About

I am a PhD candidate at Macquarie University (Sydney, Australia), supervised by Dr. Ningning Hou. My research focuses on the Artificial Intelligence of Things (AIoT), including LoRa networks and AI agents for IoT systems. Before my PhD, I worked in industry for about six years as a computer vision engineer, mainly on perception for autonomous driving. I received my Master's degree in Computer Science from The University of Adelaide and my B.Eng. degree from Beijing University of Posts and Telecommunications (BUPT).

Research interests: AIoT, LoRa, AI Agents, Computer Vision

News

• [2026/10] Awarded the Macquarie University Postgraduate Research Fund (PGRF).
• [2026/08] One paper accepted to ICNP’26.
• [2025/02] Started PhD at Macquarie University, supervised by Dr. Ningning Hou.

Publications

[ICNP’26] “Taming SNR Heterogeneity: Adaptive Expert Routing for Weak LoRa Signal Decoding”
Shuo Yan, Ningning Hou, Qiang Yang. In IEEE ICNP, Tempe, Arizona, USA, 05–08 Oct 2026. (CCF-B)
[Project Page] [Code]

Patents

“Self-supervised Fisheye Camera Image Feature Point Extraction Method, Device, and Storage Medium”
Shuo Yan, Rugao Zhang, Zhenghua Yu. Chinese Patent Application No. 202111338016.X, filed Dec 2021.

Teaching

• Teaching Assistant, COMP2270 Networking and Cloud Computing, Macquarie University, Session 1, 2026

Service

• Reviewer, IEEE International Conference on Mobility, Sensing and Networking (MSN) 2026