School of Engineering

Signal & Information Processing Research

Signal and Information Processing Research

Overview

Our primary aim is to develop techniques to interpret, understand and act on information contained in the data. Our work is also notable for the exploitation of the synergy that exists in multimedia and multimodal data.

The interests of the theme are in developing signal processing for vision, multimedia and biomedical data analysis. Our focus lies in the mathematical advancement of nonlinear signal processing theory and its applications extend far beyond traditional techniques.

Our signal and information processing research can be subdivided as follows:

We are also part of the University Defence Research Collaboration.

 

 

Research Collaborations

Academic

  • Queen Mary University of London
  • Leeds University
  • Lancaster University
  • Sheffield University
  • Queen's University Belfast
  • Sheffield Hallam
  • Institute of Molecular Medicine USA
  • Northumbria University
  • Regional Hospitals
  • Technical University of Cartagena
  • IIT Kharagpur
  • Malaysia Multimedia University
  • Southwest Jiaotong University China.

Industrial

  • HW Communications
  • RINICOM Ltd
  • Shlumberger
  • BT Medical
  • Foster Findlay
  • QinetiQ
  • e-Therapeutics
  • Torridon
  • Nortel
  • Office of the Deputy Prime Minister.