Nitesh Chawla

Nitesh Chawla is passionate about AI & data science for the common good. His research is making fundamental advances in artificial intelligence, data science, and network science, and is motivated by the question of how technology can advance the common good through interdisciplinary research. His research is not only at the frontier of fundamental methods and algorithms but is also making interdisciplinary advances through collaborations with faculty at the University of Notre Dame and community, national, and international partners. He is a Fellow of AAAI, ACM, and IEEE.

He is a computer scientist and data scientist currently serving as the Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame. He is the Founding Director of the Lucy Family Institute for Data & Society. Chawla’s research expertise lies in machine learning, data science, and network science. He is also the co-founder of Aunalytics, a data science software and cloud computing company. Chawla is a fellow of the Association for Computing Machinery (ACM), a Fellow of the Association for the Advancement of Artificial Intelligence, a Fellow of the Asia Pacific Artificial Intelligence Association, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He has received multiple awards, including the 1st Source Bank Commercialization Award in 2017, Outstanding Teaching Award (twice), IEEE CIS Early Career Award, National Academy of Engineering New Faculty Award, and the IBM Big Data Award in 2013. One of Chawla’s most recognized publications, with a citation count of over 25,000, is the research paper titled “SMOTE: Synthetic Minority Over-sampling Technique.” . Chawla’s research has garnered a citation count of over 62,000 and an H-index of 80.

Related sessions

31 May 2024

Collective AI for Impact

12:15 - 18:00 CEST Geneva

Virginia Dignum (Umeå University), Amir Banifatemi (AI Commons), Frank Dignum (Umeå University)...

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Nitesh Chawla

Nitesh Chawla

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