I am a Research Fellow at the Centre of Excellence for AI and Robotics (CEAIR), Sheffield Hallam University. My work is primarily focused on the MSCA Horizon 2020-funded project, PERSEO-ESR9, which aims to enhance robot autonomy and cognitive functions through advanced neuromorphic technologies.

My research explores the use of event cameras and neuromorphic computing to estimate cognitive load, thereby improving real-time human-robot interactions. This work extensively involves pioneering applications of event cameras in contexts where minimizing power consumption is essential.

Throughout my PhD, I have developed expertise in working with state-of-the-art neuromorphic hardware such as SpiNNaker, Loihi, BrainScale, and Synsens, implementing practical applications like gesture classification. These projects underscore the potential of neuromorphic technologies in achieving high computational efficiency with low power usage.

Currently, I am leading a cutting-edge project focused on real-time cognitive load estimation using multiple parameters. Simultaneously, I am also working on integrating the ARI Robot with SpiNNaker neuromorphic hardware and event cameras, to push forward the capabilities of autonomous systems in speed and efficiency.

My research propels theoretical advancements in cognitive science and robotics and has significant practical implications for the design of intuitive and sustainable human-robot interfaces.