AIoT

Our AIoT (Artificial Intelligence of Things) research focuses on bringing intelligence closer to the body and environment through TinyML-enabled wearables and edge computing. We design energy-efficient, privacy-preserving, and adaptive sensing networks that can analyze biosignals and behaviors in real time—without relying solely on the cloud.

Key directions include:

• TinyML for physiological monitoring — on-device models for ECG, respiration, motion, and stress detection.

• Edge-cloud hybrid architectures — integrating local analytics with cloud-based LLM reasoning for continuous care.

• Adaptive routing and sensor collaboration — intelligent data pathways that reduce latency, conserve energy, and prioritize urgent medical events.

Our goal is to create autonomous, always-on healthcare ecosystems—smart environments that sense, learn, and respond instantly to individual health changes while safeguarding data privacy.