I am a PhD Researcher within the Centre for Vision, Speech, and Signal Processing (CVSSP) at the University of Surrey, UK. My research focuses on developing novel representation techniques for robotics image geo-localisation - aiming to achieve precise localisation within GNSS-denied environments. I have experience working in fields of defence and engineering - creating various machine learning techniques to solve real-world problems.
Research Interests - Machine Learning Computer Vision Robotics Applications
🧰 Skills
Python PyTorch NumPy SciPy PyG SQL R(ggplot2) C/C++ Machine Learning Numerical Analysis Statistics Git AWS/GCP Linux Bash MATLAB
🎓 Education
👨🔬 Ph.D. Artificial Intelligence, University of Surrey, 2025
👨🎓 M.Sc. Data Science, University of Surrey, 2021
👶 B.Eng. Electronic Engineering, University of York, 2019
📜 Publications
🕺 PEnG: Pose-Enhanced Geo-Localisation
2025 - Under Review
🍝 SpaGBOL: Spatial-Graph-Based Orientated Localisation
2025 - IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
🦜 BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
2024 - International Conference on Intelligent Robots and Systems (IROS)
📡 Constrained Machine Learning for LoRa Gateway Localisation Optimsiation
2022 - Asian Internet Engineering Conference (AINTEC)
🎖️ Grants and Initiatives
💹 G-Research: Quantitative PhD Grant Programme, 2024
🚀 Brave1: Precision Drone Artificial Intelligence Systems Development, 2024
👨💼 InnovateUK: Young Innovators Programme ‑ Commercialisation Grant, 2021
👨💻 Experience
👨🏫 2022-Present: Post Graduate Researcher & Teaching Assistant – University of Surrey
- Duties includes: Teaching engineering labs, Mentoring students with writing/learning skills, grading mathematics coursework.
- Lead F1Tenth team ‑ developing autonomous racing car with fellow PhD students, aiming to compete internationally.
- Supervisors: Dr Simon Hadfield, Dr Oscar Mendez Maldonado, Prof Richard Bowden
👨🔧 2020-2022: Co‑founder & Software/Electronics Engineer – Vysion Technologies Ltd
- Co‑founded AIoT startup, detecting and predicting flow and pressure anomalies, aiming to reduce waste.
👨🔬 2020-2021: Graduate Data Scientist – QinetiQ
- Cooperated within a multi‑disciplinary team to achieve successful project outcomes.
- Developed machine learning solutions for high‑risk object detection in robotics.
- Researched societal trends relating to AI and data provenance, producing governmental reports.
- Supervisors: Stuart Bertram, Mark Round
👨🎨 2020: Technical Writer – Kodime Ltd
- Produced technical user guide for functionality of software platform used by property developers to perform CRM & marketing processes.
- Collaborated with team to improve existing products.
👷♂️ 2018: Engineering Intern – National Physical Laboratory
- Developed C embedded software for high precision optical thermometers with PID controls.
- Contributed to team discussions on projects directions and decision stages.
- Supervisor: Daniel Veal