-
In-silico Framework for the Design, Characterisation and Topology Optimisation of Electroactive Polymers for Soft Robotics
Project Overview This PhD project focuses on the development of advanced Machine Learning (ML) techniques to generate accurate and efficient constitutive models for complex smart materials – particularly Electroactive Polymers (EAPs). Traditional modelling approaches for such materials often rely on computationally intensive homogenisation schemes within Finite Element Methods (FEM), which can limit their practicality for…
-
Developing low-cost multiplexed elElectroChemicaL biosEnsors for seNsitive in-situ deTection of water contaminants (EXCELLENT)
Project Overview My project aims to develop an ultrafast biosensor platform for in-situ detection ofmultiple contaminants (e.g., MIB, geosmin, PFAS, ammonia, nitrate, phosphate) in water byincorporating pattern recognition algorithms. For water utility companies, typicalanalyses of these contaminants require the transportation of water samples to a lab and isalso expensive and labour intensive. Quick turnaround time…
-
Mathematical Modelling of Cancer – Adipocyte Interactions in Ovarian Cancer Modelling and Optimising Multi-Modal Customer Journeys in Commercial Banking: A Human-Centred Approach to Behavioural Analytics and Outcome Prediction Across Digital, Physical, and Telephony Channels
Project Overview This research investigates the use of Human-Centred AI to model and optimise customer journeys in UK commercial banking. The project focuses on multi-modal customer interactions across digital, physical, and telephony channels, such as mobile apps, online platforms, branch visits, and call centre experiences. Using topic modelling techniques on unstructured customer feedback (including surveys,…
-
Advancing AI-Driven Techniques for Complex Problem Solving: A Focus on Distributed Constraint Satisfaction Problems
Project Overview This research explores the development and application of AI-driven intelligent systems to enhance problem-solving efficiency and effectiveness in complex problem domains.The study focuses on designing novel frameworks and algorithms that leverage multi-agent systems, and intelligent agents to address large-scale and computationally challenging problems. One key area of interest is Distributed Constraint Satisfaction Problems…
-
Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning
Project Overview Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide,responsible for approximately 17.9 to 20.5 million deaths annually. Whilst the global burden of CVD keeps increasing, recent efforts to accelerate the development of innovative therapeutic strategies for managing CVD have persistently failed to deliver new drugs to the market. These challenges…
-
Smart digital representation and reconstruction in material science with AI and computer vision
Project Overview This project aims to integrate computer vision and artificial intelligence into materials science, utilizing deep learning and other AI methodologies to enable efficient and cost-effective digital characterization and reconstruction of heterogeneous materials. By advancing the application of emerging AI technologies, this research seeks to accelerate the development of materials informatics and enhance digital…
