email@example.com | Doctoral Trainee
My research interests lie in the domain of computational behaviour analysis for animals. I am developing novel techniques for using wearable technology to facilitate a better understanding of animal behaviour. Through my work I aim to develop methods and applications that allow us to guide the improvement of animal welfare and gain a better understanding of how animals behave in both natural and industrial settings.
I graduated from the School of Computing Science in 2012 with a dissertation in Artificial Intelligence methods to solve combinatorial optimisation problems in the field of Employee Scheduling.
- Automated Detection of Health and Welfare Problems in PigsAugust 30, 2011Justification Subclinical & clinical disease are the main factors responsible for pig system inefficiency, resulting in reductions in productivity and pig welfare. Currently, disease detection is done through human observation or diagnosti...
- Computational analysis of behaviour to detect and predict disease in animals.August 30, 2011Livestock are a key component in the Human food-chain. Ensuring their wellbeing is therefore of critical importance. In today's food aware society, maintaining the highest levels of animal welfare is a top priority of food producers. Animals whose h...