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)
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.
- Chawla, S. and Chawla, N. V., Data Analytics: A Problem Solving Approach (Under Preparation)
- Yu, Ting, Chawla, N. V., Simoff Simeon, Computational Intelligent Data Analysis for Sustainable Development (2012)
- Vatsavai, R., Omitomu, O. Gama, J., Chawla, N. V., Gaber, M. and Ganguly, A., Knowledge Discovery from Sensor Data (2010)
- (with Ercsey-Ravasz, M., Lichtenwalter, R., and Toroczkai, T.) "Range- limited centrality measures in complex networks" (in press)
- (with David, D. and Lichtenwalter, R.) "Supervised methods for multi- relational link prediction” (in press)
- (with Hoens, T., Steele, A., and Blanton, M.) "Reliable Medical Recommendation Systems with Patient Privacy" (in press)
- (with Rider, A., Siwo, G., Emrich, S., and Ferdig, M.) "Supervised Learning Approach to the Ensemble Clustering of Genes" (2012)
- (with Hoens, T. and Polikar, R.) "Learning from streaming data with concept drift and imbalance" (2012)
- (with Steinhaeuser, K. and Ganguly, A.) "Multivariate and Multiscale Dependence in the Global Climate System Revealed Through Complex Networks," (2011)
- (with Davis, D.) "Exploring and Exploiting Disease Interactions from Multi-relational Gene and Phenotype Networks" (2011)
- (with Torres, J., Raeder, T., Rodriguez, R., and Herrera, F.) "A Unifying View on Dataset Shift in Classification" (2011)
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.