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Nitesh Chawla

Nitesh V Chawla

Frank Freimann Collegiate Associate Professor

Department of Computer Science and Engineering

Frank Freimann Collegiate Collegiate Associate Professor
College of Engineering


Phone: 574-631-8716

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 Collegiate Associate Professor in the Department 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.  His research is focused on machine learning, data mining, and network science.  He is at the frontier of interdisciplinary applications with innovative work in healthcare informatics, social networks, analytics, 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 received the IBM Watson Faculty Award in 2012. He was the chair of the IEEE CIS Data Mining Technical Committee (2010-2012). He serves on editorial boards of a number of journals and organization/program committees of top-tier conferences.  

Summary of Activities/Interests

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

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


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.