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Dr. Rahul Ramachandran
E-mail: rahul.ramachandran@nasa.gov
Linkedin Page: https://www.linkedin.com/in/rramachandran05
Orc id: http://orcid.org/0000-0002-0647-1941
Earth Science Office (ZP11)
NASA / Marshall Space Flight Center
Huntsville, Alabama 35812, USA
(w) 256.961.7620
(c) 256.226.6854
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
DAAC Manager, AST Research, NASA/MSFC, 2013 - present
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.
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
IEEE Transaction on Geoscience and Remote Sensing
IEEE Geoscience and Remote Sensing Letters
Journal Publications
Publication Summary:
• 24 Journal Publications
• 3 Book Chapters
• 29 Refereed Conference Publications
• More than 120+ other Conference Publications
Research Impact:
• Rushing, John, Rahul Ramachandran, Udaysankar Nair, Sara Graves, Ron Welch, and Amy Lin. 2005.
“ADaM: A Data Mining Toolkit for Scientists and Engineers.” Computers & Geosciences 31 (5): 607–
618.
was the most cited article in Elsevier’s Computers and Geosciences Journal from 2005-2010.
• Ramachandran, Rahul, Sara Graves, Todd Berendes, Manil Maskey, C Chidambaram, S Christopher, and
Patrick Hogan. 2009. “GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine
Satellite Imagery.” In IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South
Africa.
GLIDER tool was the 2010 winner of NASA ESDSWG Software Reuse Award.
Bhatnagar, V, A Tan, and R Ramachandran. 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.

Conover, Helen, Rahul Ramachandran, Bruce Beaumont, Ajinkya Kulkarni, Michael McEniry, Kathryn
Regner, and Sara Graves. 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. doi:10.1109/TGRS.2013.2266929.
Droegemeier, Kelvin K, Dennis Gannon, Daniel Reed, Beth Plale, Jay Alameda, Tom Baltzer, Keith
Brewster, et al. 2005. “Service-Oriented Environments in Research and Education for Dynamically
Interacting with Mesoscale Weather.” IEEE Computing in Science & Engineering 7 (6): 24–32.
Khalsa, Siri Jodha S, and Rahul Ramachandran. 2014. “Earth Science Informatics Comes of Age.” IEEE
Geoscience and Remote Sensing Magazine, December.
Kuo, Kwo-Sen, Thomas Clune, and Rahul Ramachandran. 2014. “Earth Science Data Analysis in the Era
of Big Data.” IEEE Earthzine.
Kuo, Kwo-Sen, Christopher S Lynnes, and Rahul Ramachandran. 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. doi:10.1109/JSTARS.2012.2199086.
Lazarus, Steven M, Michael E Splitt, Rahul Ramachandran, Xiang Li, Sunil Movva, and Sara Graves.
2010. “Evaluation of Data Reduction Algorithms for Real-Time Assimilation and Analysis.”
Weather Analysis and Forecasting 25: 837–851.
Li, Xiang, Beth Plale, Nithya Vijayakumar, Rahul Ramachandran, Sara Graves, and Helen Conover. 2008.
“Real-Time Storm Detection and Weather Forecast Activation through Data Mining and Events
Processing.” Earth Science Informatics.
Movva, Sunil, Rahul Ramachandran, Xiang Li, Sarita Khaire, Ken Keiser, Helen Conover, and Sara
Graves. 2005. “Syntactic and Semantic Metadata Integration for Science Data Use.” Computers &
Geosciences 31 (9): 1079–1200.
Ramachandran, R, A Detwiler, J Helsdon, V Bringi, and P Smith. 1996. “Precipitation Development and
Electrification in Florida Thunderstorms During Convection and Precipitation/Electrification
Project.” Journal of Geophysical Research,.
Ramachandran, Rahul, Sundar A Christopher, Sunil Movva, Xiang Li, Helen Conover, Ken Keiser, Sara J
Graves, and Richard McNider. 2005. “Earth Science Markup Language: A Solution to Address Data
Format Heterogeneity Problems in Atmospheric Sciences.” Bulletin of the American Meteorological
Society.
Ramachandran, Rahul, Sara Graves, Helen Conover, and Karen Moe. 2004. “Earth Science Markup
Language (ESML): A Solution for Scientific Data-Application Interoperability Problem.”
Computers & Geosciences 30 (1): 117–124. http://www.sciencedirect.com/science/article/B6V7D-
4BF5TY9-2/2/430d6854b74d0499f30ce80b57d51966.
Ramachandran, Rahul, and Siri Jodha S. Khalsa. 2015. “Moving from Data to Knowledge: Challenges and
Opportunities.” IEEE Geoscience and Remote Sensing Magazine.
Ramachandran, Rahul, Kwo-Sen Kuo, Manil Maskey, and Christopher Lynnes. 2014. “Collaborative
Workbench for Researchers - Work Smarter, Not Harder.” IEEE Earthzine.
Ramachandran, Rahul, Sunil Movva, Manil Maskey, Ajinkya Kulkarni, and Helen Conover. 2012.
“Talkoot: Drupal Extensions to Create Online Collaborative Portals for Earth Science.” Earth
Science Informatics.

Ramachandran, Rahul, John Rushing, Amy Lin, Helen Conover, Xiang Li, Sara Graves, U. S. Nair, Kwo-
Sen Kuo, and Deborah K. Smith. 2013. “Data Prospecting–A Step Towards Data Intensive Science.”
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (3) (June):
1233–1241. doi:10.1109/JSTARS.2013.2248133.
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6524968.
Rushing, John, Rahul Ramachandran, Udaysankar Nair, Sara Graves, Ron Welch, and Amy Lin. 2005.
“ADaM: A Data Mining Toolkit for Scientists and Engineers.” Computers & Geosciences 31 (5):
607–618.
Smith, P, D Musil, A Detwiler, and Rahul Ramachandran. 1999. “Observations of Mixed-Phase
Precipitation Within a CaPE Thunderstorm.” Journal of Applied Meteorology.
Tan, A, R Ramachandran, and T X Zhang. 2006. “Cluster Analysis and the Planetary Status of Pluto.”
Mathematical Spectrum 39.
Tan, Arjun, and Rahul Ramachandran. 2005. “Velocity Pertubations Analysis of the Spot 1 Ariane Rocket
Fragmentation.” Journal of the Astronautical Science 53 (1): 39–50.
———. 2006. “Ranking the Greatest All-Rounders in Test Cricket.” The Journal of the Cricket Society
22 (4): 7–10.
———. 2007. “Analytical Solution for Number Densities in the Homosphere.” Mathematics Education 41
(1).
Tan, Arjun, Rahul Ramachandran, and W Sheng. 2005. “Progression of Scores and Averages in Test
Cricket.” Mathematical Spectrum 38 (1): 21–28.
Book Chapters
Rahul Ramachandran, Ajinkya Kulkarni, Xiang Li, Roshan Sainju, Rohan Bakare, and Sabin Basyal.
Submitted 2015. “Use of Semantic Technology to Create Curated Data Albums.” In The Semantic
Web in Earth and Space Science: Current Status and Future Directions, edited by Peter Fox and
Tom Norack. IOS Press.
Ramachandran, Rahul, Sara Graves, John Rushing, Ken Keiser, Manil Maskey, Hong Lin, and Helen
Conover. 2008. “ADaM Services: Scientific Data Mining in the Service Oriented Architecture
Paradigm.” In Data Mining Techniques in Grid Computing Environments, edited by Werner
Dubitsky. Wiley Publication.
Ramachandran, Rahul, and Diana Hankey-Underwood. 2014. “Adapting Business Intelligence for Health
Care.” In Applied Clinical Informatics, 133–151. Jones & Bartlett Learning.
Ramachandran, Rahul, John Rushing, Xiang Li, Chandrika Kamath, Helen Conover, and Sara Graves.
2006. “Bird’s Eye View of Data Mining in Geosciences.” In Geoinformatics: Data to Knowledge,
edited by A.K.Sinha. Geological Society of America Special Paper 397.
Peer Reviewed Conference Publications
Conover, Helen, Rahul Ramachandran, Kathryn Regner, Michael McEniry, Bruce Beaumont, Sara Graves,
and Michael Goodman. 2013. “Provenance Capture and Representation in a NASA Earth Science
Data System.” In IEEE Geoscience and Remote Sensing Symposium. Melbourne, Australia.

Graves, Sara, Rahul Ramachandran, Manil Maskey, Ken Keiser, Christopher Lynnes, and Long Pham.
2008. “Mining Scientific Data Using Internet as the Computer.” In IEEE International Geoscience &
Remote Sensing Symposium. Boston, Massachusetts.
He, Yubin, Rahul Ramachandran, Udaysankar S Nair, Ken Keiser, Helen Conover, and Sara J Graves.
2002. “Earth Science Data Mining and Knowledge Discovery Framework.” In SIAM International
Conference on Data Mining. Arlington, VA.
Khalsa, Siri Jodha S., and Rahul Ramachandran. 2014. “Geospatial Standards and the Knowledge
Generation Lifecycle.” In IEEE Geoscience and Remote Sensing Society 2014. Quebec City,
Canada.
Kuo, K.-S., Christopher Lynnes, and Rahul Ramachandran. 2011. “A Proposed Earth Science
Collaboratory For Remote Sensing Data Analysis.” IEEE International Geoscience and Remote
Sensing Symposium. Vancouver, Canada.
Kuo, Kwo-Sen, Gyorgy Fekete, Amidu Oloso, Mike Bauer, Ramon Ramirez-Linan, John Rushing, Tom
Clune, and Rahul Ramachandran. 2015. “Advances in Automated Services.” In IEEE Geoscience
and Remote Sensing Symposium. Milan, Italy: IEEE.
Kuo, Kwo-Sen, Amidu Oloso, John Rushing, Amy Lin, Fekete Gyorgy, Rahul Ramachandran, Thomas
Clune, and Daniel Duffy. 2014. “Identifying Episodes of Earth Science Phenomena Using a Big-Data
Technology.” In IEEE Geoscience and Remote Sensing Society 2014.
Li, X, Rahul Ramachandran, Sunil Movva, Sara Graves, Glynn Germany, W Lyatsky, and A Tan. 2004.
“Dayglow Removal from FUV Auroral Images.” In IEEE International Geoscience and Remote
Sensing Symposium. Anchorage, Alaska: IEEE.
Li, Xiang, Rahul Ramachandran, Sara Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven
Greco, Robert Atlas, Joe Terry, and Juan Carlos Jusem. 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.
Movva, Sunil, Rahul Ramachandran, Sara Graves, and Helen Conover. 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.
Plale, Beth, Chathura Herath, and Rahul Ramachandran. 2008. “A Suitable Programming Model for E-
Science Workflows?” In 2nd International Conference on Distributed Event-Based Systems (DEBS
08). Rome, Italy.
Ramachandran, R, S Movva, U S Nair, C Lynnes, and P Fox. 2010. “Mining as a Service.” In IEEE
International Geoscience & Remote Sensing Symposium. Honolulu, HI: IEEE.
Ramachandran, R, B Wilson, C Lynnes, H Conover, and S Movva. 2010. “Emergent Science - a New Way
Forward?” In IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI.
Ramachandran, Rahul, Mohammad Alshayeb, Bruce Beaumont, Helen Conover, Sara Graves, Xiang Li,
Sunil Movva, and Matt Smith. 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, Rahul, Helen Conover, Sara J Graves, Ken Keiser, Sunil Movva, and Steve Tanner. 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.
Ramachandran, Rahul, Helen Conover, Sunil Movva, and Sara Graves. 2003. “Using ESML in a Semantic
Web Approach for Improved Earth Science Data Usability.” In Semantic Web. Sannibel, FL.
Ramachandran, Rahul, Sara Graves, Todd Berendes, Manil Maskey, C Chidambaram, S Christopher, and
Patrick Hogan. 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, Rahul, Sara Graves, Sunil Movva, and Xiang Li. 2004. “Agent Framework for Intelligent
Data Processing.” In IEEE International Geoscience and Remote Sensing Symposium. Anchorage,
Alaska.
Ramachandran, Rahul, Ajinkya Kulkarni, Manil Maskey, Rohan Bakare, Sabin Basyal, and Xiang Li.
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.
Ramachandran, Rahul, Xiang Li, Sunil Movva, and Sara Graves. 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.
Ramachandran, Rahul, Xiang Li, Sunil Movva, John Rushing, Steve Tanner, Sara Graves, Brian Jewett,
and Robert Wilhelmson. 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, Rahul, Sunil Movva, Helen Conover, and Chris Lynnes. 2009. “Talkoot Software
Appliance for Collaborative Science.” In IEEE International Geoscience & Remote Sensing
Symposium. Cape Town, South Africa.
Ramachandran, Rahul, Udaysankar Nair, Steve Tanner, Ron Welch, and John Rushing. 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, Rahul, John Rushing, Amy Lin, Kwo-Sen Kuo, and Thomas Clune. 2013. “Polaris: A
Discovery Engine for Big Data.” In IEEE International Geoscience & Remote Sensing Symposium.
Melbourne, Australia.
Rushing, John, Rahul Ramachandran, Xiang Li, Manil Maskey, Ajinkya Kulkarni, Amy Lin, and Kwo-Sen
Kuo. 2012. “Visual Data Exploration Environment for Data Intensive Science.” In IEEE Geoscience
and Remote Sensing Symposium. Munich.
Tilmes, Curt, Ana Pinheiro Privette, Jeffrey Chen, and Rahul Ramachandran. 2015. “Linking from
Observations to Data to Actionable Science in the Climate Data Initiative.” In IEEE Geoscience and
Remote Sensing Symposium, edited by IEEE. Milan, Italy.
Vijayakumar, Nithya, Beth Plale, Rahul Ramachandran, and Xiang Li. 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.

Wilson, Brian, Gerald Manipon, and Rahul Ramachandran. 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.
Zavodsky, Bradley, Steven Lazarus, Xiang Li, Mike Lueken, Michael Splitt, Rahul Ramachandran, Sunil
Movva, Sara Graves, and William Lapenta. 2008. “Intelligent Data Thinning Algorithms for Satellite
Imagery.” In IEEE International Geoscience & Remote Sensing Symposium. Boston, Massachusetts.
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
Major Projects Managed
Global Hydrology Resource Center DAAC (2013 – Present) - 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 (2013 – Present) – 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.
Climate Data Initiative (2013 – Present) - 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) (2014 – Present)– 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 (2015 – Present)– 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.
Bioenergy Knowledge Discovery Framework (www.bioenergykdf.net) (2010-2011) - 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.
Invited Talks and Workshops
“Exploiting Untapped Information Resources in Earth Science (Invited), Session – Data Ought Not Be in
the Darkness: They Should be Open, Accessible, Transparent and Reproducible I, AGU Fall Meeting,
2015

“The Evolving Data Lifecycle – Implications for Cyberinfrastructure and Domain Sciences” Key Note
address at eResearch Australasia 2013, Brisbane, Australia
http://conference.eresearch.edu.au/eres2013/featured-speakers-2013/
“The Evolving Data Lifecycle – Implications for Cyberinfrastructure and Domain Sciences” Kavli
Frontiers of Science Symposia (2013). The symposia, which are both national and international in
scope, enable emerging young scientific leaders to become acquainted with their counterparts in a
broad range of disciplines, and to stimulate long-term relationships with their
peers. (http://www.kavlifoundation.org/kavli-frontiers-science)
“Data Prospecting Framework - a new approach to explore “big data” in Earth Science (Invited)”, Session
- Advanced Methods for Pattern Recognition and Data Prospecting for Big Data ,AGU Fall
Meeting, 2012
“Earth Cube Data Community Roadmap for Mining Services (Invited)”, Session -
A Community Roadmap for Discovery, Access, and Mining of Geosciences Data, AGU Fall
Meeting, 2012
Earth Science needs a tools market place! (Invited), Session -Computational and Software Engineering
Challenges in Earth Science II, AGU Fall Meeting 2011
“Visualize and Analyze MODIS Imagery using GLIDER Tool”, NASA Workshop at National Taiwan
University, Taiwan, June, 2010
“Visualize and Analyze MODIS Imagery using GLIDER Tool”, NASA Workshop at National Central
University, Taiwan, June, 2010
“Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows (Invited)”, Session -
Emerging Issues in e-Science: Collaboration, Provenance, and the Ethics of Data II, AGU Fall
Meeting, 2009
“A hybrid object-based/pixel-based classification approach to detect geophysical phenomena”,
Presentation made at the 2nd NASA Data Mining Workshop, Pasadena, CA 2006
“Data mining in Earth Science”, Presentation made at the Mathematical Challenges in Scientific Data
Mining, Institute for Pure and Applied Mathematics, UCLA, January 14-18, 2002
“ADaM System Architecture” Presentation made at the Mathematical Challenges in Scientific Data
Mining, Institute for Pure and Applied Mathematics, UCLA, January 14-18, 2002
“Data Mining”, Presentation made at the Project CRAFT Level II Data Stakeholder’s Workshop,
Boulder, Colorado, February 14-16, 2001
“Earth Science Markup Language”, Presentation made at the OGC's 39th Technical Committee and OGC
Planning Committee Meeting WWW Mapping SIG, Columbia University, NY
"Passive Microwave - ESIP", Presentation made at the 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, March 13-14, 2000
“Earth Science Markup Language”, Presentation made at the XML Workshop, Goddard Space Flight
Center, NASA, MD, February 28, 2001

“Data mining: Atmospheric Science Case Studies”, Presentation made at the NASA Workshop on Issues
in the Application of Data Mining to Scientific Data, October 19 – 21, 1999.
"Data Mining", Presentation made at the WSR-88D Workshop at National Climatic Data Center,
Asheville, North Carolina, December 2-3, 1999.
"ADaM: Algorithm Development and Mining System", Presentation made at the Earth Observing System
Investigators Working Group (IWG) Meeting, Vail, CO, June 15-17, 1999
Other Activities
Session Organizer, Collaborative Frameworks in Earth and Space Sciences I & II, Fall Meeting AGU,
San Francisco, CA, 2010
Session Organizer, Emerging Issues in e-Science: Collaboration, Provenance, and the Ethics of Data, Fall
Meeting AGU, San Francisco, CA, 2009
Organizer and Co-host, The Cloud Computing and Collaborative Technologies in the Geosciences
Workshop, Indianapolis, IN, September 17-18, 2009
Session chair, Collaborative portals for science workflows and remote sensing applications, AGU Joint
Assembly, 2009
Co-chair, Semantic Web Cluster, ESIP Federation, 2008 - present
Program Committee, The Semantic Web meets the Deep Web Workshop, IEEE Joint Conference on E-
Commerce Technology and Enterprise Computing, E-Commerce and E-Services, 2008
Technical Committee, Geoinformatics 2007
Program Committee, 2nd NASA Data Mining Workshop, Pasadena, CA 2006
Reviewer, Fifth International SIAM Conference on Data Mining 2005
Guest Co-editor for XML in Geosciences, Special Issue of Computers and Geosciences, 2005
Session Organizer, Intelligent and Adaptive Systems for Data Collection, Processing, and Knowledge
Discovery II, Fall AGU Meeting, San Francisco, CA, 2005
Program Committee, HPDM: High Performance and Distributed Mining, 7th International Workshop on
High Performance and Distributed Mining: April 2004, in conjunction with Fourth International
SIAM Conference on Data Mining
Consultant
Caelum Research Corporation, 2009
Earth Science Information Partnership, 2010

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