معرفی
Xingda Li is a Doctor of Philosophy specializing in Biomedical Engineering, currently serving as a Principal Investigator for the project "Embedded AI for time-resolved imaging and spectroscopy" (2023-2026). His research focuses on integrating deep learning methodologies with hardware acceleration for biomedical signal processing and optical imaging technologies.
- Research Highlights: Development of robust deep learning architectures for diffuse correlation spectroscopy
- Exploration of spiking neural networks for hand gesture recognition using photonic sensors
The two most recent publications demonstrate expertise in embedded AI systems, neural network optimization, and biomedical photonics applications. His work intersects machine learning with hardware implementation for real-time medical diagnostics.
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