PhD Student, Senior Resident & Student Ambassador at the University of Bristol

News

2024-02-15

Published Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning on Arxiv!

2024-02-15

Published Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting on Arxiv!

2024-02-15

Presented a talk on 'Optimizing Data Efficiency: Using Active Learning Strategies and the QUEST Method for Efficient Classification and Labeling in Large Datasets' at the Galaxies & AGN with the First Euclid Data and Beyond in Bologna.

2023-03-28

Presented a pecha-kucha talk on my PhD research at the Interactive AI CDT Spring Research Conference.

2022-12-06

I recently finished my 6 month placement as an AI Research Engineer at Imagination Technologies where I was working on Sparsity, Lidar data and CUDA implementations of custom DL layers. A patent for my work has been submitted and is awaiting approval.

2022-04-27

Presented a talk on 'Using active learning to create reliable and robust classifiers for Euclid' at the 2022 Annual Euclid Consortium Meeting in Oslo.

2022-03-30

Presented a pecha-kucha talk on my PhD research at the Interactive AI CDT Research Showcase.

2022-02-23

From June, I will be starting a 6 month placement as an AI Research Engineer at Imagination Technologies!

2021-12-16

Presented a talk on 'Using active learning to create reliable and robust classifiers for Euclid' at the 2021 Euclid Consortium UK Meeting.

2021-10-18

Presented research poster of AstronomicAL at the 2021 IAP Colloquium which was dedicated to critical analysis of Machine Learning methods in Astronomy.

2021-09-03

Published AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning in the Journal for Open Source Software!

Rave Cave

Published:

This project was created as a coursework submission for our 3rd Year Group Project.

Key Features:

  • Creation of custom game engine tailored for our project, built by integration of our own custom code and the external libraries SFML1, Irrlicht2, GLM3 and Anax4.
  • Rendering using the irrlicht engine.
  • As of the printing of this report, we had the grand total of:
    • 13,000+ final lines of code,
    • 1,350+ git commits,
    • 3000+ source files changed throughout the project,
    • 41,000+ git additions,
    • 24,500+ git deletions.
  • Automated Continuous Integration testing using Travis CI.
  • Extremely modular and flexible core game framework using the ​Anax “entity component system” library.
  • Cross platform support using the CMake build system
  • Creation of a separate client and server, with common code in a shared library that is linked at compile time.
  • Low latency networking for synchronizing game state between the server and all connected clients, created with a packet based interface provided by SFML.
  • Tight synchronisation of music with client and server game clocks, over a variable latency network using NTP.

This project won the Graphcore prize for best 3rd year games project.

  1. https://www.sfml-dev.org/ ↩

  2. https://irrlicht.sourceforge.io/ ↩

  3. https://github.com/g-truc/glm ↩

  4. https://github.com/miguelmartin75/anax ↩