Rahul Ramachandran

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 50

Top Topics

Tropical Cyclone

Geometric Interpretation

Top Venues

Comput. Geosci.

Publications

Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran
Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. CoRR (2024)
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. CoRR (2024)
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, Tsendgar Lee
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR (2024)
Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran
Generative Framework Approach to Match Landsat and Sentinel-2 Data. IGARSS (2023)
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
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR (2023)
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
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR (2023)
Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran
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 (2023)
Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran
A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. IGARSS (2023)
Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran
Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. IGARSS (2023)
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition. CoRR (2022)
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. ICIS (2022)
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. CoRR (2022)
Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee
Goal-Driven Context-Aware Service Recommendation for Mashup Development. SNPD (2022)
Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul
Artificial Intelligence Vis-à-Vis Data Systems. IGARSS (2022)
Kaylin M. Bugbee, Rahul Ramachandran, Ashish Acharya, Dai Hai Ton That, John Hedman, Ahmed Eleish, Charles Driessnack, Wesley Adams, Emily Foshee
Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog. IGARSS (2022)
Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee
Augmenting Data Systems with Prediction based Embeddings. IGARSS (2021)
Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee
Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. SMDS (2021)
Rahul Ramachandran
Using neural networks to predict icephobic performance. CoRR (2020)
Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva
Employing Deep Learning to Enable Visual Exploration of Earth Science Events. IGARSS (2020)
Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes
Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. IGARSS (2020)
Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller
Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Rahul Ramachandran
Machine learning model to cluster and map tribocorrosion regimes in feature space. CoRR (2020)
Kaylin M. Bugbee, Aaron Kaulfus, Alyssa Harris, Sean Bailey, Rahul Ramachandran, Sean Harkins, Aimee Barciauskas, Deborah K. Smith
Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype. IGARSS (2020)
Katrina Virts, Ashlyn Shirey, George Priftis, Kumar Ankur, Muthukumaran Ramasubramanian, Hassan Muhammad, Ashish Acharya, Rahul Ramachandran
A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science. IGARSS (2020)
Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst
Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). IGARSS (2019)
Manil Maskey, Andrew Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil
Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. IGARSS (2019)
Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran
Deep feature extraction and its application for hailstorm detection in a large collection of radar images. Signal Image Video Process. 13 (3) (2019)
Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher
Applying Deep Learning to Hail Detection: A Case Study. IEEE Trans. Geosci. Remote. Sens. 57 (12) (2019)
Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang
Alternative Datasets for Identification of Earth Science Events and Data. IGARSS (2019)
Christopher Lynnes, Rahul Ramachandran
Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS. IGARSS (2018)
Jeffrey J. Miller, Udaysankar Nair, Rahul Ramachandran, Manil Maskey
Detection of transverse cirrus bands in satellite imagery using deep learning. Comput. Geosci. 118 (2018)
Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung
Earth Science Deep Learning: Applications and Lessons Learned. IGARSS (2018)
Clement Albinet, Amanda S. Whitehurst, Henri Laur, Kevin J. Murphy, Bjorn Frommknecht, Klaus Scipal, Andrew E. Mitchell, Benhan Jai, Rahul Ramachandran
ESA-NASA Multi-Mission Analysis Platform for Improving Global Aboveground Terrestrial Carbon Dynamics. IGARSS (2018)
Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. ICCC (2018)
Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin
The art and science of data curation: Lessons learned from constructing a virtual collection. Comput. Geosci. 112 (2018)
Ritesh Pradhan, Ramazan S. Aygün, Manil Maskey, Rahul Ramachandran, Daniel J. Cecil
Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network. IEEE Trans. Image Process. 27 (2) (2018)
Fangzhou Sun, Maichel M. Aguayo, Rahul Ramachandran, Subhash C. Sarin
Biomass feedstock supply chain design - a taxonomic review and a decomposition-based methodology. Int. J. Prod. Res. 56 (17) (2018)
Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel
Facilitating Data-Centric Recommendation in Knowledge Graph. CIC (2018)
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
Recommendations to Improve Downloads of Large Earth Observation Data. Data Sci. J. 17 (2018)
Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller
A relevancy algorithm for curating earth science data around phenomenon. Comput. Geosci. 106 (2017)
Rahul Ramachandran, Katie Baynes, Kevin J. Murphy, Alireza Jazayeri, Ian Schuler, Dan Pilone
CUMULUS: NASA's cloud based distributed active archive center prototype. IGARSS (2017)
Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey
A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. ICWS (2017)
Xiaoyi Duan, Jia Zhang, Qihao Bao, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee, Lei Pan
Linking Design-Time and Run-Time: A Graph-Based Uniform Workflow Provenance Model. ICWS (2017)
Rahul Ramachandran, Marina Kozhukhova, Konstantin Sobolev, Michael Nosonovsky
Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete. Entropy 18 (4) (2016)
Rahul Ramachandran, Kaylin M. Bugbee, Curt Tilmes, Ana Pinheiro Privette
Climate data initiative: A geocuration effort to support climate resilience. Comput. Geosci. 88 (2016)
Kwo-Sen Kuo, Kush Shrestha, Amy Lin, Rahul Ramachandran
Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. IGARSS (2016)
Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee
Exploiting dark information resources to create new value added services to study Earth science phenomena. IGARSS (2016)
Michael Nosonovsky, Rahul Ramachandran
Geometric Interpretation of Surface Tension Equilibrium in Superhydrophobic Systems. Entropy 17 (7) (2015)
Curt Tilmes, Ana Pinheiro Privette, Jeffrey Chen, Rahul Ramachandran, Kaylin M. Bugbee, Robert E. Wolfe
Linking from observations to data to actionable science in the climate data initiative. IGARSS (2015)
Peng Yue, Rahul Ramachandran, Peter Baumann
Editorial: intelligent GIServices. Earth Sci. Informatics 8 (3) (2015)
Helen Conover, Rahul Ramachandran, Bruce Beaumont, Ajinkya Kulkarni, Michael McEniry, Kathryn Regner, Sara J. Graves
Introducing Provenance Capture into a Legacy Data System. IEEE Trans. Geosci. Remote. Sens. 51 (11) (2013)
Rahul Ramachandran, John A. Rushing, Amy Lin, Helen Conover, Xiang Li, Sara J. Graves, Udaysankar Nair, Kwo-Sen Kuo, Deborah K. Smith
Data Prospecting-A Step Towards Data Intensive Science. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (3) (2013)
Kwo-Sen Kuo, Christopher Lynnes, Rahul Ramachandran
A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (6) (2012)
Sara J. Graves, Rahul Ramachandran, Todd Berendes
Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery. SC Companion (2012)
Rahul Ramachandran, Manil Maskey, Ajinkya Kulkarni, Helen Conover, Udaysankar Nair, Sunil Movva
Talkoot: software tool to create collaboratories for earth science. Earth Sci. Informatics 5 (1) (2012)
Rahul Ramachandran, Sunil Movva, Helen Conover, Christopher Lynnes
Talkoot Software Appliance for Collaborative Science. IGARSS (5) (2009)
Rahul Ramachandran, Sara J. Graves, Todd Berendes, Manil Maskey, C. Chidambaram, Sundar A. Christopher, P. Hogan, T. Gaskins
GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. IGARSS (3) (2009)
Sunil Movva, Rahul Ramachandran, Sara J. Graves, Helen Conover
Customizable Search Engine with Semantic and Resource Aggregation Capability. CEC/EEE (2008)
Xiang Li, Beth Plale, Nithya N. Vijayakumar, Rahul Ramachandran, Sara J. Graves, Helen Conover
Real-time storm detection and weather forecast activation through data mining and events processing. Earth Sci. Informatics 1 (2) (2008)
Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham
Mining Scientific Data using the Internet as the Computer. IGARSS (4) (2008)
Bradley Zavodsky, Steven Lazarus, Xiang Li, Mike Lueken, Michael Splitt, Rahul Ramachandran, Sunil Movva, Sara J. Graves, William Lapenta
Intelligent Data Thinning Algorithms for Satellite Imagery. IGARSS (3) (2008)
Nithya N. Vijayakumar, Beth Plale, Rahul Ramachandran, Xiang Li
Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. IGARSS (2006)
Rahul Ramachandran, Xiang Li, Sunil Movva, Sara J. Graves
A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. IGARSS (2006)
John A. Rushing, Rahul Ramachandran, Udaysankar Nair, Sara J. Graves, Ron Welch, Hong Lin
ADaM: a data mining toolkit for scientists and engineers. Comput. Geosci. 31 (5) (2005)
Hassan A. Babaie, Rahul Ramachandran
Application of XML in the geosciences. Comput. Geosci. 31 (9) (2005)
Sunil Movva, Rahul Ramachandran, Xiang Li, Sarita Khaire, Ken Keiser, Helen Conover, Sara J. Graves
Syntactic and semantic metadata integration for science data use. Comput. Geosci. 31 (9) (2005)
Xiang Li, Rahul Ramachandran, Sara J. Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven Greco, Robert Atlas, Joseph Terry, Juan-Carlos Jusem
Automated detection of frontal systems from numerical model-generated data. KDD (2005)
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 Wilhelmson, Anne Wilson, Ming Xue, Sepideh Yalda
Service-oriented environments for dynamically interacting with mesoscale weather. Comput. Sci. Eng. 7 (6) (2005)
Rahul Ramachandran, Sara J. Graves, Sunil Movva, Xiang Li
Agent framework for intelligent data processing. IGARSS (2004)
Rahul Ramachandran, Sara J. Graves, Helen Conover, Karen Moe
Earth Science Markup Language (ESML): : a solution for scientific data-application interoperability problem. Comput. Geosci. 30 (1) (2004)
Xiang Li, Rahul Ramachandran, Matt He, Sunil Movva, John A. Rushing, Sara J. Graves, Wladislaw Lyatsky, Arjun Tan, Glynn A. Germany
Comparing Different Thresholding Algorithms for Segmenting Auroras. ITCC (2) (2004)
Xiang Li, Rahul Ramachandran, Sunil Movva, Sara J. Graves, Glynn A. Germany, Wladislaw Lyatsky, Arjun Tan
Dayglow removal from FUV auroral images. IGARSS (2004)
Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser
Interchange technology for applications to facilitate generic access to heterogenous data formats. IGARSS (2002)
Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser
Challenges and solutions to mining Earth science data. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2000)