My research project focuses on pioneering AI approaches to address challenges in translating electrophysiological signals into control signals for brain-computer interface (BCI)-based neurotechnology. The goal is to scale these developments through end-user trials involving both healthy and patient populations.
The research involves developing state-of-the-art AI technologies such as deep learning, attention mechanisms, transformer-based algorithms, reinforcement learning, and multi-objective coevolutionary optimization. It also focuses on addressing major challenges in wearable neurotechnology by prototyping robust, real-time AI solutions. In addition, I will plan and execute human participant experiments, manage data collection and analysis, and contribute to software development for BCI systems.
Brain-Computer Interfaces, Reinforcement Learning, Embodied AI, Robotics
BSc Computer Science, Durham University
MSc Computing (Artificial Intelligence and Machine Learning), Imperial College London
Prof Damien Coyle
Prof Özgür Şimşek
Dr Ben Metcalfe
Dr Leen Jabban
