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Recent Journal Publication
Khan, S., S. Bandyopadhyay, Ganguly, A.R., S. Saigal, D. J. Erickson, III, V. Protopopescu, and G. Ostrouchov (2007): Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data, Physical Review E, (Submitted). [Paper not yet published: Related conference presentation here]
Kuhn, G., Khan, S., Ganguly, A.R., M. Branstetter (2006): Geospatial-temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America, Advances in Water Resources. (In Review).
Huang, C., Hsing, T., Cressie, N.,
Ganguly, A.R., Protopopescu, V.A., and N.S. Rao (2006): Statistical Analysis of Plume Model Identification Based on Sensor Network Measurements, ACM Transactions on Sensor Networks. (In Review).Sabesan, A., Abercrombie, K.,
Ganguly, A.R., Bhaduri, B.L., Bright, E.A., and P. Coleman (2006): Metrics for the comparative analysis of geospatial datasets with applications to highresolution grid-based population data, GeoJournal. (Invited: In Review).Khan, S., Kuhn, G.,
Ganguly, A.R., Erickson, D.J., and G. Ostrouchov (2006): Spatio-temporal variability of daily and weekly precipitation extremes in South America, Water Resources Research. (In Revision).Gupta, A., Seshasai, S., Mukherji, S., and
A.R. Ganguly (2006): Offshoring: The Transition from Economic Drivers toward Strategic Global Partnership and 24-Hour Knowledge Factory, Invited Lead Editorial Paper, Journal of Electronic Commerce in Organizations. (In Press).Khan, S.,
A. R. Ganguly, S. Bandyopadhyay, S. Saigal, D. J. Erickson, III, V. Protopopescu, and G. Ostrouchov (2006): Nonlinear statistics reveals stronger ties between ENSO and the tropical hydrological cycle, Geophysical Research Letters, 33, L24402, doi:10.1029/2006GL027941.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, Journal of Physics: Conference Series 46 (2006), 505-509.Khan, S.,
Ganguly, A. R., and Saigal, S. (2005): Detection and predictive modeling of chaos in finite hydrological time series. Nonlinear Processes in Geophysics, 12: 41-53.
Ganguly, A. R.,
and Bras, R. L. (2003):
Distributed quantitative precipitation forecasting
combining information from radar and numerical weather prediction model
outputs,
Journal of
Hydrometeorology,
4(6), 1168-1180. [Paper]
Reyes-Aldasoro, C. C.,
Ganguly, A. R.,
Lemus, G., and A Gupta (1999):
A hybrid model based
on dynamic programming, neural networks, and surrogate value for inventory
optimization
applications.
Journal of the Operational Research Society,
50(1), 85-94. [Paper]
Peer-Reviewed Conference Publications
Fang, Y.,
Ganguly, A.R., Singh, N., Vijayaraj, V., Feierabend, R.N., and D.T. Potere (2006): Online change detection: Monitoring land-cover from remotely sensed data, The 2006 IEEE International Workshop on Mining Evolving and Streaming Data, Proceedings of the 2006 IEEE International Conference on Data Mining: Workshops, 626-631, Hong Kong, 18 December. Ganguly, A.R., Hsing, T., Katz, R., Erickson, D., Ostrouchov, G., Wilbanks, T., and N. Cressie (2005): Multivariate dependence among extremes, abrupt change and anomalies in space and time for climate applications, Proceedings of the Workshop on Data Mining for Anomaly Detection, The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, August.. Ganguly, A.R., Protopopescu, V.A., and A. Sorokine (2005): A bottom-up strategy for uncertainty quantification in complex geo-computational models, GeoComputation 2005, 8th International Conference on GeoComputation, Ann Arbor, MI.
ORNL Technical Reports
Sabesan, A., Abercrombie, K.,
Ganguly, A.R., Bhaduri, B.L., Bright, E.A., and P. Coleman (2006): Uncertainty in Population Estimates — A Comparison between GPW and LandScan Data Models, ORNL/TM-2006/540, Oak Ridge National Laboratory.Gerdes, D.A., Khan, S., and
A.R. Ganguly (2006): Nonlinear Dependence Measures with Application to Static Scale Data from the Watt Road Weigh Station, ORNL/TM-2006/549, Oak Ridge National Laboratory.Fang, Y., and
A.R. Ganguly (2006): Probabilistic Principal Component Analysis for Online Anomaly Detection with Application to Static Scale Data from the Watt Road Weigh Station, ORNL/TM-2006/546, Oak Ridge National Laboratory.Gabriel, K., and
A.R. Ganguly (2006): Geospatial-temporal dependence among the usual and the extreme values with applications to observed and simulated precipitation in South America, ORNL/TM-2006/542, Oak Ridge National Laboratory. (In Review).
Invited Editorial Review Article
Ganguly, A. R. (2002): Software Review – Data Mining Components. OR/MS Today, Institute for Operations research and the Management Sciences (INFORMS), 29(5), 56-59, October.
Book Chapters
Khan, S.,
Ganguly, A. R., and A. Gupta (2005): Creating knowledge about the future through business forecasting and planning, Encyclopedia of Knowledge Management, D. Schwartz (editor), Idea Group. Ganguly, A. R., and A. Gupta (2005): Data mining and decision support for business and science, Encyclopedia of Data Warehousing and Mining, J. Wang (editor), Idea Group. Ganguly, A. R., and A. Gupta (2005): Framework for strategic IT decisions, The Handbook of Business Strategy, P. Coate (editor), Emerald.
Working Papers
Olufemi A. Omitaomu,
Ganguly, A. R., Bruce W. Patton, and
Vladimir A. Protopopescu. (2007): Shape-Based Knowledge Discovery
Methodology for Truck Assessments at Weigh Stations Using Cargo Spectroscopy
Data.
Olufemi A. Omitaomu,
Ganguly, A. R.,
and Vladimir A.
Protopopescu. (2007): Analysis and Comparison of Different Wavelet-Based
Denoising Methods for Noisy Cargo Spectroscopy Signal.
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Point of Contact:
Auroop R. Ganguly,
Geographic Information Science & Technology, Computational Sciences and
Engineering Division, Oak Ridge National Laboratory |