Research
The EAI Lab (Edge AI & Sensing Systems Lab) conducts research on energy-efficient sensing and intelligence for embedded systems operating at the edge of the physical world. Our mission is to enable Physical AI by designing battery-operated, real-time intelligent systems that tightly integrate sensing, computation, communication, and interaction with the environment.
The lab focuses on advancing Physical AI systems where intelligence is not cloud-centric, but embedded in physical devices such as wearables, mobile platforms, and autonomous systems.
This requires jointly optimizing sensing, perception, learning, and actuation under strict constraints in energy, latency, and reliability.
Research Focus
Research in the EAI Lab addresses both:
- Intelligence, by exploiting novel sensors, multi-modal sensor fusion, and Edge AI methods, and
- Efficiency, through hardware–software co-design, energy-aware architectures, and real-time system optimization.
By combining these dimensions, the lab develops Physical AI systems capable of long-term autonomous operation, including self-powered or battery-operated devices, suitable for deployment in real-world environments.
The group works on systems, architectures, tools, and methodologies for intelligent wireless embedded systems, with a strong emphasis on experimental validation and field deployment.
This system-level approach naturally enables interdisciplinary collaboration, where Physical AI and energy-efficient embedded intelligence are key enablers.
Research Areas
- Physical AI at the Edge
Embedded intelligence tightly coupled with sensing and interaction in the physical world. - Edge AI for Smart Sensing Systems
Multi-modal sensing, perception, and sensor fusion on resource-constrained platforms. - Battery-Operated & Wearable Systems
Long-term, untethered operation through ultra-low-power sensing and Edge Intelligence. - Biomedical & Health Monitoring Systems
Wearable and non-contact Physical AI systems for health and well-being. - Autonomous & Cyber-Physical Systems
Intelligent sensing and perception for robots, drones, and autonomous vehicles. - Wireless Embedded & Distributed Systems
Energy-efficient communication, localization, and cooperative Physical AI systems.
