about
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.
PROJECTS
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Mouse MApp / School of Natural and Environmental Sciences
2021-2022- Image processing and Image Analysis
- Comparing image classification algorithm based on body condition score
- Integrating the model and weight with web apps for end-user
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Integrated Multi-Modal Tissue State Mapping of Triple Negative Breast Cancer Progression / School of Computing
2022- Understanding the different modalities for cancer imaging (IMC, LA-ICP-MS and Spatial Transcriptomics)
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Auto Generation of Optimal Deep Learning Networks / School of Computing
2021-2022- Creating the framework for Neural Architecture Search pipeline
- Testing the framework with different image dataloader, image transform and creating mock NAS for the testing
- Getting Involved in the CVPR NAS workshop
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TRACK / School of Computing
2020-2021- Data annotation and data analysis
- Developing frameworks for person detection in public transportation images using machine learning
- Investigating solutions for automated social distancing measures
education
PhD Computer Science / Durham University
2016-2021
Developing a real-time BCI application to tackle fundamental constraints in bio-signals decoding.
technical
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Interests
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I enjoy: