Machine Learning Models for Pollutant Source Identification

Forensic Science › AI Environmental Forensics Research

Machine Learning Models for Pollutant Source Identification

Interns will develop and train AI algorithms to identify and classify sources of environmental contamination from forensic samples. This includes working with spectroscopic data, chromatography results, and environmental markers to predict pollution origins using supervised and unsupervised learning techniques.

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