Link  |