Ankit Kariryaa

Ankit Kariryaa is a Tenure Track Assistant Professor at the Department of Computer Science and Department of Geosciences and Natural Resource Management, University of Copenhagen. His work bridges Machine Learning and Environmental Informatics, focusing on remote sensing, geospatial analysis, and ecological modeling.

• University of Copenhagen, Denmark
• Machine Learning Section, Department of Computer Science
• Geography, Land, Environment and Society, Department of Geosciences

Kariryaa specializes in applying deep learning and computer vision to environmental challenges. His research includes:

• Automated tree detection and biomass estimation via satellite imagery
• Multi-modal geospatial representation learning
• Monitoring farmland tree decline and carbon sequestration potential
• Agroforestry system mapping using AI
• Developing AI tools for climate policy and sustainability

Recent work trends show a focus on quantum-inspired machine learning, environmental monitoring, and cross-cultural AI applications. His 15 most recent publications span topics in remote sensing, ecological modeling, and AI ethics, with methods ranging from neural networks to tensor-based learning.

He collaborates across disciplines, notably with researchers in ecology, climate science, and quantum computing. His outreach includes seminars on AI in agroforestry and ecosystem management, while his team contributes to global tree resource databases like TreeSense.