PhD Success for ART-AI students!

We are delighted to celebrate the achievements of our ART-AI students who have recently been awarded their PhDs.

Marina De Vos, Director of Training for ART-AI. said: “Congratulations to everyone who successfully passed their viva examinations, as well as to their supervisory teams, on this fantastic accomplishment. These awards reflect the hard work, dedication, and innovation of our students throughout their doctoral journey.” Congratulations go to:

Cohort 1

Jack E. Saunders: Reactive Collision Avoidance Using Deep Reinforcement Learning for the Application of UAV Delivery

Catriona Gray: Knowledge, value and risk in AI governance

Elena Safrygina: Translating Spatio-Temporal Imaging Data Into Clinical Data Using Machine Learning

Cohort 2

Edward Clark Artificial Intelligence Tactical Decision Aid for Management of Naval Sensors and Autonomous Vehicles

Tom Donnelly Artificial Intelligence for the Control of Upper Limb Prosthetics

Brier Rigby Dames Discovering Transcriptional Signatures of Brain Ageing and Neurodegenerative Diseases Using Machine Learning

Alex Taylor Machine learning in Safety Critical Engineering

Cohort 3

Dan Beechey Explaining Decision Making in Reinforcement Learning

Jack McKinlay CAVA for Value Alignment: A Neuro-Symbolic Framework from Text to Decisions

Ben Rogers Neural Network Optimisation of Auxetics

Joshua Tenn Debiasing AI Advice-Taking in Human-AI Collaborative Decisions

They are joining our alumni:

Cohort 1: Mafalda Ribeiro, Jack R Saunders, Oscar Bryford , Damian Ziubroniewicz, Huixin (Elsa) Zhong 

Cohort 2: Andy Evans, Tory Frame, Joe Goodier