Fadi Sibai

Fadi Sibai

Associate Professor
Computer Engineering Department

Awards & Grants


Journal Articles


Conference Papers




About the Faculty Member

Dr. Fadi Sibai joined GUST as Associate Dean, College of Engineering and Architecture, in 2022. Prior to that, he served as acting Dean of the School of Engineering, American International University, Kuwait, as Dean of the College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Saudi Arabia, and as Program Director in the College of Information Technology at the UAE University, UAE. He also taught Engineering at King Fahad University of Petroleum & Minerals, San Jose State University, the University of California, and the University of Akron, USA. At the UAE University, Dr. Sibai also established and directed an IBM-funded R&D Center where he oversaw the development of high-performance computing applications. He received IBM and nVIDIA equipment grants, an IBM Faculty award, and research grants from the Emirates Foundation and the University of Akron. 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 240 publications and technical reports, including more than 70 journal publications. He also served in various capacities on program and organizing committees of over 20 international conferences. Dr. Sibai received the PhD and MS degrees from Texas A&M University, and the BS degree from the University of Texas at Austin, all in Electrical (Computer) Engineering. He holds PMP (Project Management Professional), CISSP (Certified Information System Security Professional), CCNA, and CQRM (Certified Quantitative Risk Manager) certifications, and is a member of PMI, (ISC)2, and Eta Kappa Nu.

Teaching Interest(s)

Computer Engineering, Electrical Engineering, Computer Science, Management Information Systems

Expertise Area(s)

Artificial Intelligence (Machine Learning, Robotics), System Architecture, Embedded Systems, Networks, Hardware Acceleration, Modeling and Simulation, Renewable Energy