Raisa Karnik
Papers
1
Total Citations
2
H-Index
1
About
Raisa Karnik is a leading researcher at the intersection of computer vision, disaster robotics, and geospatial data science. Her work focuses on developing large-scale benchmark datasets and algorithms to enable autonomous damage assessment and spatial alignment from small uncrewed aerial systems (sUAS) imagery. Her most notable contribution is the creation of the CRASAR-U-DROIDs dataset, a comprehensive benchmark for building alignment and damage assessment in georectified sUAS imagery. This dataset, published in 2024, provides a critical foundation for training and evaluating machine learning models used in post-disaster response, enabling faster and more accurate damage mapping. While still early in its impact, this work has already garnered 2 citations and is poised to become a standard resource in the field. Karnik’s research is instrumental in advancing the capabilities of autonomous systems for humanitarian aid, search and rescue, and infrastructure monitoring, making her a rising voice in the application of AI to real-world disaster scenarios.
Research Focus
Key Achievements
Top Papers
- 1