Research Topic: Using Deep Learning and Computer Vision Technologies to Detect and Analyse Defects on the Wind Turbine Blade Surfaces

Studentship: Railston & Co  Ltd + Loughborough University

PhD Thesis

1^st Year Contribution:

1. Image Enhanced Mask R-CNN: a proposed pipeline to detect the WTB defects and classify the defect types

2. Proposed new evaluation metrics for defect detection

3. Compared defect detection performance between our proposed pipeline and current state-of-the-art algorithms (YOLOv3, YOLOv4 and Mask R-CNN)

Published on MDPI J. Imaging

2^nd Year Contribution:

1. Defect Characteristics: a new set of features for describing the WTB defects in common vision-based knowledge

2. AI Reasoning: a proposed Decision Tree-based framework to reason and explain the outputs of the AI models (generic to any AI models) by using Defect Characteristics

Published on SSCI2023

3. Forest Monkey Toolkit: a Python package to provide functionalities, including Defect Characteristics extraction, AI reasoning capability, AI model improvement suggestions, etc. Also, the research successfully applied the toolkit to other datasets with different types of defects

Published on SSCI2023

3^rd Year Contribution:

1. Proposed an image retrieval framework, utilising the Defect Characteristics as features, to retrieve defects/irregular patterns from images by computing their similarities. 

2. Developed a web-based toolkit for industry uses based on the Flask framework

3. Integrated all PhD research outcomes into the toolkit

4. Designed an AI model training and testing management system to maintain the operation efficiency

Published on MDPI J. Imaging

Courses:

Natural Language Processing

Data Mining

Data Analysis

Game Theory

Agent-Based System 

Advanced Computer Security

Dissertation: 

Title: Extension of Sherlock Source-code Plagiarism Detection Software - Internet Resource Detection Algorithm

Summary:

1.  Designed & Developed a similarity measure method to compare the source codes with the internet resources (e.g. Google, Overflow, Github, etc.) by using Data Mining and NLP techniques

2.  Integrated our method into the Sherlock source-code plagiarism detection software

Courses (Partial):

Machine Learning

Robot Programming

Software Engineering

Database

Data Structures & Algorithms

Human-Computer Interaction

2^nd Year Team Project:

Title: Carnage - Mini Game Project - 1 vs 1 bomb pick and throw game

Summary:

1. Designed & Developed a strategy to let a robot player (with different difficulty levels) which can play against a real player by building route-planning methods (i.e. A* Search) and decision-making methods (policy-based)

2. Communicated and cooperated with teammates in the project designs, discussions and integrations

Final Year Project:

Title: Mixed Reality with Hololens - a Computer Vision Project

Summary:

1. Developed a physical environment simulation in the Hololens by using a physics engine (Unity) to simulate an object's physical actions and behaviours

2. Evaluated the physical actions and behaviours similarity between the virtual and real objects

Courses:

Mathematics

Further Mathematics

Physics

Information Communication & Technology (AS only)

Pre-A Level Courses: Mathematics, Physics, Chemistry and IELTS