| Raman analysis + ML-enabled analyte detection |
| NYCU |
| rini |
| stefano |
| professor |
| rini.stefano@gmail.com |
| ECE |
| Taiwan |
| +886 0905672515 |
| od start-ups (such as Impossible Foods) in the US use Raman spectroscopy in their processes and we were curious if FIRDI has something similar. Here is the link to our lab if you are curious about anything we do 🙂 |
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| Raman signal, SERS, pesticide, pollutant, analyte detection, Ph measuraments, machine learning, deep neural network |
| My lab has focused on the problem of pesticide detection from SERS measurement and Ph estimation from Raman spectrum in a flow cytometry system.
We have partnered with an applied chemistry lab and physics labs to perform our measurements and have handled the data management and data analysis.
We have a cross-disciplinary preparation, that ranges from the preparation of silver colloid solution to the training of neural attention gates.
We have developed various machine learning and deep learning to the data analysis of Raman and SERS spectra.
We are interested in expanding both our data collection and data analysis capabilities through this project.
We hope to be able to provide novel optical analysis techniques, coupled with machine learning and deep learning-enabled measurement analysis for the detection of pollutants in the water supply |
| We would like to join a project where optical analysis of water is necessary to provide a fast and cheap way to acquire measurements to monitor water quality and safety. |
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