firstname.lastname@example.org | 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 started my PhD studies in August 2014, supervised by Ilias Kyriazakis (from the School of Agriculture, Food and Rural Development) and Thomas Plötz.
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.
Use of accelerometer activity monitors to detect changes in pruritic behaviors: Interim clinical data on 6 dogsSensors
Dancing with Horses: Automated Quality Feedback for Dressage Riders2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing325-336