Dr Aqeel Sahi

Name | Dr Aqeel Sahi |
---|---|
Email Address | aqeel.sahi@unisq.edu.au |
Job Title | Lecturer (Computing) |
Qualifications | MSc UUM, PhD USQ |
Department | School of Mathematics, Physics and Computing |
ORCID | https://orcid.org/0000-0003-3176-3310 |
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Biography
AQEEL SAHI received a PhD degree in cybersecurity and Machine Learning from the University of Southern Queensland, QLD, Australia, in 2018. With over 15 years of teaching experience in tertiary education, Aqeel's journey led him to his current role as a computing lecturer at the University of Southern Queensland. Passionate about cybersecurity, machine learning, and software engineering, he actively engages in research and collaboration to push the boundaries of knowledge in his field.
Aqeel's dual expertise in academia and industry as a senior software engineer enriches his teaching and inspires the next generation of innovators. His current research interests include the development of advanced cybersecurity algorithms, machine learning applications in network security, and innovative software engineering methodologies.
Employment
Position | Organisation | From | To |
---|---|---|---|
Lecturer (Computing) | University of Southern Queensland | 2024 |
Expertise
Artificial Intelligence, Machine Learning, Cryptography, Data and information privacy, Cybersecurity and privacy, Network Security, and Software engineering
Teaching
CSC1420 Algorithms and Data Structures,
CSC2402 Object-Oriented Programming,
CSC2406 Web Technology 1: Client Side
CSC8740 Client-side Web Technology (Master)
CSC8510 Internetworking (Master)
CSC1310 Networking 1: Internetworking
Fields of Research
- 460299. Artificial intelligence not elsewhere classified
- 460401. Cryptography
- 460402. Data and information privacy
- 460499. Cybersecurity and privacy not elsewhere classified
- 461204. Programming languages
- 461299. Software engineering not elsewhere classified
Professional Membership
Professional Membership | Year |
---|---|
IEEE | |
ACS |
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Quantum-Resistant Algorithm for Cryptographic Resilience in Health Cloud | Associate Supervisor | Masters | 2024 |
Modelling and Predicting Australian Coastal Erosion: Designing Smart AI-derived Deep Learning models | Associate Supervisor | Doctoral | 2024 |
Project title | Details | Year |
---|---|---|
Application of Artificial Intelligence Techniques for Automatic Waveform Generation | Project: “Application of Artificial Intelligence Techniques for Automatic Waveform Generation”. Investigators: Prof Ravinesh Deo, Dr Aqeel Sahi & DSTG Investigators. Funding Share, 30% FTE: $44,548. Year 2024/2025. | 2025 |