Xi Zhang
Postdoctoral Research Fellow · Macquarie University
Sydney, AU
I'm a researcher specialising in machine learning and AI, with a focus on on-device learning, millimetre-wave radar sensing, and large language models for sensor applications. My work sits at the boundary of systems, sensing, and deep learning.
I completed my PhD at RMIT University in 2024, where my thesis explored enabling advanced human sensing through millimetre-wave radar. The PhD produced 6 publications at Core A* venues including MobiCom, SenSys, IPSN, IEEE TMC, and IEEE ToN.
I'm currently at Macquarie University working on the next generation of intelligent sensing systems — combining mmWave radar with on-device ML and LLMs to build privacy-preserving, ubiquitous health monitoring.
Experience
Postdoctoral Research Fellow
Macquarie University · Sydney, AU
- On-device machine learning for resource-constrained devices
- mmWave radar-based health sensing (blood pressure, respiration, emotion)
- LLM + sensor fusion for intelligent physiological monitoring
AI Engineer
Deego Technology · Remote
- Designed and deployed indoor positioning systems using Wi-Fi, BLE, and IMU fusion
- Built deep learning toolkit for production model training and deployment
- Led R&D on sensor-based activity recognition pipelines
Research Assistant
RMIT University · Melbourne, AU
- Designed DNN architectures for gesture classification from radar data
- Developed indoor positioning algorithms using RSSI and CSI
- Contributed to lab's mmWave sensing research infrastructure
Education
PhD · Computer Science
RMIT University · Melbourne, AU
Thesis: Enabling Advanced Human Sensing through Millimetre-wave Radar
6 top-tier publications (Core A*)
Master of Information Technology · Computer Science
Monash University · Melbourne, AU
International Merit Scholarship
Bachelor of Computer Science · Computer Science
Beijing Jiaotong University · Beijing, CN