Rahul Ramachandran

According to our database, Rahul Ramachandran authored at least 72 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, 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

CoRR, 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, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam

CoRR, 2023

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery.

Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Generative Framework Approach to Match Landsat and Sentinel-2 Data.

Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition.

Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee

CoRR, 2022

Goal-Driven Context-Aware Service Recommendation for Mashup Development.

Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee

Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Artificial Intelligence Vis-à-Vis Data Systems.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition.

Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee

Proceedings of the 22nd IEEE/ACIS International Conference on Computer and Information Science, 2022

2021

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers.

Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee

Proceedings of the IEEE International Conference on Smart Data Services, 2021

Augmenting Data Systems with Prediction based Embeddings.

Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

Using neural networks to predict icephobic performance.

Rahul Ramachandran

CoRR, 2020

Machine learning model to cluster and map tribocorrosion regimes in feature space.

Rahul Ramachandran

CoRR, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Deep feature extraction and its application for hailstorm detection in a large collection of radar images.

Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran

Signal Image Video Process., 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Alternative Datasets for Identification of Earth Science Events and Data.

Kaylin M. Bugbee, Robert Griffin, Brian Freitag, Jeffrey J. Miller, Rahul Ramachandran, Jia Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

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

Detection of transverse cirrus bands in satellite imagery using deep learning.

Jeffrey J. Miller, Udaysankar Nair, Rahul Ramachandran, Manil Maskey

Comput. Geosci., 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

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, Rebecca Moore, Tyler A. Erickson, Josh Henretig, Brant Zwiefel, Heather Patrick-Ahlstrom, Matthew J. Smith

Data Sci. J., 2018

Earth Science Deep Learning: Applications and Lessons Learned.

Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS.

Christopher Lynnes, Rahul Ramachandran

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers.

Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee

Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

Facilitating Data-Centric Recommendation in Knowledge Graph.

Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017

A relevancy algorithm for curating earth science data around phenomenon.

Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller

Comput. Geosci., 2017

CUMULUS: NASA's cloud based distributed active archive center prototype.

Rahul Ramachandran, Katie Baynes, Kevin J. Murphy, Alireza Jazayeri, Ian Schuler, Dan Pilone

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

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

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

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

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

Climate data initiative: A geocuration effort to support climate resilience.

Rahul Ramachandran, Kaylin M. Bugbee, Curt Tilmes, Ana Pinheiro Privette

Comput. Geosci., 2016

Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete.

Rahul Ramachandran, Marina Kozhukhova, Konstantin Sobolev, Michael Nosonovsky

Entropy, 2016

Exploiting dark information resources to create new value added services to study Earth science phenomena.

Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections.

Kwo-Sen Kuo, Kush Shrestha, Amy Lin, Rahul Ramachandran

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Editorial: intelligent GIServices.

Peng Yue, Rahul Ramachandran, Peter Baumann

Earth Sci. Informatics, 2015

Geometric Interpretation of Surface Tension Equilibrium in Superhydrophobic Systems.

Michael Nosonovsky, Rahul Ramachandran

Entropy, 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

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Use of Semantic Technology to Create Curated Data Albums.

Rahul Ramachandran, Ajinkya Kulkarni, Xiang Li, Roshan Sainju, Rohan Bakare, Sabin Basyal

Proceedings of the Semantic Web in Earth and Space Science. Current Status and Future Directions, 2015

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

Data Prospecting-A Step Towards Data Intensive Science.

Rahul Ramachandran, John A. Rushing, Amy Lin, Helen Conover, Xiang Li, Sara J. Graves, Udaysankar Nair, Kwo-Sen Kuo, Deborah K. Smith

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

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

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

Using GLIDER for Knowledge Discovery in Climate Science to Visualize, Analyze and Mine Satellite Imagery.

Sara J. Graves, Rahul Ramachandran, Todd Berendes

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2009

Talkoot Software Appliance for Collaborative Science.

Rahul Ramachandran, Sunil Movva, Helen Conover, Christopher Lynnes

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

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

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008

Real-time storm detection and weather forecast activation through data mining and events processing.

Xiang Li, Beth Plale, Nithya N. Vijayakumar, Rahul Ramachandran, Sara J. Graves, Helen Conover

Earth Sci. Informatics, 2008

Customizable Search Engine with Semantic and Resource Aggregation Capability.

Sunil Movva, Rahul Ramachandran, Sara J. Graves, Helen Conover

Proceedings of the 10th IEEE International Conference on E-Commerce Technology (CEC 2008) / 5th IEEE International Conference on Enterprise Computing, 2008

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

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Mining Scientific Data using the Internet as the Computer.

Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2006

Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting.

Nithya N. Vijayakumar, Beth Plale, Rahul Ramachandran, Xiang Li

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena.

Rahul Ramachandran, Xiang Li, Sunil Movva, Sara J. Graves

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

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

Syntactic and semantic metadata integration for science data use.

Sunil Movva, Rahul Ramachandran, Xiang Li, Sarita Khaire, Ken Keiser, Helen Conover, Sara J. Graves

Comput. Geosci., 2005

Application of XML in the geosciences.

Hassan A. Babaie, Rahul Ramachandran

Comput. Geosci., 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, Rahul Ramachandran, Mohan Ramamurthy, Lavanya Ramakrishnan, John A. Rushing, Daniel Weber, Robert B. Wilhelmson, Anne Wilson, Ming Xue, Sepideh Yalda

Comput. Sci. Eng., 2005

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

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

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

Comparing Different Thresholding Algorithms for Segmenting Auroras.

Xiang Li, Rahul Ramachandran, Matt He, Sunil Movva, John A. Rushing, Sara J. Graves, Wladislaw Lyatsky, Arjun Tan, Glynn A. Germany

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Agent framework for intelligent data processing.

Rahul Ramachandran, Sara J. Graves, Sunil Movva, Xiang Li

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Dayglow removal from FUV auroral images.

Xiang Li, Rahul Ramachandran, Sunil Movva, Sara J. Graves, Glynn A. Germany, Wladislaw Lyatsky, Arjun Tan

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2002

Interchange technology for applications to facilitate generic access to heterogenous data formats.

Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

2000

Challenges and solutions to mining Earth science data.

Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser

Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000