#data analysis

Generalisation of the radiotherapy atlas contouring (TRAC) tool

This project will develop AI tools to both define and check medical image segmentations in radiotherapy clinical trials and clinical practice. The expected outcome is to develop quality assurance tools from artificial intelligence techniques and data from multiple medical imaging modalities. This project will have potential to improve patient outcomes and ensure effective implementation of advanced radiotherapy technologies and clinical trials.

Dark web analytics for ransomware threat actor profiling

This project investigates active ransomware groups and attempts to identify their key characteristics, attack signatures, victims, and stolen data. The expected outcome is development of a dataset to serve as an essential resource. The project will potentially provide more knowledge on ransomware groups, their tactics, techniques, and procedures for launching attacks.

Real-time quality assurance and machine validation for ultra precision manufacturing

This project is developing a real-time quality assurance system to detect precision assembly errors and validate CNC machine performance using quantitative data. The expected outcome is an intelligent, data-driven quality control method that improves the accuracy and reliability of ultra-precision manufacturing. This technology will potentially result in improved product traceability, reduced defects, and increased compliance with medical and military standard for the advanced manufacturing industry.