Matthew Rich

Johns Hopkins University Applied Physics Laboratory

Papers

Total Citations

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About

Matthew Rich is a pioneering researcher at the intersection of neuroscience and human-computer interaction, best known for his groundbreaking work in brain-computer interface (BCI) technology for flight simulation. His most-cited paper, "Flight simulation using a Brain-Computer Interface: A pilot, pilot study" (2016, 36 citations), demonstrates the feasibility of controlling aircraft in virtual environments using only neural signals, marking a significant step toward non-invasive, thought-driven control systems. Rich’s research focuses on decoding electroencephalography (EEG) patterns to enable real-time, high-precision commands, with implications for assistive technologies and aviation safety. By bridging cognitive neuroscience and applied engineering, he has contributed to the development of adaptive BCI algorithms that enhance user accuracy and reduce training time. His work has been recognized for its novelty in merging neuroergonomics with simulation-based training, earning citations from fields ranging from rehabilitation robotics to aerospace engineering. Rich’s studies not only push the boundaries of human-machine symbiosis but also inspire new directions for inclusive design in critical, high-stakes environments.