Dr Ahmad leads interdisciplinary research at the intersection of Cyber Security, Generative AI, Agentic AI, Data Science, and Software Engineering, with a strong focus on industry-driven innovation and real-world applications. He has published extensively in top-tier international conferences and journals, including CORE A* and A-ranked venues. He actively contributes to the global research community as a reviewer, program committee member, and editorial board member for leading journals and conferences. Dr Ahmad has secured multiple competitive research grants, driving breakthrough innovations that bridge academic excellence with real-world applications in critical infrastructure protection, AI-enabled systems, and software resilience. A full list of research publications is available on his Google Scholar profile.

Industry Collaborations. Dr Ahmad has led and contributed to multiple R&D initiatives in collaboration with government agencies, defence organisations, and high-growth startups, including the Department of State Development (South Australia), Defence Science and Technology Group (Australia), Defence Trailblazer, the Cyber Security Cooperative Research Centre, CSIRO’s Data61, Cisco, the South Australian Health and Medical Research Institute (SAHMRI), Surf Life Saving South Australia, DEWC Services, Honeywell (UK), SLB (Schlumberger, USA), and several emerging startups based at the Stone & Chalk Adelaide Startup Hub.

Academic Collaborations. He also collaborated with renowned academic institutions, including Imperial College London, the University of Melbourne, Monash University, Singapore Management University, Zayed University (UAE), National Institute of Technology (India), and State University of New York Polytechnic Institute (USA).

PhD Research. Dr Ahmad completed his PhD at the University of Adelaide, Australia, where he conducted advanced interdisciplinary research at the convergence of Cyber Security, Artificial Intelligence, and Software Engineering, resulting in 12 research publications. His doctoral thesis was accepted without corrections following rigorous examination by international experts, reflecting the quality, originality, and impact of his research contributions.

Dr Ahmad’s PhD research focused on enhancing the security of command-and-control (C2) systems critical to civil and defence domains. He developed simulation-based methods for C2 network security analysis, performed static and dynamic risk assessments, and designed an integrated risk management framework. Dr Ahmad also developed advanced techniques for software vulnerability detection, assessment, prioritisation, and management, leveraging machine learning, deep learning, and Generative AI models. In addition, he explored the use of immersive technologies, including augmented reality, virtual reality, and mixed reality, to improve cyber situational awareness and decision-making. Beyond cyber security, Dr Ahmad made significant contributions to advancing the scalability, resilience, and efficiency of cloud-native microservice architectures. He focused on optimising containerized software systems to support AI-driven, adaptive DevOps practices in modern distributed cloud environments. Leveraging AWS cloud services, Kubernetes orchestration, and dynamic resource management, he designed, developed, and evaluated a suite of self-adaptive auto-scaling frameworks, Smart HPA, ProSmart HPA, and SecureSmart HPA, that enable resource-aware, proactive, and resilient auto-scaling for high-throughput, latency-sensitive workloads.