- Board of Trustees
- Academics
- Academic Support Services
- Administration Department
- Center for Continuing Learning
- Computing Department
- Corporate Affairs Office
- Engagement & Impact Department
- Finance Department
- Future Digital Centre
- IRQA Department
- Library Department
- Marketing, Public Relations and Admissions Department
- Media and Communications Department
- Office of the President
- Office of Vice President - Academic Operations
- Office of Vice President - IRQA
- Office of the Dean (School of Business)
- Office of the Dean (School of Computing)
- Office of the Head - General Education
- Research Department
- Sports, Health & Safety
- Student Services Department
- Talent Empowerment Department
- Maintenance Department
- External Security
Dr. Zenab Elgamal
- Ph.D. (Computer Science) University of Malaya, KL, Malaysia 2022
- Master (Computer Science), Arab Academy for Science & Technology, Egypt, 2011
- Bachelor (Information System), Arab Academy for Science & Technology, Egypt, 2008
- Lecturer, Horizon University, UAE., 2023
- Lecturer, Taibah University, K.S.A, 2013 to 2019
- Assistant Lecturer, Arab Academy for Science & Technology, Egypt, 2008 to 2013
- Elgamal, Z. M., Yasin, N. B. M., Tubishat, M., Alswaitti, M., & Mirjalili, S. (2020). An Improved Harris Hawks Optimization Algorithm with Simulated Annealing for Feature Selection in The Medical Field. IEEE Access, 8, 186638-186652.
- Elgamal, Z. M., Yasin, N. M., Sabri, A. Q. M., Sihwail, R., Tubishat, M., & Jarrah, H. (2021). Improved Equilibrium Optimization Algorithm Using Elite Opposition-Based Learning and New Local Search Strategy for Feature Selection in Medical Datasets. Computation, 9(6), 68.
- Elgamal, Z., Sabri, A. Q. M., Tubishat, M., Tbaishat, D., Makhadmeh, S. N., & Alomari, O. A. (2022). Improved Reptile Search Optimization Algorithm using Chaotic map and Simulated Annealing for Feature Selection in Medical Filed. IEEE Access.
- Tubishat, M., Rawshdeh, Z., Jarrah, H., Elgamal, Z. M., Elnagar, A., & Alrashdan, M. T. (2022). Dynamic generalized normal distribution optimization for feature selection. Neural Computing and Applications, 1-16.
- Bary, M. N. A., Elgamal, Z. M., (2016). Artificial Neural Networks And Logistic Regression With An Ordered Categorical Response: Study Chronic Kidney Disease. Journal Of Statistics: Advances In Theory And Applications, 16(1), 67-91.