🥰 Welcome!

Hao Yu

Research Associate @ University of Edinburgh

I am a Postdoctoral Research Associate in the School of Engineering in the Institute for Imaging, Data and Communications (IDCOM) at the University of Edinburgh, supervised by Dr. Yunjie Yang. Previously, I completed my PhD at University of Edinburgh, advised by Dr. Jiabin Jia (co-advised by Dr. Chang Liu). Prior to that, I obtained my Master's degree from Harbin Institute of Technology, supervised by Prof. Jibin Zou and co-supervised by Prof. Guodong Yu.

My research focuses on physical AI driven by instrumentation and measurement, exploring how AI can be empowered by instrument-based observations to perceive and understand complex, multiscale physical systems—from individual health to industrial processes and environmental sensing.

Physical AI for Sensing: Industrial Processes, Equipment Health, Healthcare, and Environmental Remote Sensing
Trustworthy AI: Reliable and Interpretable Deep Learning and Large Language Models

📢 I am seeking highly self-motivated PhD, Master and Bachelor students or collaborators interested in intelligent sensing, trustworthy AI, and LLMs. Feel free to reach out via email if you are interested in potential research collaborations.

🔥 News

2025.10: 👏👏 Received the funding from the EPSRC IAA Innovation Competition as a Principal Investigator (PI).
2025.10: 🎉🎉 Awarded the Danish DSSA Visit Grant to conduct a short-term research visit.
2025.09: 🎯 Will serve as a Session Chair for the Special Session “Medical Tomography in the AI Era: From Smart Measurement to Clinical Translation” at IEEE International Instrumentation and Measurement Technology Conference 2026. See you in France 🇫🇷!
2025.07: 🎉🎉 One paper accepted by International Journal of Applied Earth Observation and Geoinformation.
2025.06: 🎉🎉 One paper accepted by IEEE Transactions on Power Electronics.
2025.05: 🎉🎉 One paper accepted by IEEE Transactions on Industrial Electronics.
2025.04: 👨‍🔬 Joined the SMART Group, University of Edinburgh as a Research Associate.
2025.04: 🎓 Successfully obtained the Ph.D. degree from the University of Edinburgh.

📝 Publications

📄 Papers and Conferences

TIE 2025

Time-Frequency Domain Lightweight Dual-Branch MSCFormer for PMSM ITSC Fault Diagnosis Hao Yu, Shaobin Li, Yongxiang Xu, Zihao Zhang, Haoyi Mu, Wei Han

Project｜ Citations 2 ｜ IEEE Transaction on Industrical Electronics

TPEL 2025

Interpretable Harmonic-Aware Dual-Branch Neural Network for Trustworthy Diagnosis of OCFs in DTP-PMSMs with Enhanced Disturbance Robustness Boyuan Zheng, Bingtao Liu, Junyu Yan, Mi Tang, Pericle Zanchetta, Hao Yu*

Project｜ Citations 0 ｜ IEEE Transaction on Power Electronics

Measurement 2025

Feasibility Analysis of EIT-Guided Lung Tumor Tracking with Prior Information for Robotic Arm-Assisted Radiotherapy Hao Yu, Hao Yu, Zhongxu Dong, Wei Han, Yang Wu, Chunpeng Wang, Zhe Liu, Jiabin Jia

Project｜ Citations 0 ｜ Measurement

TIM 2022

Multiscale Voltage Reconstruction With Attention-Based Network for Volume Fraction Prediction of Industrial Oil–Water Two-Phase Flow by EIT Hao Yu, Zhixi Zhang, Yang Gao, Jiabin Jia

Project｜ Citations 27 ｜ IEEE Transaction on Instrumentation and Measurement

TIM 2022

Estimation of Reference Voltages for Time-Difference Electrical Impedance Tomography Hao Yu, Xingchen Wan, Zhongxu Dong, Zhixi Zhang, Jiabin Jia

Project｜ Citations 14 ｜ IEEE Transaction on Instrumentation and Measurement

High-Resolution Conductivity Reconstruction by Electrical Impedance Tomography using Structure-Aware Hybrid-Fusion Learning, Hao Yu*, Haoyu Liu, Zhe Liu, Zeyu Wang, Jiabin Jia*, Computer Methods and Programs in Biomedicine, 2024
Torque Performance Improvement For Slotted Limited-Angle Torque Motors By Combined SMA Application And GA Optimization, Hao Yu, Guodong Yu*, Yongxiang Xu, Jibin Zou, IEEE Transactions on Magnetics, 2020
Long-Horizon FCS-MPC Trained 1-D Convolution Neural Networks for FPGA-Based Power-Electronic Converter Control With a Si/SiC Hybrid Converter Case Study, Ning Li, Hao Yu*, Stephen Finney, Paul D. Judge, IEEE Transactions on Industrial Electronics, 2025
Extracting Reference Voltages From Measurement Voltages For Oil-Water Two-Phase Flow Measurement Of Electrical Impedance Tomography, Hao Yu, Xingchen Wan, Jiabin Jia*, Flow Measurement and Instrumentation, 2023
Multimodal Deep Learning Enables Forest Height Mapping From Patchy Spaceborne LiDAR Using SAR And Passive Optical Satellite Data, Man Chen, Wenquan Dong*, Hao Yu*, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T.A. Mitchard, International Journal of Applied Earth Observation and Geoinformation, 2025
Phase-Angle-Free Harmonic Coupling Analysis And Injection Sites Identification Approach Via Data-Driven Regression Model Of Harmonic Voltage Versus Current, Jieyu Yao, Hao Yu*, Verner Püvi, Michael Merlin, Paul Judge, Sasa Djokic, International Journal of Electrical Power and Energy Systems, 2025
V-pen: An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking, Wei Han, Yinghao Li, Hao Yu, Jiabin Jia*, IEEE Transactions on Instrumentation and Measurement, 2023
Integrating Kolmogorov-Arnold Network and UNet Architecture for Reconstruction of 3D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields, Yueyue Xiao^#, Liang Wang^#, Chunxiao Chen*, Songpei Hu, Ming Lu*, Hao Yu, Jagath C. Rajapakse, IEEE Transactions on Instrumentation and Measurement, 2025
UFLUX v2.0: A Process-Informed Machine Learning Framework For Efficient And Explainable Modelling Of Terrestrial Carbon Uptake, Wenquan Dong, Songyan Zhu*, Jian Xu, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi, IEEE Geoscience and Remote Sensing Letters, 2025
A Novel Generative Adversarial Network Based On Conditional VAE For EIT Reconstruction Of Lung Diseases, Yueyue Xiao^#, Jie Yu^#, Chunxiao Chen*, Liang Wang, Songpei Hu, Bokai Chen, Hao Yu, International Journal of Imaging Systems and Technology, 2025
A Novel Real-Time Efficacy Assessment Method For Tumor Treating Fields, Yueyue Xiao^#, Songpei Hu^#, Chunxiao Chen*, Hao Yu, Liang Wang, Jie Yu, Bokai Chen, Ming Lu*, Jagath C. Rajapakse, Engineering Analysis with Boundary Elements, 2025

📖 Educations