Sara Graves  

Sara Graves

Professor, Computer Science Department
Director, INFORMATION TECHNOLOGY AND SYSTEMS CENTER (ITSC)

Biography

Dr. Sara Graves' Curriculum Vitae

Education

  • Ph.D., Computer Science, University of Alabama in Huntsville, 1984
  • M.S., Computer Science, University of Alabama in Huntsville, 1981
  • M.A., Institutional Analysis, University of Alabama, 1971
  • B.S., Mathematics, University of Alabama, 1967

Publications

  • Graves, S., Keiser, K., Maskey, M., and McEniry, M., Supporting Decision Support with Event- Driven Data Delivery. American Meteorological Society (AMS). Atlanta, GA, 2014.
  • Graves, S., R. Ramachandran, T. Berendes, Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery, SCC '12 Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, IEEE Computer Society, Washington, D.C., 2012.
  • Graves, S., X. Li, D. Smith, K. Keiser, Building a Climatology of Mountain Gap Wind Jets and Related Coastal Upwelling, SCC '12 Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, IEEE Computer Society, Washington, D.C., 2012.
  • Conover, H., R. Ramachandran, B. Beaumont, A. Kulkarni, M. McEniry, K. Regner, and S. Graves, accepted: Introducing Provenance Capture into a Legacy Data System. IEEE Transactions on Geoscience and Remote Sensing 2013.
  • Graves, S. and T. Berendes, “Meeting the Challenges of Data-Intensive Science,” IGARSS 2012: IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22-27 July, 2012.
  • Rushing, J., R. Ramachandran, U.J. Nair, S. J. Graves, R. Welch, and H. Lin, “ADaM: A Data Mining Toolkit for Scientists and Engineers,” Elsevier Computers and Geosciences, Vol. 31, No. 5, pp. 607-618, June 2005. Most cited article in Computers and Geosciences 2005-10.
  • Conover, H., Drewry, M., Graves, S., Keiser, K., Maskey, M., Smith, M., et al. SCOOP Data Management: A Standards-based Distributed Information System for Coastal Data Management. In L. Di & H. K. Ramapriyan (Eds.), Standards-Based Data and Information Systems for Earth Observation. Springer-Verlag, December 2009.
  • Ramachandran, R., S. Graves, J. Rushing, K. Keiser, M. Maskey, A. Lin, H. Conover, “ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm,” Data Mining Techniques in Grid Computing Environments, W. Dubitzky, Editor. Wiley Publication, 2007.
  • Rushing, J., H. Ranganath, T. Hinke and S. Graves, "Image Segmentation Using Association Rule Features," IEEE Transactions on Image Processing: vol. 11. no. 5, pp. 558-567, May 2002.
  • Rushing, J., H. Ranganath, T. Hinke and S. Graves, "Using Association Rules as Texture Features," IEEE Transactions on Pattern Analysis and Machine Intelligence: vol 23. no. 8, pp. 845-858, August 2001.