My research is mostly applied, and in the following fields:
Machine Learning, Neural Networks and AI
My neural network research uses machine learning to guide heuristic search.
My book, Applying Neural Networks: A Practical Guide describes the process of using neural networks for commercial and industrial applications.
Computers in Care
Computers should be able to make it easier for us to live independently at home through illness or aging. Some of my work in this field is listed below:
The MATCH project is a collaboration between academia, industry and care providers to encourage the development and use of IT in care at home. I am also developing a system that predicts patterns of symptoms for individual patients to help them plan their social and care needs through a period of illness. This one predicts symptoms for patients undergoing chemotherapy. This one predicts the onset of sepsis before the symptoms appear. This one is about searching for an optimal chemotherapy schedule using genetic algorithms.
I've implemented a number of computer tools to help health practitioners measure and improve their performance. The CARE measure web site is used by practitioners to measure their empathy with patients. The SMILI tool is used to measure the impact of midwives' behaviour on post-natal outcomes for mothers.
The USBDux project provides data acquisition devices that run on Linux and connect via the USB port. We design and manufacture them here in the UK and have sold over 400 all over the world. For more details see the USBDux web site.
The Magic Mirror is an installation that uses computer vision techniques to make you vanish unless you keep moving. It has been shown at the Perth Concert Hall and is now on display at the Camera Obscura in Edinburgh. Freaky!
- Developing meta-ethnography reporting guidelines and standards for research (eMERGE)
PI: Dr Emma France
Funded by: National Institute for Health Research (NIHR)
- Knowledge Transfer Partnership between University of Stirling and The Royal College of Midwives
PI: Professor John Bowers
Funded by: Technology Strategy Board, Royal College of Midwives and Knowledge Transfer Partnerships
- Knowledge Transfer Partnership between University of Stirling & ThinkAnalytics Limited
PI: Mr Kevin Swingler
Funded by: Technology Strategy Board and ThinkAnalytics Ltd
- The Electronic Sales Engine - An artificial Intelligence based sales optimization system
PI: Mr Kevin Swingler
Funded by: Scottish Enterprise