Challenges and solutions to mining Earth science data. - Rahul Ramachandran; Helen Conover; Sara J. Graves; Ken Keiser (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2000)

Interchange technology for applications to facilitate generic access to heterogenous data formats. - Rahul Ramachandran; Helen Conover; Sara J. Graves; Ken Keiser (IGARSS, 2002)

Dayglow removal from FUV auroral images. - Xiang Li 043; Rahul Ramachandran; Sunil Movva; Sara J. Graves; Glynn A. Germany; Wladislaw Lyatsky; Arjun Tan (IGARSS, 2004)

Agent framework for intelligent data processing. - Rahul Ramachandran; Sara J. Graves; Sunil Movva; Xiang Li 043 (IGARSS, 2004)

Comparing Different Thresholding Algorithms for Segmenting Auroras. - Xiang Li 043; Rahul Ramachandran; Matt He; Sunil Movva; John A. Rushing; Sara J. Graves; Wladislaw Lyatsky; Arjun Tan; Glynn A. Germany (ITCC (2), 2004)

Earth Science Markup Language (ESML): : a solution for scientific data-application interoperability problem. - Rahul Ramachandran; Sara J. Graves; Helen Conover; Karen Moe (Comput. Geosci., 2004)

Automated detection of frontal systems from numerical model-generated data. - Xiang Li 043; Rahul Ramachandran; Sara J. Graves; Sunil Movva; Bilahari Akkiraju; David Emmitt; Steven Greco; Robert Atlas; Joseph Terry; Juan-Carlos Jusem (KDD, 2005)

Service-oriented environments for dynamically interacting with mesoscale weather. - Kelvin Droegemeier; Dennis Gannon; Daniel A. Reed; Beth Plale; Jay Alameda; Tom Baltzer; Keith A. Brewster; Richard D. Clark; Ben Domenico; Sara J. Graves; Everette Joseph; Donald Murray; et al. (Comput. Sci. Eng., 2005)

Application of XML in the geosciences. - Hassan A. Babaie; Rahul Ramachandran (Comput. Geosci., 2005)

Syntactic and semantic metadata integration for science data use. - Sunil Movva; Rahul Ramachandran; Xiang Li 043; Sarita Khaire; Ken Keiser; Helen Conover; Sara J. Graves (Comput. Geosci., 2005)

ADaM: a data mining toolkit for scientists and engineers. - John A. Rushing; Rahul Ramachandran; Udaysankar Nair; Sara J. Graves; Ron Welch; Hong Lin (Comput. Geosci., 2005)

A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. - Rahul Ramachandran; Xiang Li 043; Sunil Movva; Sara J. Graves (IGARSS, 2006)

Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. - Nithya N. Vijayakumar; Beth Plale; Rahul Ramachandran; Xiang Li 043 (IGARSS, 2006)

Mining Scientific Data using the Internet as the Computer. - Sara J. Graves; Rahul Ramachandran; Christopher Lynnes; Manil Maskey; Ken Keiser; Long Pham (IGARSS (4), 2008)

Intelligent Data Thinning Algorithms for Satellite Imagery. - Bradley Zavodsky; Steven Lazarus; Xiang Li 043; Mike Lueken; Michael Splitt; Rahul Ramachandran; Sunil Movva; Sara J. Graves; William Lapenta (IGARSS (3), 2008)

Customizable Search Engine with Semantic and Resource Aggregation Capability. - Sunil Movva; Rahul Ramachandran; Sara J. Graves; Helen Conover (CEC/EEE, 2008)

Real-time storm detection and weather forecast activation through data mining and events processing. - Xiang Li 043; Beth Plale; Nithya N. Vijayakumar; Rahul Ramachandran; Sara J. Graves; Helen Conover (Earth Sci. Informatics, 2008)

GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. - Rahul Ramachandran; Sara J. Graves; Todd Berendes; Manil Maskey; C. Chidambaram; Sundar A. Christopher; P. Hogan; Tom Gaskins (IGARSS (3), 2009)

Talkoot Software Appliance for Collaborative Science. - Rahul Ramachandran; Sunil Movva; Helen Conover; Christopher Lynnes (IGARSS (5), 2009)

Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery. - Sara J. Graves; Rahul Ramachandran; Todd Berendes (SC Companion, 2012)

Talkoot: software tool to create collaboratories for earth science. - Rahul Ramachandran; Manil Maskey; Ajinkya Kulkarni; Helen Conover; Udaysankar Nair; Sunil Movva (Earth Sci. Informatics, 2012)

A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. - Kwo-Sen Kuo; Christopher Lynnes; Rahul Ramachandran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Data Prospecting-A Step Towards Data Intensive Science. - Rahul Ramachandran; John A. Rushing; Amy Lin; Helen Conover; Xiang Li 043; Sara J. Graves; Udaysankar Nair; Kwo-Sen Kuo; Deborah K. Smith (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Introducing Provenance Capture into a Legacy Data System. - Helen Conover; Rahul Ramachandran; Bruce Beaumont; Ajinkya Kulkarni; Michael McEniry; Kathryn Regner; Sara J. Graves (IEEE Trans. Geosci. Remote. Sens., 2013)

Use of Semantic Technology to Create Curated Data Albums. - Rahul Ramachandran; Ajinkya Kulkarni; Xiang Li 043; Roshan Sainju; Rohan Bakare; Sabin Basyal (Semantic Web Enabled Software Engineering, 2015)

Linking from observations to data to actionable science in the climate data initiative. - Curt Tilmes; Ana Pinheiro Privette; Jeffrey Chen; Rahul Ramachandran; Kaylin M. Bugbee; Robert E. Wolfe (IGARSS, 2015)

Geometric Interpretation of Surface Tension Equilibrium in Superhydrophobic Systems. - Michael Nosonovsky; Rahul Ramachandran (Entropy, 2015)

Editorial: intelligent GIServices. - Peng Yue; Rahul Ramachandran; Peter Baumann 001 (Earth Sci. Informatics, 2015)

Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. - Kwo-Sen Kuo; Kush Shrestha; Amy Lin; Rahul Ramachandran (IGARSS, 2016)

Exploiting dark information resources to create new value added services to study Earth science phenomena. - Rahul Ramachandran; Manil Maskey; Xiang Li 043; Kaylin M. Bugbee (IGARSS, 2016)

Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete. - Rahul Ramachandran; Marina Kozhukhova; Konstantin Sobolev; Michael Nosonovsky (Entropy, 2016)

Climate data initiative: A geocuration effort to support climate resilience. - Rahul Ramachandran; Kaylin M. Bugbee; Curt Tilmes; Ana Pinheiro Privette (Comput. Geosci., 2016)

A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. - Qihao Bao; Jia Zhang 001; Xiaoyi Duan; Rahul Ramachandran; Tsengdar J. Lee; Yankai Zhang; Yuhao Xu; Seungwon Lee; Lei Pan; Patrick Gatlin; Manil Maskey (ICWS, 2017)

Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model. - Xiaoyi Duan; Jia Zhang 001; Qihao Bao; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee; Lei Pan (ICWS, 2017)

CUMULUS: NASA's cloud based distributed active archive center prototype. - Rahul Ramachandran; Katie Baynes; Kevin J. Murphy; Alireza Jazayeri; Ian Schuler; Dan Pilone (IGARSS, 2017)

A relevancy algorithm for curating earth science data around phenomenon. - Manil Maskey; Rahul Ramachandran; Xiang Li 043; Amanda Weigel; Kaylin M. Bugbee; Patrick Gatlin; Jeffrey J. Miller (Comput. Geosci., 2017)

Facilitating Data-Centric Recommendation in Knowledge Graph. - Jia Zhang 001; Maryam Pourreza; Rahul Ramachandran; Tsengdar J. Lee; Patrick Gatlin; Manil Maskey; Amanda Marie Weigel (CIC, 2018)

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. - Xiaoyi Duan; Jia Zhang 001; Rahul Ramachandran; Patrick Gatlin; Manil Maskey; Jeffrey J. Miller; Kaylin M. Bugbee; Tsengdar J. Lee (ICCC, 2018)

ESA-NASA Multi-Mission Analysis Platform for Improving Global Aboveground Terrestrial Carbon Dynamics. - Clement Albinet; Amanda S. Whitehurst; Henri Laur; Kevin J. Murphy; Bjorn Frommknecht; Klaus Scipal; Andrew E. Mitchell; Benhan Jai; Rahul Ramachandran (IGARSS, 2018)

Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS. - Christopher Lynnes; Rahul Ramachandran (IGARSS, 2018)

Earth Science Deep Learning: Applications and Lessons Learned. - Manil Maskey; Rahul Ramachandran; Jeffrey J. Miller; Jia Zhang 001; Iksha Gurung (IGARSS, 2018)

Recommendations to Improve Downloads of Large Earth Observation Data. - Rahul Ramachandran; Christopher Lynnes; Kathleen Baynes; Kevin J. Murphy; Jamie Baker; Jamie Kinney; Ariel Gold; Jed Sundwall; Mark Korver; Allison Lieber; William Vambenepe; Matthew Hancher; et al. (Data Sci. J., 2018)

The art and science of data curation: Lessons learned from constructing a virtual collection. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Patrick Gatlin (Comput. Geosci., 2018)

Detection of transverse cirrus bands in satellite imagery using deep learning. - Jeffrey J. Miller; Udaysankar Nair; Rahul Ramachandran; Manil Maskey (Comput. Geosci., 2018)

Biomass feedstock supply chain design - a taxonomic review and a decomposition-based methodology. - Fangzhou Sun; Maichel M. Aguayo; Rahul Ramachandran; Subhash C. Sarin (Int. J. Prod. Res., 2018)

Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network. - Ritesh Pradhan; Ramazan S. Aygün; Manil Maskey; Rahul Ramachandran; Daniel J. Cecil (IEEE Trans. Image Process., 2018)

Alternative Datasets for Identification of Earth Science Events and Data. - Kaylin M. Bugbee; Robert Griffin; Brian Freitag; Jeffrey J. Miller; Rahul Ramachandran; Jia Zhang 001 (IGARSS, 2019)

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). - Kaylin M. Bugbee; Christopher Lynnes; Manil Maskey; Aimee Barciauskas; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Jeffrey J. Miller; Iksha Gurung; Amanda S. Whitehurst (IGARSS, 2019)

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. - Manil Maskey; Andrew L. Molthan; Chris Hain; Rahul Ramachandran; Iksha Gurung; Brian Freitag; Jeffrey J. Miller; Muthukumaran Ramasubramanian; Drew Bollinger; Ricardo Mestre; Daniel Cecil (IGARSS, 2019)

Deep feature extraction and its application for hailstorm detection in a large collection of radar images. - Iksha Gurung; Chao Peng 003; Manil Maskey; Rahul Ramachandran (Signal Image Video Process., 2019)

Applying Deep Learning to Hail Detection: A Case Study. - Melinda Pullman; Iksha Gurung; Manil Maskey; Rahul Ramachandran; Sundar A. Christopher (IEEE Trans. Geosci. Remote. Sens., 2019)

Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype. - Kaylin M. Bugbee; Aaron Kaulfus; Alyssa Harris; Sean Bailey; Rahul Ramachandran; Sean Harkins; Aimee Barciauskas; Deborah K. Smith (IGARSS, 2020)

Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Aimee Barciauskas; Aaron Kaulfus; Dai Hai Ton That; Katrina Virts; Kel N. Markert; Christopher Lynnes (IGARSS, 2020)

Employing Deep Learning to Enable Visual Exploration of Earth Science Events. - Manil Maskey; Rahul Ramachandran; Iksha Gurung; Muthukumaran Ramasubramanian; Brian Freitag; Aaron Kaulfus; Georgios Priftis; Drew Bollinger; Ricardo Mestre; Daniel da Silva (IGARSS, 2020)

A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science. - Katrina Virts; Ashlyn Shirey; George Priftis; Kumar Ankur; Muthukumaran Ramasubramanian; Hassan Muhammad; Ashish Acharya; Rahul Ramachandran (IGARSS, 2020)

Machine learning model to cluster and map tribocorrosion regimes in feature space. - Rahul Ramachandran (CoRR, 2020)

Using neural networks to predict icephobic performance. - Rahul Ramachandran (CoRR, 2020)

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. - Manil Maskey; Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Brian Freitag; Aaron Kaulfus; Drew Bollinger; Daniel J. Cecil; Jeffrey J. Miller (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Augmenting Data Systems with Prediction based Embeddings. - Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Carson Davis; Derek Koehl; Manil Maskey; Tsengdar J. Lee (IGARSS, 2021)

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. - Jia Zhang 001; Junhao Shen; Beichen Hu; Rahul Ramachandran; Tsengdar J. Lee; Kwo-Sen Kuo; Manil Maskey; Seungwon Lee (SMDS, 2021)

Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (ICIS, 2022)

Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog. - Kaylin M. Bugbee; Rahul Ramachandran; Ashish Acharya; Dai Hai Ton That; John Hedman; Ahmed Eleish; Charles Driessnack; Wesley Adams; Emily Foshee (IGARSS, 2022)

Artificial Intelligence Vis-à-Vis Data Systems. - Manil Maskey; Rahul Ramachandran; Iksha Gurung; Muthukumaran Ramasubramanian; Anirudh Koul (IGARSS, 2022)

Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. - Rahul Ramachandran; Muthukumaran Ramasubramanian; P. Koirala; Iksha Gurung; Manil Maskey (IGARSS, 2022)

Goal-Driven Context-Aware Service Recommendation for Mashup Development. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (SNPD, 2022)

Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (CoRR, 2022)

Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study. - Suresh Marru; Brian Freitag; Dimuthu Wannipurage; Uday Kumar Bommala; Patrick Pradier; Christophe Demange; Nishan Pantha; Tathagata Mukherjee; Betlem Rosich; Eric Monjoux; Rahul Ramachandran (CLOUD, 2023)

A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. - Muthukumaran Ramasubramanian; Iksha Gurung; Leo Thomas; Kathryn Berger; Soumya Ranjan; Heidi Mok; Sowmya Subramanian; Vitor George; Manil Maskey; Rahul Ramachandran (IGARSS, 2023)

Generative Framework Approach to Match Landsat and Sentinel-2 Data. - Sujit Roy; Madhu Sridhar; John Mandel; Brian Freitag; Junchang Ju; Rahul Ramachandran (IGARSS, 2023)

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. - Lillianne Thomas; Slesa Adhikari; Iksha Gurung; Aaron Kaulfus; Muthukumaran Ramasubramanian; Manil Maskey; Rahul Ramachandran (IGARSS, 2023)

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. - S. Karthik Mukkavilli; Daniel Salles Civitarese; Johannes Schmude; Johannes Jakubik; Anne Jones; Nam Nguyen; Christopher Phillips; Sujit Roy; Shraddha Singh; Campbell D. Watson; Raghu K. Ganti; Hendrik F. Hamann; et al. (CoRR, 2023)

Foundation Models for Generalist Geospatial Artificial Intelligence. - Johannes Jakubik; Sujit Roy; C. E. Phillips; Paolo Fraccaro; Denys Godwin; Bianca Zadrozny; Daniela Szwarcman; Carlos Gomes; Gabby Nyirjesy; Blair Edwards; Daiki Kimura; Naomi Simumba; et al. (CoRR, 2023)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. - Kaylin M. Bugbee; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Ge Peng; Deborah K. Smith; Iksha Gurung; Ashish Acharya; Jerika Christman (IGARSS, 2024)

Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study. - Paridhi Parajuli; Rajat Shinde; Iksha Gurung; Manil Maskey; Rahul Ramachandran (IGARSS, 2024)

RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition. - Xihao Xie; Chang Liu; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (WISE (3), 2024)

Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. - Xihao Xie; Jia Zhang 001; Rahul Ramachandran; Tsengdar J. Lee; Seungwon Lee (CoRR, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. - Aman Gupta; Aditi Sheshadri; Sujit Roy; Vishal Gaur; Manil Maskey; Rahul Ramachandran (CoRR, 2024)

On Evaluation of Vision Datasets and Models using Human Competency Frameworks. - Rahul Ramachandran; Tejal Kulkarni; Charchit Sharma; Deepak Vijaykeerthy; Vineeth N. Balasubramanian (CoRR, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

AI Foundation Model for Heliophysics: Applications, Design, and Implementation. - Sujit Roy; Talwinder Singh; Marcus Freitag; Johannes Schmude; Rohit Lal; Dinesha Hegde; Soumya Ranjan; Amy Lin; Vishal Gaur; Etienne Eben Vos; Rinki Ghosal; Badri Narayana Patro; et al. (CoRR, 2024)

Challenges in Guardrailing Large Language Models for Science. - Nishan Pantha; Muthukumaran Ramasubramanian; Iksha Gurung; Manil Maskey; Rahul Ramachandran (CoRR, 2024)

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Daniela Szwarcman; Sujit Roy; Paolo Fraccaro; Þorsteinn Elí Gíslason; Benedikt Blumenstiel; Rinki Ghosal; Pedro Henrique de Oliveira; João Lucas de Sousa Almeida; Rocco Sedona; Yanghui Kang; Srija Chakraborty; Sizhe Wang; et al. (CoRR, 2024)

WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks. - Rajat Shinde; Christopher Phillips; Kumar Ankur; Aman Gupta; Simon Pfreundschuh; Sujit Roy; Sheyenne Kirkland; Vishal Gaur; Amy Lin; Aditi Sheshadri; Udaysankar Nair; Manil Maskey; et al. (CoRR, 2024)

TerraMind: Large-Scale Generative Multimodality for Earth Observation. - Johannes Jakubik; Felix Yang; Benedikt Blumenstiel; Erik Scheurer; Rocco Sedona; Stefano Maurogiovanni; Jente Bosmans; Nikolaos Dionelis; Valerio Marsocci; Niklas Kopp; Rahul Ramachandran; Paolo Fraccaro; et al. (CoRR, 2025)

Toward Open Earth Science as Fast and Accessible as Natural Language. - Marquita Ellis; Iksha Gurung; Muthukumaran Ramasubramanian; Rahul Ramachandran (CoRR, 2025)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. - Rahul Ramachandran; Ali Garjani; Roman Bachmann 001; Andrei Atanov; Oguzhan Fatih Kar; Amir Zamir (CoRR, 2025)

Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery. - Philip Wootaek Shin; Vishal Gaur; Rahul Ramachandran; Manil Maskey; Jack Sampson; Vijaykrishnan Narayanan; Sujit Roy (CoRR, 2025)