Thesis: Multi-Objective Neuroevolution for Non-Contact Remote Monitoring of
Vital
Signs
Kevin Wilson
Thesis: Progressive Preference Articulation for Many-Objective Evolutionary
Computation.
Master's Students
Marcia Saul
Project: Towards Responsible AI: The Practice of Artificial Neural Networks
and Re-sampling Techniques in the Healthcare Industry
Daniel Dimanov
Project: Neuroevolution for Weapons Detectionin Digital Images
James Turner
Project: Blood pressure prediction through the utilisation of literature-based
and
unexplored rPPG features
Arjun Anil Kumar
Project: Hyper-parameter tuning on blood pressure data
Thi Pham
Project: Integrating collaborative filtering with sentiment analysis
for enhanced recommendation systems
Undergraduate Students (selected)
William Knight
Project: Applying Machine Learning to non-contact pulse detection via Webcam
Kiril Gyaurski
Project: Analysis of the performance of different implementations of NSGA-II, GDE3,
and MOEA/D-DRA, and development of a tool for comparison of the performance of evolutionary
multi-objective optimisation algorithms
Rhys Stubbs
Project: An Investigation and Study of Neruoevolution In Comparison to Alternative
Hyper-Parameter Optimisation Approaches Within A Browser-Based Environment
Louis Edbrooke
Project: Evaluating the use of machine learning to develop user-centric AI in video
games