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Nitesh Chawla

Nitesh V Chawla

Frank M. Freimann Professor

Department of Computer Science and Engineering

Frank M. Freimann Professor
College of Engineering


Phone: 574-631-1090

Office: 384 Nieuwland Science Hall


Ph.D., Computer Science and Engineering, University of South Florida, 2002

M.S., Computer Science, University of South Florida, 2000

B.E., Computer Science and Engineering, University of Poona, 1997


Nitesh Chawla, PhD is the Frank Freimann Professor of Computer Science and Engineering, Director of Data Inference Analysis and Learning Lab (DIAL), and Director of the Interdisciplinary Center for Network Science and Applications (iCeNSA). He started his tenure-track position at Notre Dame in 2007, and was promoted and tenured in 2011, and chaired full professor in 2015.  His research is focused on machine learning, data science, and network science.  He is at the frontier of interdisciplinary applications with innovative work in healthcare ianalytics, social and information networks, business analytics, national security, and climate/environmental sciences. He is the recipient of multiple awards for research and teaching innovation including outstanding teacher awards (2007 and 2010), National Academy of Engineers New Faculty Fellowship, and number of best paper awards and nominations.  He is the recipient of the 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award,  National Academy of Engineering New Faculty Fellowship, and his PhD dissertation also received the Outstanding Dissertation Award. In recognition of the societal and community driven impact of his research, he was recognized with the Rodney Ganey Award  and Michiana 40 Under 40.  He is a Fellow of the Reilly Center for Science, Technology, and Values;, Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies at  Notre Dame. He is the founder of Aunalytics, a data science company.

Summary of Activities/Interests

Dr. Chawla's research interests are broadly in the areas of Big Data: data science, machine learning, network science and their applications social networks, healthcare informatics/analytics, and climate/environmental sciences.

He directs the Notre Dame Interdisciplinary Center for Network Science and Applications (iCeNSA) and the Data Inference Analytics and Learning Lab (DIAL).


Women, your inner circle may be key to gaining leadership roles

January 22, 2019

Women who communicate regularly with a female-dominated inner circle are more likely to attain high-ranking leadership positions, according to a new study by the University of Notre Dame and Northwestern University.

Notre Dame Researchers Develop "FraudBuster" Systems to Reduce Fraud in Auto Insurance Market

July 3, 2018

To better control costs associated with fradulent insurance policies, University of Notre Dame researchers at the Interdisciplinary Center for Network Science and Applications (iCeNSA) have developed artificial intelligence algorithms and a system that identifies potential fraudulent risks, which can be assessed at the underwriting stage.

IDEA Week Panel

April 22, 2018

Study Shows Social Media an Effective Tool for Predicting 
Voting Outcomes

February 6, 2018

A new study conducted by researchers at the University of Notre Dame, reveals social media may highlight intergroup polarization of voter opinion more adequately than traditional polls when predicting election outcomes.

Developing a Better Way to Integrate Data from Different Sources

November 16, 2017

Research team wins Best Application Paper award at IEEE DSAA2017 as they address ways to better integrate data from different sources through heterogeneous materials information network for use by materials science community.