MR STEVEN WALLACE

Biography

I am a PhD candidate researching deep learning foundation and diffusion models to analyse climate change. My research focuses on image segmentation with remote sensing and multi-modal data. During my research, I have used the Earth's observation satellite imagery and Uncrewed Aerial Vehicle (UAV) drone images to map crevasses on continental glaciers in the Arctic.

I completed my undergraduate degree, an MEng in Electronic and Electrical Engineering, at the Robert Gordon University in 2022. During my MEng individual project, I developed a smart IoT camera system on embedded hardware that alerts users of intruder motion in darkness. In 2023, I completed an MSc in Artificial intelligence as a postgraduate degree at the University of Aberdeen. My MSc project was titled Histogram-Based Gradient Boosting for Underwater Image Quality Assessment. The project used an ensemble of pre-trained deep learning models where the histogram-based gradient boosting algorithm predicted an overall image quality value with decision-level feature fusion.

In my free time, I engage with the local community to help raise awareness of computer vision and AI systems. In July 2023, I prepared and presented a thirty-minute lecture on the deep learning framework PyTorch, followed by leading a ninety-minute workshop that included coding challenges. In October 2023, I presented my MSc Project in Artificial Intelligence to the public at the One Tech Hub in Aberdeen.

Before university, I worked in the industry for 12 years as an electrical technician, control system engineer, and energy conservation consultant.