Mr Hussain Ahmad
Higher Degree by Research Candidate
PhD Scholar
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Mr. Hussain Ahmad is pursuing a Doctorate of Philosophy (PhD) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on the intersection of Cyber Security and Software Engineering, applying Machine Learning to design, implement, and evaluate models and frameworks that enhance the security and scalability of software architectures.
During his PhD journey, Hussain has engaged in numerous projects with prestigious industry partners, including the Department of State Development South Australia, Defence Science and Technology Group Australia, Cyber Security Cooperative Research Centre, CSIRO's Data61, Cisco, Surf Life Saving South Australia, Stone & Chalk, Honeywell UK, and SLB - Schlumberger USA. Additionally, he has collaborated with several renowned academic institutions, including Imperial College London, the University of Melbourne, Monash University, and Singapore Management University.
Beyond his research, Hussain is designated to supervise master's students in cybersecurity and software engineering, providing technical and inclusive feedback, guiding their research efforts, and evaluating their projects. Moreover, he serves as the Representative of Postgraduate Researchers, advocating for their interests and organizing meetups to foster a positive, supportive, and constructive research environment.
Hussain also holds the position of Gender, Equity, Diversity, and Inclusion (GEDI) Representative for Higher Degree Researchers, where he is dedicated to promoting a diverse, equitable, and inclusive research environment. In addition, he mentors new PhD students at the University of Adelaide, helping them navigate their academic and professional journeys.
Hussain earned his Bachelor's degree in Electrical and Electronics Engineering with high distinction from the GIK Institute of Engineering Sciences and Technology, Pakistan. He is an Accredited Professional Engineer in Electronics by Engineers Australia.
His research interests include Software Engineering, Cyber Security, Machine Learning, Robotics, and Self-Adaptive Systems.
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Appointments
Date Position Institution name 2020 - 2021 Research Engineer University of Adelaide -
Language Competencies
Language Competency English Can read, write, speak, understand spoken and peer review Urdu Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2013 - 2017 Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Pakistan Bachelor of Electrical and Electronics Engineering -
Research Interests
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Journals
Year Citation 2024 Jayalath, R. K., Ahmad, H., Goel, D., Syed, M. S., & Ullah, F. (2024). Microservice Vulnerability Analysis: A Literature Review with Empirical Insights. IEEE Access, 1.
2023 Ahmad, H., Dharmadasa, I., Ullah, F., & Babar, M. A. (2023). A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures. ACM Computing Surveys, 55(9), 192-1-192-38.
Scopus7 WoS1 -
Conference Papers
Year Citation 2024 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2024). Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice Architectures. In Proceedings - IEEE 21st International Conference on Software Architecture, ICSA 2024 (pp. 46-57). Online: IEEE.
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Preprint
Year Citation 2024 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2024). Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for
Microservice Architectures.2024 Abdulsatar, M., Ahmad, H., Goel, D., & Ullah, F. (2024). Towards Deep Learning Enabled Cybersecurity Risk Assessment for
Microservice Architectures.2024 Jayalath, R. K., Ahmad, H., Goel, D., Syed, M. S., & Ullah, F. (2024). Microservice Vulnerability Analysis: A Literature Review with Empirical
Insights.2024 Ahmad, H., Ullah, F., & Jafri, R. (2024). A Survey on Immersive Cyber Situational Awareness Systems. 2024 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2024). Towards Resource-Efficient Reactive and Proactive Auto-Scaling for Microservice Architectures.
DOI2024 Abbas, F., & Ahmad, H. (2024). Robust Partial Least Squares Using Low Rank and Sparse Decomposition.
DOI2022 Ahmad, H. (2022). "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data.
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