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  • Fadi Sibai, Ph.D.

  • Job Title :


  • College :

    College of Computer Engineering and Science

  • Department :

    Computer Science

    Computer Engineering

    Information Technology

Dr. Fadi Sibai joined PMU in 2019 as Dean of the College of Computer Engineering and Science. He previously taught at KFUPM, UAE University, San Jose State University, the University of California, and the University of Akron, USA. Dr. Sibai directed the Computer Systems Design program and IBM Competence Center at the UAE University. He was the recipient and Principal Investigator of a 2010 nVIDIA equipment award, a 2006 IBM Shared University Research award (IBM’s highest research award), a 2008 Emirates Foundation research grant, a 2007 IBM Faculty award, several awards at Intel Corporation, and a 1991 University of Akron summer fellowship. He also has extensive industrial experience, having worked for Saudi Aramco and Intel Corporation, and consulted for HPE, SABIC, and KEO. He authored or co-authored over 230 publications and technical reports, including 60 journal publications. Dr. Sibai received the Ph.D. and M.S. degrees from Texas A&M University, and the B.S degree from the University of Texas at Austin, and, all in Electrical (Computer) Engineering. He holds PMP, CISSP, CCNA, and CQRM certifications, and is a member of PMI, (ISC)2, and Eta Kappa Nu.

Ph. D. in Electrical Engineering, Texas A&M University, USA, 1989  

M. S.  in Electrical Engineering,  Texas A&M University, USA, 1986

B. S.  in Electrical Engineering, The University of Texas at Austin, USA, 1984


2021-2021 Publications

  1. F. N. Sibai, A. El-Moursy, A. Asaduzzaman, S. Majzoub, "Hardware Acceleration of the STRIKE String Kernel Algorithm for Estimating Protein to Protein Interactions," IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021 (open access).
  2. A. ElMoursy, F. N. Sibai, M. ElMoursy, A. Mohamed, "PMSMC: Priority-based Multi-requestor Scheduler for Embedded System Memory Controller, Journal of Parallel and Distributed Computing, Elsevier, Vol. 139, May 2020, pp. 135-147.
  3. A. ElMoursy, F. N. Sibai, H. Khaled, S. Nassar, M. Taher, "Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool For 3-D Oil Reservoir Grid on OpenStack Cloud Computing," IEEE Access , Vol. 8, 2020, pp. 212280-212297.
  4. F. N. Sibai, A. Potvin, S. Ngo, "Optimizing Particle Systems Through Multithreading," WSEAS Transactions on Systems and Control, vol. 15, pp. 691-698, 2020. 
  5. A. Asaduzzaman, F. N. Sibai, S. Kanaya, M. Altaf-Ul-Amin, K. Chidella, P. Mitra, and K. Saeed, "Image Processing with Machine Learning to Assist Real-Time Breast Cancer Analyses," book chapter in book: Vision, Sensing and Analytics: Integrative Approaches, (M. Ahad, and A. Inoue, Eds), Publisher: Springer Nature Switzerland AG.
  6. G. Latif, J. Alghazo, F. N. Sibai, D. Iskandar, A. Khan, "Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation," Current Medical Imaging, 2021.
  7. M. Bashayreh, F. N. Sibai, A. Tabbara, "AI and Legal Liability: Towards an International Legal Approach Based on Risk-Allocation," Information and Communications Technology Law, Vol. 30(3), 24 pages, December 2020.
  8. F. N. Sibai, "Power, Voltage, and Current Characteristics of Photovoltaic Modules in Saudi Arabian Cities, " Proc. 7th International Conference on Electrical and Electronics Engineering (ICEEE’20), Antalya, Turkey, 2020, pp. 67-71. 
  9. F. N. Sibai," AI Crimes: A Classification," Proc. International IEEE Conference on Cyber Security and Protection of Digital Services (Cyber Security’20), Dublin, Ireland, 2020. 
  10. F.  N. Sibai, N. Mohammad, S. Muhammad, “Probabilistic Modeling and Study of Cybersecurity Attacks in Industrial Control Systems of Plants," Proc.  IEEE Conference on Applications, Information and Network Security (AINS’20), Malaysia, November 2020.
  11. A Asaduzzaman, P. Kamalakannan, FN Sibai, “The Eight Class of Service Model – An Improvement Over the Five Classes of Service,” Proc. 8th IEEE Int. Conference on Electrical and Electronics Engineering (ICEEE’21), Turkey, April 2021.
  12. Abu Asaduzzaman, Alec Trent, Sarah Osborne, Cody Aldershof, Fadi N Sibai, “Impact of CUDA and OpenCL on Parallel and Distributed Computing,” Proc. 8th IEEE Int. Conference on Electrical and Electronics Engineering (ICEEE’21), Turkey, April 2021.
  13. F. N. Sibai, “An Accurate Method for Photovoltaic Array Sizing,”Proc. 8th IEEE Int. Conference on Electrical and Electronics Engineering (ICEEE’21), Turkey, April 2021.
  14. A. Asaduzzaman, A. Telakapalli, F. N. Sibai, “Energy Consumption Analyses for Unmanned Aerial Systems Used in Disaster Management,” Proc. 11th Annual IEEE Computing and Communication Workshop and Conference (CCWC'21), U.S.A., 2021.
  15. A. Asaduzzaman, A. Telakapalli, F. N. Sibai, “Smart Disaster Management using Software-Defined Unmanned Aerial Systems,” Proc. IEEE Consumer Communications & Networking Conference (CCNC'21), U.S.A., 2021.
  16. M. Bashayreh, F. N. Sibai, A. Tabbara, “The need for a legal standard of care in the AI environment,” International PMU Conference on Industrial Revolution 4.0 in Computing, Mobility, and Manufacturing (CMM’20), 2020.



Artificial Intelligence, Computer Architecture, Hardware Acceleration, Security, Networks, Solar Photovoltaic Arrays


Dr Sibai is a member of PMI, (ISC)2, and Eta Kappa Nu.