Skip to content. | Skip to navigation

Personal tools
Log in
Home > Profiles > Nitesh Chawla

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).


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.

Chawla to Receive IEEE CIS Early Career Award

August 1, 2014

Nitesh V. Chawla, the Frank M. Freimann Collegiate Associate Professor of Computer Science and Engineering and director of both the Interdisciplinary Center of Network Science and Applications, and the Data, Inference, Analytic and Learning Lab at the University of Notre Dame, has been selected by the Institute of Electrical and Electronics Engineers (IEEE) Computational Intelligence Society (CIS) to receive the society’s 2015 Outstanding Early Career Award.

>View more News