Summary
Yuantian Miao is a lecturer and PhD candidate in Security and Privacy of Machine Learning with 10 years’ experience bridging academic research, teaching and course design in cybersecurity and IoT. Based at the University of Newcastle, he combines hands-on software development (C/C++, Java, Python, SQL, Android) and tooling experience (Docker, MATLAB, PyTorch/Kaldi, DeepSpeech) with practical course and curriculum development for university-level security subjects. He has a strong track record mentoring students and supporting research teams—translating experiment design and data analysis into publishable outcomes—and has received multiple academic awards for top performance. His portfolio includes student-facing apps and websites that prioritize usability (an assignment scheduler with deadline-driven sorting and peer reviews, and a cross-platform travel planner with sensory enhancements). Notably, he volunteers in youth cybersecurity mentoring and has contributed to IoT security curriculum development, reflecting a commitment to applied education and industry-relevant skills.
10 years of coding experience
2 years of employment as a software developer
学士, 计算机科学与技术-软件工程, 学士, 计算机科学与技术-软件工程 at 西南大学
Bachelor of IT (Honors), Information Technology, Average 97, Bachelor of IT (Honors), Information Technology, Average 97 at Deakin University
PhD candidate, Security and Privacy of Machine Learning, PhD candidate, Security and Privacy of Machine Learning at Swinburne University of Technology