Ranga Raju Vatsavai

Dr. Ranga Raju Vatsavai

Senior Research Scientist

Phone: (865) 576 3569
Fax: (865) 241 6261
Email: vatsavairr@ornl.gov


Ph.D., Computer Science, University of Minnesota, 2008
M.S., Computer and Information Science, University of Minnesota,  2003


Development of efficient, innovative, and parallel algorithms in the field of pattern recognition, data mining, and machine learning; extending database and data mining technologies to facilitate efficient storage, query processing, and knowledge discovery from large spatiotemporal and scientific databases.

Work Experience:

2006 – Present, Oak Ridge National Laboratory, Oak Ridge, TN, USA
2004 – 2006, IBM-Research, IIT-Delhi campus, India
1999 – 2004, University of Minnesota; Twin-cities, MN
1998 - AT&T Labs, Middletown, NJ
1995 – 1998, Center for Development of Advanced Computing (C-DAC, Pune, India)
1990 – 1995, National Forest Data Management Center, FRI Campus, Dehradun, India

Awards & Recognition:

  • Best Director’s R&D Poster Award at ORNL, 2011
  • Exceptional Mentoring – Research Alliance in Math and Science (2009 and 2010)
  • Who’s Who in Science and Engineering, 10th Anniversary Ed., 2007
  • Bravo! Best of IBM award, IBM-India Research Lab, 2005


Ranga Raju Vatsavai, “Rapid Damage eXplorer (RDX): A probabilistic framework for learning changes from bitemporal images,” IEEE International Conference on Data Mining (ICDM), demo paper, Belgium, 2012

Chris Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel., “Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-Supervised Learning,” Proceedings of ICMLA, 2012

Graesser, J.; Cheriyadat, A.; Vatsavai, R.R.; Chandola, V.; Long, J.; Bright, E.; , "Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape," Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol.5, no.4, pp.1164-1176, Aug. 2012

Ranga Raju Vatsavai, Budhendra L. Bhaduri: A hybrid classification scheme for mining multisource geospatial data. GeoInformatica, 15(1): 29-47 (2011)

Varun Chandola, Ranga Raju Vatsavai: A scalable Gaussian process analysis algorithm for biomass monitoring. Statistical Analysis and Data Mining, 4(4): 430-445 (2011)

Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk: An efficient spatial semi-supervised learning algorithm. IJPEDS, 22(6): 427-437 (2007)

Short Biosketch