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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).


Looking beyond Conventional Networks Can Lead to Better Predictions

May 20, 2016

By identifying higher-order dependencies in ship movements, namely where a ship is more likely to go next given its previous steps, researchers at Notre Dame can more accurately model ship movements, and therefore flow dynamics of invasive Zebra mussels. Their work, which relies on network science, can identify patterns and connections in a range of fields.

Technology Meets Society: New App Helps Seniors Live Better

November 19, 2015

One of the traditional challenges of independent living communities is how caretakers and nurses can provide support in an environment where they have many patients. The app eSeniorCare, developed by the University's Interdisciplinary Center for Network Science and Applications, helps provide continuity of care while also empowering seniors.

ND-Gain Joins Researchers Examining Weather Extremes and City Infrastructure

July 30, 2015

The University of Notre Dame’s Global Adaptation Index is joining a team of researchers who, with National Science Foundation backing, will look at innovative ways of making urban infrastructure more resilient and equitable.

New Notre Dame Paper Focuses on Degree Centrality in Networks

February 25, 2015

Paper shares new methodology developed at Notre Dame to accurately predict the future prominence of an individual in social networks.

New Paper Examines the Significant Social Strategies in Human Communication

October 6, 2014

A new study by researchers from the University of Notre Dame and Tsinghua University offers great potential for understanding the social principles that underpin the highly connected world, from individuals to groups to societies.