AI-enabled safety and ergonomics analytics, Immersive workforce training systems, and digital-twin-supported safety analytics using wearable sensors and AI to detect, manage, and improve unsafe work behaviors in high-risk industrial environments.
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7 months ago
Industry partners interested in sponsored research, pilot deployment, and collaborative development of AI-enabled safety analytics, wearable sensing systems, and immersive workforce training technologies.
About
Dr. JuHyeong Ryu is an Assistant Professor in Industrial Engineering at WVU specializing in human-centered intelligent occupational safety systems. His research integrates immersive technologies, wearable sensors, AI, and biomechanics to improve workforce training, safety, and health. His work translates advanced sensing and analytics into practical solutions for high-risk industries (e.g., construction, manufacturing, and transportation). Current projects include immersive workforce training platforms, AI-enabled safety and ergonomic risk assessment, and digital-twin-supported safety analytics. He collaborates with industry and government partners to develop scalable safety technologies that reduce injuries, improve training effectiveness, and support data-driven safety management.
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This innovator has not added partnering listings yet. For now, explore their publications, funding, and other profile details to identify promising topics to connect on.
Consumer at-home diagnosticsDigital health applicationsFitness and performance monitoringInternet of things (IoT) applicationsPreventive health monitoringStress management systems
Expertise
BiomechanicsPublic HealthTranslational ScienceTransportation Research
Last updated Mar 2026
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