Our Students

Meet the ART-AI students and read about their research interests and backgrounds.

ART-AI Cohort 1


2021 Cohort

Dan Beechey

Dan Beechey

Autonomous Development of Action Hierarchies

Tom Cannon

Tom Cannon

Task Agnostic Efficient and Adaptive Edge Devices Using Hierarchical Reinforcement Learning, Task Inference and Transfer Learning

Robert Clarke

Robert Clarke

Shared Control for Brain-Actuated Robotic Arms towards Fusion of Artificial Intelligence and Human Intelligence

James Elson

James Elson

Autonomous Option Discovery in Hierarchical Reinforcement Learning

Harshinee Goordoyal

Harshinee Goordoyal

Machine Learning for Predictions of Haemodynamics in Cardiovascular Devices

Sophia Jones

Sophia Jones

Algorithms for AI Inspired by the Bounded Rationality of Humans

Ferdie Krammer

Ferdie Krammer

Big Data and Machine Learning for Reaction Design

Toby Lewis-Atwell

Toby Lewis-Atwell

A Transparent Machine Learning Approach to Chemical Safety Assessment

Jack McKinlay

Jack McKinlay

Explainable Artificial Intelligence in Bayesian Machine Learning Research and Applications

Ben Rogers

Ben Rogers

Neural Network Optimisation of Auxetics

Tom Ryder

Tom Ryder

EEG Based Brain Signal Processing and Applications using Statistical Machine Learning

George Sandle

George Sandle

Deep Generative Energy-Based Models

Shashank Sharma

Shashank Sharma

Hierarchical Reinforcement Learning For Natural Language

Todd van Steenwyk

Todd van Steenwyk

Measuring Corporate Risk Exposure with Machine Learning

Joshua Tenn

Joshua Tenn

Debiasing AI Advice-Taking in Human-AI Collaborative Decisions

Doug Tilley

Doug Tilley

Smart Cyber-Physical Systems for Multimodal Human-Robot Collaboration

Syeda Gulnoor Zahra

Syeda Gulnoor Zahra

Algorithmic Auditing

Yue Zhang

Yue Zhang

Improve Perceived Trustworthiness and Fairness in Automated Decision-Making: The Role of Mental Models

2020 Cohort

Edward Clark

Edward Clark

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

Thao Do

Thao Do

AI for Identification and Support for Victims of Sexual Exploitation in Southeast Asia

Tom Donnelly

Tom Donnelly

Artificial Intelligence for the Control of Upper Limb Prosthetics

Andy Evans

Andy Evans

AI and its Consequences for the Labour Market

Tory Frame

Tory Frame

Enhancing Adult Sleep with AI

Joe Goodier

Joe Goodier

Interpretable Diagnostic Imaging Using Generative Priors

Finn Hambly

Finn Hambly

Bayesian Modelling of Low-Voltage Networks and Demand-Side Management Schemes

Matt Hewitt

Matt Hewitt

Hierarchical Reinforcement Learning for Transparency in AI

Emma Li

Emma Li

Improved Interpretability Methods Towards More Responsible AI

Pablo Medina

Pablo Medina

Persuasion-Aware Systems for Dialogue-Based Negotiation

Deborah Morgan

Deborah Morgan

Artificial Intelligence Regulation as an Institutional Change-Maker Within the European Union and the United States

Jessica Nicholson

Jessica Nicholson

Robotics Processing Architecture: A Skill Acquisition Approach to Artificial Cognitive Development

Alice Parfett

Alice Parfett

Using History to Predict and Prevent Negative Outcomes of Population-Wide Racial Biometric Classification Systems

Brier Rigby Dames

Brier Rigby Dames

Modelling Brain-Like Intelligence in an Evolutionary Context for AI Applications

Alex Taylor

Alex Taylor

Machine learning in Safety Critical Engineering

Scott Wellington

Scott Wellington

Decoding Imagined Speech from the Brain Signal

2019 Cohort

Oscar Bryan

Oscar Bryan

Machine Learning for the Detection of Unexploded Ordnance Using Synthetic Aperture Sonar

George Fletcher

George Fletcher

Intelligent 3D Character Creation & Animation

Catriona Gray

Catriona Gray

Accounting for Decisions: Tracing the Adoption of AITs by UNHCR

Akshil Patel

Akshil Patel

Improving Control with Intrinsically Motivated Reinforcement Learning

Elena Safrygina

Elena Safrygina

Translating Spatio-Temporal Imaging Data Into Clinical Data Using Machine Learning

Jack E. Saunders

Jack E. Saunders

Reactive Collision Avoidance Using Deep Reinforcement Learning for the Application of UAV Delivery

Jack R. Saunders

Jack R. Saunders

Crossing the Uncanny Valley: Using Deep Learning for Realism in Facial Animation

Mafalda Teixeira Ribeiro

Mafalda Teixeira Ribeiro

AI-Inspired Closed Loop Electrical Neuromodulation in Multiple Domains

Elsa Zhong

Elsa Zhong

How AI May Influence Human Judgement and Decision Making

Damian Ziubroniewicz

Damian Ziubroniewicz

Fair Machine Learning