Hao Yu

Hao Yu

Postdoctoral Research Associate in Medical Imaging, Institute for Imaging, Data and Communications

University of Edinburgh

Biography

Hao Yu is a postdoctoral research associate at the University of Edinburgh. He received his Ph.D. in Engineering from the University of Edinburgh in 2025. During his Ph.D., he worked extensively on electrical impedance tomography (EIT) combined with deep learning for lung imaging and two-phase flow volume fraction measurement. Currently, he is exploring advanced artificial intelligence techniques for medical imaging applications and fault diagnosis.

Interests
  • Artificial Intelligence
  • Medical Imaging
  • Fault Diagnosis
  • Rmote sensing
Education
  • PhD, Institute for Imaging, Data and Communications, 2020-2025

    University of Edinburgh, Edinburgh, UK

  • MSc, Electrical Engineering and Automation, 2018–2020

    Harbin Institute of Technology, Harbin, China

  • BEng, Exchange student, Armour College of Engineering, 2018

    Illinois Institute of Technology, Chicago, USA

  • BEng., Electrical Engineering and Automation, 2014–2018

    North China Electric Power University, Baoding, China

Publications

Quickly discover relevant content by filtering publications.
(2025). A novel real-time efficacy assessment method for tumor treating fields. Engineering Analysis with Boundary Elements.

DOI

(2025). A Novel Generative Adversarial Network Based on Conditional VAE for EIT Reconstruction of Lung Diseases. International Journal of Imaging Systems and Technology.

PDF

(2025). UFLUX v2.0 A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake. IEEE Geoscience and Remote Sensing Letters.

DOI

(2023). V-Pen An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking. IEEE Transactions on Instrumentation and Measurement.

DOI

Contact