Dr Paul Hill
Scholar

Dr Paul Hill

Google Scholar ID: luxEujEAAAAJ
The University of Bristol
computer visionmachine learningimage processingperceptual image processing
Citations & Impact
All-time
Citations
975
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Papers published on Google Scholar and research-information.bris.ac.uk. Specific research projects include HABNet, Automated Alert System for Volcanic Unrest, Perceptual Image Fusion, and Wavelet Contrast Sensitivity.
Research Experience
  • 1. July 2020: Research Audience Immersion on Local Creative Cluster: CIC.
  • 2. March 2020: Supervision of Lines and Waves / Comms Labs.
  • 3. February-April 2020: Lecturing on Optimal Signal Processing.
  • 4. January 2020: Local organizing committee for PCS 2021.
  • 5. HABNet project: Development of a state-of-the-art detection and prediction system for Harmful Algal Bloom events using machine learning and remote sensing techniques.
  • 6. Automated Alert System for Volcanic Unrest: Automatic detection of volcanic ground deformation from InSAR images.
Education
  • Previously worked in research at the University of Bristol and has a few years of experience in industry.
Background
  • Currently working as a Senior Research Fellow at the University of Bristol, focusing on various fields related to signal and image processing. Also a member of the Visual Information Laboratory and the Bristol Vision Institute, led by Prof. David Bull within the Department of Electrical and Electronic Engineering, University of Bristol.
Miscellany
  • Research interests include compression, image fusion, machine learning, audio processing, remote sensing, signal processing, and perceptual processing.