Mamoun Alazab is an Associate Professor at the Faculty of Science and Technologyat Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience.
Associate Prof Alazab’s research is multidisciplinary that focuses on cyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber-physical systems and internet of things, with a focus on cybercrime detection and prevention.
Alazab's look into the intersection use of Artificial Intelligence and Machine Learning as essential tools for cybersecurity, for example, authorship attribution, detecting attacks, analyzing malicious code or uncovering vulnerabilities in software and hardware. He has more than 300 research papers (>90% in Q1 and in the top 10% Journal articles, and more than 100 in IEEE/ACM Transactions) and 9 authored/edited books. He is a Senior Member of the IEEE, and the founding chair of the IEEE Northern Territory (NT) Subsection.
He received several awards including: the NT Young Tall Poppy (2021) from the Australian Institute of Policy and Science (AIPS), IEEE Outstanding Leadership Award (2020), the CDU CFaculty of Science and Technology Exceptional Researcher Award in (2020) and (2021), and 4 Best Research Paper Awards. He is ranked in top 2% of world’s scientists in the subfield discipline of Artificial Intelligence (AI) and Networking & Telecommunications, in the study published in PLOS Biology. He was ranked in the top 10% of 30k cyber security authors.
He delivered more than 120 keynote speeches, chaired 56 national events and more than 90 international events; on program committees for 200 conferences. He is an Editor of 10 academic journals [in Q1 and top 10% Journal]. He serves as the Associate Editor of IEEE Transactions on Computational Social Systems, IEEE Transactions on Network and Service Management (TNSM), IEEE Internet of Things Journal, ACM Digital Threats: Research and Practice, Complex & Intelligent Systems.
- Malware Authorship Attribution
- Explaining AI for Malware Detection
- Generating Adversarial Malware
- Access Control and their applications in CPS, ITS, IoT, cloud computing, and Big Data
- Cyber Physical Systems and IoT
- Machine and Deep Learning applications for cyber security.
- Digital Forensics
- Organisational Security and cyber risk management
Prospective students with interests in those topics above are encouraged to contact Associate Prof Mamoun Alazab for further information.