Posts by Collection

PhD in Computer Science

PhD in Biomedical Science

PhD in Computer Science

Research Associate in Computer Science

PhD in Computer Science

PhD Candidate in Biotherapeutic Drug Development

PhD in Computer Science

MSc Artificial Intelligence

PhD in Translational Medicine

AI for Risk Assessment in Emergency Department Presentations

Developing AI-powered diagnostic support tools for real-time risk stratification in the emergency department.

EchoForge

An open-source model library for AI-powered echocardiographic image analysis, built to accelerate, standardise, and scale cardiac ultrasound research and pra...

An Efficient Phonation-Driven Control System Using Laryngeal Bioimpedance and Machine Learning

Developing a self-calibrating laryngeal bioimpedance measurement system with AI-driven classification of voice acts.

Inhaled Bispecific Antibody for Severe Asthma

Developing inhalable biotherapeutics to target severe non-T2 asthma and chronic inflammatory airway diseases.

3D Nerve Tissue Implant

A cross-disciplinary effort to engineer 3D printed collagen-based implants for repairing peripheral nerve injuries.

Antibody Mimetics for Ocular Inflammation

Engineering stable, Fc-free bispecific antibody mimetics to modulate inflammatory pathways in the eye.

Ocular Drug Delivery

Cross-disciplinary effort to transform ocular therapeutics through 3D-printed implants enabling long-acting, minimally invasive drug delivery

3D Ocular Micro Implant: AI-Aided Design

AI-driven optimisation of in-situ polymerisable collagen (IPC) scaffolds for retinal tissue engineering and ocular drug delivery.

PulseNote

A comprehensive web-based annotation platform designed for physiological time series signal analysis

Robotic Assist 3D Brain model: AI-Aided Design

A cross-disciplinary effort to develop a robotic-assisted, AI-guided 3D brain model for simulating and optimising therapeutic delivery to neurological tissues

Recombinant-Chemical Platform for Bispecific scFvs

A modular strategy combining recombinant expression and chemical ligation to accelerate bispecific scFv development.

sclerosis

An AI-driven framework for detecting early-stage Multiple Sclerosis using retinal OCT scans, leveraging multiple instance learning, contrastive learning, and...

Predicting Epileptic Seizures With a Stacked Long Short-Term Memory Network

Research project on deep learning for seizure detection using stacked LSTM networks and accelerometer data.

Development of Smart Clothing to Diagnose Cardiovascular Disease

PhD project on developing intelligent clothing with ECG sensors and AI for early diagnosis of cardiovascular disease.

Vertebral Deformity Prediction

AI-driven prediction of progressive vertebral deformity following osteoporotic spine fractures using radiographic and clinical data.

Strabismus

AI-powered tools for predictive modelling and personalised surgical planning in paediatric strabismus correction.

Prognosis Prediction in Traumatic Brain Injury: A Novel AI Framework

PhD project on developing an AI framework for prognosis prediction in traumatic brain injury using CT imaging and clinical data.

UNITY

A collaborative research initiative developing open, AI-powered tools to standardise, accelerate, and democratise echocardiography across clinical and global...

Active Learning for Creating a Biobank of Expert Annotations in Echocardiography

Reducing annotation cost and effort in echocardiography using deep learning and active learning strategies.

Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning

Automated segmentation of the left ventricle in echocardiographic images using CNN architectures including U-Net, SegNet, and FC-DenseNet.

Influence of Loss Function on Left Ventricular Volume and Ejection Fraction Estimation in Deep Neural Networks

Evaluating how different loss functions affect left ventricular segmentation, volume, and ejection fraction estimation using U-Net on echocardiographic data.

Automated Analysis of Mitral Inflow Doppler using Convolutional Neural Networks

Fully automated analysis of mitral valve inflow Doppler using deep learning to standardise clinical workflow and reduce manual variability.

Automated Multibeat Tissue Doppler Echocardiography Analysis Using Deep Neural Networks

A deep learning model for automated multi-beat tissue Doppler echocardiography (TDI) analysis capable of expert-level velocity peak detection and measurement...

Neural Architecture Search of Echocardiography View Classifiers

Automated deep learning framework for identifying echocardiographic views using differentiable neural architecture search (DARTS).

Multibeat Echocardiographic Phase Detection Using Deep Neural Networks

Automated identification of end-systolic and end-diastolic frames in echocardiographic videos using deep neural networks.

Development of Optimisation-Based Approaches for Speckle Tracking

An optimisation-based block matching algorithm for speckle tracking in echocardiography, enabling accurate displacement estimation and strain analysis.

Designing and Evaluating AI-Enhanced Training Curricula for Clinicians in Image Acquisition

Collaborators This project will involve close collaboration with clinical partners to select and develop case studies based on feasibility and clinical rel...