About Me
I am currently working as a Lecturer (Teaching & Research) in Computer Systems and Networking in the School of EE&T at the University of New South Wales (UNSW), Sydney, Australia. I received my B.Eng. (First Class Hons.) and Ph.D. degree from the University of New South Wales, Sydney, Australia.
My current research interests focus on AI for Network Observability including AI-Native Network Data, AI Models for Network Traffic Analysis, and AI Systems for Network Measurement.
I actively publish at the two top conferences (ACM SIGMETRICS and ACM IMC) of the Systems Measurement & Perf. Analysis Discipline ranked by CSRankings; and JCR Q1 journals in Computer Networking such as IEEE Transcations on Networking, IEEE Transactions on Network and Service Management, and Computer Networks.
The website also contains a list of my publications, blogs, teaching and professional services. You may also find my profile at Google Scholar and ResearchGate.
(For Future Students): Our group is continously looking for PhD students and UNSW undergraduate/honours thesis students who are self-motivated and have strong background in computer networks and systems. If you are interested, please do not hestiate contacting me via email [minzhao.lyu@unsw.edu.au].
Updates
(Oct 2025) Measuring Cloud Gaming at Scale is accepted at IEEE Transactions on Networking.
(Sep 2025) Measuring Cloud Gaming Contexts for Effective QoE first-authored by PhD student Yifan Wang is accepted at ACM IMC 2025.
(Sep 2025) Joined the TPC for PAM 2026.
(Jul 2025) Joined the TPC for ACM SIGMETRICS 2026.
(Mar 2025) Early yet Robust Flow Classification first-authored by MPhil student Rushi Babaria is accepted at ACM SIGMETRICS 2025.