1. What’s Up On The Roof: Tracking Cool Roofs in India with Satellite Imaging - ACM Journal on Computing and Sustainable Societies, 2024
2. Evaluation of computer vision pipeline for farm-level analytics: A case study in Sugarcane - In ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), 2024
3. Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Agriculture Vision, 2024
Research Experience
Currently, Assistant Professor at Plaksha University; Previously at MSR, IITD, QCOM. Leads the Geospatial Computer Vision Group, focusing on using self-supervised learning techniques to build scalable and generalizable models, applicable to areas in urban planning and agriculture.
Background
Research Interests: Applied research that drives sustainable communities by reducing the information gap among various stakeholders, e.g., information about heat islands in the city, or information about crop health to an insurance company. Professional Field: Techniques from computer vision, machine learning, and embedded systems. Brief Introduction: Leads the Geospatial Computer Vision Group at Plaksha University, focused on developing state-of-the-art geospatial intelligence for supporting domains across urban climate, agriculture, and water security.