This project aims to explore novel and advanced photonic sensing techniques using photonic integrated circuit (PIC) technology for biomedical applications and robotics. The advantages of PIC-based sensors include high sensitivity, compact size, ease of multiplexing, and potential low cost. Specifically, we will focus on non-contact photoacoustic imaging using on-chip laser Doppler vibrometers and vibration sensing for the accurate control of medical tools. Additionally, we plan to investigate the multiplexing of different photonic sensors on the PIC platform, along with the development of corresponding sensing algorithms assisted by deep learning.

The project will support research in PIC design and fabrication, component testing and measurement, signal processing, and the necessary manpower to achieve these goals.