Jiale Liu

Jiale Liu

Incoming PhD Student

University of Edinburgh

Research Interests

Machine Learning for Science & Engineering
Neutron Spectroscopy Data Analysis
Industrial Fault Diagnosis
AI-Driven Engineering Design

About

I am an incoming Ph.D. student at the School of Physics and Astronomy, University of Edinburgh, where I will be supervised by Prof. Christopher Stock, Dr. Russell Ewings (Rutherford Appleton Laboratory) and Prof. Bo Liu (University of Glasgow).

Prior to this, I obtained a B.Eng. with Honours in Communication Engineering from the University of Electronic Science and Technology of China (UESTC) and a B.Eng. with First Class Honours in Electronics & Electrical Engineering from the University of Glasgow (UoG).

My current research focuses on applying machine learning and artificial intelligence methods to challenges in science and engineering. My specific interests include handling neutron spectroscopy data in condensed matter physics, diagnosing faults in industrial systems for reliability engineering, and using machine learning for engineering design automation, such as in the design of radio frequency integrated circuits (RFIC).

Selected Publications

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

Jiale Liu, Huan Wang

Reliability Engineering & System Safety

QGFORMER: Quantum-Classical Hybrid Transformer Architecture for Gravitational Wave Detection

Jiaxiang Hu, Jiale Liu

2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

News

2025-08

Starting Ph.D. at the University of Edinburgh