Hao Fang
Scholar

Hao Fang

Google Scholar ID: WyRCGEQAAAAJ
University of Edinburgh, School of Engineering
Deep LearningMedical ImagingInverse ProblemsElectrical Impedance TomographySoft Robotics
Citations & Impact
All-time
Citations
20
 
H-index
3
 
i10-index
0
 
Publications
15
 
Co-authors
9
list available
Resume (English only)
Research Experience
  • - Worked as an algorithm engineer at the Brain-Machine Fusion Intelligence Institute of the Jiangsu Industrial Technology Research Institute (JITRI), specializing in developing algorithms for brain-computer interfaces
Education
  • - PhD student at the Institute for Imaging, Data and Communications (IDCOM) within the School of Engineering at the University of Edinburgh, supervised by Dr. Yang
  • - M.S. in Signal Processing and Communications from the University of Edinburgh, advised by Dr. Elliot J. Crowley
  • - BEng in Electronic and Electrical Engineering through a joint program between the University of Leeds and Southwest Jiaotong University, with Prof. Huang as the undergraduate supervisor
Background
  • Research interests include deep learning, tomography, medical imaging, inverse problem, and BCI.