Ahmed Roshdy

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About

Ahmed Roshdy is a pioneering researcher at the intersection of neurorobotics and affective computing, dedicated to bridging the gap between human emotion and machine intelligence. His primary research areas include brain-computer interfaces (BCI), emotion digitization, and the development of empathic robotic systems. Roshdy’s major contributions lie in his innovative work on mapping human brain signals to enable machines to recognize and replicate emotional states. In his highly cited 2019 paper, "Towards Human Brain Image Mapping for Emotion Digitization in Robotics" (12 citations), he surveyed advances in neurorobotics and constructed a proof-of-concept experiment linking brain mapping to robotic control. He further advanced the field with his 2021 work, "Machine Empathy: Digitizing Human Emotions" (10 citations), where he used an Emotiv Epoc headset to capture EEG signals, successfully demonstrating a two-dimensional emotion digitization framework. These studies have laid foundational groundwork for creating robots capable of genuine emotional interaction, positioning Roshdy as a key innovator in the quest to build truly empathic machines.