About Me
I am currently working as a Lecturer (Teaching & Research) in Network Communications 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 in 2017 and 2022 respectively.
My current research interests focus on AI for Network Observability problems 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 Measurement & Performance Analysis System Discipline ranked by CSRankings; and JCR Q1 journals in the Computer Networks and Communications discipline.
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
(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.
(Jan 2025) Successfully promoted to Lecturer at UNSW Sydney!
(Aug 2024) Characterizing Video Streaming User Platforms first-authored by PhD student Yifan Wang is accepted at ACM IMC 2024.
(Jun 2024) Network QoS Impacting Metaverse QoE first-authored by Undergraduate thesis student Rahul Dev Tripathi is accepted at IEEE MetaCom 2024.