Computational Sciences and Engineering Division, ORNL
Dr. Budhendra Bhaduri is the leader of the Geographic Information Science & Technology (GIST) group at the Oak Ridge National Laboratory (ORNL) and a founding member of the U.S. Department of Energy’s Geospatial Sciences Steering Committee. In 2009, he was appointed to the Mapping Science Committee of the National Academy of Sciences/National Research Council. His primary responsibilities include conceiving, designing, and implementing innovative geocomputational methods and algorithms to solve a wide variety of national and global problems involving population dynamics modeling, energy and natural resource studies, transportation modeling, and emergency preparedness and response.
Dr. Bhaduri is also a principal member of the LandScan Global population modeling program at ORNL, which, in 2006 won a prestigious R&D 100 award as one of the top 100 global technologies serving society. He leads the LandScan USA high resolution population dynamics modeling program and was awarded a 2010 Homeland Security award by the Christopher Columbus Fellowship Foundation. In addition to his contributions in human settlement studies, he has extensive experience of novel implementation of geospatial science and technology in other areas sustainable development research, including human dimensions of critical infrastructure, urbanization and watershed impacts, and energy resource analysis.
He is currently a member of Science Dean’s Leadership Council at Purdue University, the Transportation Research Board’s Committee on Geographic Information Science & Applications, and Strategic Highway Research Program (SHRP 2) Expert Task Group on Acquisition of Roadway Information. He has published extensively in a number of leading scientific journals. He currently serves on the editorial board of the Journal Earth Science Informatics. He has served as a guest editor for two special issues of Springer’s GeoJournal dedicated towards "The Geography of Global Population Dynamics". Dr. Bhaduri is actively involved with academic institutions for scientific collaborations and student engagement for research in geospatial science. He is a recipient of the Department of Energy’s Outstanding Mentor Award for his dedicated service to the department for developing future workforce for the nation.
Engel, B., Chaubey, I., Thomas, M., Saraswat, D., Murphy, P., and Bhaduri, B., 2010. Biofuels and water quality: challenges and opportunities for simulation modeling. Biofuels (2010) 1(3), 463–477.
Elvidge, C.D., Baugh, K.E., Sutton, P.C., Bhaduri, B., Tuttle, B.T., Ghosh, T., Ziskin, D., Erwin, E.H., 2010. Who's In The Dark: Satellite Based Estimates Of Electrification Rates, Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment, Ed. Xiaojun Yang, Wiley-Blackwell, Chichester, UK, In Press
Archibald, Richard K , Filippi, Anthony M, Bhaduri, Budhendra L., and Bright, Eddie A., 2009. Agricultural mapping using Support Vector Machine-Based Endmember Extraction (SVM-BEE). Optics Express, 47(3), p. 771.
Patterson, L, Urban, M, Myers, A, Bhaduri, B, Bright, E, and Coleman, P., 2009. The Effects of Quality Control on Decreasing Error Propagation in the LandScan USA Population Distribution Model: A Case Study of Philadelphia County. Transactions in GIS, 13(2), 215-228.
West, T, Singh, N, Marland, G, and Bhaduri, B., 2009. The Human Carbon Budget: An Estimate of the Spatial Distribution of Metabolic Carbon Consumption and Release in the United States. Biogeochemistry, 94(1), 29-41.
Bhaduri, B., Shankar, M., Sorokine, A., and Ganguly, A. R., 2009. Spatio-temporal visualization for environmental decision support. In: Raffaele De Amicis, Radovan Stojanovic, Giuseppe Conti (Eds.), GeoVisual Analytics: Geographical Information Processing and Visual Analytics for Environmental Security, NATO Science for Peace and Security Series - C: Environmental Security. Springer. (in press)
Bhaduri, B. 2008. Population Distribution During the Day. In: Shekhar, S. and Hui Xiong, (Eds). Encyclopedia of GIS. 2008. Springer-Verlag. pp 1377
Vijayaraj V., Bright E., and Bhaduri, B., 2007. Rapid Damage Assessment from High Resolution Imagery, Proceedings of the IEEE International geosciences and remote sensing symposium (IGARSS) 2008, July 5-8 2008, Boston, USA.
Bhaduri, B., Bright E., and Vijayaraj V. 2007. Towards a Geospatial Knowledge Discovery Framework for Disaster Management, Proceedings of the ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial intelligence for environment and security, Frascati, Italy.
Bhaduri B., Bright, E., Coleman, P, and Urban, M. 2007. LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics. GeoJournal 69:103-117.
Vijayaraj V., Bright E., and Bhaduri, B., 2007. High Resolution Urban Feature Extraction for Global Population Mapping using High Performance Computing, Proceedings of the IEEE International geosciences and remote sensing symposium (IGARSS) 2007, July 23-27 2007, Barcelona, Spain.
Cai, Q., G. Rushton, B. Bhaduri, E. Bright, and P. Coleman.2006. “Estimating Small-area Populations by Age and Sex Using Spatial Interpolation and Statistical Inference Methods.” Transactions in GIS, 10(4): 577–598.
Tobin, K., B. Bhaduri, E.Bright, A. Cheriydat, T. Karnowski, P. Palathingal, T. Potok., J. Price. 2006. “Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing.” Photogrammetric Engineering & Remote Sensing. Vol. 72.
Jerome Dobson, Edward Bright, Phillip Coleman, and Bhaduri, Budhendra. 2003. LandScan: a global population database for estimating population at risk. In Remotely Sense Cities, Victor Mesev (Ed.), Taylor & Francis, 378 pp.
Bhaduri, B., Bright, E., Coleman, P., & Dobson, J. 2002. LandScan: Locating people is what matters. Geoinformatics, 5 (2), 34-37.
Bhaduri, B., Minner, M., Tatalovich, S. and Harbor, J., 2001. Long-term hydrologic impact of land use change: A tale of two models. Journal of Water Resources Planning and Management, 127(1), p.13-19.
Bhaduri, B., Harbor, J., Engel, B. and Grove, M., 2000. Assessing watershed-scale, long-term hydrologic impacts of land use change using a GIS-NPS model. Environmental Management, 26(6), p. 643–658.