Biodata

Education

University of Alabama in Huntsville Atmospheric Science Ph.D., 2002
University of Alabama in Huntsville Computer Science M.S., 1998
University of Alabama in Huntsville Atmospheric Science M.S., 1996
South Dakota School of Mines and Technology Meteorology M.S., 1994
Jamia Millia Islamia University, New Delhi Mechanical Engineering B.E., 1991

Experience

IMPACT Project Manager, NASA/MSFC, 2018- Present
DAAC Manager, AST Research Scientist, NASA/MSFC, 2013 - 2018
Principal Research Scientist III, University of Alabama in Huntsville, 2011- 2013
Team Lead, Earth Science Informatics, Sr. Spatial Systems Architect, Oak Ridge National Laboratory, 2010-2011
Research Scientist VI, University of Alabama in Huntsville, 2008- 2010
Research Scientist, University of Alabama in Huntsville, 2001-2008
Senior Research Associate, University of Alabama in Huntsville, 1998-2001

Awards

Presidential Early Career Award for Scientists and Engineers (PECASE), 2009
PECASE is the highest honor bestowed by the United States government on outstanding scientists and engineers in the early stages of their independent research careers.
NASA Exceptional Achievement Award, 2018

Appointments

Member Editorial Board, CODATA Data Science Journal (http://datascience.codata.org/) 2015- present
Chair, Earth Science Informatics Technical Committee, IEEE Geoscience & Remote Sensing Society, 2013-2015
Adjunct Professor, Department of Atmospheric Science, University of Alabama in Huntsville, 2012-2013
Deputy Editor, Earth Science Informatics, Springer-Verlag Publication (2007 – present)
Lecturer, Department of Atmospheric Science, University of Alabama in Huntsville, (2007 – 2010)
Member, Artificial Intelligence Applications to Environmental Science, American Meteorological Society Committee (2010 – 2013)
Affiliate member of Graduate Faculty, University of Alabama in Huntsville (2010 -2011)
Chair, Information Technology and Interoperability Committee, Federation of Earth Science Partners (ESIP) (2010-2011)

Professional Society Memberships

Institute of Electrical and Electronics Engineers (Elevation to IEEE Senior Member Grade in 2015)
IEEE Senior Membership is an honor bestowed only to those who have made significant contributions to the profession.
American Geophysical Union

Teaching Experience

Graduate and undergraduate level course in GIS and Remote Sensing (ATS/ESS 413/513), Department of Atmospheric Science, Earth Systems Science, University of Alabama in Huntsville, 2007-2008

Reviewer

Earth Science Informatics, Springer Verlag
Computers and Geosciences, Elsevier
Journal of Atmospheric and Oceanic Technology, AMS
IEEE Transaction on Geoscience and Remote Sensing, IEEE
IEEE Geoscience and Remote Sensing Letters, IEEE
Data Science Journal, CoDATA

Major Projects Managed

Interagency Implementation and Advanced Concepts Team (IMPACT) - program addresses these data needs through its focus on improving data acquisition, management, analysis, and exchange. IMPACT’s activities include:

Encouraging cross-community collaboration with other government agencies and organizations;
Promoting the integration of NASA’s Earth science data, services and tools into application workflows;
Monitoring trends across the informatics, data science and information technology fields; and
Developing new, effective solutions for Earth science data management and dissemination.

Global Hydrology Resource Center DAAC - GHRC serves as NASA’s Earth science data stewards for scientific, educational, commercial and governmental communities. It focuses on Weather Hazards and provides data and data services to NASA data users world wide. The GHRC also provides knowledge augmentation services encompassing tools, infrastructure, user support, and expertise to our stakeholders.

AMSR2 Data Processing – AMSR2 project is producing highly accurate, multi-decadal geophysical products derived from satellite microwave sensors. These products are suitable for some of the most demanding Earth research applications and are available via easy-to-use display and data access tools. Most of the products are generated in near real-time, so they also are suitable for some weather applications and field campaigns.

Analysis and Review of CMR (ARC) Project - a project focused on performing Quality Assurance /Quality Control on metadata records stored within NASA’s Earth science Common Metadata Repository (CMR). The CMR contains 6,398 data set collections and over 272 million granule level metadata records. The DSIG team will (1) identify issues in all of the collection level metadata records, (2) work with the data providers to fix any and all issues identified, (3) develop methods to automate quality assurance checks, and (4) develop processes to minimize detected issues in the future. This is an ongoing project expected to last approximately 2.5 years.

Cumulus Project – designed and developed a cloud-based data ingest, archive, and distribution system. This new system will usher a new paradigm for managing Earth Science data. This system aims to leverage the advantages of cloud computing, including collocation of data with compute, the ability to scale on demand, and lowering overall costs.

Dark Data Research Project - ESTO/AIST funded project developing algorithms to improve data discovery and exploration capabilities to substantially reduce the data preparation time. Key components developed as part of this project include:

Data Curation/Relevancy ranking algorithm developed as part of the Dark Data project has produced promising results. AIST PM has promised addition infusion funds to move this technology from research to operational systems.

Parameter Mapping Tool – utilizes the data curation algorithm developed as part of the AIST Dark Data project to check and suggest mappings of data set keywords to parameter level keywords stored in granule files.

Deep Learning based Image Retrieval – developed as part of AIST Dark Data project, this algorithm uses deep learning to find browse images containing interesting phenomena

Knowledge Graph - This project seeks to design and develop a “NASA Earth Science Knowledge Graph” to connect all the distributed disparate information objects in NASA’s Earth science enterprise. This project is developing methodology to build scalable graphs from unstructured resources like papers and reports.

Climate Data Initiative - The President’s Climate Action Plan and the Executive Order 13653, Preparing the United States for the Impacts of Climate Change, calls for the Federal Government to “…develop and provide authoritative, easily accessible, usable, and timely data, information, and decision-support tools on climate preparedness and resilience” to support Federal, regional, State, local, tribal, private-sector and nonprofit-sector efforts to prepare for the impacts of climate change. In response to this call, NASA and NOAA were asked to lead the Climate Data Initiative (CDI) and development of a Climate Resilience Toolkit (CRT). The CDI is focused on stimulating innovation among data innovators in the private sector and the general public who will use data to create and build information for end users. It also supports the broader Open Data Policy and integrates this effort with other Open Data Initiatives adding a new Climate.Data.gov with an online catalog of datasets and data products. I have been leading the Data Coordination Effort within the CDI project for NASA.

Big Earth Data Initiative (BEDI) – BEDI project is tasked to change DAAC’s infrastructure from a file-based system to an API based data system to improve data access efficiency thereby directly accelerating science.

NASA Google Partnership, DAAC to Cloud Data Transfer Effort – A key objective of this effort is to design new methods/techniques to transfer data to the cloud and to also investigate migrating DAAC data infrastructure to a common cloud-based framework to improve efficiency and spur new innovations. This effort resulted in a joint paper documenting best practices to address the data transfer issues.

Bioenergy Knowledge Discovery Framework (www.bioenergykdf.net) - Designed the architecture for the Department of Energy’s Bioenergy KDF. The portal was released to the public in 2011 was cited by then Energy Secretary Dr. Chu.

Book Chapters

Rahul Ramachandran, Kulkarni, A., Li, X., Sainju, R., Bakare, R., & Basyal, S. (2015). Use of Semantic Technology to Create Curated Data Albums. In P. Fox & T. Norack (Eds.), The Semantic Web in Earth and Space Science: Current Status and Future Directions. IOS Press.

Ramachandran, R., & Hankey-Underwood, D. (2014). Adapting Business Intelligence for Health Care. In Applied Clinical Informatics (pp. 133–151). Jones & Bartlett Learning.

Ramachandran, R., Graves, S., Rushing, J., Keiser, K., Maskey, M., Lin, H., & Conover, H. (2008). ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm. In W. Dubitsky (Ed.), Data Mining Techniques in Grid Computing Environments. Wiley Publication.

Ramachandran, R., Rushing, J., Li, X., Kamath, C., Conover, H., & Graves, S. (2006). Bird’s Eye View of Data Mining in Geosciences. In A.K.Sinha (Ed.), Geoinformatics: Data to Knowledge. Geological Society of America Special Paper 397.

Journal Publications

Bugbee, Kaylin, Rahul Ramachandran, Manil Maskey, P. G. (2017). The art and science of data curation: Lessons learned from constructing a virtual collection. Computers & Geosciences.

Maskey, M., Ramachandran, R., & Miller, J. J. (2017). Deep Learning for Phenomena-based Classification of Earth Science Images. Journal of Applied Remote Sensing.

Pradhan, Ritesh, Ramazan Aygun Manil Maskey, Rahul Ramachandran, D. C. (2017). Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural Network. IEEE Transactions on Computational Imaging, Special is.

Maskey, M., Ramachandran, R., Li, X., Weigel, A., Bugbee, K., Miller, J. J., & P. Gatlin. (2017). A Relevancy Algorithm for Curating Earth Science Data around Phenomenon. Computers and Geosciences.

Miller, J.J., Udaysankar Nair, Rahul Ramachandran, M. M. (2017). Detection of Transverse Cirrus Bands in Satellite Imagery Using Deep Learning. Computers & Geosciences.

Jia Zhang Yuanchen Bai, Tsengdar J. Lee, Rahul Ramachandran, Q. B. (2017). A Scalable Semantic Service Discovery Technique in Service Networks . Transactions on Services Computing (TSC).

Ramachandran, R., Bugbee, K., Tilmes, C., & Privette, A. P. (2016). Climate Data Initiative: A Geocuration Effort to Support Climate Resilience. Comput. Geosci., 88(C), 22–29. https://doi.org/10.1016/j.cageo.2015.12.002

Ramachandran, R., & Khalsa, S. J. S. (2015). Moving from Data to Knowledge: Challenges and Opportunities. IEEE Geoscience and Remote Sensing Magazine.

P. Yue, R. Ramachandran, P. B. (2015). Intelligent GIServices. Earth Science Informatics, 8(3).

Ramachandran, R., Kuo, K.-S., Maskey, M., & Lynnes, C. (2014). Collaborative Workbench for researchers - work smarter, not harder. IEEE Earthzine.

Kuo, K.-S., Clune, T., & Ramachandran, R. (2014). Earth Science Data Analysis in the Era of Big Data. IEEE Earthzine.

Khalsa, S. J. S., & Ramachandran, R. (2014, December). Earth Science Informatics Comes of Age. IEEE Geoscience and Remote Sensing Magazine, (January), 19–21.

Ramachandran, R., Rushing, J., Lin, A., Conover, H., Li, X., Graves, S., … Smith, D. K. (2013). Data Prospecting–A Step Towards Data Intensive Science. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1233–1241. https://doi.org/10.1109/JSTARS.2013.2248133

Conover, H., Ramachandran, R., Beaumont, B., Kulkarni, A., McEniry, M., Regner, K., & Graves, S. (2013). Introducing Provenance Capture into a Legacy Data System. IEEE Transactions on Geoscience and Remote Sensing, Special Issue on Geoscience Data Provenance, 99, 1–8. https://doi.org/10.1109/TGRS.2013.2266929

Kuo, K.-S., Lynnes, C. S., & Ramachandran, R. (2012). A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(6), 1612–1616. https://doi.org/10.1109/JSTARS.2012.2199086

Ramachandran, R., Movva, S., Maskey, M., Kulkarni, A., & Conover, H. (2012). Talkoot: Drupal Extensions to Create Online Collaborative Portals for Earth Science. Earth Science Informatics.

Lazarus, S. M., Splitt, M. E., Ramachandran, R., Li, X., Movva, S., & Graves, S. (2010). Evaluation of Data Reduction Algorithms for Real-time assimilation and analysis. Weather Analysis and Forecasting, 25, 837–851.

Li, X., Plale, B., Vijayakumar, N., Ramachandran, R., Graves, S., & Conover, H. (2008). Real-time Storm Detection and Weather Forecast Activation through Data Mining and Events Processing. Earth Science Informatics.

Tan, A., & Ramachandran, R. (2007). Analytical Solution for number densities in the Homosphere. Mathematics Education, 41(1).

Tan, A., & Ramachandran, R. (2006). Ranking the greatest all-rounders in Test Cricket. The Journal of the Cricket Society, 22(4), 7–10.

Bhatnagar, V., Tan, A., & Ramachandran, R. (2006). On the response of the exoxpheric temperature to the auroral heating impulse during geomagnetic storms. Journal of Atmospheric and Terrestrial Physics, 68, 1237–1244.

Tan, A., Ramachandran, R., & Zhang, T. X. (2006). Cluster Analysis and the Planetary Status of Pluto. Mathematical Spectrum, 39.

Tan, A., & Ramachandran, R. (2005). Velocity Pertubations Analysis of the Spot 1 Ariane Rocket Fragmentation. Journal of the Astronautical Science, 53(1), 39–50.

Movva, S., Ramachandran, R., Li, X., Khaire, S., Keiser, K., Conover, H., & Graves, S. (2005). Syntactic and Semantic Metadata Integration for Science Data Use. Computers & Geosciences, 31(9), 1079–1200.

Tan, A., Ramachandran, R., & Sheng, W. (2005). Progression of Scores and Averages in Test Cricket. Mathematical Spectrum, 38(1), 21–28.

Ramachandran, R., Christopher, S. A., Movva, S., Li, X., Conover, H., Keiser, K., … McNider, R. (2005). Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences. Bulletin of the American Meteorological Society.

Rushing, J., Ramachandran, R., Nair, U., Graves, S., Welch, R., & Lin, A. (2005). ADaM: A Data Mining Toolkit for Scientists and Engineers. Computers & Geosciences, 31(5), 607–618.

Droegemeier, K. K., Gannon, D., Reed, D., Plale, B., Alameda, J., Baltzer, T., … Yalda, S. (2005). Service-Oriented Environments in Research and Education for Dynamically Interacting with Mesoscale Weather. IEEE Computing in Science & Engineering, 7(6), 24–32.

Ramachandran, R., Graves, S., Conover, H., & Moe, K. (2004). Earth Science Markup Language (ESML): a solution for scientific data-application interoperability problem. Computers & Geosciences, 30(1), 117–124. Retrieved from http://www.sciencedirect.com/science/article/B6V7D-4BF5TY9-2/2/430d6854b74d0499f30ce80b57d51966

Smith, P., Musil, D., Detwiler, A., & Ramachandran, R. (1999). Observations of Mixed-Phase Precipitation Within a CaPE Thunderstorm. Journal of Applied Meteorology.

Ramachandran, R., Detwiler, A., Helsdon, J., Bringi, V., & Smith, P. (1996). Precipitation Development and Electrification in Florida Thunderstorms During Convection and Precipitation/Electrification Project. Journal of Geophysical Research.

Peer Reviewed Conference Publications

Ramachandran, R., Baynes, K., Murphy, K., Jazayeri, A., Shuler, I., & Pilone, D. (2017). Cumulus: NASA’S Cloud Based Distributed Active Archive Center Prototype. In IEEE Geoscience and Remote Sensing Symposium. Fort Worth, Texaz.

Duan, X., Zhang, J., Bao, Q., Ramachandran, R., Lee, T. J., Lee, S., & Pan, L. (2017). Linking Design-Time and Run-Time: A Graph-based Uniform Workflow Provenance Model. In The 24th IEEE International Conference on Web Services (ICWS) (pp. 97–105). Honolulu, HI, USA: IEEE.

Ramachandran, R., Maskey, M., Li, X., & Bugbee, K. (2016). EXPLOITING DARK INFORMATION RESOURCES TO CREATE NEW VALUE ADDED SERVICES to STUDY EARTH SCIENCE PHENOMENA. In IEEE Geoscience and Remote Sensing Symposium. Beijing, China.

Kuo, K.-S., Fekete, G., Oloso, A., Bauer, M., Ramirez-Linan, R., Rushing, J., … Ramachandran, R. (2015). Advances in Automated Services. In IEEE Geoscience and Remote Sensing Symposium. Milan, Italy: IEEE.

Tilmes, C., Privette, A. P., Chen, J., & Ramachandran, R. (2015). Linking from Observations to data to actionable science in the Climate Data Initiative. In IEEE (Ed.), IEEE Geoscience and Remote Sensing Symposium. Milan, Italy.

Ramachandran, R., Kulkarni, A., Maskey, M., Bakare, R., Basyal, S., & Li, X. (2014). DATA ALBUMS : AN EVENT DRIVEN SEARCH , AGGREGATION AND CURATION TOOL FOR EARTH SCIENCE. In IEEE Geoscience and Remote Sensing Society 2014. Quebec City, Canada.

Khalsa, S. J. S., & Ramachandran, R. (2014). Geospatial Standards and the Knowledge Generation Lifecycle. In IEEE Geoscience and Remote Sensing Society 2014. Quebec City, Canada.

Kuo, K.-S., Oloso, A., Rushing, J., Lin, A., Gyorgy, F., Ramachandran, R., … Duffy, D. (2014). Identifying Episodes of Earth Science Phenomena Using a Big-Data Technology. In IEEE Geoscience and Remote Sensing Society 2014.

Conover, H., Ramachandran, R., Regner, K., McEniry, M., Beaumont, B., Graves, S., & Goodman, M. (2013). Provenance Capture and Representation in a NASA Earth Science Data System. In IEEE Geoscience and Remote Sensing Symposium. Melbourne, Australia.

Ramachandran, R., Rushing, J., Lin, A., Kuo, K.-S., & Clune, T. (2013). Polaris: A Discovery Engine for Big Data. In IEEE International Geoscience & Remote Sensing Symposium. Melbourne, Australia.

Rushing, J., Ramachandran, R., Li, X., Maskey, M., Kulkarni, A., Lin, A., & Kuo, K.-S. (2012). Visual Data Exploration Environment for Data Intensive Science. In IEEE Geoscience and Remote Sensing Symposium. Munich.

Kuo, K.-S., Lynnes, C., & Ramachandran, R. (2011). A Proposed Earth Science Collaboratory For Remote Sensing Data Analysis. IEEE International Geoscience and Remote Sensing Symposium. Vancouver, Canada.

Wilson, B., Manipon, G., & Ramachandran, R. (2010). Lightweight Advertising and Scalable Discovery of Services, Datasets, and Events Using Feedcasts and Social Tagging. In IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI.

Ramachandran, R., Movva, S., Nair, U. S., Lynnes, C., & Fox, P. (2010). Mining as a Service. In IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI: IEEE.

Ramachandran, R., Wilson, B., Lynnes, C., Conover, H., & Movva, S. (2010). Emergent Science - a new way forward? In IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI.

Ramachandran, R., Graves, S., Berendes, T., Maskey, M., Chidambaram, C., Christopher, S., & Hogan, P. (2009). GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery. In IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa.

Ramachandran, R., Movva, S., Conover, H., & Lynnes, C. (2009). Talkoot Software Appliance for Collaborative Science. In IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa.

Zavodsky, B., Lazarus, S., Li, X., Lueken, M., Splitt, M., Ramachandran, R., … Lapenta, W. (2008). Intelligent Data Thinning Algorithms for Satellite Imagery. In IEEE International Geoscience & Remote Sensing Symposium. Boston, Massachusetts.

Plale, B., Herath, C., & Ramachandran, R. (2008). A Suitable Programming Model for e-Science Workflows? In 2nd International Conference on Distributed Event-Based Systems (DEBS 08). Rome, Italy.

Graves, S., Ramachandran, R., Maskey, M., Keiser, K., Lynnes, C., & Pham, L. (2008). Mining Scientific Data using Internet as the Computer. In IEEE International Geoscience & Remote Sensing Symposium. Boston, Massachusetts.

Movva, S., Ramachandran, R., Graves, S., & Conover, H. (2008). Customizable Search Engine with Semantic and Resource Aggregation Capability. In The Semantic Web meets the Deep Web Workshop, IEEE Joint Conference on E-Commerce Technology and Enterprise Computing, E-Commerce and E-Services . Washington DC.

Ramachandran, R., Li, X., Movva, S., & Graves, S. (2006). A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. In IEEE International Geoscience and Remote Sensing Symposium and 27th Canadian Symposium Remote Sensing. Denver, Colorado.

Vijayakumar, N., Plale, B., Ramachandran, R., & Li, X. (2006). Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. In IEEE International Geoscience and Remote Sensing Symposium and 27th Canadian Symposium Remote Sensing. Denver, Colorado.

Li, X., Ramachandran, R., Graves, S., Movva, S., Akkiraju, B., Emmitt, D., … Jusem, J. C. (2005). Automated detection of frontal systems from numerical model-generated data. In The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-05). Chicago, IL, USA.

Ramachandran, R., Li, X., Movva, S., Rushing, J., Tanner, S., Graves, S., … Wilhelmson, R. (2004). Mining Ensemble Model Data. In Seventh Workshop on Mining Scientific and Engineering Datasets, SIAM International Conference on Data Mining. Lake Buena Vista, Florida.

Ramachandran, R., Graves, S., Movva, S., & Li, X. (2004). Agent Framework for Intelligent Data Processing. In IEEE International Geoscience and Remote Sensing Symposium. Anchorage, Alaska.

Li, X., Ramachandran, R., Movva, S., Graves, S., Germany, G., Lyatsky, W., & Tan, A. (2004). Dayglow removal from FUV Auroral Images. In IEEE International Geoscience and Remote Sensing Symposium. Anchorage, Alaska: IEEE.

Ramachandran, R., Conover, H., Movva, S., & Graves, S. (2003). Using ESML in a Semantic Web Approach for Improved Earth Science Data Usability. In Semantic Web. Sannibel, FL.

He, Y., Ramachandran, R., Nair, U. S., Keiser, K., Conover, H., & Graves, S. J. (2002). Earth Science Data Mining and Knowledge Discovery Framework. In SIAM International Conference on Data Mining. Arlington, VA.

Ramachandran, R., Alshayeb, M., Beaumont, B., Conover, H., Graves, S., Li, X., … Smith, M. (2002). Interchange Technology for Applications to facilitate generic access to heterogeneous data formats. In IEEE International Geoscience and Remote Sensing Symposium and the 24th Canadian Symposium on Remote Sensing. Toronto, Canada.

Ramachandran, R., Nair, U., Tanner, S., Welch, R., & Rushing, J. (2001). Comparing Texture Feature Characterization Methods for Cumulus Cloud Classification in GOES Images. In Third Workshop on Mining Scientific Datasets held in conjunction with the First SIAM conference on Data Mining. Chicago,IL.

Ramachandran, R., Conover, H., Graves, S. J., Keiser, K., Movva, S., & Tanner, S. (2001). Flexible Earth Science Data Mining Architecture. In Fourth Workshop on Mining Scientific Datasets, Seventh ACM SigKDD International Conference on Knowledge Discovery and Data Mining. San Francisco, CA.

Other Publications

Lee, T., Zhang, J., & Ramachandran, R. (2018). The Construction of an Earth Science Knowledge Network. In American Meteorological Society Annual Meeting. Austin Texas.

Bugbee, K., Dixon, V., Baynes, K., Shum, D., Roux, J. le, & Ramachandran, R. (2017). A Window to the World: Lessons Learned from NASA’s Collaborative Metadata Curation Effort. In American Geophysical Union Fall Meeting. New Orleans, LA.

Sisco, A., Bugbee, K., Shum, D., Baynes, K., Dixon, V., & Ramachandran, R. (2017). Improving Access to NASA Earth Science Data through Collaborative Metadata Curation. In American Geophysical Union Fall Meeting. New Orleans, LA.

Weigel, A., Bugbee, K., Smith, D., Conover, H., & Ramachandran, R. (2017). Stimulating Remote Sensing Education through Knowledge Augmentation Services. In American Meteorological Society Annual Meeting. Seattle, WA.

Zhang, J., Bao, Q., Lee, T., Ramachandran, R., Lee, S., Pan, L., … Maskey, M. (2017). A Fine-Grained API Link Prediction Approach Supporting CMDA Mashup Recommendation. In American Geophysical Union Fall Meeting. New Orleans, LA.

Ramachandran, R., Maskey, M., Gatlin, P., Zhang, J., Duan, X., Bugbee, K., & Christopher, S. A. (2017). Building Scalable Knowledge Graphs for Earth Science. In American Geophysical Union Fall Meeting. New Orleans, LA.

Duan, X., Zhang, J., Ramachandran, R., Lee, T., Bao, Q., Gatlin, P., & Maskey, M. (2017). An Expert System toward Buiding An Earth Science Knowledge Graph. In American Geophysical Union Fall Meeting. New Orleans, LA.

Lehnert, K., Parsons, M., Ramachandran, R., & Narock, T. (2017). Panel Discussion on state of the art and perspectives in network theory and linked data in the earth sciences. In American Geophysical Union Fall Meeting. New Orleans, LA.

Weigel, A., Smith, D., Bugbee, K., Conover, H., & Ramachandran, R. (2017). Visualize, Discover, and Analyze: A Data Center’s Innovative Services for Addressing Observing System Challenges. In American Meteorological Society Annual Meeting. Seatle, WA.

Pullman, M., Gurung, I., Ramachandran, R., & Maskey, M. (2017). Detection and Prediction of Hail Storms in Satellite Imagery using Deep Learning. In American Geophysical Union Fall Meeting. New Orleans, LA.

Maskey, M., Ramachandran, R., & Miller, J. J. (2017). Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications. In American Geophysical Union Fall Meeting. New Orleans, LA.

Weigel, A., Smith, D. K., Bugbee, K., Conover, H., & Ramachandran, R. (2017). Visualize, Discover, and Analyze: A Data Center’s Innovative Services for Addressing Observing System Challenges. In American Meteorological Society Annual Meeting. Seatle, WA: AMS.

Pilone, D., Quinn, P., Jazayeri, A., Shuler, I., Plofchan, P., Baynes, K., & Ramachandran, R. (2017). Exploiting NASA’s Cumulus Earth Science Cloud Archive with Services and Computation. In American Geophysical Union Fall Meeting. New Orleans, LA.

Vannan, S. K. S., Ramachandran, R., Deb, D., Beaty, T., & Wright, D. (2017). Experiences and lessons learned from creating a generalized workflow for data publication of field campaign datasets. In American Geophysical Union Fall Meeting. New Orleans, LA.

Weigel, A., Bugbee, K., Smith, D. K., Conover, H., & Ramachandran, R. (2017). Stimulating Remote Sensing Education through Knowledge Augmentation Services. In American Meteorological Society Annual Meeting. Seatle, WA.

Jia Zhang Yuanchen Bai, Tsengdar J. Lee, Rahul Ramachandran, Q. B. (2017). A Scalable Semantic Service Discovery Technique in Service Networks . Transactions on Services Computing (TSC).

Shi, R., Zhang, J., Bao, Q., Lee, T., & Ramachandran, R. (2016). A Bloom Filter-Powered Technique Supporting Scalable Semantic Discovery in Data Service Networks. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Ramachandran, R., Maskey, M., & Bugbee, K. (2016). Mining dark information resources to develop new informatics capabilities to support science. In European Geosicences Union General Assembly. Vienna, Austria.

Bugbee, K., Ramachandran, R., Maskey, M., Gatlin, P., & Weigel, A. (2016). Making connections: Where STEM learning and Earth science data services meet. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Amirazodi, S., Griffin, R., Bugbee, K., Ramachandran, R., & Weigel, A. (2016). Climate Impact and GIS Education Using Realistic Applications of Data.gov Thematic Datasets in a Structured Lesson-Based Workbook. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Privette, A. P., Meyer, D., Bugbee, K., & Ramachandran, R. (2016). Harmonizing Access to Federal Data – Lessons Learned Through the Climate Data Initiative. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Lee, T., Zhang, J., Ramachandran, R., Shi, R., Bao, Q., Gatlin, P., … Miller, J. J. (2016). Building Knowledge Graphs for NASA’s Earth Science Enterprise. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Bugbee, K., Ramachandran, R., Maskey, M., & Gatlin, P. (2016). Virtual Collections: An Earth Science Data Curation Service. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Ramachandran, R., Murphy, K., Baynes, K., & Lynnes, C. (2016). Public-Private Partnership: Joint recommendations to improve downloads of large Earth observation data. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Rahul Ramachandran, Zhang, J., Maskey, M., & Lee, T. (2016). Riding the Hype Wave: Evaluating new AI Techniques for their Applicability in Earth Science. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Weigel, A., Kulkarni, A., Maskey, M., Conover, H., & Ramachandran, R. (2016). Field Campaign Explorer: Simultaneous Data Exploration, Discovery, and Visualization. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Maskey, M., Rahul Ramachandran, Pradhan, R., & Miller, J. J. (2016). Deep Learning-Powered Insight from Dark Resources. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Prabhu, A., Zednik, S., Fox, P., Ramachandran, R., Maskey, M., Shie, C.-L., & Shen, S. (2016). A Rules-Based Service for Suggesting Visualizations to Analyze Earth Science Phenomena. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Kuo, K.-S., & Ramachandran, R. (2015). Interoperability Outlook in the Big Data Future. In American Geophysical Union Fall Meeting.

Tilmes, C., Ramachandran, R., Bloggett, D., & Bugbee, K. (2015). Linking Climate Resources for Community Resilience. In American Geophysical Union Fall Meeting.

Kuo, K.-S., & Ramachandran, R. (2015). What is the fuss about Big Data. In European Geosicences Union General Assembly. Vienna, Austria.

Molthan, A., Burks, J., McGrath, K., Ramachandran, R., & Goodman, H. M. (2015). Challenges and Opportunities in Geocuration for Disaster Response. In American Geophysical Union Fall Meeting.

Ramachandran, R., Bugbee, K., Tilmes, C., & Privette, A. P. (2015). Geocuration lessons learned from the Climate Data Initiative project. In American Geophysical Union Fall Meeting.

Rahul Ramachandran, Fox, P., Kempler, S., & Maskey, M. (2015). Exploiting Untapped Information Resources in Earth Science. In American Geophysical Union Fall Meeting.

Ramachandran, R. (2015). Science, Illuminating the Darkness: Exploiting Untapped Data and Information Resources in Earth. In Earth Science Technology Conference. Pasadena, CA: NASA ESTO.

Maskey, M., Ramachandran, R., & Kuo, K.-S. (2015). Collaborative WorkBench (CWB): ENABLING EXPERIMENT EXECUTION, ANALYSIS AND VISUALIZATION WITH INCREASED SCIENTIFIC PRODUCTIVITY. In European Geosicences Union General Assembly. Vienna, Austria.

Maskey, M., Conover, H., Ramachandran, R., Kulkarni, A., McEniry, M., & Stone, B. (2015). HS3 Information System. In American Geophysical Union Fall Meeting.

Kuo, K., Seablom, M., Clune, T., & Ramachandran, R. (2014). Anticipated Changes in Conducting Scientific Data-Analysis Research in the Big-Data Era. In EGU General Assembly 2014 (Vol. 16, p. 2014). Vienna, Austria.

Ramachandran, R., Nair, U. S., & Word, A. (2014). Data-Intensive Science Meets Inquiry-Driven Pedagogy: Interactive Big Data Exploration, Threshold Concepts, and Liminality. In American Geophysical Union Meeting. San Francisco, CA.

Maskey, M., McEniry, M., Berendes, T., Bugbee, K., Conover, H., & Ramachandran, R. (2014). Data System for HS3 Airborne Field Campaign. In American Geophysical Union Meeting. San Francisco, CA.

Kuo, K.-S., Clune, T., Ramachandran, R., Rushing, J. A., Maskey, M., Gyorgy, F., … Doan, K. (2014). Integrating a Collaborative Infrastructure with a Big Data Technology to Boost Data-analysis Productivity. In American Geophysical Union Meeting. San Francisco, CA.

Riedel, M., Ramachandran, R., & Baumann, P. (2014). Research Data Alliance : Understanding Big Data Analytics Applications in Earth Science. In EGU General Assembly 2014 (Vol. 16). Vienna, Austria.

Ramachandran, R., Kulkarni, A., Maskey, M., Li, X., & Flynn, S. (2014). Aggregation Tool to Create Curated Data albums to Support Disaster Recovery and Response. In American Geophysical Union Meeting. San Francisco, CA.

Maskey, M., Ramachandran, R., Kuo, K.-S., Lynnes, C. S., Niamsuwan, N., & Chidambaram, C. (2014). Design of Scalable and Effective Earth Science Collaboration Tool. In American Geophysical Union Meeting. San Francisco, CA.

Ramachandran, R., Kulkarni, A., McEniry, M., Lin, A., Tanner, S., & Graves, S. (2013). Fostering national and international collaborations for Arctic Resources using a Virtual Collaboratory. 93rd AMS Annual Meeting. Austin Texas.

Ramachandran, R., Conover, H., McEniry, M., Kulkarni, A., Goodman, M., Zavodsky, B., … Wilson, B. (2012). Curated Data Albums for Earth Science Case Studies. ESIP Summer Meeting, ESIP Commons . Madison, WI.

Ramachandran, R. (2012). Data Prospecting – a new approach to address “big data” exploitation challenges in Earth Science? Innovators amongst Us - Lightning Talks, The Federation of Earth Science Information Partners (ESIP) Summer Meeting. Madison, WI.

Maskey, M., Ramachandran, R., & Graves, S. (2012). Combining Mining and Visualization to Advance Multidisciplinary Research. Visualization Technology Workshop, National Socio-Environmental Synthesis Center. Annapolis, MD.

Kulkarni, A., Ramachandran, R., Conover, H., Goodman, M., Zavodsky, B., Braun, S., & Wilson, B. (2012). Tool for constructing data albums for significant weather events. In to be presented at 2012 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., & Lin, A. (2012). Data Prospecting – a new approach to address “big data” exploitation challenges in Earth Science? 93rd AMS Annual Meeting. Austin Texas.

Ramachandran, R., Rushing, J., Lin, A., & Kuo, K.-S. (2012). Data Prospecting Framework – a new approach to explore “big data” in Earth Science. To Be Presented at 2012 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., Conover, H., McEniry, M., Kulkarni, A., Goodman, M., Zavodsky, B., … Wilson, B. (2012). Curated Data Albums for Hurricane Case Studies. 93rd AMS Annual Meeting. Austin Texas.

Ramachandran, R., Berendes, T., Maskey, M., & Graves, S. (2012). GLIDER: A tool built on open framework to visualize, analyze and mine satellite imagery. 93rd AMS Annual Meeting. Austin Texas.

Sainju, R., Ramachandran, R., Li, X., McEniry, M., Kulkarni, A., & Conover, H. (2012). Ontology-based Annotation and Ranking Service for Geoscience. To Be Presented at 2012 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., Graves, S., Baker, J., & Falke, S. (2012). Earth Cube Data Community Roadmap for Mining Services. To Be Presented at 2012 Fall Meeting, AGU. San Francisco, CA.

Kulkarni, A., Ramachandran, R., McEniry, M., Lin, A., Tanner, S., & Graves, S. (2012). Arctic Collaborative Environment (ACE). ESIP Summer Meeting 2012. ESIP Commons.

Conover, H., Plale, B., Aktas, M., Ramachandran, R., Purohit, P., Jensen, S., & Graves, S. J. (2011). Key Provenance of Earth Science Observational Data Products. Presented at 2011 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., & Maskey, M. (2011). Can you build an iPhone app without writing a single line of code? Presented at 2011 Fall Meeting, AGU. San Francisco, CA.

Lynnes, C., Silva, D. Da, Leptoukh, G. G., & Ramachandran, R. (2011). Reusable Social Networking Capabilities for an Earth Science Collaboratory. Presented at 2011 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., McEniry, M., & Maskey, M. (2011). Earth Science needs a tools market place! Presented at 2011 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R. (2010). Visualize and Analyze MODIS Imagery using GLIDER Tool. NASA Workshop: A Data/tools Workshop on GLIDER and HYDRA. National Central University, Taiwan.

Ramachandran, R., Conover, H., Regner, K., Movva, S., Goodman, M., Plale, B., … Sun, Y. (2010). Applying the Karma Provenance tool to NASA’s AMSR-E Data Production Stream. Presented at 2010 Fall Meeting, AGU. San Francisco, CA.

Wilson, B., Ramachandran, R., & Movva, S. (2010). Lightweight Advertising and Scalable Discovery of Services, Datasets, and Events Using Feedcasts. Presented at 2010 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., Graves, S., Berendes, T., Maskey, M., Chidambaram, C., & Christopher, S. (2010). Visualize, analyze and mine satellite imagery using GLIDER software tool. 90th AMS Annual Meeting. Atlanta, GA.

Maskey, M., Conover, H., Keiser, K., Ramachandran, R., & Graves, S. (2010). Global Hydrology Resource Center: A Foundation for Research Using Earth Observation Data. 61st International Astronautical Congress. Prague, Czech Republic.

Ramachandran, R., & Conover, H. (2010). Emergent Science: Accelerating the scientific process via simple collaborative interactions. In Geological Society of America Annual Meeting. Denver, CO.

Ramachandran, R., & Graves, S. (2009). Mining 3.0: Injecting Semantics into the Mining Process. Falls Creek Falls Conference. Chattanoga TN: Oak Ridge National Lab.

Graves, S., Ramachandran, R., Berendes, T., Maskey, M., Chidambaram, C., & Christopher, S. (2009). Visualize, Analyze and Mining Satellite Imagery Using GLIDER. Earth Science Data Systems Working Groups. Wilmington, Delaware: NASA.

Ramachandran, R., Conover, H., & Lynnes, C. (2009). Talkoot: Discover, Tag, Share, and Reuse Collaborative Science Workflows. ESIP Federation Summer Meeting. Santa Barbara, CA.

Berendes, T., Ramachandran, R., Graves, S. J., Maskey, M., Chidambaram, C., S. A. Christopher, S. A., & Hogan, P. (2009). Using GLIDER tool in Air Quality Studies. Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Graves, S. J., Berendes, T., Maskey, M., Chidambaram, C., Hogan, P., & Gaskin, T. (2009). GLIDER: Free tool imagery data visualization, analysis and mining. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco,CA.

Ramachandran, R., Wilson, B., & Lynnes, C. (2009). Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows. ESIP Federation Summer Meeting.

Graves, S., Ramachandran, R., Berendes, T., Maskey, M., Chidambram, C., Hogan, P., & Gaskin, T. (2009). GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery. ESIP Federation Summer Meeting. Santa Barbara, CA.

Lynnes, C., Ramachandran, R., Conover, H., Movva, S., & Wilson, B. (2009). Collaborative Workflows in Earth Science Data Mining. In International Symposium on Collaborative Technologies and Systems. Baltimore, MD.

Duvall, A., & Ramachandran, R. (2009). Intercomparison of candidate methods for mineral dust aerosol classification using MODIS infrared and visible channels. In 17th International Conference on Geoinformatics. Fairfax, VA.

Garg, V., Movva, S., Maskey, M., & Ramachandran, R. (2009). Extending a mass market tool to build collaborative portals in Geosciences. Cloud Computing and Collaborative Technologies in Geosciences. Indianapolis, IN.

Li, X., Ramachandran, R., Wilson, B. D., Lynnes, C., & Conover, H. (2009). Emergent Science: Solving complex science problems via collaborations. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco, CA.

Wilson, B., Ramachandran, R., & Lynnes, C. (2009). Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco, CA.

Movva, S., Ramachandran, R., Maskey, M., & Li, X. (2009). Building a Semantic Framework for e-Science. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco, CA.

Movva, S., Ramachandran, R., Maskey, M., & Garg, V. (2009). Extending a mass market tool to build collaborative portals in geosciences . Earth Science Data Systems Working Groups. Wilmington, Delaware: NASA.

Ramachandran, R., Graves, S., Berendes, T., Maskey, M., Chidambaram, C., Christopher, S., & Hogan, P. (2009). Visualize, Analyze and Mine Satellite Imagery Using a Single Tool. In 17th International Conference on Geoinformatics. Fairfax, VA.

Li, X., Ramachandran, R., Graves, S., Brewster, K., Lazarus, S., & Zavodsky, B. (2009). A novel approach to detect regions of phenomena from NAM model outputs. 89th AMS Annual Meeting. Phoenix, AZ: American Meteorological Society.

Chidambaram, C., Maskey, M., & Ramachandran, R. (2009). Service Oriented Architecture for Data Mining at Data Centers and Computing Centers. Cloud Computing and Collaborative Technologies in Geosciences. Indianapolis, IN.

Berendes, T., Ramachandran, R., Graves, S. J., Maskey, M., Chidambaram, C., Christopher, S. A., … Gaskin, T. (2009). Eos Trans. AGU, 90(52), Fall Meet. Suppl. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco,CA.

Ramachandran, R. (2009). Globally Leveraged Integrated Data Explorer for Research. ESIP Federation, Summer Meeting. ESIP Federation.

Pham, L. B., Lynnes, C. S., Hegde, M., Graves, S. J., Ramachandran, R., Maskey, M., & Keiser, K. (2008). Earth Science Mining Web Services. Eos Trans. AGU, 89(53), Fall Meet. Suppl. San Francisco, CA.

Li, X., Ramachandran, R., Movva, S., Graves, S., Plale, B., & Vijayakumar, N. (2008). Storm Clustering for Data-driven Weather Forecasting. In 88th AMS Annual Meeting. New Orleans, LA.

Gupta, H., Piasecki, M., Imam, B., Raskin, R., Ramachandran, R., & Baquero, G. M. (2008). Developing a Domain Ontology: the Case of Water Cycle and Hydrology. Eos Trans. AGU, 89(53), Fall Meet. Suppl. San Francisco, CA.

Splitt, M., Lazarus, S., Lueken, M., Ramachandran, R., Li, X., Movva, S., … Lapenta, W. (2008). An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams. In 88th AMS Annual Meeting. New Orleans, LA.

Graves, S., Ramachandran, R., Movva, S., Conover, H., Fox, P., & McGuinness, D. (2008). A Distributed Knowledge Extraction Framework Based on Semantic Web Services. In AISR NASA Investigator Workshop. College Park, MD: NASA.

Ramachandran, R., Maskey, M., Graves, S., & Hardin, D. (2008). A Semantic Approach for Knowledge Discovery to Help Mitigate Habitat Loss in the Gulf of Mexico. Eos Trans. AGU, 89(53), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Movva, S., & Hardin, D. (2007). The Application of Ontological Methods toward Coastal Restoration. Eos Trans. AGU, 88(52), Fall Meet. Suppl. San Francisco, CA.

Gannon, D., Plale, B., Christie, M., Marru, S., Kandaswamy, G., Fang, L., … Kim, I. H. (2007). The LEAD Science Portal Problem Solving Environment. In 87th AMS Annual Meeting. San Antonio, TX.

Movva, S., Ramachandran, R., Li, X., Cherukuri, P., & Graves, S. (2007). Customizing a Semantic Search Engine and Resource Aggregator for different Science Domains. In Geoinformatics. San Diego, CA.

Ramachandran, R., Li, X., Movva, S., Graves, S., Nair, U. S., & Lynnes, C. (2007). Investigating Data Mining Techniques to Detect Dust Storms in MODIS Imagery. In 32nd International Symposium on Remote Sensing of Environment. San Jose, Costa Rica.

Graves, S., Conover, H., Movva, S., Ramachandran, R., Fox, P., & McGuinness, D. L. (2007). Prototyping a knowledge integration framework to solve science problems. In Eos Trans. AGU, 88(52), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Movva, S., Li, X., Anantharam, P., & Graves, S. (2007). WxGuru: An ontology driven chatbot prototype for Atmospheric Science Outreach and Education. In Geoinformatics. San Diego, CA.

Graves, S., Ramachandran, R., Maskey, M., Keiser, K., Lynnes, C., & Pham, L. (2007). Solutions for Mining Distributed Scientific Data. In Fall American Geophysical Union Meeting. San Francisco, CA.

Ramachandran, R., Li, X., Movva, S., Graves, S., Zavodsky, B., Lazarus, S., … Lueken, M. (2007). An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams. In NASA Science Technology Conference. Adelphi, Maryland.

Graves, S., Ramachandran, R., Keiser, K., Maskey, M., Lynnes, C., & Pham, L. (2007). Deployable Suite of Data Mining Web Services for Online Science Data Repositories. In 87th AMS Annual Meeting. San Antonio, TX.

Plale, B., Vijayakumar, N., Ramachandran, R., Li, X., & Baltzer, T. (2007). Real time Filtering and Mining of NEXRAD Streams for Mesoscale Forecast and Prediction. In 87th AMS Annual Meeting. San Antonio, TX.

Lynnes, C., Pham, L., Graves, S., Ramachandran, R., Maskey, M., & Keiser, K. (2007). Solutions for Mining Distributed Scientific Data. Eos Trans. AGU, 88(52), Fall Meet. Suppl. San Francisco, CA.

Berendes, T., Ramachandran, R., Graves, S., & Rushing, J. (2007). ADaM-IVICS: A software tool to mine satellite data. In 87th AMS Annual Meeting. San Antonio, TX.

A.Tan, Zhang, T. X., Lyatskaya, S., Winebarger, A., & Ramachandran, R. (2007). Analytical Expressions for Temperature Profiles in Model Atmospheres. In Eos Trans. AGU, 88(52), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Movva, S., Li, X., Cherukuri, P., & Graves, S. (2006). Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science. In Eos Trans. AGU, 87(52), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Movva, S., & Graves, S. (2006). Ontology-based Semantic Search Tool for Atmospheric Science. In 22nd International Conference on Interactive Information Processing Systems (IIPS), AMS Annual Meeting. Atlanta, Georgia.

Ramachandran, R., Li, X., Graves, S., Clark, R. D., & Fitzgerald, D. (2006). PEA: Phenomena Extraction Algorithm. In 22nd International Conference on Interactive Information Processing Systems (IIPS), AMS Annual Meeting. Atlanta, Georgia.

Clark, R. D., Fitzgerald, D., Baltzer, T., Joseph, E., & Ramachandran, R. (2006). EarlyLEAD: A WRF ensemble demonstrating LEAD’s data mining capability. In 22nd International Conference on Interactive Information Processing Systems (IIPS), AMS Annual Meeting. Atlanta, Georgia.

Zavodsky, B. T., Lazarus, S. M., Ramachandran, R., & Li, X. (2006). The effects of data thinning on mesoscale analyses. In 18th Conference on Probablity and Statistics in the Atmospheric Sciences, AMS Annual Meeting. Atlanta, GA.

Ramachandran, R., Movva, S., Cherukuri, P., & Graves, S. (2006). Noesis: An Ontology-based Semantic Search Tool and Resource Aggregator. In Geoinformatics 2006. Reston, Virginia.

Graves, S., Ramachandran, R., Keiser, K., Maskey, M., Lynnes, C., & Pham, L. (2006). Data Mining Web Services for Science Data Repositories. In Eos Trans. AGU, 87(52), Fall Meet. Suppl. San Fransico, CA.

Plale, B., Ramachandran, R., & Tanner, S. (2006). Capabilities of the LEAD Data Subsystem for Enhanced On-Demand Mesoscale Meteorology Research and Education. In 22nd International Conference on Interactive Information Processing Systems (IIPS), AMS Annual Meeting. Atlanta, Georgia.

Braverman, A., Dobinson, E., Graves, S. J., Burl, M. C., Castano, B., Hinke, T., … Ramachandran, R. (2006). 2nd NASA Data Mining Workshop: Issues and Applications in Earth Science. Pasadena, CA: NASA. Retrieved from http://datamining.itsc.uah.edu/meeting06/docs/2nd_NASA_Data_Mining_D694F.pdf

Ramachandran, R., Graves, S., & Raskin, R. (2006). Ontology Re-engineering Use Case: Extending SWEET to Map Climate and Forecasting Vocabulary Terms. In Geoinformatics 2006. Reston, Virginia.

Ramachandran, R., Li, X., Movva, S., Graves, S., Greco, S., Emmitt, D., … Atlas, R. (2005). Intelligent Data Thinning Algorithm for Earth System Numerical Model Research and Application. In 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, AMS Annual Meeting. San Diego, CA.

Ramachandran, R., & Movva, S. (2005). An Ontology Service for Linked Environments for Atmospheric Discovery (LEAD). Eos Trans. AGU, 86(52), Fall Meet. Suppl. San Francisco, CA.

Bhatnagar, V. P., Tan, A., & Ramachandran, R. (2005). On the Response of the Exospheric Temperature to the Auroral Heating Impulse during Geomagnetic Disturbances. In IAGA 2005 Conference. Toulouse, France.

Droegemeier, K., Chandrasekar, V., Clark, R. D., Gannon, D., Graves, S., Joseph, E., … Yalda, S. (2005). Linked Environments for Atmospheric Discovery (LEAD): Architecture, Technology Road Map and Deployment Strategy. In Joint Session on Cyberinfrastructure to support atmospheric and Oceanic Education: Examples and strategies, AMS Annual Meeting. San Diego CA.

Droegemeier, K., Chandrasekar, V., Clark, R. D., Gannon, D., Graves, S., Joseph, E., … Yalda, S. (2005). The National Forum for Geosciences Information Technology (“FIGIT”). In Joint Session on Cyberinfrastructure to support atmospheric and Oceanic Education: Examples and strategies, AMS Annual Meeting. San Diego, CA.

Droegemeier, K., Chandrasekar, V., Clark, R., Gannon, D., Graves, S., Joseph, E., … Yalda, S. (2004). Linked Environment for Atmospheric Discovery (LEAD): A Cyberinfrastructure for Mesocyclone Meteorology Research and Education. In Interactive Information and Processing Systems (IIPS). AMS Annual Meeting. Seattle, WA.

Conover, H., Nelson, B., Rutledge, G., Bates, J., Keiser, K., Ramachandran, R., & Govett., M. (2004). A Prototype for Earth Science Data on Demand. In Eos Trans. AGU, 85(47), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R., Conover, H., Keiser, K., Movva, S., & Graves, S. (2004). A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science. In Eos Trans. AGU, 85(47), Fall Meet. Suppl. San Fransisco, CA.

Movva, S., Ramachandran, R., Li, X., Khaire, S., Keiser, K., Conover, H., & Graves, S. (2004). MIDAS: An Agent Based Data Transcoding Services Framework. In Earth Science Technology Conference. Palo Alto, California.

Li, X., Ramachandran, R., Rushing, J., Graves, S., Kelleher, K., Lakshmivarahan, S., … Jason, L. (2004). Mining NEXRAD Radar Data: An Investigative Study. In Interactive Information and Processing Systems (IIPS), AMS Annual Meeting. Seattle, WA: American Meteorological Society.

Tanner, S., Conover, H., Graves, S., Ramachandran, R., & Rushing, J. (2004). On-Board Mining in the Sensor Web. In Eos Trans. AGU, 85(47), Fall Meet. Suppl. San Fransisco, CA.

Tan, A., & Ramachandran, R. (2004). Evidence of Satellite Fragmentation by Orbital Debris. In 76th Annual National Conference and Technical Career & Opportunity Fair, National Technical Association. Tuskegee, AL.

Li, X., Ramachandran, R., He, M., Movva, S., Rushing, J., & Graves, S. (2004). Comparing Different Thresholding Algorithms for Segmenting Auroras. In Space Science Computation and IT Applications , International Conference on Information Technology. Las Vegas, NV.

Tan, A., Zhang, X., Lyatsky, W., Wu, S. T., Germany, G., & Ramachandran, R. (2004). Analytical Solutions for Number Densities in the Homosphere. In Eos Trans. AGU, 85(17), Jt. Assem. Suppl.

Ramachandran, R., Movva, S., & Graves, S. (2003). Coupling Ontology with Earth Science Markup Language for Scientific Dataset Description. In Geological Society of America Meeting. Seattle, WA.

Ramachandran, R., Criswell, E., Movva, S., Rushing, J., & Graves, S. (2003). Coupling Data Mining with Cellular Automata to Model Dynamic Phenomena. In Huntsville Simulation Conference. Huntsville, AL.

Conover, H., Graves, S. J., Ramachandran, R., Redman, S., Rushing, J., & Tanner, S. (2003). New Technologies for Improving Earth Science Data Usability. Eos Trans. AGU, 84(46), Fall Meet. Suppl. San Francisco, CA.

Keiser, K., Ramachandran, R., Rushing, J., Conover, H., & Graves, S. J. (2003). Distributed Services Technology for Earth Science Data Processing. In 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, AMS Annual Meeting. Long Beach, CA.

Ramachandran, R., Conover, H., Graves, S. J., & Christopher, S. A. (2003). Earth Science Markup Language: A Solution to the Earth Science Data Format Heterogeneity Problem. In 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, AMS Annual Meeting. Long Beach, CA.

Ramachandran, R., Rushing, J., Conover, H., Graves, S. J., & Keiser, K. (2003). Flexible Framework for Mining Meteorological Data. In 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, AMS Annual Meeting. Long Beach, CA.

Graves, S., Li, X., Ramachandran, R., Lyatsky, W., & Tan, A. (2003). An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). In AISRP Program NASA. Pittsburg, PA.

Tanner, S., Conover, H., Graves, S. J., Keiser, K., Ramachandran, R., & Sandi Redman. (2002). A Framework for Sensor Data and Product Processing. In Workshop on Multi/Hyperspectral Technology and Applications. Redstone Arsenal, AL.

Ramachandran, R., Conover, H., Graves, S., & Keiser, K. (2002). Earth Science Markup Language: An update. In NASA Earth Science Technology Conference. Pasadena, CA.

He, M., Ramachandran, R., Li, X., Graves, S., Lystsky, W., Tan, A., & Germany, G. (2002). An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). In Eos Trans. AGU, 83(47), Fall Meet. Suppl. (Vol. 83 (47)). San Francisco, CA.

Tanner, S., Graves, S. J., Ramachandran, R., Alshayeb, M., Criswell, E., McDowell, A., … Regner, K. (2002). On-Board Mining in the Sensor Web. In NSF Data Mining Workshop. Baltimore, MD.

Ramachandran, R., Conover, H., & Graves, S. (2002). Earth Science Markup Language: An Overview. In Eos Trans. AGU, 83(47), Fall Meet. Suppl. (Vol. 83(47)). San Francisco, CA.

Benhke, J., & Ramachandran, R. (2002). ML: What’s Next for Earth Science? In NASA Science Data Processing Workshop. Greenbelt, MD.

Ramachandran, R., Alshayeb, M., Beaumont, B., Conover, H., Graves, S. J., Li, X., … Smith, M. (2001). Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets. In NASA Earth Science Technology Conference. College Park, MD.

Ramachandran, R., Alshayeb, M., Beaumont, B., Conover, H., Graves, S. J., Hanish, N., … Smith, M. (2001). Earth Science Markup Language. In 17th Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, AMS Annual Meeting. Albuquerque, NM.

Ramachandran, R., Conover, H., Graves, S. J., Keiser, K., & Smith, M. (2001). Innovative Technologies for Sciences Data Processing. In American Geophysical Union 2001 Spring Meeting. Boston, MA.

Ramachandran, R., Conover, H., Graves, S. J., & Keiser, K. (2000). Algorithm Development and Mining (ADaM) System for Earth Science Applications. In Second Conference on Artificial Intelligence, AMS Annual Meeting, Long Beach. Long Beach, CA: AMS.

Ramachandran, R., Conover, H., Graves, S. J., & Keiser, K. (2000). Mining Earth Science Data. In 8th International Symposium on Remote Sensing of Environment. Cape Town, South Africa.

Nair, U. S., Rushing, J., Ramachandran, R., Kuo, K.-S., Graves, S. J., & Welch, R. (1999). Detection of Cumulus Cloud Fields in Satellite Imagery. In The International Symposium on Optical Science, Engineering and Instrumentation. Denver,CO.

Conover, H., Graves, S. J., Keiser, K., Pearson, C., & Ramachandran, R. (1999). A Next Generation Information System for Earth Science Data. In SPIE’s 44th Annual Meeting and Exhibition, The International Symposium on Optical Science, Engineering and Instrumentation. Denver, CO.

Ramachandran, R., Conover, H., Graves, S. J., Keiser, K., & Rushing, J. (1999). The Role of Data Mining in Earth Science Data Interoperability. In ASPRS Annual Conference, Conference on Remote Sensing Education (CORSE), Education for the Next Millennium. Portland, Oregon.

Goodman, S. J., Ramachandran, R., & Buechler, D. (1998). Total Lightning and Radar Storm Characteristics Associated with Severe Storms in Central Florida. In 9th Conference on Severe Storms. Minneapolis, MN.

Ramachandran, R., Raghavan, R., & Goodman, S. J. (1996). Estimating Ice Water Content Using Observed Lightning. In International Conference on Atmospheric Electricity. , Osaka, Japan.

Smith, P., Detwiler, A., Musil, D., & R. Ramachandran. (1995). Observations of Mixed-phase Precipitation Within a CaPE Thunderstorm. In Conference on Cloud Physics. Dallas, TX.

Raghavan, R., Goodman, S., & Ramachandran, R. (1995). Retrieval of Cloud Properties Using Lightning Observations from Space. In American Geophysical Union Meeting. San Francisco, CA.

Ramachandran, R., & Detwiler, A. (1993). Study of Thunderstorm Electrification Using in-situ Aircraft Measurements. In South Dakota Academy of Science Conference. Rapid City, SD: South Dakota Academy of Science.

Funded Proposals

PI, Illuminating the Darkness: Exploiting Untapped Data and Information Resources in Earth Science, NASA/AIST, 2015-2016, $1,031,002

Co-I, DEREChOS: Data Environment for Rapid Exploration and Characterization of Organized Systems, NASA/AIST, 2015-2016, $1,350,00

PI, Collaborative Workbench to Accelerate Science Algorithm Development, NASA/CMAC, 2012-2014, $621,071

Co-I, Automated Event Service: Efficient and Flexible Searching for Earth Science Phenomena, NASA/AIST, 2012-2015, $1,245,242

PI, Workshops for Creating a Community Roadmap for EarthCube Services for Data Discovery, Mining and Access, NSF, 2012, $99,394

PI, Curated Data Albums for Earth Science Case Studies, NASA/ACCESS, 2012-2014, $716,892

Co-I, NASA Science on Drupal, NASA/ACCESS, 2012-2014, $400,712

Co-I, Research and Education Cyberinfrastructure Investments to Develop the Coastal Hazards Collaboratory in the Northern Gulf Coast, NSF/EPSCOR, $1,749,000, 2010 - 2013

Co-I, Lightweight Advertising and Scalable Discovery of Services, Datasets, and Events, NASA/ACCESS, 2010-2012, $161,931

Co-I, Instant Karma: Applying a Proven Provenance Tool to NASA’s AMSR-E Data Production Stream, NASA/ACCESS, 2010-2012, $300,000

PI, Smart Assistant for Earth Science Data Mining (SAM), NASA/ACCESS Grant, 2008-2010, $725,679

Co-I, Service Mashups for Mining and Analysis with World Wind (GLIDER), NASA/ACCESS, 2008-2010, $636,136

UAH Co-I, Linked Environments for Atmospheric Discovery (LEAD), NSF Large Information and Technology Research Grants, 2003-2008, $2,550,187

Co-I, Deployable Suite of Data Mining Web Services for Online Data Repositories, NASA/ACCESS, $451,000

Co-I, Mining NEXRAD Radar Data: An Investigative Study, National Climatic Data Center, NOAA, May-Sept, 2002, $20,000

Co-I, Interchange Technology for Enabling Data-Application Interoperability in Earth Science Data, Earth Science Technology Office, NASA, 2001-2002, $125,000

Co-I, ESML for Earth Science Data Sets and Analysis, Earth Science Technology Office, NASA, 2000-2001, $300,000

Invited Talks

Rahul Ramachandran, Fox, P., Kempler, S., & Maskey, M. (2015). Exploiting Untapped Information Resources in Earth Science. In American Geophysical Union Fall Meeting.

Ramachandran, R. (2013). The Evolving Data Lifecycle – Implications for Cyberinfrastructure and Domain Sciences. In Kavli Frontiers of Science Symposia.

Ramachandran, R. (2013). The Evolving Data Lifecycle – Implications for Cyberinfrastructure and Domain Sciences. In eResearch Australasia.

Ramachandran, R., Graves, S., Baker, J., & Falke, S. (2012). Earth Cube Data Community Roadmap for Mining Services. To Be Presented at 2012 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R., McEniry, M., & Maskey, M. (2011). Earth Science needs a tools market place! Presented at 2011 Fall Meeting, AGU. San Francisco, CA.

Ramachandran, R. (2010). Visualize and Analyze MODIS Imagery using GLIDER Tool. NASA Workshop: A Data/tools Workshop on GLIDER and HYDRA. National Central University, Taiwan.

Wilson, B., Ramachandran, R., & Lynnes, C. (2009). Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows. In Eos Trans. AGU, 90(52), Fall Meet. Suppl. San Francisco, CA.

Ramachandran, R. (2006). A hybrid object-based/pixel-based classification approach to detect geophysical phenomena. In 2nd NASA Data Mining Workshop. Pasadena, CA.

Ramachandran, R. (2002). Data mining in Earth Science. In Mathematical Challenges in Scientific Data Mining, Institute for Pure and Applied Mathematics. UCLA, LA, CA.

Ramachandran, R. (2002). ADaM System Architecture. In Mathematical Challenges in Scientific Data Mining, Institute for Pure and Applied Mathematics. UCLA, LA, CA.

Ramachandran, R. (2001). Earth Science Markup Language. In XML Workshop, Goddard Space Flight Center, NASA. Goddard, MD.

Ramachandran, R. (2001). Data Mining. In Project CRAFT Level II Data Stakeholder’s Workshop. Boulder, CO.

Ramachandran, R. (2001). Earth Science Markup Language. In OGC’s 39th Technical Committee and OGC Planning Committee Meeting WWW Mapping SIG.

Ramachandran, R. (2000). Passive Microwave - ESIP. In Data for Science and Society, The Second National Conference on Scientific and Technical Data, Sponsored by the U.S. National Committee for CODATA, National Research Council. Washington DC, USA.

Ramachandran, R. (1999). ADaM: Algorithm Development and Mining System. In Earth Observing System Investigators Working Group (IWG) Meeting. Vail, CO.

Ramachandran, R. (1999). Data mining: Atmospheric Science Case Studies. In NASA Workshop on Issues in the Application of Data Mining to Scientific Data. Huntsville, Alabama.

Ramachandran, R. (1999). Data Mining. In WSR-88D Workshop at National Climatic Data Center, Asheville, North Carolina. Asheville, NC.

Sessions Organized

Ramachandran, R., Evans, B., Fiore, S., & Wilson, B. (2017). Future Shock: Evolving Earth Science Data and Information Systems. In European Geosicences Union General Assembly. Vienna, Austria.

Shrestha, S., Ramachandran, R., & Maskey, M. (2016). Spatial Data Infrastructure for Earth and Space Sciences: Analyzing, Visualizing, and Sharing Multidimensional Earth Science. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Tilmes, C., Ramachandran, R., Bloggett, D., & Bugbee, K. (2015). Linking Climate Resources for Community Resilience. In American Geophysical Union Fall Meeting.

Kuo, K.-S., Ramachandran, R., Evans, B., & Little, Mi. (2015). Big Data in Earth Science: From Hype to Reality. In American Geophysical Union Fall Meeting.

Ramachandran, R., Bugbee, K., Lynnes, C., & Kempler, S. (2015). Geocuration: Issues, Challenges, and Opportunities Posters. In American Geophysical Union Fall Meeting.

Kuo, K.-S., Ramachandran, R., & Ho, S.-S. (2015). Impacts of Big Data Technology to Earth Science Data Analysis. In Asia Oceania Geosciences Society (AOGS). Singapore.

Kuo, K.-S., Riedel, M., & Ramachandran, R. (2015). Big Data for Earth Science - Challenges, Practices, and Opportunities. In European Geosicences Union General Assembly. Vienna, Austria.

Ramachandran, R., Khalsa, S. J. S., & Yue, P. (2015). Why Data Matters: Value of Stewardship and Knowledge Augmentation Services. In IEEE Geoscience and Remote Sensing Symposium. Milan, Italy.

Huang, T., Ramachandran, R., Crichton, D., & Riedel, M. (2014). Leveraging Enabling Technologies and Architectures to enable Data Intensive Science. In American Geophysical Union Meeting. San Francisco, CA.

Kuo, K.-S., Riedel, M., Kuo, K.-S., Ramachandran, R., & Baumann, P. (2014). Implications of Big Data to Earth Science Data Analysis. In European Geosicences Union General Assembly. Vienna, Austria.

Ramachandran, R. (2010). Collaborative Frameworks in Earth and Space Sciences I & II. In American Geophysical Union Fall Meeting. San Francisco, CA, USA.

Ramachandran, R. (2009). Emerging Issues in e-Science: Collaboration, Provenance, and the Ethics of Data. In American Geophysical Union Fall Meeting. San Francisco, California, USA.

Ramachandran, R. (2009). Collaborative portals for science workflows and remote sensing applications. In American Geophysical Union Fall Meeting. San Francisco, CA, USA.

Ramachandran, R. (2005). Intelligent and Adaptive Systems for Data Collection, Processing, and Knowledge Discovery II. In American Geophysical Union Fall Meeting. San Francisco, CA, USA.

Program Committee/Organizer

Ramachandran, R. (2004). HPDM: High Performance and Distributed Mining. In 7th International Workshop on High Performance and Distributed Mining in conjunction with Fourth International SIAM Conference on Data Mining.

Ramachandran, R. (2008). The Semantic Web meets the Deep Web Workshop. In IEEE Joint Conference on E-Commerce Technology and Enterprise Computing, E-Commerce and E-Services.

Ramachandran, R., Lynnes, C., Bingham, A., & Quam, B. (2018). Enabling Analytics in the Cloud for Earth Science Data. In NASA Workshop. Annapolis, MD: NASA.

Ramachandran, R. (2006). 2nd NASA Data Mining Workshop. In NASA Workshop.

Ramachandran, R. (2009). The Cloud Computing and Collaborative Technologies in the Geosciences Workshop. In NSF Workshop.

Open Source Software

Ramachandran, R., Maskey, M., & Zhang, J. (2017). pyCMR. NASA Open Source.

Ramachandran, R., Baynes, K., Shuler, I., Jazayeri, A., & Pilone, D. (2017). Cumulus: Cloud-based data ingest, archive, distribution, and management system. NASA Open Source.

Other Activities

Co-chair, Semantic Web Cluster, ESIP Federation, 2008 - present

Technical Committee, Geoinformatics 2007

Reviewer, Fifth International SIAM Conference on Data Mining 2005

Guest Co-editor for XML in Geosciences, Special Issue of Computers and Geosciences, 2005

Consultant

Caelum Research Corporation, 2009

Earth Science Information Partnership, 2010