Apr 15, 2021

Open Source Raman and IR Spectroscopy, Paving the Future for Spectral Analysis using Artificial Intelligence

Speaker
  • NSF graduate research fellow at the University of California Riverside
    Biography

      Win is a Ph.D. candidate and NSF graduate research fellow at the University of California Riverside. He studies the sources, transport, and fate of plastic pollution in the environment. His science focuses on identifying solutions to plastic pollution and assessing their effectiveness. As an applied scientist, Win works with nonprofit groups like Let's Do It World and 5 Gyres, Government agencies like SCCWRP and the Ocean Protection Council, and academics to implement science in practice.


    Abstract

    Accuracy and utility of spectral analysis has plateaued, but techniques are still are not good enough for many environmental forensics applications (such as microplastic analysis). The primary limitations are a lack of reference data on material types in the environment and the complexity of correctly analyzing spectra. We propose an open source software, reference library, and spectroscopy community to address these problems by leveraging Semi-Supervised Artificial Intelligence Techniques on shared reference data.


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