Frank Freimann Collegiate Associate Professor of Computer Science and Engineering
Director of the Interdisciplinary Center for Network Science and Applications (iCeNSA) and Data Inference Analytics and Learning Lab (DIAL)

Nitesh Chawla


Education:
B.E., Computer Science, University of Pune, 1997
M.S., Computer Science and Engineering, University of South Florida, 1999
Ph.D., Computer Science and Engineering, University of South Florida, 2002.

Areas of Expertise: Machine learning and data mining with its applications to medical informatics/prospective health care, social networks, bioinformatics, distributed systems/sensor networks, and business analytics.

Books: 

Recent Articles: 

Office: 353 Fitzpatrick Hall
Email: nchawla@nd.edu
Website: nd.edu/~nchawla

Nitesh Chawla, PhD is a the Frank Freimann Collegiate Associate Professor of Computer Science and Engineering, Director of the Interdisciplinary Center for Network Science and Applications (iCeNSA)  and  Data Inference Analytics and Learning Lab (DIAL). Prior to Notre Dame, he was a Senior Risk Modeling Manager at CIBC in Toronto. His research is focused on Big Data, specifically machine learning, data mining, and graph mining (network science). He is at the frontier of interdisciplinary applications with innovative work in healthcare analytics, social networks, and climate/ environmental sciences. He is the recipient of multiple awards for research and teaching innovation including outstanding teacher awards (2008 and 2011), National Academy of Engineers (NAE) New Faculty Fellowship, his publicaiton selected as one of the best articles from the literature in medical informatics for the IMIA Yearbook for 2012, and a number of best paper awards and nominations. He is a recipient of the IBM Watson Faculty Award, recognizing his work in Big Data and Analytics. He has over 140 publications, and serves as PI/Co-PI on over $9 Million Dollars in external research funding. He is the chair of the IEEE CIS Data Mining Technical Committee, and the IEEE CIS Task Force on Big Data.  He is Associate Editor for IEEE Transactions on Systems, Man and Cybernetics (Part B) and Pattern Recognition Letters.; he is a guest editor for the Statistical Analysis and Data Mining Journal (2011, 2012).  He is a founder of Aunalytics, Inc, a start-up focused on industry solutions for big data and analytics.