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Posted to commits@sdap.apache.org by rk...@apache.org on 2023/11/28 22:38:16 UTC
(incubator-sdap-website) branch staging updated: Simple list of publications + featured keynote
This is an automated email from the ASF dual-hosted git repository.
rkk pushed a commit to branch staging
in repository https://gitbox.apache.org/repos/asf/incubator-sdap-website.git
The following commit(s) were added to refs/heads/staging by this push:
new f3c62d1 Simple list of publications + featured keynote
f3c62d1 is described below
commit f3c62d101bfb2150bc976f63b36d0ea943ac9626
Author: rileykk <ri...@jpl.nasa.gov>
AuthorDate: Tue Nov 28 14:38:02 2023 -0800
Simple list of publications + featured keynote
---
publications.html | 41 +++++++++++++++++++++++++++++++++++++++--
source/publications.html | 41 +++++++++++++++++++++++++++++++++++++++--
2 files changed, 78 insertions(+), 4 deletions(-)
diff --git a/publications.html b/publications.html
index 697f1ec..8be72f3 100644
--- a/publications.html
+++ b/publications.html
@@ -58,10 +58,46 @@
<h1>Publications</h1>
-<p>Here you can find all SDAP publications, they are ordered in reverse chronological order.</p>
+<p>Here you can find various publications about or featuring SDAP, including keynotes, papers, presentations and books.</p>
+
+<h2>Featured: SDAP @ ApacheCon 2020</h2>
+<h3>Keynote: Why Build a Castle When You Can Create a Community | Thomas Huang, NASA/JPL</h3>
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/b3fVNt850A8?si=4wkw67CI2NDNtP7a" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+
+<h2>Full List:</h2>
<ul>
- <li>todo</li>
+ <li>Huang, T., 2016: NEXUS: Big Data Analytics. 2016 Federation of Earth Science Information Partners (ESIP) Summer Meeting, Durham, NC, 2016</li>
+ <li>Huang, T., 2016: Taking on Big Ocean Data Science. International Conference on Marine Data and Information Systems, Gdansk, Poland, October 11, 2016</li>
+ <li>Lindstrom, E., V. Tsontos, and J. Vazquez, 2017: CEOS Ocean Variables Enabling Research and Applications for GEO (COVERAGE) – An Initiative Proposal to CEOS, The 32nd Meeting of the CEOS Strategic Implementation Team, Paris, France, April, 2017</li>
+ <li>Huang,T.,2017: Big Data Analytics and Visualizationto Monitor Sea Level Rise. Space Studies Board (SSB) of The National Academies of Sciences, Engineering, Medicine, Nov. 2017</li>
+ <li>Jacob, J., F. Greguska, T. Huang, N. Quach, and B. Wilson, 2017: Design Patterns to Achieve 300x Speedup for Oceanographic Analytics and Cloud. 2017 American Geophysical Union Fall Meeting, New Orleans, Louisiana, U.S.A., Dec. 11-15, 2017</li>
+ <li>Huang, T., 2018: High Performance Open Source Plat-form for Big Ocean Science. 2018 Ocean Sciences, Portland, OR, February, 2018</li>
+ <li>Huang. T., 2019: Advancing Technology for Big Ocean Science through Partnership and Open Source. 2019 American Meteorological Society, Phoenix, AZ, January 2019</li>
+ <li>Huang, T., 2019 (BiDS keynote): Overview of JPL Data Science for Earth Science. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
+ <li>Huang, T., 2019 (BiDS paper): A Web of Analytics Services. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
+ <li>Huang, T., M. DeBellis, I. Fenty, P. Heimbach, J.C. Jacob, O. Wang, and E. Yam, 2019: Analytics Center Framework for Estimating the Circulation and Climate of the Ocean. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July, 2019</li>
+ <li>Greguska, F., 2019: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2019, Las Vegas NV, 2019</li>
+ <li>Huang, T., 2019 (NAS): Advancing Data Science Technology Through Open Source. Advancing Commercialization from Federal Labs, The National Academies of Sciences, Engineering, Medicine, Washington DC, December, 2019</li>
+ <li>Huang, T., 2019: Aiming for Autonomously Sustainable Solution for Spatiotemporal Analysis. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Jacob, J., B.D. Wilson, H. Lee, 2019: NEXUS Hyper Grid: Analytics Engine Scalable for Climate Model Evaluation on Cloud and High-Performance Computing Platforms. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Vazquez, J., V.M. Tsontos, E.J. Lindstrom, T.M. Chin, and T. Huang, 2019: COVERAGE: A Platform Enabling Research and Applications for GEO. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019 23. </li>
+ <li>Wilson, B.D., J. C. Jacob, L. Mestar, and H. Lee, 2019: PARGEO: Cloud-Ready Pervasively Parallel Analytics and Climate Science. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Little, M.M, D. Duffy, R.R. Nemani, S.M. Hristova- Veleva, and T. Huang, 2019: Four Years of Progress in Analytics Center Frameworks: Lessons Learned, American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Yepremyan, A., E. Ford, and T. Huang, “OceanWorks + ESRI Integration,”, 2020 Federation of Earth Science Information Partners (ESIP) Winter Meeting, Bethesda, MD, Jan. 2020.</li>
+ <li>Huang, T., 2020 (ApacheCon keynote): “Why Build a Castle When You Can Create a Community, Advancing Satellite Data Analysis through Professional Open Source,” in 2020 ApachCon @Home, Virtual, September 29 – October 1, 2020.</li>
+ <li>Huang, T., A. Altinok, N. T., Chung, J. Hausman, C. M. Oaida, S. Shah, Z. M. Taylor, S. Baillarin, G. Blanchet, P. Kettig, and C. Taillan, 2020: “Distributed Machine Learning and Data Fusion for Flood Detection and Monitoring,” American Geophysical Union Fall Meeting, Online, December 1-17, 2020.</li>
+ <li>Kettig, P., S. Baillarin, G. Blanchet, C. Taillan, S. Ricci, T. Nguyen, T. Huang, A. Altinok, N.T. Chung, G. Valladeau, R. Goeury, A. Roumagnac, 2021: “The SCO-FloodDAM Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping,” In IGARSS 2021 IEEE International Geoscience and Remote Sensing Symposium, July 11-16, 2021, Brussels, Belgium.</li>
+ <li>Huang, T., C. David, C. Oaida, S. V. Kumar, P. Stackhouse, D. Borges. “Integrated Digital Earth Analysis System (IDEAS).” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Huang, T., N. T. Chung, A. E. Dunn, K. R. Verhulst, J. Holm, M. Pourhomayoun, D. K. Henze, R. Martin, and L. Bindle. “AQACF: A Platform for Air Quality Analysis, Visualization, and Prediction.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Huang, T., V. Tsontos, V., J. Jacob, B. Clark, S. Uz, M. Oliver, H. Smith, and L. Rogers. “Ocean Carbon Cycle Observatory: An Architectural Pilot for Smart Data.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Loubrieu, T., T. Huang, W. Phyo, N. T. Chung, M. Friedl, I. Liagouris, M. Moon, and D. Cunha. “Cloud-Optimized Data Service for Multispectral and Hyperspectral Observations.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Perez, S., N.T. Chung, T. Huang, V. Tsontos, W. Phyo, S. Smith, H. McMillan, T. Cram, Z. Ji and K. Sparling. "Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science and Applications." American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Rogers, L., B. Clark, S. Uz, T. Huang, V. Tsontos, J. Carden, S. Nag, V. Ravindra, and J. Scott, 2021: “Merging Analytic Collaborative Frameworks with New Observing Strategies Toward a Digital Twin: Earth – Episodic Pulse Event Impacts on the Ocean Carbon Cycle as an Example.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Perez, S., 2022: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2022, New Orleans LA, 2022</li>
+ <li>Chung, N., Huang, T., Tsontos, V.M., Perez, S., Phyo, M., Rodriguez, J., Kuttruff, R., Smith, S., Gethers, J., Cram, T., Ji, Z. and Sparling, K., 2022: Demonstration of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications. American Geophysical Union Fall Meeting, Chicago IL, 2022.</li>
+ <li>Huang, T., Vance, T., and Lynnes, C., 2023: Big data analytics in earth, atmospheric, and ocean sciences (Ser. Special publications 77). John Wiley & Sons, Inc./ American Geophysical Union.</li>
</ul>
<p>Get involved and contribute to SDAP through our <a href="http://sdap.apache.org/team">Community Hubs</a>.
@@ -88,3 +124,4 @@
</body>
</html>
+
diff --git a/source/publications.html b/source/publications.html
index 8545cef..08d4c6e 100644
--- a/source/publications.html
+++ b/source/publications.html
@@ -5,12 +5,49 @@
<h1>Publications</h1>
-<p>Here you can find all SDAP publications, they are ordered in reverse chronological order.</p>
+<p>Here you can find various publications about or featuring SDAP, including keynotes, papers, presentations and books.</p>
+
+<h2>Featured: SDAP @ ApacheCon 2020</h2>
+<h3>Keynote: Why Build a Castle When You Can Create a Community | Thomas Huang, NASA/JPL</h3>
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/b3fVNt850A8?si=4wkw67CI2NDNtP7a" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+
+<h2>Full List:</h2>
<ul>
- <li>todo</li>
+ <li>Huang, T., 2016: NEXUS: Big Data Analytics. 2016 Federation of Earth Science Information Partners (ESIP) Summer Meeting, Durham, NC, 2016</li>
+ <li>Huang, T., 2016: Taking on Big Ocean Data Science. International Conference on Marine Data and Information Systems, Gdansk, Poland, October 11, 2016</li>
+ <li>Lindstrom, E., V. Tsontos, and J. Vazquez, 2017: CEOS Ocean Variables Enabling Research and Applications for GEO (COVERAGE) – An Initiative Proposal to CEOS, The 32nd Meeting of the CEOS Strategic Implementation Team, Paris, France, April, 2017</li>
+ <li>Huang,T.,2017: Big Data Analytics and Visualizationto Monitor Sea Level Rise. Space Studies Board (SSB) of The National Academies of Sciences, Engineering, Medicine, Nov. 2017</li>
+ <li>Jacob, J., F. Greguska, T. Huang, N. Quach, and B. Wilson, 2017: Design Patterns to Achieve 300x Speedup for Oceanographic Analytics and Cloud. 2017 American Geophysical Union Fall Meeting, New Orleans, Louisiana, U.S.A., Dec. 11-15, 2017</li>
+ <li>Huang, T., 2018: High Performance Open Source Plat-form for Big Ocean Science. 2018 Ocean Sciences, Portland, OR, February, 2018</li>
+ <li>Huang. T., 2019: Advancing Technology for Big Ocean Science through Partnership and Open Source. 2019 American Meteorological Society, Phoenix, AZ, January 2019</li>
+ <li>Huang, T., 2019 (BiDS keynote): Overview of JPL Data Science for Earth Science. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
+ <li>Huang, T., 2019 (BiDS paper): A Web of Analytics Services. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
+ <li>Huang, T., M. DeBellis, I. Fenty, P. Heimbach, J.C. Jacob, O. Wang, and E. Yam, 2019: Analytics Center Framework for Estimating the Circulation and Climate of the Ocean. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July, 2019</li>
+ <li>Greguska, F., 2019: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2019, Las Vegas NV, 2019</li>
+ <li>Huang, T., 2019 (NAS): Advancing Data Science Technology Through Open Source. Advancing Commercialization from Federal Labs, The National Academies of Sciences, Engineering, Medicine, Washington DC, December, 2019</li>
+ <li>Huang, T., 2019: Aiming for Autonomously Sustainable Solution for Spatiotemporal Analysis. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Jacob, J., B.D. Wilson, H. Lee, 2019: NEXUS Hyper Grid: Analytics Engine Scalable for Climate Model Evaluation on Cloud and High-Performance Computing Platforms. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Vazquez, J., V.M. Tsontos, E.J. Lindstrom, T.M. Chin, and T. Huang, 2019: COVERAGE: A Platform Enabling Research and Applications for GEO. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019 23. </li>
+ <li>Wilson, B.D., J. C. Jacob, L. Mestar, and H. Lee, 2019: PARGEO: Cloud-Ready Pervasively Parallel Analytics and Climate Science. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Little, M.M, D. Duffy, R.R. Nemani, S.M. Hristova- Veleva, and T. Huang, 2019: Four Years of Progress in Analytics Center Frameworks: Lessons Learned, American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
+ <li>Yepremyan, A., E. Ford, and T. Huang, “OceanWorks + ESRI Integration,”, 2020 Federation of Earth Science Information Partners (ESIP) Winter Meeting, Bethesda, MD, Jan. 2020.</li>
+ <li>Huang, T., 2020 (ApacheCon keynote): “Why Build a Castle When You Can Create a Community, Advancing Satellite Data Analysis through Professional Open Source,” in 2020 ApachCon @Home, Virtual, September 29 – October 1, 2020.</li>
+ <li>Huang, T., A. Altinok, N. T., Chung, J. Hausman, C. M. Oaida, S. Shah, Z. M. Taylor, S. Baillarin, G. Blanchet, P. Kettig, and C. Taillan, 2020: “Distributed Machine Learning and Data Fusion for Flood Detection and Monitoring,” American Geophysical Union Fall Meeting, Online, December 1-17, 2020.</li>
+ <li>Kettig, P., S. Baillarin, G. Blanchet, C. Taillan, S. Ricci, T. Nguyen, T. Huang, A. Altinok, N.T. Chung, G. Valladeau, R. Goeury, A. Roumagnac, 2021: “The SCO-FloodDAM Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping,” In IGARSS 2021 IEEE International Geoscience and Remote Sensing Symposium, July 11-16, 2021, Brussels, Belgium.</li>
+ <li>Huang, T., C. David, C. Oaida, S. V. Kumar, P. Stackhouse, D. Borges. “Integrated Digital Earth Analysis System (IDEAS).” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Huang, T., N. T. Chung, A. E. Dunn, K. R. Verhulst, J. Holm, M. Pourhomayoun, D. K. Henze, R. Martin, and L. Bindle. “AQACF: A Platform for Air Quality Analysis, Visualization, and Prediction.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Huang, T., V. Tsontos, V., J. Jacob, B. Clark, S. Uz, M. Oliver, H. Smith, and L. Rogers. “Ocean Carbon Cycle Observatory: An Architectural Pilot for Smart Data.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Loubrieu, T., T. Huang, W. Phyo, N. T. Chung, M. Friedl, I. Liagouris, M. Moon, and D. Cunha. “Cloud-Optimized Data Service for Multispectral and Hyperspectral Observations.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Perez, S., N.T. Chung, T. Huang, V. Tsontos, W. Phyo, S. Smith, H. McMillan, T. Cram, Z. Ji and K. Sparling. "Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science and Applications." American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Rogers, L., B. Clark, S. Uz, T. Huang, V. Tsontos, J. Carden, S. Nag, V. Ravindra, and J. Scott, 2021: “Merging Analytic Collaborative Frameworks with New Observing Strategies Toward a Digital Twin: Earth – Episodic Pulse Event Impacts on the Ocean Carbon Cycle as an Example.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
+ <li>Perez, S., 2022: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2022, New Orleans LA, 2022</li>
+ <li>Chung, N., Huang, T., Tsontos, V.M., Perez, S., Phyo, M., Rodriguez, J., Kuttruff, R., Smith, S., Gethers, J., Cram, T., Ji, Z. and Sparling, K., 2022: Demonstration of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications. American Geophysical Union Fall Meeting, Chicago IL, 2022.</li>
+ <li>Huang, T., Vance, T., and Lynnes, C., 2023: Big data analytics in earth, atmospheric, and ocean sciences (Ser. Special publications 77). John Wiley & Sons, Inc./ American Geophysical Union.</li>
</ul>
<p>Get involved and contribute to SDAP through our <a href="http://sdap.apache.org/team">Community Hubs</a>.
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