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 (IGARSS, 2020)

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 (IGARSS, 2022)

The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search. - Kaylin M. Bugbee; Ashish Acharya; Emily Foshee; Muthukumaran Ramasubramanian; Carson Davis; Bishwas Praveen; Kartik Nagaraja; Tarun Misra; Shravan Vishwanathan; Stephanie Wingo; Nikita Balsara; Xiang Li 043; et al. (IGARSS, 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)

Nepali Transformers@NLU of Devanagari Script Languages 2025: Detection of Language, Hate Speech and Targets. - Pilot Khadka; Ankit Bk; Ashish Acharya; Bikram K. C.; Sandesh Shrestha; Rabin Thapa (COLING Workshops, 2025)