Accepting PhD Students

PhD projects

Enhancing Cyber Threat Detection through Machine Learning
Privacy-Preserving Techniques for AI-Driven Cybersecurity Analytics Federated Learning for Secure and Collaborative Cyber Threat Intelligence Sharing Explainable AI Models for Cyber Threat Attribution
Forensics Intelligent Customer Support Chatbot

Calculated based on number of publications stored in Pure and citations from Scopus
20102024

Research activity per year

Personal profile

Research Interests

  • Data Science: Algorithms/Techniques: Hyper-heuristics, Evolutionary Computation, Automatic Design of Optimization Methodology, Machine Learning, Automatic Design of Deep Learning Methods and Meta-learning Approaches.
  • Emerging technologies: (AI).
  • Blockchain, IoT, VR and AR Cyber Security: IoT security, AI for cybersecurity, Malware Analysis and Detection and Cybercrime Investigation and Forensics 

Research Profile

Dr Ammar Alazab is an accomplished senior Cybersecurity Lecturer with extensive academic and industry experience. He is recognised for his 60+ research publications and over 50 talks in academia, industry, and government. His multidisciplinary research focuses on AI-powered cybercrime prevention.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

PhD (Computer Science), Malware detection and prevention system, Deakin University

20102014

Master (Computer Networking), Designing and Implementing a Secure Software-Defined Networking (SDN) Framework, Amman Arab University

20022004

Bachelor (Information Technology), Al-Balqa Applied University

19972001

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