Rahul Ramachandran

97 papers A* 1A 2B 1C 31Journal 47Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PDE foundation models are skillful AI weather emulators for the Martian atmosphere. CoRR Johannes Schmude, Sujit Roy, Liping Wang, Theodore van Kessel, Levente J. Klein, Marcus Freitag, Eloisa Bentivegna, Robert Manson-Sawko, Björn Lütjens, Manil Maskey, Campbell D. Watson, Rahul Ramachandran, Juan Bernabé-Moreno
2025	J	`jnl`	Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves. CoRR Aman Gupta, Aditi Sheshadri, Sujit Roy, Johannes Schmude, Vishal Gaur, Wei Ji Leong, Manil Maskey, Rahul Ramachandran
2025	J	`jnl`	How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. CoRR Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, Oguzhan Fatih Kar, Amir Zamir
2025	J	`jnl`	Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability. CoRR Wenwen Li, Sizhe Wang, Hyunho Lee, Chenyan Lu, Sujit Roy, Rahul Ramachandran, Chia-Yu Hsu
2025	—	`conf`	Multi-Layer Agent-Based Spatiotemporal UoW Recommendation for Workflow Composition. SSE Chang Liu, Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2025	J	`jnl`	Surya: Foundation Model for Heliophysics. CoRR Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran
2025	J	`jnl`	SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction. CoRR Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran
2025	J	`jnl`	TerraMind: Large-Scale Generative Multimodality for Earth Observation. CoRR Johannes Jakubik, Felix Yang, Benedikt Blumenstiel, Erik Scheurer, Rocco Sedona, Stefano Maurogiovanni, Jente Bosmans, Nikolaos Dionelis, Valerio Marsocci, Niklas Kopp, Rahul Ramachandran, Paolo Fraccaro, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernabé-Moreno, Nicolas Longépé
2025	J	`jnl`	Toward Open Earth Science as Fast and Accessible as Natural Language. CoRR Marquita Ellis, Iksha Gurung, Muthukumaran Ramasubramanian, Rahul Ramachandran
2025	—	`conf`	Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery. ICCVW Philip Wootaek Shin, Vishal Gaur, Rahul Ramachandran, Manil Maskey, Jack Sampson, Vijaykrishnan Narayanan, Sujit Roy
2025	J	`jnl`	Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery. CoRR Philip Wootaek Shin, Vishal Gaur, Rahul Ramachandran, Manil Maskey, Jack Sampson, Vijaykrishnan Narayanan, Sujit Roy
2024	J	`jnl`	AI Foundation Model for Heliophysics: Applications, Design, and Implementation. CoRR 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, Berkay Aydin, Nikolai V. Pogorelov, Juan Bernabé-Moreno, Manil Maskey, Rahul Ramachandran
2024	J	`jnl`	Challenges in Guardrailing Large Language Models for Science. CoRR Nishan Pantha, Muthukumaran Ramasubramanian, Iksha Gurung, Manil Maskey, Rahul Ramachandran
2024	C	`conf`	Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study. IGARSS Paridhi Parajuli, Rajat Shinde, Iksha Gurung, Manil Maskey, Rahul Ramachandran
2024	C	`conf`	Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. IGARSS Kaylin M. Bugbee, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Ge Peng, Deborah K. Smith, Iksha Gurung, Ashish Acharya, Jerika Christman
2024	—	`conf`	INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 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, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee
2024	J	`jnl`	INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR 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, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee
2024	J	`jnl`	Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. CoRR Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2024	J	`jnl`	Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. CoRR Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran
2024	J	`jnl`	On Evaluation of Vision Datasets and Models using Human Competency Frameworks. CoRR Rahul Ramachandran, Tejal Kulkarni, Charchit Sharma, Deepak Vijaykeerthy, Vineeth N. Balasubramanian
2024	J	`jnl`	Prithvi WxC: Foundation Model for Weather and Climate. CoRR 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, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran
2024	J	`jnl`	Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. CoRR 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, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arévalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell D. Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno
2024	—	`conf`	RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition. WISE (3) Xihao Xie, Chang Liu, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2024	J	`jnl`	WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks. CoRR Rajat Shinde, Christopher Phillips, Kumar Ankur, Aman Gupta, Simon Pfreundschuh, Sujit Roy, Sheyenne Kirkland, Vishal Gaur, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Manil Maskey, Rahul Ramachandran
2023	C	`conf`	A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. IGARSS Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran
2023	J	`jnl`	AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR 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, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
2023	B	`conf`	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. CLOUD Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran
2023	J	`jnl`	Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR 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, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran
2023	C	`conf`	Generative Framework Approach to Match Landsat and Sentinel-2 Data. IGARSS Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran
2023	C	`conf`	Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. IGARSS Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran
2022	C	`conf`	Artificial Intelligence Vis-à-Vis Data Systems. IGARSS Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul
2022	J	`jnl`	Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition. CoRR Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022	C	`conf`	Goal-Driven Context-Aware Service Recommendation for Mashup Development. SNPD Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022	C	`conf`	Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS Rahul Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey
2022	C	`conf`	Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. ICIS Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022	J	`jnl`	Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. CoRR Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
2022	C	`conf`	Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog. IGARSS Kaylin M. Bugbee, Rahul Ramachandran, Ashish Acharya, Dai Hai Ton That, John Hedman, Ahmed Eleish, Charles Driessnack, Wesley Adams, Emily Foshee
2021	C	`conf`	Augmenting Data Systems with Prediction based Embeddings. IGARSS Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee
2021	—	`conf`	Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. SMDS Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee
2020	C	`conf`	A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science. IGARSS Katrina Virts, Ashlyn Shirey, George Priftis, Kumar Ankur, Muthukumaran Ramasubramanian, Hassan Muhammad, Ashish Acharya, Rahul Ramachandran
2020	C	`conf`	Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. IGARSS Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes
2020	J	`jnl`	Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller
2020	C	`conf`	Employing Deep Learning to Enable Visual Exploration of Earth Science Events. IGARSS Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva
2020	J	`jnl`	Machine learning model to cluster and map tribocorrosion regimes in feature space. CoRR Rahul Ramachandran
2020	C	`conf`	Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype. IGARSS Kaylin M. Bugbee, Aaron Kaulfus, Alyssa Harris, Sean Bailey, Rahul Ramachandran, Sean Harkins, Aimee Barciauskas, Deborah K. Smith
2020	J	`jnl`	Using neural networks to predict icephobic performance. CoRR Rahul Ramachandran
2019	C	`conf`	Alternative Datasets for Identification of Earth Science Events and Data. IGARSS Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang
2019	J	`jnl`	Applying Deep Learning to Hail Detection: A Case Study. IEEE Trans. Geosci. Remote. Sens. Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher
2019	C	`conf`	Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). IGARSS Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst
2019	J	`jnl`	Deep feature extraction and its application for hailstorm detection in a large collection of radar images. Signal Image Video Process. Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran
2019	C	`conf`	Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. IGARSS Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil
2018	C	`conf`	A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. ICCC Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee
2018	J	`jnl`	Biomass feedstock supply chain design - a taxonomic review and a decomposition-based methodology. Int. J. Prod. Res. Fangzhou Sun, Maichel M. Aguayo, Rahul Ramachandran, Subhash C. Sarin
2018	J	`jnl`	Detection of transverse cirrus bands in satellite imagery using deep learning. Comput. Geosci. Jeffrey J. Miller, Udaysankar Nair, Rahul Ramachandran, Manil Maskey
2018	C	`conf`	ESA-NASA Multi-Mission Analysis Platform for Improving Global Aboveground Terrestrial Carbon Dynamics. IGARSS Clement Albinet, Amanda S. Whitehurst, Henri Laur, Kevin J. Murphy, Bjorn Frommknecht, Klaus Scipal, Andrew E. Mitchell, Benhan Jai, Rahul Ramachandran
2018	C	`conf`	Earth Science Deep Learning: Applications and Lessons Learned. IGARSS Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung
2018	—	`conf`	Facilitating Data-Centric Recommendation in Knowledge Graph. CIC Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel
2018	C	`conf`	Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS. IGARSS Christopher Lynnes, Rahul Ramachandran
2018	J	`jnl`	Recommendations to Improve Downloads of Large Earth Observation Data. Data Sci. J. 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, Rebecca Moore, Tyler A. Erickson, Josh Henretig, Brant Zwiefel, Heather Patrick-Ahlstrom, Matthew J. Smith
2018	J	`jnl`	The art and science of data curation: Lessons learned from constructing a virtual collection. Comput. Geosci. Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin
2018	J	`jnl`	Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network. IEEE Trans. Image Process. Ritesh Pradhan, Ramazan S. Aygün, Manil Maskey, Rahul Ramachandran, Daniel J. Cecil
2017	A	`conf`	A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. ICWS Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey
2017	J	`jnl`	A relevancy algorithm for curating earth science data around phenomenon. Comput. Geosci. Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller
2017	C	`conf`	CUMULUS: NASA's cloud based distributed active archive center prototype. IGARSS Rahul Ramachandran, Katie Baynes, Kevin J. Murphy, Alireza Jazayeri, Ian Schuler, Dan Pilone
2017	A	`conf`	Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model. ICWS Xiaoyi Duan, Jia Zhang, Qihao Bao, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee, Lei Pan
2016	J	`jnl`	Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete. Entropy Rahul Ramachandran, Marina Kozhukhova, Konstantin Sobolev, Michael Nosonovsky
2016	J	`jnl`	Climate data initiative: A geocuration effort to support climate resilience. Comput. Geosci. Rahul Ramachandran, Kaylin M. Bugbee, Curt Tilmes, Ana Pinheiro Privette
2016	C	`conf`	Exploiting dark information resources to create new value added services to study Earth science phenomena. IGARSS Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee
2016	C	`conf`	Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. IGARSS Kwo-Sen Kuo, Kush Shrestha, Amy Lin, Rahul Ramachandran
2015	J	`jnl`	Editorial: intelligent GIServices. Earth Sci. Informatics Peng Yue, Rahul Ramachandran, Peter Baumann
2015	J	`jnl`	Geometric Interpretation of Surface Tension Equilibrium in Superhydrophobic Systems. Entropy Michael Nosonovsky, Rahul Ramachandran
2015	C	`conf`	Linking from observations to data to actionable science in the climate data initiative. IGARSS Curt Tilmes, Ana Pinheiro Privette, Jeffrey Chen, Rahul Ramachandran, Kaylin M. Bugbee, Robert E. Wolfe
2015	—	`ch.`	Use of Semantic Technology to Create Curated Data Albums. Semantic Web Enabled Software Engineering Rahul Ramachandran, Ajinkya Kulkarni, Xiang Li, Roshan Sainju, Rohan Bakare, Sabin Basyal
2013	J	`jnl`	Data Prospecting-A Step Towards Data Intensive Science. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Rahul Ramachandran, John A. Rushing, Amy Lin, Helen Conover, Xiang Li, Sara J. Graves, Udaysankar Nair, Kwo-Sen Kuo, Deborah K. Smith
2013	J	`jnl`	Introducing Provenance Capture into a Legacy Data System. IEEE Trans. Geosci. Remote. Sens. Helen Conover, Rahul Ramachandran, Bruce Beaumont, Ajinkya Kulkarni, Michael McEniry, Kathryn Regner, Sara J. Graves
2012	J	`jnl`	A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kwo-Sen Kuo, Christopher Lynnes, Rahul Ramachandran
2012	J	`jnl`	Talkoot: software tool to create collaboratories for earth science. Earth Sci. Informatics Rahul Ramachandran, Manil Maskey, Ajinkya Kulkarni, Helen Conover, Udaysankar Nair, Sunil Movva
2012	—	`conf`	Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery. SC Companion Sara J. Graves, Rahul Ramachandran, Todd Berendes
2009	—	`conf`	GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. IGARSS (3) Rahul Ramachandran, Sara J. Graves, Todd Berendes, Manil Maskey, C. Chidambaram, Sundar A. Christopher, P. Hogan, Tom Gaskins
2009	—	`conf`	Talkoot Software Appliance for Collaborative Science. IGARSS (5) Rahul Ramachandran, Sunil Movva, Helen Conover, Christopher Lynnes
2008	—	`conf`	Customizable Search Engine with Semantic and Resource Aggregation Capability. CEC/EEE Sunil Movva, Rahul Ramachandran, Sara J. Graves, Helen Conover
2008	—	`conf`	Intelligent Data Thinning Algorithms for Satellite Imagery. IGARSS (3) Bradley Zavodsky, Steven Lazarus, Xiang Li, Mike Lueken, Michael Splitt, Rahul Ramachandran, Sunil Movva, Sara J. Graves, William Lapenta
2008	—	`conf`	Mining Scientific Data using the Internet as the Computer. IGARSS (4) Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham
2008	J	`jnl`	Real-time storm detection and weather forecast activation through data mining and events processing. Earth Sci. Informatics Xiang Li, Beth Plale, Nithya N. Vijayakumar, Rahul Ramachandran, Sara J. Graves, Helen Conover
2006	C	`conf`	A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. IGARSS Rahul Ramachandran, Xiang Li, Sunil Movva, Sara J. Graves
2006	C	`conf`	Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. IGARSS Nithya N. Vijayakumar, Beth Plale, Rahul Ramachandran, Xiang Li
2005	J	`jnl`	ADaM: a data mining toolkit for scientists and engineers. Comput. Geosci. John A. Rushing, Rahul Ramachandran, Udaysankar Nair, Sara J. Graves, Ron Welch, Hong Lin
2005	J	`jnl`	Application of XML in the geosciences. Comput. Geosci. Hassan A. Babaie, Rahul Ramachandran
2005	A*	`conf`	Automated detection of frontal systems from numerical model-generated data. KDD Xiang Li, Rahul Ramachandran, Sara J. Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven Greco, Robert Atlas, Joseph Terry, Juan-Carlos Jusem
2005	J	`jnl`	Service-oriented environments for dynamically interacting with mesoscale weather. Comput. Sci. Eng. 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, Rahul Ramachandran, Mohan Ramamurthy, Lavanya Ramakrishnan, John A. Rushing, Daniel Weber, Robert B. Wilhelmson, Anne Wilson, Ming Xue, Sepideh Yalda
2005	J	`jnl`	Syntactic and semantic metadata integration for science data use. Comput. Geosci. Sunil Movva, Rahul Ramachandran, Xiang Li, Sarita Khaire, Ken Keiser, Helen Conover, Sara J. Graves
2004	C	`conf`	Agent framework for intelligent data processing. IGARSS Rahul Ramachandran, Sara J. Graves, Sunil Movva, Xiang Li
2004	—	`conf`	Comparing Different Thresholding Algorithms for Segmenting Auroras. ITCC (2) Xiang Li, Rahul Ramachandran, Matt He, Sunil Movva, John A. Rushing, Sara J. Graves, Wladislaw Lyatsky, Arjun Tan, Glynn A. Germany
2004	C	`conf`	Dayglow removal from FUV auroral images. IGARSS Xiang Li, Rahul Ramachandran, Sunil Movva, Sara J. Graves, Glynn A. Germany, Wladislaw Lyatsky, Arjun Tan
2004	J	`jnl`	Earth Science Markup Language (ESML): : a solution for scientific data-application interoperability problem. Comput. Geosci. Rahul Ramachandran, Sara J. Graves, Helen Conover, Karen Moe
2002	C	`conf`	Interchange technology for applications to facilitate generic access to heterogenous data formats. IGARSS Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser
2000	—	`conf`	Challenges and solutions to mining Earth science data. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser