Data, Inference, Analytics and Learning Lab


Computer Science and Engineering
353 Fitzpatrick Hall
Notre Dame, IN 46556
(574) 631-8716
nchawla [at] cse [dot] nd.edu
Recent News (only last ten items shown)
July 2013 The paper on cellphone call duration accepted as full paper at ECML/PKDD 2013

October 2012 Chawla receives the IBM Watson Faculty Award

October 2012 Chawla recognized as the Frank Freimann Associate Professor of CSE

October 2012 Poster "Dynamic Topic Models for Aviation Safety" to appear at IEEE CIDU.

October 2012 Two papers on social and information networks accepted as full papers (10.7% acc rate) at IEEE ICDM 2012

October 2012 Chawla gives a keynote at Indiana Global Health Innovation Conference

October 2012 Paper on Species Distribution at IEEE CIDU 2012

September 2012 Exploring and Exploiting Disease Interactions from Multi-relational Gene and Phenotype Networks,??selected for the 2012 IMIA Yearbook of Medical Informatics, 2012

July 2012> Paper on streaming and imbalanced data accepted as full paper at ACM KDD 2012

April 2012 Paper on Vertex Collocation Profiles published and presented at WWW'12

Welcome to the DIAL (Data, Inference Analytics, and Learning) Lab, Professor Nitesh Chawla's research group. The DIAL Lab is closely affiliated with the Interdisciplinary Center for Network Science and Applications (iCeNSA), which is directed by Prof. Chawla. The iCeNSA is an interdisciplinary University research center organized around network science problems in social, biological, biochemical, physical, environmental, financial, organizational, technical and defense systems.

Our research addresses a diverse set of problems in Big Data and Analytics. Our fundamental work in data mining includes -- class imbalance (rare and extreme events), cost-sensitive learning, evaluation issues, streaming data, graph mining, network science, and parallel and distributed data mining. We work on a broad range of applications including social networks, healthcare analytics and informatics, systems biology, and climate and environmental science. The research is/has been supported with grants and awards from National Science Foundation (NSF), Army Research Labs (ARL), Department of Energy (DOE), Department of Defense (DOD), National Institute of Justice (NIJ), DARPA, Battelle, NET Institute, Northwest Indiana Computational Grid, and a number of Industry sponsors.