Research Focus
- IoT security and lightweight authentication
- Network intrusion detection and KDD CUP 99 preprocessing
- Healthcare IoT, real-time monitoring, and predictive systems
- Privacy-preserving and federated machine learning
Portfolio
About
Mustafa Azzawi is a computer science researcher and technology professional with academic and professional experience in machine learning, Internet of Things, healthcare technology, network communication, and AI-driven systems.
His academic background includes Computer Science and Mathematics, followed by a Master of Science in Computer Science and Technology with a specialization in Network Technology from the National University of Malaysia.
Mustafa's research interests focus on applying artificial intelligence, machine learning, IoT, and network technologies to real-world problems, especially secure healthcare systems, smart infrastructure, and real-time predictive applications.
Open to collaboration, co-authorship, and academic sponsorship discussions while preparing for a PhD application.
Professional Background
Experience with Google Trust and Safety operations through Accenture Technology Solutions, including quality assurance, policy compliance, testing workflows, KPI dashboards, training, and AI-supported content classification.
Education
Master of Science, Computer Science & Technology
National University of Malaysia (UKM), specialization in Network Technology.
Bachelor of Science, Computer Science & Mathematics
University of Tikrit, with focus areas in computer communications and algorithms.