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Dean, Faculty of Engineering and Computing

Prof. Raed Abu Zitar, PhD

600 500606
Liwa College, Saeed Bin Ahmed Al Otaiba Street (Al Najda Street previously), Al Danah, Baniyas Tower B, Abu Dhabi, United Arab Emirates.

Professional Summary

Prof. Raed Abu Zitar, PhD

Prof. Raed Abu Zitar is the Dean of the Faculty of Engineering and Computing. He has more than 30 years of experience in academia, specifically in teaching, research, and administration. He worked Senior research scientist at Sorbonne University Center of artificial intelligence, Abu Dhabi, before that he was the director of teaching and learning center at Ajman University. He had many positions as Dean, Chair, and Faculty at several Universities in the USA, Jordan, Bahrain, and UAE.

Short Bio

Prof. Abu Zitar (BS 88, MS 90, and PhD 93), was a senior research scientist in the context of Thales Endowed Chair of Excellence, Sorbonne Center of Artificial Intelligence (SCAI), Sorbonne University- Abu Dhabi (SUAD), UAE. Prof. Abu Zitar has joined SCAI-SUAD in Feb-2021. He was working with researchers from Sorbonne University-Paris, and with a team of PhD students and research associates. Prof. Abu Zitar was directing the research at Thales/SCAI in the fields of Intelligent detection and tracking of drones in cooperation with industrial experts from Thales and Aveillant (France and the UK). Before that date, he was the founding coordinator for the Master of Artificial Intelligence Program (one of the first in UAE), Head of the Center of Artificial Intelligence, and Manager for the Teaching and Learning Center at Ajman University, UAE. He has more than 30 years of experience in teaching, research, and administration in the USA, Jordan, and the UAE. He has published more than 150 Journal and conference papers. Edited books and published several chapters in books. He participated in organizing many international conferences, participated in Ministry of Higher Education accreditation committees and peer reviewed many international journal papers and promotion applications. He is an editorial board member in several international journals. He is also a member of several national and international academic committees in the fields of AI and Higher Education. Recently, he was select among the top 2% most cited scientists in the field of Artificial Intelligence and Image processing according to Stanford University list that is based on Scopus Database for the year 2024.

Core Qualifications

  • Leadership in Education Management
  • Leadership in Applied and Industrial Research
  • Expert in local and International Accreditation
  • Curriculum Design and management
  • Decision Making Skills
  • Regional and International Collaboration Skills
  • People Management
  • Innovation and Entrepreneurship in Research

Education

  • Ph.D. in Computer Engineering (Artificial Intelligence & Neural Networks), Wayne State University, Detroit, Michigan, USA.
  • Master of Science in Computer Engineering, North Carolina A&T State University, Greensboro, North Carolina, USA.
  • Bachelor of Science in Electrical Engineering, University of Jordan, Amman, Jordan.

Publications

  • Laith Abualigah, Ahmad MohdAziz Hussein, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Ahmed Ibrahim Alzahrani, Ayed Alwadain, Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing, Sustainable Computing: Informatics and Systems, 2024, 101012, ISSN 2210-537 https://doi.org/10.1016/j.suscom.2024.101012
  • Abualigah, L., Almomani, M. H., Abu Zitar, R., Daoud, M. S., Migdady, H., & Al-Rahayfeh, A. (2024). Hybrid Classification Approach Utilizing DenseUNet+ for Diabetic Macular Edema Disorder Detection. International Journal of Online and Biomedical Engineering (iJOE), 20(09), pp. 113–129. https://doi.org/10.3991/ijoe.v20i09.49353
  • Abualigah, Laith, Hussein, Ahmad MohdAziz, Almomani, Mohammad H., Zitar, Raed Abu, Daoud, Mohammad Sh., Migdady, Hazem, Alzahrani, Ahmed Ibrahim, Alwadain, Ayed, “GIJA:Enhanced geyser-inspired Jaya algorithm for task scheduling optimization in cloud computing,” Transactions on Emerging Telecommunications Technologies, Trans Emerging Tel Tech, 35, 7, 2161-3915, https://doi.org/10.1002/ett.5019 , https://doi.org/10.1002/ett.5019 , e5019, 2024
  • Erdal Eker, Davut Izci, Serdar Ekinci, Hazem Migdady, Raed Abu Zitar, Laith Abualigah, Efficient Voltage Regulation: An RW-ARO Optimized Cascaded Controller Approach, e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2024, 100687, ISSN 2772-6711,https://doi.org/10.1016/j.prime.2024.100687. https://www.sciencedirect.com/science/article/pii/S2772671124002675
  • Mahmoud Abdel-Salam, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Raed Abu Zitar, Laith Abualigah, An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems, Knowledge-Based Systems, 2024, 112347, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2024.112347. (https://www.sciencedirect.com/science/article/pii/S095070512400981X)
  • Loucif, S., Al-Rajab, M., Abu Zitar, R. et al. Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction. J Big Data 11, 114 (2024). https://doi.org/10.1186/s40537-024-00979-6
  • A'kif Al-Fugara, Mohammad H. Almomani, Raed Abu Zitar, Ahmed Ibrahim Alzahrani, Ayed Alwadain, Laith Abualigah, Enhanced deep learning network for accurate digital elevation model generation from LiDAR data, Automation in Construction, Volume 167, 2024,105708, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2024.105708. (https://www.sciencedirect.com/science/article/pii/S0926580524004448)

Additional Information