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About

J. S. Harris is a researcher whose work spans two distinct but complementary domains: neurorobotics and human-robot interaction, and robotics education. In the early phase of their career, Harris made notable contributions to neuromorphic and cognitive robotics, exploring how biological principles — including oxytocin-mediated trust mechanisms — could be integrated into robotic systems. Landmark works such as "Remote-neocortex control of robotic search and threat identification" (2004) and "Real-time human–robot interaction underlying neurorobotic trust and intent recognition" (2012) demonstrated Harris's commitment to bridging neuroscience and autonomous systems, collectively garnering nearly 30 citations across related publications. In more recent years, Harris has pivoted toward a pressing challenge in engineering education: making robotics instruction accessible and scalable. Through the development of the FORE framework and a student-centered personalized learning system, Harris addresses critical gaps including the shortage of qualified robotics instructors and costly training infrastructure — particularly at community colleges. These contributions, recognized with citations in leading engineering education venues, reflect a genuine concern for equity and access in STEM. Harris's trajectory — from modeling the neuroscience of trust to democratizing robotics learning — reveals a researcher driven by both scientific curiosity and meaningful societal impact.