Jiale Liu

Jiale Liu

PhD Student

The University of Edinburgh

Research Interests

AI for Science
Data-Driven Modelling of Complex Dynamics
Intelligent Engineering Systems
LLMs and Autonomous Agents

About

I am a PhD student at the School of Physics and Astronomy, The University of Edinburgh, advised by Prof. Chris Stock. I also work closely with Prof. Bo Liu at the University of Glasgow and Dr. Russell Ewings at STFC Rutherford Appleton Laboratory.

Prior to this, I obtained dual Bachelor of Engineering degrees with Honours in Communication Engineering and First Class Honours in Electronics & Electrical Engineering, respectively from the University of Electronic Science and Technology of China (UESTC) and the University of Glasgow.

I aim to develop the next generation of intelligent physical and engineering systems to support the fundamental understanding of complex dynamics and drive automated decision-making processes. By designing and integrating machine learning-assisted optimization, deep learning, and LLM-based frameworks, I strive to address large-scale and data-intensive challenges in scientific discovery and engineering workflows, such as handling large-scale neutron spectroscopy data in condensed matter physics, diagnosing faults in industrial systems, and automating the electronic design process.

Selected Publications

View All

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis

Jiale Liu, Dandan Peng, Huan Wang, Chenyu Liu, Yan-Fu Li, Min Xie

IEEE Transactions on Cybernetics

InsightX Agent: An LMM-Based Agentic Framework With Integrated Tools for Reliable X-Ray NDT Analysis

Jiale Liu, Huan Wang, Yue Zhang, Xiaoyu Luo, Jiaxiang Hu, Zhiliang Liu, Min Xie

IEEE Transactions on Reliability

A Brain-Inspired Energy-Efficient Wide Spiking Residual Attention Framework for Intelligent Fault Diagnosis

Jiale Liu, Huan Wang

Reliability Engineering & System Safety

News

2026-05
I am glad to be recognized as a Silver Reviewer at ICML'26
2026-02
Two of my papers on LLM-based frameworks for industrial fault diagnosis have been accepted by IEEE Transactions on Cybernetics and IEEE Transactions on Reliability respectively 🎉
2025-11
Check out my open-source project PRISM, an academic homepage builder based on this site
2025-09
My work on wafer composite defect recognition has been accepted by ISA Transactions 🎉
2025-09
Starting my PhD at The University of Edinburgh