PUBLICATIONS and PRESENTATIONS
Innovative Technologies for Sciences Data Processing. American Geophysical Union 2001 Spring Meeting. 2001 .
. Emergent Science - a new way forward?. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI; 2010.
. Semanitcs and Earth Science Markup Language. Earth Science Technology Conference. 2003 .
. Create Collaboratories for Earth Science using Talkoot. [Internet]. 2012 . Available from: https://www.itsc.uah.edu/sites/default/files/ESIPmeeting2012_Talkoot_poster.jpg
. An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams. NASA Science Technology Conference. 2007 .
. Coupling Ontology with Earth Science Markup Language for Scientific Dataset Description. Geological Society of America Meeting. 2003 .
. Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences. Bulletin of the American Meteorological Society. 2005 .
. WxGuru: An ontology driven chatbot prototype for Atmospheric Science Outreach and Education. In: Geoinformatics 2007 Conference. Geoinformatics 2007 Conference. San Diego, CA; 2007.
. Data Prospecting–A Step Towards Data Intensive Science. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 ;6(3):1233-1241.
. Talkoot Software Appliance for Collaborative Science. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa; 2009.
. Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets. NASA Earth Science Technology Conference. 2001 .
. Using ESML in a Semantic Web Approach for Improved Earth Science Data Usability. SCISW2003 Workshop. 2003 .
. Mining Earth Science Data. 8th International Symposium on Remote Sensing of Environment. 2000 .
. Talkoot: Software Tool to Create Collaboratories for Earth Science. Earth Science Informatics. 2012 ;5(1).
. Estimating Ice Water Content Using Observed Lightning. International Conference on Atmospheric Electricity. 1996 .
. Data Mining: Atmospheric Science Case Study. In: NASA Workshop on Issues in the Application of Data Mining to Scientific Data. NASA Workshop on Issues in the Application of Data Mining to Scientific Data. University of Alabama in Huntsville, Huntsville, AL; 1999.
. A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. IEEE International Geoscience & Remote Sensing Symposium (IGARSS '06) and 27th Canadian Symposium Remote Sensing. 2006 ;1:5-8.
. Polaris: A Discovery Engine for Big Data. IGARSS. 2013 .
. An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams. AMS Annual Meeting. 2007 .
. Coupling Data Mining with Cellular Automata to Model Dynamic Phenomena. Huntsville Simulation Conference. 2003 .
. PEA: Phenomena Extraction Algorithm. In: 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. Atlanta, GA; 2006.
. GLIDER: Free Tool Imagery Data Visualization, Analysis and Mining. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2009. Available from: http://adsabs.harvard.edu/abs/2009AGUFMIN51C.07R
. ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm. In: Data Mining Techniques in Grid Computing Environments. Data Mining Techniques in Grid Computing Environments. Wiley Publication; 2008.
. Mining Ensemble Model Data. Seventh Workshop on Mining Scientific and Engineering Datasets, SIAM International Conference on Data Mining. 2004 .
. PEA: Phenomena Extraction Algorithm. In: LEAD NSF Site Review. LEAD NSF Site Review. University of Illinois, Urbana Champaign; 2005.
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