Deep Joshi
Papers
1
Total Citations
4
H-Index
1
About
Deep Joshi is a researcher focused on the intersection of planetary science and data-driven engineering, with a particular emphasis on lunar resource characterization. His most notable contribution is the development of a pattern recognition algorithm that leverages high-frequency drilling data to identify and quantify water-ice on the Moon. This work, published in 2020, demonstrates a novel method for estimating moisture content in grout samples by analyzing drilling trends, offering a practical tool for in-situ resource utilization (ISRU) during future lunar missions. While his highly specialized research has garnered 4 citations to date, its significance lies in its potential to transform how we detect and extract water-ice—a critical resource for sustained human presence on the Moon. Joshi’s approach bridges the gap between terrestrial drilling analytics and extraterrestrial exploration, showcasing an innovative application of data science to space geology. His work represents a foundational step toward autonomous, real-time resource assessment on the lunar surface, positioning him as a rising contributor to the field of planetary drilling and ISRU technologies.
Research Focus
Key Achievements
Top Papers
- 1