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Rahul Ramachandran
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2020 – today
- 2024
- [i9]Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee:
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development. CoRR abs/2404.00420 (2024) - [i8]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 abs/2405.10725 (2024) - [i7]Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran:
Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. CoRR abs/2406.14775 (2024) - 2023
- [c43]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: 58-68 - [c42]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: 32-35 - [c41]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: 1404-1407 - [c40]Sujit Roy, Madhu Sridhar, John Mandel, Brian Freitag, Junchang Ju, Rahul Ramachandran:
Generative Framework Approach to Match Landsat and Sentinel-2 Data. IGARSS 2023: 5101-5104 - [i6]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 abs/2309.10808 (2023) - [i5]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 abs/2310.18660 (2023) - 2022
- [c39]Xihao Xie, Jia Zhang, Rahul Ramachandran
, Tsengdar J. Lee, Seungwon Lee:
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. ICIS 2022: 60-65 - [c38]Rahul Ramachandran
, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey:
Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS 2022: 4015-4018 - [c37]Manil Maskey, Rahul Ramachandran
, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul:
Artificial Intelligence Vis-à-Vis Data Systems. IGARSS 2022: 5081-5084 - [c36]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: 6836-6839 - [c35]Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee:
Goal-Driven Context-Aware Service Recommendation for Mashup Development. SNPD 2022: 19-26 - [i4]Xihao Xie, Jia Zhang, Rahul Ramachandran
, Tsengdar J. Lee, Seungwon Lee:
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition. CoRR abs/2205.11771 (2022) - [i3]Xihao Xie, Jia Zhang, Rahul Ramachandran
, Tsengdar J. Lee, Seungwon Lee:
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition. CoRR abs/2210.14127 (2022) - 2021
- [c34]Rahul Ramachandran
, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey
, Tsengdar J. Lee:
Augmenting Data Systems with Prediction based Embeddings. IGARSS 2021: 1138-1141 - [c33]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: 24-32 - 2020
- [j23]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: 4271-4281 (2020) - [c32]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: 2248-2251 - [c31]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: 2252-2255 - [c30]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: 3097-3100 - [c29]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: 3131-3134 - [i2]Rahul Ramachandran
:
Machine learning model to cluster and map tribocorrosion regimes in feature space. CoRR abs/2006.06252 (2020) - [i1]Rahul Ramachandran
:
Using neural networks to predict icephobic performance. CoRR abs/2008.00966 (2020)
2010 – 2019
- 2019
- [j22]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): 541-549 (2019) - [j21]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): 10218-10225 (2019) - [c28]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: 4261-4264 - [c27]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: 9510-9513 - [c26]Manil Maskey
, Andrew L. 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: 10043-10046 - 2018
- [j20]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: 2 (2018) - [j19]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: 76-82 (2018) - [j18]Jeffrey J. Miller
, Udaysankar Nair, Rahul Ramachandran
, Manil Maskey:
Detection of transverse cirrus bands in satellite imagery using deep learning. Comput. Geosci. 118: 79-85 (2018) - [j17]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): 5626-5659 (2018) - [j16]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): 692-702 (2018) - [c25]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: 207-216 - [c24]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: 9-16 - [c23]Christopher Lynnes
, Rahul Ramachandran
:
Generalizing a Data Analysis Pipeline in the Cloud to Handle Diverse Use Cases in NASA's EOSDIS. IGARSS 2018: 422-425 - [c22]Manil Maskey, Rahul Ramachandran
, Jeffrey J. Miller, Jia Zhang, Iksha Gurung:
Earth Science Deep Learning: Applications and Lessons Learned. IGARSS 2018: 1760-1763 - [c21]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: 5282-5284 - 2017
- [j15]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: 164-170 (2017) - [c20]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: 97-105 - [c19]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: 220-228 - [c18]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: 369-372 - 2016
- [j14]Rahul Ramachandran, Marina Kozhukhova
, Konstantin Sobolev
, Michael Nosonovsky
:
Anti-Icing Superhydrophobic Surfaces: Controlling Entropic Molecular Interactions to Design Novel Icephobic Concrete. Entropy 18(4): 132 (2016) - [j13]Rahul Ramachandran
, Kaylin M. Bugbee
, Curt Tilmes, Ana Pinheiro Privette:
Climate data initiative: A geocuration effort to support climate resilience. Comput. Geosci. 88: 22-29 (2016) - [c17]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: 182-185 - [c16]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: 2177-2180 - 2015
- [j12]Michael Nosonovsky
, Rahul Ramachandran:
Geometric Interpretation of Surface Tension Equilibrium in Superhydrophobic Systems. Entropy 17(7): 4684-4700 (2015) - [j11]Peng Yue, Rahul Ramachandran
, Peter Baumann
:
Editorial: intelligent GIServices. Earth Sci. Informatics 8(3): 461-462 (2015) - [c15]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: 1354-1357 - [p1]Rahul Ramachandran
, Ajinkya Kulkarni, Xiang Li, Roshan Sainju, Rohan Bakare, Sabin Basyal:
Use of Semantic Technology to Create Curated Data Albums. Semantic Web Enabled Software Engineering 2015: 107-125 - 2013
- [j10]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): 1233-1241 (2013) - [j9]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): 5098-5104 (2013) - 2012
- [j8]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): 33-41 (2012) - [j7]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): 1612-1616 (2012) - [c14]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: 488-494
2000 – 2009
- 2009
- [c13]Rahul Ramachandran
, Sunil Movva, Helen Conover, Christopher Lynnes:
Talkoot Software Appliance for Collaborative Science. IGARSS (5) 2009: 378-381 - [c12]Rahul Ramachandran
, Sara J. Graves, Todd Berendes, Manil Maskey
, C. Chidambaram, Sundar A. Christopher, P. Hogan, Tom Gaskins:
GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. IGARSS (3) 2009: 781-784 - 2008
- [j6]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): 49-57 (2008) - [c11]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: 283-286 - [c10]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: 644-647 - [c9]Sunil Movva, Rahul Ramachandran
, Sara J. Graves, Helen Conover:
Customizable Search Engine with Semantic and Resource Aggregation Capability. CEC/EEE 2008: 376-381 - 2006
- [c8]Rahul Ramachandran
, Xiang Li, Sunil Movva, Sara J. Graves:
A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena. IGARSS 2006: 5-8 - [c7]Nithya N. Vijayakumar, Beth Plale
, Rahul Ramachandran
, Xiang Li:
Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting. IGARSS 2006: 2449-2452 - 2005
- [j5]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:
Service-oriented environments for dynamically interacting with mesoscale weather. Comput. Sci. Eng. 7(6): 12-29 (2005) - [j4]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): 607-618 (2005) - [j3]Hassan A. Babaie, Rahul Ramachandran
:
Application of XML in the geosciences. Comput. Geosci. 31(9): 1079-1080 (2005) - [j2]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): 1126-1134 (2005) - [c6]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: 782-787 - 2004
- [j1]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): 117-124 (2004) - [c5]Rahul Ramachandran, Sara J. Graves, Sunil Movva, Xiang Li:
Agent framework for intelligent data processing. IGARSS 2004: 51 - [c4]Xiang Li, Rahul Ramachandran, Sunil Movva, Sara J. Graves, Glynn A. Germany, Wladislaw Lyatsky, Arjun Tan:
Dayglow removal from FUV auroral images. IGARSS 2004: 3774-3777 - [c3]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: 594-601 - 2002
- [c2]Rahul Ramachandran, Helen Conover, Sara J. Graves, Ken Keiser:
Interchange technology for applications to facilitate generic access to heterogenous data formats. IGARSS 2002: 266-268 - 2000
- [c1]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: 259-264
Coauthor Index
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