Connecting cyber, physical and AI systems
CyPhyAI researches and builds digital twins that fuse IoT sensing with AI, mirroring physical environments in real time so they can be modeled, monitored, and acted on. Our systems span agriculture, environment and disaster resilience, healthcare, and cities.
Cyber Physical AI Systems
Each system pairs IoT sensing with AI models to build a live digital twin of a physical environment, so it can be monitored, simulated, and acted on.
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Agriculture
FarmTabAI is a digital twin platform for vertical farms, fusing hydroponic sensor data (pH, EC, temperature, ORP) with an AI copilot and plant-health vision model to monitor, diagnose, and act on crop conditions in real time.
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Environment
Environmental and disaster-resilience systems that fuse sensor networks with AI to monitor conditions like air quality, flooding, and weather risk, forecasting events before they escalate.
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Cities
Urban digital twins that integrate IoT infrastructure sensing with AI to monitor traffic, utilities, and city systems, supporting planning and rapid response.
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Healthcare
Smart wearables, paired with AI that flags early risk and triggers care escalation and remote monitoring workflows.
People
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Yung-Wey Chong
Join us or get in touch
We welcome inquiries from prospective students and collaborators.
Email
chong@usm.my
Office
School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia