Curriculum Vitae

PhD student in the School of Computing at Newcastle University, United Kingdom. My research explores intelligent and secure IoT systems through TinyML, adaptive anomaly detection, and lifelong learning.

Contact: R.Xue5 [at] newcastle.ac.uk
GitHub: github.com/firepond

Education

Newcastle University, United Kingdom

PhD in Computing (2024 - present)

Research topics: IoT intelligence, lifelong anomaly detection, resource-aware TinyML, AI agents for cyber-physical systems.

University of Glasgow, United Kingdom

MSc in Computer Systems Engineering (Sept 2022 - Oct 2023)

Graduated with Distinction; GPA 17.8/22.

Beihang University (BUAA), Beijing, China

Bachelor of Engineering in Information Security (Sept 2017 - Sept 2021)

Graduated with Honors from ShenYuan Honors College.

Research Interests

Internet of Things security and reliability
Tiny machine learning for embedded and resource constrained devices
Streaming and lifelong anomaly detection
Continual learning for cyber-physical systems
Autonomous AI agents for edge intelligence

Publications

STREAM-LAD: A Practical Streaming Lifelong Anomaly Detection Algorithm for IoT. ICDM OWAD, 2025.
Energy-Efficient Change Point Detection Algorithm for Resource-Constrained Devices. EWSN EMERGE Workshop, 2025.

Technical Skills

Programming: Java, Python (PyTorch, NumPy, scikit-learn), C and C++, CUDA, Go, SQL.
Embedded and hardware: Raspberry Pi, ESP32, Arduino, high level and low level development.
Tools and platforms: Linux (Kali, Ubuntu), shell scripting (Bash and Zsh), LaTeX (Overleaf), Microsoft Office, Git.

Languages

English: Professional proficiency (TOEFL 103).
Chinese: Native speaker.
Japanese: A2 proficiency.

Personal Interests

Enjoy cooking, skiing, and hiking outside of the lab.