Sara Graves Director, ITSC Professor, Computer Science Contact 320 Sparkman DriveOlin B. King Technology HallRoom S339AHuntsville, AL 35899 Campus Map email@example.com Biography 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 Expertise Data Mining Distributed Information Systems Recent 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.