Mr. Vu Huy Mai
Details
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Department: School of Computing Technologies
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Campus: City Campus Australia
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vuhuy.mai@rmit.edu.au
Open to
- Collaborative projects
- Masters Research or PhD student supervision
- Teaching provision
- Mentoring (short-term)
About
I am a Computer Science and Information Technology academic with over eight years of teaching and coordination experience at RMIT University, across both on-campus and fully online delivery through Open Universities Australia. I teach undergraduate and postgraduate subjects in programming, software engineering, networking, cybersecurity, cloud computing, and databases, with particular expertise in Java, Python, and secure systems. I am currently a Lecturer (Education Focused) (Academic Career Development Fellow) in the School of Computing Technologies, where I contribute to course delivery, assessment design, and curriculum development while supporting diverse student cohorts. I hold a PhD in Computer Science from RMIT University, with research publications in privacy-preserving computing, cryptography, and machine learning, and maintain an active interest in cybersecurity and secure computing systems.
Research fields
- 4604 Cybersecurity and privacy
- 4605 Data management and data science
- 4606 Distributed computing and systems software
- 4609 Information systems
- 4006 Communications engineering
- 460402 Data and information privacy
Degrees
- Bachelor Degree (Honours) Level, Computer Science
- RMIT University
- Australia
- 2011
- Ph.D, Computer Science
- RMIT University
- Australia
- 2012 – 2017
Teaching interests
- Lecturer (Education Focused) / Academic Career Development Fellow, School of Computing Technologies, RMIT University
- Sessional Lecturer, Tutor, and Offering Coordinator (on-campus and OUA/online delivery)
- Teaching undergraduate and postgraduate subjects in programming, software engineering, networking, cybersecurity, cloud computing, and databases
- Design and delivery of lectures, tutorials, and practical labs
- Assessment and exam design, marking, and provision of detailed student feedback
- Curriculum development and alignment with industry practices
- Support for diverse student cohorts in face-to-face and online environments
Research interests
- Cybersecurity and secure computing systems
- Privacy-preserving computation and data confidentiality
- Applied cryptography and homomorphic encryption
- Secure cloud computing and distributed systems
- Internet of Things (IoT) security and smart grid systems
- Secure access control models and data protection mechanisms
- Biometric security systems, including ECG-based identification
- Machine learning applications in security and healthcare
- Signal processing for biomedical and physiological data
- Secure electronic health records and healthcare data protection
