Nik joined the team from Durham University where she was a PhD student focusing upon a multidisciplinary study combining the fields of Machine Learning (ML) and Brain-Computer Interfaces (BCI), covering areas including signal recognition, object detection and adversarial learning. Prior to that, Nik worked in the aviation and home-automation industries, as well as getting a Masters from South Korea.
TRACK / School of Computing2021-2021
- Data annotation and data analysis
- Developing frameworks for person detection in public transportation images using machine learning
- Investigating solutions for automated social distancing measures
PhD Computer Science / Durham University
Developing a real-time BCI application to tackle fundamental constraints in bio-signals decoding.
- Unix Shell
- GitHub Workflows
- Data Analysis
- Signal Processing
- Machine Learning
- Data Generation
- Brain Computer Interface
- GPU Computing
- Video games/board games