Specifically, his research focuses on elucidating the inner workings of deep neural models applied to multi-modal data, encompassing tabular, image, and textual information. Additionally, he harbors a keen fascination for the integration of explainable models into robotic systems that operate within dynamic environments, necessitating continuous, adaptive learning to accommodate the ever-changing conditions of their surroundings. Before joining Imperial in 2022, Hamed was a PhD student at the University of Groningen, The Netherlands.