Computational Sensing of Invisible Environmental Dynamics with Off-the-Shelf Sensors

We develop sensing systems that reveal environmental phenomena that are difficult for people and sensors to directly perceive in everyday settings.

• Repurposing commodity sensors to capture subtle airflow, temperature-field, and soil-state changes.
• Turning low-cost platforms into deployable tools for environmental understanding in real-world scenarios.

Health Sensing using Wearable Consumer Electronics

We build practical health sensing systems on consumer wearables and mobile devices for robust monitoring in everyday environments.

• Repurposing earbuds, phones, and lightweight wearable platforms for continuous physiological and behavioral sensing.
• Designing sensing pipelines that remain robust under motion, sparse sensing, and real-world deployment constraints.

Fine-grained Human Activity Sensing and Reasoning in Ambient Environments

We study how ambient and wearable sensing systems can capture fine-grained human activities and support higher-level reasoning about daily behaviors in real-world environments.

• Combining multi-modal sensing for detailed activity understanding across body movement, context, and daily-life interactions.
• Building sensing pipelines that support both precise recognition and richer behavioral reasoning.

Tactile Sensing and Actuation for Robotics (In submission)

AI-Assisted Mobile System Optimization

We study how AI can help mobile and sensing systems make better decisions about communication, adaptation, and resource management under real-world constraints.

• Using foundation and generative models to improve system efficiency, communication, and deployment practicality.
• Designing adaptive mobile systems under limited bandwidth, compute, and storage budgets.

AI-Native Secure and Privacy-Preserving Sensing

We develop both attacks and defenses to better understand the trust, privacy, and security boundaries of sensing systems.

• Studying how sensing modalities can leak private information or be manipulated by adversaries.
• Designing practical defenses for mobile, acoustic, RF, and AI-driven sensing platforms.

Sensing-Assisted Native AI Mobile System (In submission)

This direction explores mobile systems that use sensing to support more adaptive and context-aware native AI capabilities on personal devices.

AI-Assisted Mobile Sensing System (Ongoing)

Wearable Agentic AI Memory System (Ongoing)

This project studies wearable AI systems that can capture, organize, and retrieve important personal experiences to support human memory in everyday life.