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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

Email: nchawla@nd.edu

Phone: 574-631-1090

Office: 384 Nieuwland Science Hall

Education

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

Biography

Nitesh Chawla is the Frank Freimann Professor of Computer Science and Engineering. He directs the Notre Dame Center for Network and Data Science (CNDS) and the Data Inference Analytics and Learning Lab (DIAL).

Chawla joined the Notre Dame faculty in 2007. His research focuses 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

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.

News

Nitesh Chawla appointed the founding director of Notre Dame’s Lucy Family Institute for Data & Society

June 23, 2020

Nitesh V. Chawla, the Frank M. Freimann Professor of Computer Science and Engineering, has been appointed the founding director of the University’s Lucy Family Institute for Data & Society.

Nitesh Chawla appointed the founding director of Notre Dame’s Lucy Family Institute for Data & Society

June 23, 2020

Nitesh V. Chawla, the Frank M. Freimann Professor of Computer Science and Engineering, has been appointed the founding director of the University’s Lucy Family Institute for Data & Society.

Past your bedtime? Inconsistency may increase risk to cardiovascular health

March 24, 2020

Nitesh Chawla, professor of computer science and engineering at Notre Dame and director of the Center for Network and Data Science, and his team have found a correlation between bedtime regularity and resting heart rate. Their recent study shows that individuals going to bed even 30 minutes later than usual triggers a significantly higher resting heart rate that lasts into the next day.

Past your bedtime? Inconsistency may increase risk to cardiovascular health

March 24, 2020

Nitesh Chawla, professor of computer science and engineering and director of the Center for Network and Data Science, and his team have found a correlation between bedtime regularity and resting heart rate. Their recent study shows that individuals going to bed even 30 minutes later than usual triggers a significantly higher resting heart rate that lasts into the next day.

Notre Dame announces the Center for Network and Data Science

February 5, 2020

Frank Freimann Professor of Computer Science and Engineering, Nitesh Chawla directs the center, which aims to generate transformative advances in artificial intelligence, data science, and network science along with interdisciplinary applications in biological sciences, neuroscience, molecular synthesis, health and wellbeing, network science, foundations of computing, physical and transportation systems, and social systems.