Faculty Img
  • Phone:

    +966-13-849-9754

  • Email:

    kfawagreh@pmu.edu.sa

  • Office No:

    S-009

  • Khaled Fawagreh, Ph.D.

  • Job Title :

    Lecturer

  • College :

    College of Computer Engineering and Science


  • Department :

    Information Technology


Dr. Khaled Fawagreh is a Lecturer in the department of Information Technology at Prince Mohammad Bin Fahd University. Prior joining PMU, Dr. Fawagreh was a Lecturer in the department of Computer Science & Software Engineering at the University of Hail, Saudi Arabia. Dr. Fawagreh also has over six years of industry experience in the areas of document engineering and network management.

Dr. Fawagreh holds a Ph.D. from the school of Computing Science & Digital Media at Robert Gordon University in the UK, an MSc in Computer Science from Dalhousie University in Canada, and a BSc. in Computer Science from York University in Canada. His main research areas are data mining and machine learning.

Publications

  1. Fawagreh, Khaled, and Mohamed Medhat Gaber. "eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning." Big Data and Cognitive Computing 4.4 (2020): 37.
  2. Fawagreh, Khaled, and Mohamed Medhat Gaber. "Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach." Computing (2020): 1-12.
  3. Fawagreh, K., Gaber, M. M., & Elyan, E. (2016, September). An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. In International Conference on Engineering Applications of Neural Networks (pp. 267-282). Springer, Cham.
  4. Fawagreh, Khaled, Mohamed Medhat Gaber, and Eyad Elyan. "A replicator dynamics approach to collective feature engineering in random forests." In International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 25-41. Springer, Cham, 2015.
  5. Fawagreh, Khaled, Mohamed Medhat Gaber, and Eyad Elyan. "CLUB-DRF: A clustering approach to extreme pruning of random forests." In International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 59-73. Springer, Cham, 2015.
  6. Fawagreh, Khaled, Mohamed Medhat Gaber, and Eyad Elyan. "Diversified random forests using random subspaces." In International Conference on Intelligent Data Engineering and Automated Learning, pp. 85-92. Springer, Cham, 2014.
  7. Fawagreh, Khaled, Mohamed Medhat Gaber, and Eyad Elyan. "Random forests: from early developments to recent advancements." Systems Science & Control Engineering: An Open Access Journal 2, no. 1 (2014): 602-609.