Mr. Hussain Ahmad | Software Engineering | Best Researcher Award
PhD Student at The University of Adelaide, Australia
🛡️ Hussain Ahmad is a cybersecurity and software engineering expert with a strong background in cloud computing, machine learning, robotics, and autonomous systems. Currently pursuing a PhD at the University of Adelaide (2021-2025), his research focuses on self-adaptive cybersecurity and software scalability. He has led 15+ R&DI projects, published 10 high-impact papers with 500+ citations, and secured AUD 200k+ in funding from Google, Amazon, and Cyber Security CRC. A Professional Electronics Engineer (Engineers Australia), he has supervised 12+ students and received the Outstanding International Student Award. His industry roles include Cyber Security Engineer, Chief Project Officer (Migrova), and Software Engineer (Kindship). 🌍🔐🤖
🎓 Education
Hussain Ahmad is currently pursuing a Doctor of Philosophy (PhD) in Cybersecurity and Software Engineering at The University of Adelaide, Australia (2021-2025). His research focuses on self-adaptive cybersecurity and software scalability, under the supervision of Claudia Szabo, Christoph Treude, and Markus Wagner. Prior to this, he earned a Bachelor of Science in Electronic Engineering (2013-2017) from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan, achieving a High Distinction. His bachelor’s degree is accredited by Engineers Australia, reflecting his strong foundation in electronic engineering and advanced computing systems. 📡🔐📊
💼 Work Experience
Hussain Ahmad is an R&D Scholar in Software Security & Scalability at The University of Adelaide (2021-2025), leading 15+ R&DI projects at the intersection of Cybersecurity, Software Engineering, and Machine Learning, with high-impact findings published in leading journals. As a Research Supervisor (2022-2025), he mentors students on industry-focused R&DI projects in collaboration with CSIRO’s Data61, Migrova, and Schlumberger. He also serves as Chief Project Officer at Migrova (2023-2024), securing AUD 100k for AI-driven cybersecurity solutions. Additionally, he developed an ML-enabled therapist recommendation engine as a Software Engineer at Kindship (2022-2023). 🔐💻🚀
🏆 Awards & Achievements
Hussain Ahmad has received numerous prestigious accolades for his contributions to R&DI, cybersecurity, and academic excellence. He was featured in a leading newspaper and honored with the Outstanding International Student Award at The University of Adelaide. He won the Exceptional HDR Representative Award and secured People’s Choice & Second Place in the 2024 Visualise Your Thesis Competition. His achievements include a Google Cloud Grant, AUD 100k Seed-Start grant, and three RTP Scholarships. Additionally, he is an accredited Professional Electronics Engineer, a recipient of six Dean’s Excellence Awards, and was awarded a GIKI Fully Funded Financial Assistance Award. 🏅🔬🚀
🔍 Research Focus
Hussain Ahmad’s research primarily focuses on cybersecurity, software engineering, and microservice architectures. His work on Microservice Vulnerability Analysis in IEEE Access (2024) highlights security risks, threat modeling, and empirical insights into software vulnerabilities. His expertise extends to self-adaptive cybersecurity, cloud computing, machine learning, and autonomous systems. With multiple high-impact publications and industry collaborations, he contributes to secure software scalability, cyber defense mechanisms, and AI-driven security solutions. His interdisciplinary approach bridges software security, electronic engineering, and automation, making him a key researcher in next-generation secure computing systems. 🔐💻📡
Publication Top Notes
1️⃣ A Review on C3I Systems’ Security: Vulnerabilities, Attacks, and Countermeasures – ACM Computing Surveys, 2023 🏆
2️⃣ Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for Microservice Architectures – ICSA, 2024 🏆
3️⃣ Towards Resource-Efficient Reactive and Proactive Auto-scaling for Microservice Architectures – Journal of Systems and Software, 2024 🏆
4️⃣ Microservice Vulnerability Analysis: A Literature Review with Empirical Insights – IEEE Access, 2024 🏆
5️⃣ Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures – Cluster Computing, 2024 🏆
6️⃣ A Survey on Immersive Cyber Situational Awareness Systems – Submitted to IEEE Access, 2024 🏆 🛡️
7️⃣ ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models – 2024 🏆
8️⃣ Machine Learning Driven Smishing Detection Framework for Mobile Security – Submitted to Cluster Computing, 2024 🏆
9️⃣ What Skills Do Cyber Security Professionals Need? – Submitted to Neurocomputing, 2025 🏆
🔟 Exploring Sentiments of ChatGPT Early Adopters using Twitter Data – 2023 🏆