Once again, I developed the Data Acquisition and Communications System for the Formula Student team this year - with the goal of compacting and minimizing the system and improving reliability and performance. The repositories for this project can be found here and here.
Projects
Here are some of the projects I have worked on:
Sequence-Based Machine Learning and Synthetic Data Generation for Real-Time Vehicular Traction Loss Detection
My undergraduate dissertation research project, scoring 73. I propose here a pipeline for generating a synthetic dataset for training machine learning models, using the example of creating a model capable of recognising events of traction loss and demonstrating such a model’s viability. The repository for this project can be found here.
FS25 Data Acquisition and Communications System
For this year’s Formula Student entry for my university, I designed and developed both the hardware and software for an onboard computing system. The repository for this project can be found here.