Welcome

Hao Fang

PhD Candidate @ University of Edinburgh

I am a PhD candidate in the School of Engineering at the University of Edinburgh, advised by Dr. Yunjie Yang, working on machine learning methods for next-generation pulmonary electrical impedance tomography (EIT). My research sits at the intersection of medical imaging, inverse problems, digital twins, and deep learning, with a particular focus on high-quality 3D and 4D lung function reconstruction from low-dimensional voltage measurements.

Before starting my PhD, I worked as a Software and Algorithm Engineer at the Brain-Machine Fusion Intelligence Institute, Jiangsu Industrial Technology Research Institute, where I developed software and algorithms for brain-computer interface systems. I received my MSc in Signal Processing and Communications from the University of Edinburgh, advised by Dr. Elliot J. Crowley, and my BEng in Electrical and Electronic Engineering from Southwest Jiaotong University, advised by Prof. Deqing Huang.

  • Medical imaging: pulmonary EIT, 3D/4D reconstruction, clinical bedside monitoring, and Sim2Clinic digital-twin data loops.
  • Learning for inverse problems: deep image priors, quantum-inspired inference, attention regularization, robustness, and domain adaptation.
  • LLM/Agent systems: automated evaluation, shopping-agent benchmarks, grounding, trajectory quality, and applied AI product workflows.
  • Flexible sensing: EIT-based electronic skin, tactile perception, and proprioception for soft robotic systems.

News

2026.05: Paper accepted by IEEE Transactions on Industrial Electronics: Self-Supervised Cross-Source Point Cloud Registration Framework with Geometric Tree Transformer for HMD 6D Pose Estimation.
2026.04: Received the I2MTC 2026 Student Travel Grant from IEEE Instrumentation and Measurement Society.
2026.02: Conference paper accepted as an oral presentation at IEEE I2MTC 2026: Dual-branch Attention Regularization for Clinical 3D Pulmonary EIT.
2025.12: Paper accepted by Engineering Applications of Artificial Intelligence: Deep Dynamic Image Prior for Three-dimensional Time-sequence Pulmonary EIT.
2025.11: Paper accepted by IEEE Internet of Things Journal: Multifrequency EIT Reconstruction with Multibranch Attention Image Prior.
2026.01: Recognized as an Outstanding Reviewer for IEEE Transactions on Instrumentation and Measurement.

Publications

Journal Articles

EAAI 2026

Deep Dynamic Image Prior for Three-dimensional Time-sequence Pulmonary Electrical Impedance Tomography

H Fang, et al.

Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2025.113521 First author

IoT-J 2025

Multifrequency Electrical Impedance Tomography Reconstruction with Multibranch Attention Image Prior

H Fang, et al.

IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2025.3624228 First author

TII 2025

QuantEIT: Ultra-Lightweight Quantum-Inspired Inference for Electrical Impedance Tomography

H Fang, et al.

IEEE Transactions on Industrial Informatics Minor Revision First author

TMI 2026

DRGP-θ: Self-Balancing Directional Gradient Projection for Lung Electrical Impedance Tomography

H Fang, et al.

IEEE Transactions on Medical Imaging Under Review First author

TIE 2026

Self-Supervised Cross-Source Point Cloud Registration Framework with Geometric Tree Transformer for HMD 6D Pose Estimation

L Li, H Fang, et al.

IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2026.3670314 Second author

  1. H Fang, et al. Robust three-dimensional pulmonary electrical impedance tomography via training-free dual-frame network prior, Engineering Applications of Artificial Intelligence, under review.
  2. Z Liu,H Fang, et al. Clinically ready, structure-aware imaging of pulmonary function dynamics enabled by digital respiration-driven learning, Nature, in progress.
  3. L Li, H Fang, et al. DAVD: Density-Aware Versatile Descriptors and Progressive Correspondence Pruning for Robust Point Cloud Registration, IEEE Transactions on Pattern Analysis and Machine Intelligence, under review.
  4. S Teng, H Fang, et al. Tracking-Assisted Flexible Electrical Impedance Tomography for Deformation-Aware Tactile Sensing, IEEE Transactions on Robotics, under review.
  5. Z Liu, H Fang, et al. Regularized Shallow Image Prior for Electrical Impedance Tomography, IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2025.3545548.

Conference Papers

  1. H Fang, et al. Dual-branch Attention Regularization for Clinical 3D Pulmonary Electrical Impedance Tomography, IEEE I2MTC 2026, accepted, oral.
  2. H Fang, et al. Multi-Modal EIT Imaging Using Lensfree and Flexible Impedance Sensor, 2024 IEEE SENSORS, DOI: 10.1109/SENSORS60989.2024.10784633.
  3. H Fang, et al. Frequency-difference Cell Imaging with Flexible Micro-EIT Sensor, EIT 2024.
  4. H Fang, et al. V-SWIR-IF: Visible and Short-Wave Infrared Image Fusion, ISCEIC 2023, DOI: 10.1109/ISCEIC59030.2023.10271197.

Patents

  • Multi-channel EEG signal acquisition device, Chinese Utility Model Patent, CN219,147,613 U, 2023.
  • Integrated active dry electrode and EEG acquisition device, Chinese Utility Model Patent, CN219,270,940 U, 2023.

Projects

Precision 4D Pulmonary Functional Imaging

Medical imaging + machine learning + digital twins, 2023-present

Builds a Sim2Clinic data-generation pipeline for 4D pulmonary EIT: segmenting lungs, thoracic cavity, and multi-tissue structures from large-scale clinical CT; constructing individualized thorax-electrode FEM models in COMSOL; and generating large-scale 4D EIT datasets through physiology-informed respiratory dynamics simulations.

Develops modular training paradigms, multimodal single-frame reconstruction models, and temporal autoregressive deep reconstruction models to recover high-quality 3D/4D lung function images from low-dimensional voltage sequences.

Models realistic measurement disturbances and introduces patient-adaptive strategies, validating robustness and generalization on multi-center clinical datasets.

Clinical Bedside Real-time Medical Imaging

Industry-university collaboration, 2024-present

Develops 3D lung EIT reconstruction algorithms for real-time ICU bedside imaging with Prunus Medical and the University of Edinburgh.

SELECT: Next-generation Soft Robots

ERC Starting Grant project, 2024-present

Studies EIT-based reconstruction methods for tactile perception and proprioception in soft robotic systems.

FLEX-AI Electronic Skin

ERC Proof of Concept project, 2026-present

Develops perception algorithms for scalable electronic skin and autonomous intelligence in soft robots.

LLM/Agent Evaluation for Shopping Scenarios

Independent research project, 2026

Designs automatic evaluation metrics for shopping agents covering constraint satisfaction, grounding, factuality, comparison quality, and trajectory quality.

BrainTunes BCI Music Interaction

Software and algorithm development, 2022-2023

Designed and implemented a lightweight WeChat mini program for physiological signal acquisition, visualization, and closed-loop music feedback.

Experience

  • 2024.03 - present Research Assistant, University of Edinburgh. Tutor and demonstrator for undergraduate and MSc courses, supporting teaching and laboratory supervision.
  • 2022.11 - 2023.09 Software and Algorithm Engineer, Brain-Machine Fusion Intelligence Institute, Jiangsu Industrial Technology Research Institute. Developed BCI software and algorithms, supervised joint-training MSc student projects, and supported technical project design.
  • 2023 - present Reviewer for IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Computational Imaging, Measurement, and related venues.

Educations

  • 2023.10 - present PhD in Engineering, University of Edinburgh, UK. Research on machine learning methods for next-generation pulmonary EIT.
  • 2021.09 - 2022.09 MSc in Signal Processing and Communications, University of Edinburgh, UK.
  • 2017.09 - 2021.06 BEng in Electrical and Electronic Engineering, Southwest Jiaotong University, China. Weighted average: 90.36/100, top 3%.

Honors and Awards

  • I2MTC 2026 Student Travel Grant ($1,200 USD), IEEE Instrumentation and Measurement Society, 2026.
  • Outstanding Reviewer 2026, IEEE Transactions on Instrumentation and Measurement, IEEE Instrumentation and Measurement Society, January 2026.
  • First-class Comprehensive Scholarship, Southwest Jiaotong University, 2020.
  • Merit Student, Southwest Jiaotong University, 2020.