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new Ganguly, A.R. (2007): The Research Theme Presentation

new Ganguly, A.R., and B.L. Bhaduri (2007): A framework for geospatial-temporal knowledge discovery, American Association of Geographers, Annual Meeting, San Francisco, CA.

Kuhn, G., Khan, S., and A. Ganguly (2006): New approaches for extreme value analysis in largescale geospatial-temporal data with applications to observed and climate-model simulated precipitation in South America, Session on Role of Observed Precipitation in Atmospheric and Land Surface Models I, Fall Meeting of the American Geophysical Union, San Francisco, CA.

Fuller, C., Sabesan, A., Khan, S., Kuhn. G., Ganguly, A., Erickson, D., and G. Ostrouchov (2006): Quantification and visualization of the human impacts of anticipated precipitation extremes in South America, Session on Catastrophic Risk from Natural Perils: Scientific, Engineering, and Financial Issues, Fall Meeting of the American Geophysical Union, San Francisco, CA.

Branstetter, M.L., Erickson, D.J., Ghan, S., Ganguly, A., and Khan, S. (2006): Hydrology in the IPCC Simulations, CCSM3 (Community Climate System Model, Version 3) Workshop, Breckenridge, CO.

Ganguly, A.R. and Y. Fang (2006): Online alarm generation in sensor-cyber networks, Session on Sensor-Cyber Networks for Homeland Defense, 9th ONR/GTRI Workshop on Target Tracking in Sensor Fusion, Analytical Predictions of Tracking Performance, Office of Naval Research and Georgia Tech Research Institute, Gatlinburg, TN.

Huang, C., Hsing, T., Cressie, N., Ganguly, A.R., Protopopescu, V.A., and N.S. Rao (2006): Plume Model Identification Based on Statistical Analysis of Sensor Network Data, Session on Sensor-Cyber Networks for Homeland Defense, 9th ONR/GTRI Workshop on Target Tracking in Sensor Fusion, Analytical Predictions of Tracking Performance, Office of Naval Research and Georgia Tech Research Institute, Gatlinburg, TN.

Ganguly, A. R. (2006): Basic research needs in SensorNet®, Invited Presentation, First Conference on Statistical and Quantitative Methods for Defense and National Security, RAND Corporation and the American Statistical Association, Santa Monica, CA.

Abercrombie, K., Sabesan, A., A.R. Ganguly (2006): Metrics for the comparative analysis of geospatial datasets with applications to high-resolution grid-based population data, American Association of Geographers, Annual Meeting, Chicago, IL.

Ganguly, A.R., Khan, S., Erickson, D.J., Katz, R.W., Ostrouchov, G., Protopopescu, V.A., Bandyopadhyay, S., and S. Saigal (2005): Multivariate dependence in complex systems, Fifth Symposium on Understanding Complex Systems, University of Illinois at Urbana-Champaign, IL, May.

Khan, S., Bandyopadhyay, S., Ganguly, A.R. (2005): Nonlinear dependence among multiple time series from limited observations and noise, Session on Nonlinear Data Sciences for Finite Data with Noise and Periodicity, Fall Meeting of the American Geophysical Union, San Francisco, CA.

Ganguly, A.R., Khan, S., Saigal, S. (2005): Impact of noise and seasonality on the detection and nonlinear prediction of chaos from finite river-flow time series, Session on Nonlinear Data Sciences for Finite Data with Noise and Periodicity, Fall Meeting of the American Geophysical Union, San Francisco, CA.

Samatova, N., Branstetter, M., Ganguly, A.R., Hettich, R., Khan, S., Kora, G., Li, J., Ma, X., Pan, C., Shoshani, A., and S. Yoginath (2006): High performance statistical computing with parallel R: Applications to biology and climate, US DOE SciDAC PI Meeting.

 

 


 

Point of Contact: Auroop R. Ganguly, Geographic Information Science & Technology, Computational Sciences and Engineering Division, Oak Ridge National Laboratory
1 Bethel Valley Road, MS 6017, Oak Ridge, TN 37831, Phone: +1-865-241-1305, Fax: +1-865-241-6261, Email: gangulyar@ornl.gov, Website: http://www.geocities.com/auroop_ganguly