The Industrial Informatics and Signal Processing group (iisp) is part of the School of Engineering and Design at the University of Sussex. We actively research in computer vision, optics and healthcare among other areas.
The iisp research group is conducting research into computer vision human action tracking, understanding and surveillance using deep learning. We have a focus on integrated multi-camera systems that are robust to lighting changes and occlusion. The group researches integrated IT systems that are capable of supporting multi sensor environments and providing decision support for a number of applications. Image and signal processing is also applied in biomedical diagnostics and prognostics incorporating impedance spectroscopy, tomography systems & fluorescence microscopy.
Our collaboration on Image Processing of CT and MRI images with the Brighton & Sussex Medical School has led to many high quality publications in leading journals that have influenced healthcare. As a result of this collaboration we have developed texture analysis algorithms that can detect cancer, schizophrenia and autism. There is a spin out company stemming from this collaboration called TexRAD Ltd.
We work on the interoperability of business IT systems and the group has worked with open source technology and data standardisation in the context of health care systems. Research into the interoperability of National Health Service data and services provides highly pertinent know-how using HL7 and SNOMED in an SOA architecture. We are collaborating with the University of Utah, School of Medicine on the design, development, and validation of a standards-based task management service to enable a Service-Oriented Approach to Clinical Decision Support. In this project we will integrate the Tolven EHR/PHR system with Utah’s Open CDS (Clinical Decision Support).