Dr. Mazen Gazzan

Assistant Professor

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

mzgazzan@nu.edu.sa

Qualifications

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.

Experiences

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.

Specialties and Skills

المهام الوظيفية

Training Courses

الدورات التدربية

الأبحاث العلمية

M. Gazzan, A. Alqahtani and F. T. Sheldon, “Key Factors Influencing the Rise of Current Ransomware Attacks on Industrial Control Systems”, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2021, pp. 1417-1422, doi:10.1109/CCWC51732.2021.9376179

Gazzan, M.; Sheldon, F.T. “Opportunities for Early Detection and Prediction of Ransomware Attacks against Industrial Control Systems”. Future Internet 2023, 15, 144. https://doi.org/10.3390/fi15040144

Gazzan, M.; Sheldon, F.T. “An Enhanced Minimax Loss Function Technique in Generative Adversarial Network for Ransomware Behavior Prediction”. Future Internet 2023, 15, 318. https://doi.org/10.3390/fi15100318

Gazzan, M.; Sheldon, F.T. “Novel Ransomware Detection Exploiting Uncertainty and Calibration Quality Measures Using Deep Learning.” Information 2024, 15, 262. https://doi.org/10.3390/info15050262

Gazzan, M.; Sheldon, F.T. “An Incremental Mutual Information-Selection Technique for Early Ransomware Detection.” Information 2024, 15, 194. https://doi.org/10.3390/info15040194

Alqahtani, M. Gazzan and F. T. Sheldon, "A proposed Crypto-Ransomware Early Detection (CRED) Model using an Integrated Deep Learning and Vector Space Model Approach," 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2020, pp. 0275-0279, doi: 10.1109/CCWC47524.2020.9031182

Mazen Ali Gazzan and Asadullah Shaikh, “Towards Bridging the Gap between CMMI and Agile Development Methodologies” 27th International Conference on Computer Applications in Industry and Engineering USA, 978-1-880843-97-0, 2014

ML Alharty, A Rehman, MA Gazzan, “The Impact of Professional Instant Messenger in Academia” Journal of Information and Communication Technology (JICT), 2014, V 8 (1), pp. 11-16

المقررات التدرسية

الوصف

الساعات المكتبية