Rahul Ramachandran
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
8
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | 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, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernab-Moreno, Nicolas Longp |
| 2025 | ICCV | 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 |
| 2024 | EMNLP | 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, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Flix Grzes, 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 | IGARSS | 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 |
| 2024 | IGARSS | Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. | Kaylin M. Bugbee, Rahul Ramachandran, Aaron Kaulfus, Jeann le Roux, Ge Peng, Deborah K. Smith, Iksha Gurung, Ashish Acharya, Jerika Christman |
| 2024 | WISE | RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition. | Xihao Xie, Chang Liu, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | Generative Framework Approach to Match Landsat and Sentinel-2 Data. | Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran |
| 2023 | IGARSS | Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. | Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran |
| 2022 | IGARSS | Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. | Rahul Ramachandran, Muthukumaran Ramasubramanian, Prasanna Koirala, Iksha Gurung, Manil Maskey |
| 2022 | IGARSS | 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 |
| 2022 | IGARSS | Artificial Intelligence Vis--Vis Data Systems. | Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul |
| 2022 | SNPD | Goal-Driven Context-Aware Service Recommendation for Mashup Development. | Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee |
| 2021 | IGARSS | Augmenting Data Systems with Prediction based Embeddings. | Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee |
| 2020 | IGARSS | 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 |
| 2020 | IGARSS | 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 |
| 2020 | IGARSS | 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 |
| 2020 | IGARSS | 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 |
| 2019 | IGARSS | Alternative Datasets for Identification of Earth Science Events and Data. | Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang |
| 2019 | IGARSS | 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, Jeann le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst |
| 2019 | IGARSS | 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 |
| 2018 | IGARSS | 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 |
| 2018 | IGARSS | Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS. | Christopher Lynnes, Rahul Ramachandran |
| 2018 | IGARSS | Earth Science Deep Learning: Applications and Lessons Learned. | Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung |
| 2017 | IGARSS | CUMULUS: NASA's cloud based distributed active archive center prototype. | Rahul Ramachandran, Katie Baynes, Kevin J. Murphy, Alireza Jazayeri, Ian Schuler, Dan Pilone |
| 2017 | ICWS | A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. | Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey |
| 2017 | ICWS | Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model. | Xiaoyi Duan, Jia Zhang, Qihao Bao, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee, Lei Pan |
| 2016 | IGARSS | Exploiting dark information resources to create new value added services to study Earth science phenomena. | Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee |
| 2016 | IGARSS | Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. | Kwo-Sen Kuo, Kush Shrestha, Amy Lin, Rahul Ramachandran |
| 2015 | IGARSS | 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 |
| 2012 | SC | Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery. | Sara J. Graves, Rahul Ramachandran, Todd Berendes |
| 2009 | IGARSS | 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 |
| 2009 | IGARSS | Talkoot Software Appliance for Collaborative Science. | Rahul Ramachandran, Sunil Movva, Helen Conover, Christopher Lynnes |
| 2008 | IGARSS | Intelligent Data Thinning Algorithms for Satellite Imagery. | Bradley Zavodsky, Steven Lazarus, Xiang Li, Mike Lueken, Michael Splitt, Rahul Ramachandran, Sunil Movva, Sara J. Graves, William Lapenta |
| 2008 | IGARSS | Mining Scientific Data using the Internet as the Computer. | Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham |
| 2006 | IGARSS | A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. | Rahul Ramachandran, Xiang Li, Sunil Movva, Sara J. Graves |
| 2006 | IGARSS | Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. | Nithya N. Vijayakumar, Beth Plale, Rahul Ramachandran, Xiang Li |
| 2005 | KDD | Automated detection of frontal systems from numerical model-generated data. | Xiang Li, Rahul Ramachandran, Sara J. Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven Greco, Robert Atlas, Joseph Terry, Juan-Carlos Jusem |
| 2004 | IGARSS | Agent framework for intelligent data processing. | Rahul Ramachandran, Sara J. Graves, Sunil Movva, Xiang Li |
| 2004 | IGARSS | Dayglow removal from FUV auroral images. | Xiang Li, Rahul Ramachandran, Sunil Movva, Sara J. Graves, Glynn A. Germany, Wladislaw Lyatsky, Arjun Tan |
| 2002 | IGARSS | Interchange technology for applications to facilitate generic access to heterogenous data formats. | Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser |