Projects spanning deep learning, computer vision, reinforcement learning, and robotics. The first three have dedicated detail pages with full methodology, figures, and results.
MSc Dissertation · MDPI AI 2026 · Apr – Sep 2025
Five deep learning architectures evaluated on a custom synthetic dataset (MiniMarket77) of 12,000 cluttered scenes for real-time robotic pick-and-place. Best model (PointWeb) achieved 0.986 mIoU; compression study reduced latency to 1.77 s with INT8 quantisation.
MSc Project · Oxford-IIIT Pet Dataset · Jan – Mar 2025
Interactive semantic segmentation application using SAM2 with point and bounding box prompts. Achieved 89% pixel accuracy and 0.917 Dice coefficient on Oxford-IIIT Pet, a 63% IoU improvement over the baseline UNet.
Thesis Project · MDPI Robotics 2023 · Aug 2022 – Jul 2023
Smooth, precise pneumatic actuation system for delicate robotic gripping using a cascade PID + Unknown Input Observer controller. Full mathematical modelling, multi-domain simulation, physical fabrication, and experimental validation.
MSc Project · University of Edinburgh · Jan – Mar 2025
Progressive RL pipeline from Value/Policy Iteration to DDPG with Prioritised Experience Replay, adaptive noise, and orthogonal initialisation. Best configuration from a 60+ model sweep achieved a mean return of 374.86 on Racetrack-v0.
MSc Project · ResNet-18 · Jan – Mar 2025
Cross-age dataset combining Tromsø Infant Database with AffectNet (26,000+ images across 5 developmental stages). Two ResNet-18 models demonstrated a nonlinear developmental trajectory — adult-like expressions emerge in late childhood.