Research Vision

My research vision is to bridge innovative integrated circuits and resource-efficient AI for future intelligent systems. This vision brings together expertise across analog and mixed-signal integrated circuits, RFICs, electromagnetic sensing, machine learning, efficient AI algorithms and hardware, and low-power computing. Having more dots to connect creates unique opportunities to develop innovative solutions at the intersection of these disciplines. This interdisciplinary approach enables innovations in emerging applications including 6G wireless networks, edge intelligence, physical AI, and wearable biomedical devices.

Research Directions

• Analog, Mixed-Signal, and RF Integrated Circuits and Systems

• Integrated Circuits for Wireless Connectivity, Sensing, and Computing

• Resource-Efficient AI Computing

• AI-Assisted Biomedical Sensing and Computing