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Low-Power Artificial Intelligence for Practical Marine Robotics

Investigating Agent’s Incentives in Applications of AI and Machine Learning

Advancing robotic assisted gait therapy and rehabilitation with AI-enabled neurotechnology

Advancing Robotic Assisted Gait Therapy and Rehabilitation with Soft Robotics: Designing a Non-Bulky Lower Limb Exoskeleton for Stroke Rehabilitation

Machine Learning for Extreme Weather Variability

Detecting affective states and brain interfacing in the real world and in multitasking scenarios: a neurotechnological approach

Hierarchical and Intrinsically Motivated Reinforcement Learning

Machine Learning for Sensing and Control of Dynamic Stall in Realistic Conditions

Unifying Graph and Information Theory Subgoal Discovery Methods in Reinforcement Learning

AI-based Mobility Monitoring of Axial Spondyloarthritis (AxSpA) Patients Using Wearable Sensors

AI for Next-generation Neurotechnology

Causal representations in Reinforcement Learning

Investigating RLHF as an alignment technique

Enhancing ultrasound images with physics-informed neural networks

Machine Learning Transition State Geometries

Accountable and responsible logistics optimisation via distributed AI

Explainable Natural Language Processing for the Analysis of Online Discourse

Studies of oxygen transport & human oxygenases via computer simulation and machine learning

Rendering AI more transparent and explainable: which explanations do humans prefer?

AI & Decision Making within Healthcare

Empathetic, Interpretable, and Explainable AI

Physics Based Learning for Weather Predictions

Towards Transparent and User-Centric Models for Readability Assessment

Reinforcement Learning Interpretability

Understanding Transfer Learning through the Calculation of Chemical Reaction Barriers

Bioinspired Robotic Cognitive Architecture for Understanding Human Actions

AI, Decision-Making, Emotion, VR: Maximising results and effectivity in human-AI coordination and cooperation

Explaining Decision Making in Reinforcement Learning

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

Towards Intuitive Embodied BCI Robotic Manipulators Using Dynamic Visual and Kinaesthetic Imagery

Autonomous Option Discovery in Hierarchical Reinforcement Learning

Machine Learning for Predictions of Haemodynamics in Cardiovascular Devices

Reinforcement learning with graph based methods

Big Data and Machine Learning for Reaction Design

A Transparent Machine Learning Approach to Chemical Safety Assessment

Value Alignment for Opaque Agents Using Preference Estimation Models

Neural Network Optimisation of Auxetics

EEG Based Brain Signal Processing and Applications using Statistical Machine Learning

Hierarchical Reinforcement Learning For Natural Language

Deep Reinforcement Learning for Asset Pricing: A Value Investing Approach

Debiasing AI Advice-Taking in Human-AI Collaborative Decisions

Smart Cyber-Physical Systems for Multimodal Human-Robot Collaboration

Algorithmic Auditing

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

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

Artificial Intelligence for the Control of Upper Limb Prosthetics

Artificial Intelligence technologies and implications for the workforce

Improving healthy adult sleep with AI

Applying generative out-of-distribution detection using generative models as an ethically-aligned screening tool in malaria microscopy

Hierarchical Reinforcement Learning for Transparency in AI

Improved Interpretability Methods Towards More Responsible AI

The role of anticipatory regulatory instruments within the regulation of AI systems. A comparative study of regulatory sandbox schemes.

Representation Learning of Novel Goals for Intrinsic Motivation

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

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

Machine learning in Safety Critical Engineering

Decoding imagined, auditory and vocalised speech from invasive and non-invasive brain signals

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

Intelligent 3D Character Creation & Animation

Knowledge, value and risk in AI governance

Improving Control with Intrinsically Motivated Reinforcement Learning

ML and optimisation techniques for closed-loop neuromodulation of multiple nerve models

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

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

Style in speech-driven facial animation

Understanding Social Influence on Decision-Making in Human-AI Teams

Fair Machine Learning