Chenxu Li

Chenxu Li is an active researcher in Biomedical Engineering, focusing on biomedical imaging and blood flow monitoring technologies. Their work integrates machine learning with optical sensing systems using SPAD cameras for improved temporal resolution in deep tissue analysis.

Research output highlights include:

• Development of a fiber-based ultra-high speed diffuse speckle contrast analysis system for deep blood flow sensing (2025)
• Implementation of deep learning in two-layer DCS analytical models with SPAD arrays for cerebral blood flow monitoring (2025)

Contributions align with UN Sustainable Development Goals related to health and technological innovation. Collaborations include Li, D. and Wu, J. on machine learning approaches for biomedical imaging.