Debanjan Datta

Debanjan Datta is a Ph.D. student in the Department of Computer Science.  He is advised by Naren Ramakrishnan.

Datta’s research area is data mining and machine learning. His areas of interest are algorithms on text and numerical data. His current focus is using machine learning to detect patterns of suspicious timber records that relate to possible illegal trade.

Ph.D Student
Research Areas:
  • iconNetwork Science
  • iconVisual Analytics
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