Abdulwahid Al Abdulwahid | Cyber Security | Best Researcher Award

Published on by Computer Vision Awards

Assoc. Prof. Dr. Abdulwahid Al Abdulwahid | Cyber Security | Best Researcher Award

Associate Professor | Jubail Industrial College | Saudi Arabia

Dr. Abdulwahid Al Abdulwahid is an Associate Professor of Cybersecurity and Program Director at Jubail Industrial College, Royal Commission for Jubail and Yanbu, with extensive expertise in artificial intelligence for cybersecurity, IoT and Industry 4.0 security, cloud computing privacy, biometrics, and the human aspects of cybersecurity. He holds a PhD in Computing (Cyber Security) from the University of Plymouth, UK, an MSc in Management of Information Technology from the University of Nottingham, and a BSc in Computer and Information Systems from King Faisal University, along with a Graduate Teaching Associate certification from Plymouth University. Over two decades of professional academic and administrative experience, he has served in roles such as Deputy Director for Planning and Development, College Deputy for Student Affairs, and Department Chairperson, alongside delivering specialized lectures, workshops, and training programs locally, regionally, and internationally. His research interests focus on advancing secure and usable authentication systems, AI-driven cybersecurity solutions, and quality-driven approaches in computing education. He is highly skilled in academic accreditation, governance, quality management, and strategic leadership, in addition to contributing as a reviewer, auditor, and public speaker. As an active member of professional and community organizations including ACM, the Saudi Scientific Society for Cybersecurity, Hemaya, and the Saudi Society for Quality, he continues to foster collaboration between academia, industry, and society. His research impact is reflected through 118 citations by 113 documents, 14 publications, and an h-index of 6.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Al Abdulwahid, A., Clarke, N., Stengel, I., Furnell, S., & Reich, C. (2016). Continuous and transparent multimodal authentication: Reviewing the state of the art. Cluster Computing, 19(1), 455–474.

  2. Guo, Y., Wang, Y., Khan, F., Al-Atawi, A. A., Abdulwahid, A. A., Lee, Y., & Marapelli, B. (2023). Traffic management in IoT backbone networks using GNN and MAB with SDN orchestration. Sensors, 23(16), 7091.

  3. Al Abdulwahid, A. (2022). Detection of middlebox-based attacks in healthcare Internet of Things using multiple machine learning models. Computational Intelligence and Neuroscience, 2022, 2037954.

  4. Alassafi, M. O., AlGhamdi, R., Alshdadi, A. A., Abdulwahid, A. A., & Bakhsh, S. T. (2019). Determining factors pertaining to cloud security adoption framework in government organisations: An exploratory study. IEEE Access, 7, 136822–136835.

  5. Abdulwahid, A. A. (2023). Classification of ethnicity using efficient CNN models on MORPH and FERET datasets based on face biometrics. Applied Sciences, 13(12), 7288.