Debanjan Datta
Debanjan Datta was a Ph.D. student in the Department of Computer Science. He was advised by Naren Ramakrishnan.
Datta's research area was data mining and machine learning. His areas of interest are algorithms on text and numerical data. He focused on using machine learning to detect patterns of suspicious timber records that relate to possible illegal trade.
Publications
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General Item
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General ItemFraming Algorithmic Recourse for Anomaly Detection Date: Aug 13, 2022 -
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General ItemScrutinizing Shipment Records To Thwart Illegal Timber Trade Date: Jul 30, 2022 -
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Projects
In the News
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Congratulations to Sanghani Center Spring 2022 Graduates! , article Date: May 13, 2022 - -
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Data scientists combat hate crimes and other violence , article Date: Apr 19, 2021 -
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