![]() Research InterestsMy research experience has been in the area of data mining for ecological monitoring and time series event-detection (with the GOPHER group at UMN). My M.S. thesis focused on efficient similarity search for time series subsequences in massive spatiotemporal datasets, on interactive runtime scales.
My current research is on spatiotemporal social network analysis. I am interested in spatiotemporal data mining methods related to surveillance and privacy concerns of fine-grained location-based services. I am part of the the Laboratory for Computational Population Biology at UIC.
Modeling and Analysis of Spatiotemporal Social Networks I. Brugere, V. M.V. Gunturi, and S. Shekhar Encyclopedia of Social Network Analysis and Mining, 2014 Approximate Search on Massive Spatiotemporal Datasets I. Brugere, K. Steinhaeuser, S. Boriah, and V. Kumar Proceedings of the International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM’12) A Study of Time Series Noise Reduction Techniques in the Context of Land Cover Change Detection X. Chen*, V. Mithal*, S.R. Vangala*, I. Brugere*, S. Boriah, and V. Kumar Proceedings of the NASA Conference on Intelligent Data Understanding (CIDU’11)  A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests Y. Chamber, A. Garg, V. Mithal, I. Brugere, M. Lau, V. Krishna, S. Boriah, M. Steinbach, V. Kumar, C. Potter, and S. Klooster Proceedings of the NASA Conference on Intelligent Data Understanding (CIDU’11)  Incorporating Natural Variation into Time Series-Based Land Cover Change Identification V. Mithal, A. Garg, I. Brugere, S. Boriah, V. Kumar, M. Steinbach, C. Potter, and S. Klooster Proceedings of the NASA Conference on Intelligent Data Understanding (CIDU’11) GOPHER: Global Observation of Planetary Health and Ecosystem Resources A. Garg, V. Mithal, Y. Chamber, I. Brugere, V. Chaudhari, M. Dunham, V. Krishna, S. Krishnamurthy, S. Vangala, S. Boriah, M. Steinbach, V. Kumar, A. Cho, JD Stanley, T. Abraham, J. C. Castilla-Rubio, C. Potter, and S.A. Klooster Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS’11) |
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