I am a cybersecurity and artificial intelligence expert with over 15 years of academic and industry experience across Australia, Jordan, and Qatar. My research focuses on detecting and preventing cybercrime, spanning AI-driven cybersecurity, digital forensics, malware analysis, federated learning, IoT security, and blockchain.
I have published more than 100 peer-reviewed articles in high-quality international journals and conferences, with over 3,700 citations and an h-index of 28. I have been recognised by Stanford University and Elsevier among the world's top 2% most influential scientists (2023–2025).
Highlights
Certified Cybersecurity Expert Witness, Ministry of Justice, Qatar
Co-developed Jordan's first Bachelor's degree programme in Digital Forensics, Al-Balqa Applied University
Former Associate Dean for Quality Assurance, Faculty of Artificial Intelligence, Al-Balqa Applied University
Former Associate Dean for Student Affairs, Faculty of Artificial Intelligence, Al-Balqa Applied University
Former Head of the Department of Intelligent Systems, Al-Balqa Applied University
External Evaluator for cybersecurity and artificial intelligence degree programmes
Supervisor of Master's and PhD research in cybersecurity and AI
Editorial Roles
Editorial Board, Alexandria Engineering Journal (Elsevier)
Editorial Board, Expert Systems (Wiley)
Editorial Board, Human-centric Computing and Information Sciences (HCIS)
Editorial Board, Discover Internet of Things (Springer Nature)
Editorial Board, Network: Computation in Neural Systems (Taylor & Francis)
Editorial Board, International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
Editorial Board, Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ)
Editorial Board, Journal of Theoretical and Applied Information Technology (JATIT)
Guest Editorships (Special Issues)
AI-Driven Smart Cities and Secure Intelligent Infrastructure, Discover Artificial Intelligence (Springer Nature), Topical Collection
Advances in Cybersecurity and Reliability, Information (MDPI)
Cybersecurity in the Age of AI and IoT: Challenges and Innovations, Journal of Cybersecurity and Privacy (MDPI)
PhD in Information Technology, Deakin University, Australia (2011–2014)
Thesis: Analysis on Smartphone Devices for Detection and Prevention of Malware using Machine Learning Algorithms
BEng in Computer Engineering, Al-Balqa Applied University, Jordan (2005–2009)
Thesis: Designing and Implementing an Intelligent Wireless-Enabled Robot Car
Graduate Certificate in Digital Technologies in Learning and Teaching, Torrens University Australia
Bio: Dr. Moutaz Alazab is an expert in computer security and artificial intelligence, bringing together over 15 years of industry and academic experience. He has supervised Master's and PhD students and contributed to over 100 publications in international journals and conferences, supported by several international research grants in AI and cybersecurity. He earned his PhD in Information Technology from Deakin University, Australia, in 2014. He also holds a Graduate Certificate in Digital Technologies in Learning and Teaching from Torrens University Australia. He received his B.Eng. in Computer Engineering from Al-Balqa Applied University, Jordan, in 2009. Dr. Alazab is recognised among the top 2% of scientists worldwide by Stanford University and Elsevier (2023–2025) and serves as an editor and guest editor for well-known journals. His research interests encompass artificial intelligence, cybersecurity, malware analysis, mobile security, blockchain, data analytics, cloud security, IoT security, and digital forensics, with a primary focus on detecting and preventing cybercrime.