Nitesh Chawla
Nitesh Chawla studies machine learning, including methods for classification when some categories have few examples. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer co-authored SMOTE: Synthetic Minority Over-sampling Technique. The paper appeared in JAIR in 2002 and proposed creating synthetic examples for underrepresented classes. Chawla received a computer science and engineering doctorate from South Florida in 2002. He also earned a master’s degree in 2000 and completed earlier undergraduate training.
- Now at
- University of Notre Dame
- Works
- 598
- Citations
- 63,861
- h-index
- 73
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2002
SMOTE research
Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer co-authored SMOTE: Synthetic Minority Over-sampling Technique. The paper appeared in JAIR in 2002 and proposed creating synthetic examples for underrepresented classes.
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2002
Computer science doctorate
Chawla received a computer science and engineering doctorate from South Florida in 2002. He also earned a master’s degree in 2000 and completed earlier undergraduate training.
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2020
Data and society institution
Notre Dame announced Chawla’s appointment as founding director of the Lucy Family Institute for Data and Society in June 2020. The institute supports interdisciplinary data science research.
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2024
Research recognition
AAAI elected Nitesh Chawla as a Fellow in 2024.
Sources and credits
Photo: engineering.nd.edu; creator not stated. License: Not stated by source. Source: engineering.nd.edu. Cropped to a square and resized. Ask us to remove or replace this photo.