Earth Science Deep Learning: Applications and Lessons Learned. - Manil Maskey; Rahul Ramachandran; Jeffrey J. Miller; Jia Zhang 001; Iksha Gurung (IGARSS, 2018)

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 (IGARSS, 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 (IGARSS, 2019)

Deep feature extraction and its application for hailstorm detection in a large collection of radar images. - Iksha Gurung; Chao Peng 003; Manil Maskey; Rahul Ramachandran (Signal Image Video Process., 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)

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 (IGARSS, 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)

Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. - Manil Maskey; Michael Falkowski; Kevin Murphy; Olaf Veerman; Ricardo Mestre; Iksha Gurung; Muthukumaran Ramasubramanian; Lillianne Thomas; Zhuangfang Yi; Drew Bollinger; Abigail Seadler; Yvonne Ivey (IGARSS, 2021)

Augmenting Data Systems with Prediction based Embeddings. - Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Carson Davis; Derek Koehl; Manil Maskey; Tsengdar J. Lee (IGARSS, 2021)

Artificial Intelligence Vis-à-Vis Data Systems. - Manil Maskey; Rahul Ramachandran; Iksha Gurung; Muthukumaran Ramasubramanian; Anirudh Koul (IGARSS, 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 (IGARSS, 2022)

Exploring Blockchain to Support Open Science Practices. - Iksha Gurung; Slesa Adhikari; Abdelhak Marouane; Rajesh Pandey; Satkar Dhakal; Manil Maskey (IGARSS, 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 (IGARSS, 2023)

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. - Lillianne Thomas; Slesa Adhikari; Iksha Gurung; Aaron Kaulfus; Muthukumaran Ramasubramanian; Manil Maskey; Rahul Ramachandran (IGARSS, 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; et al. (CoRR, 2023)

Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. - Muthukumaran Ramasubramanian; Iksha Gurung; Shubhankar Gahlot; Ronny Hänsch; Andrew L. Molthan; Manil Maskey (CoRR, 2023)

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; et al. (EMNLP (Industry Track), 2024)

Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. - Kaylin M. Bugbee; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Ge Peng; Deborah K. Smith; Iksha Gurung; Ashish Acharya; Jerika Christman (IGARSS, 2024)

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 (IGARSS, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - 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; et al. (CoRR, 2024)

Challenges in Guardrailing Large Language Models for Science. - Nishan Pantha; Muthukumaran Ramasubramanian; Iksha Gurung; Manil Maskey; Rahul Ramachandran (CoRR, 2024)

Toward Open Earth Science as Fast and Accessible as Natural Language. - Marquita Ellis; Iksha Gurung; Muthukumaran Ramasubramanian; Rahul Ramachandran (CoRR, 2025)

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction. - 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; et al. (CoRR, 2025)