Dr. Mazen Gazzan

Assistant Professor

Information Systems Department
College of computer science and Information Systems
Najran University

mzgazzan@nu.edu.sa

المؤهلات العلمية

Doctor of Philosophy (PhD) in Cyber Security, University of Idaho, Idaho, College of Engineering, Department of Computer Science, United State-2024.

Master's degree in Software Systems Engineering, University of Regina, Regina, Saskatchewan, Canada-2012.

Bachelor’s degree, Computer Science, University of Tabuk, Tabuk, Saudi Arabia-2006.

الخبرات

ACADEMIC EXPERIENCE

Assistant Professor – Department of Information Systems
Najran University | 2012 – Present
Courses taught:
Information Systems Security Administration
Information Systems Engineering
Information Systems Analysis and Design
Electronic Commerce
Social, Ethical, and Professional Issues in IT
Graduation Projects Supervisio

PROFESSIONAL EXPERIENCE

Software Engineer – Alsalam Aircraft Company, Saudi Arabia | 2012
Maintenance, troubleshooting, and modification of advanced electronic and computing systems.
School Principal – Saudi School, Saudi Cultural Bureau, Regina, Canada | 2010 – 2012
Managed academic operations and curriculum development for multiple educational levels.
Cultural Affairs Representative – Saudi Cultural Bureau, Regina, Canada | 2008 – 2009
Organized cultural programs, academic events, and institutional relations activities.

التخصصات والمهارات

المهام الوظيفية

الدورات التدربية

Gazzan M, Sheldon FT. Opportunities for early detection and prediction of ransomware attacks against industrial control systems. Future Internet. 2023;15(4):144.
Alqahtani A, Gazzan M, Sheldon FT. A proposed crypto-ransomware early detection (CRED) model using an integrated deep learning and vector space model approach. In: Proceedings of the 10th Annual Computing and Communication Workshop and Conference (CCWC). 2020.
Gazzan M, Sheldon FT. An enhanced minimax loss function technique in generative adversarial network for ransomware behavior prediction. Future Internet. 2023;15(10):318.
Gazzan M, Alqahtani A, Sheldon FT. Key factors influencing the rise of current ransomware attacks on industrial control systems. In: 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC). 2021.
Gazzan M, Sheldon FT. An incremental mutual information-selection technique for early ransomware detection. Information. 2024;15(4):194.
Gazzan M, Sheldon FT. Novel ransomware detection exploiting uncertainty and calibration quality measures using deep learning. Information. 2024;15(5):262.
Gazzan M, Alobaywi B, Almutairi M, Sheldon FT. A deep learning framework for enhanced detection of polymorphic ransomware. Future Internet. 2025;17(7):311.
Urooj U, Al-Rimy BAS, Gazzan M, Zainal A, Amer E, Almutairi M, et al. A wide and weighted deep ensemble model for behavioral drifting ransomware attacks. Mathematics. 2025;13(7):1037.
Dabwan BA, Gazzan M, Ismil OA, Farah EA, Almula SM, Ali YA. Hand gesture classification for the deaf and mute using DenseNet169 model. In: Proceedings of the 9th International Conference on Communication and Electronics Systems. 2024.
Gazzan MA. Towards bridging the gap between CMMI and Agile development methodologies. In: Computer Applications in Industry and Engineering (CAINE). 2014.
Alharty ML, Rehman A, Gazzan MA. The impact of professional instant messenger in academia. Journal of Information & Communication Technology. 2014;8(1):11-16.
Gazzan M. A novel multi-staged deep learning method to detect ransomware. University of Idaho; PhD dissertation.

المقررات التدرسية

الوصف

الساعات المكتبية