Summary
Optical spectroscopy plays a crucial role across various scientific fields, from chemical process analysis to material identification and fluorescence detection. Driven by the demand for portable and field-deployable tools, miniaturizing spectroscopic systems onto chip-scale platforms has become a major research focus. This project leverages cutting-edge machine learning techniques for spectral reconstruction to develop a compact, on-chip spectrometer supporting ultraviolet-visible fluorescence, chemi-/electro-luminescence, and a broad range of optical sensing applications. To overcome the maj
