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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, 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).

News

Nitesh Chawla Named Recipient of 1st Source Bank’s 2017 Commercialization Award

April 18, 2017

Nitesh Chawla has been named the recipient of the 2017 1st Source Bank Commercialization Award. Chawla received the award, which carries a $20,000 cash prize, for innovating a new data science software, Aunsight, allowing data scientists and business analysts to deliver on the business value proposition of big data analytics.

Notre Dame, Condé Nast Announce New Research Collaboration on Content Consumption and Deep Learning

December 8, 2016

How each and every person consumes digital content is different, but University of Notre Dame researchers are working to better understand and model this process. The Interdisciplinary Center for Network Science and Applications at Notre Dame is partnering with Condé Nast – a media company known for producing high-quality content for the world’s most influential audiences – to advance deep learning research on content consumption.

IBRI Announces Visiting Fellow and Interim Director of Applied Data Sciences Core

October 19, 2016

The Indiana Biosciences Research Institute announced that Notre Dame Professor Nitesh Chawla will be a visiting fellow of the Institute and serve as the interim director of the Applied Data Sciences Core.

Expressing the Value of Data Science in an ROI Framework

September 16, 2016

In a recent paper published in EPJ Data Science, University of Notre Dame researchers study how organizations can quantify decision making in data science.

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.