Research & Impact
Exploring the intersection of artificial intelligence and environmental conservation. Our research advances the science of forest restoration through evidence-based innovation.
Current Research
Ongoing studies that are shaping the future of forest restoration technology.
AiFRES Development
AI-powered Forest Restoration Enhancement System
Building comprehensive AI models for forest restoration covering site selection, species recommendation, and restoration technique optimization. Our system integrates satellite imagery, climate data, and ground truth validation across the Himalayan region.
Community Integration Studies
Technology meets traditional knowledge
Understanding how AI tools can best support local decision-making and traditional knowledge systems. Our research explores the integration of community wisdom with scientific data to improve restoration outcomes across diverse cultural contexts.
Published Research
Access our published research papers and scientific contributions to forest restoration and environmental science.
Machine learning to uncover synergies between forest restoration and livelihood support
Rana et al.
Exploring how machine learning can identify opportunities where forest restoration projects simultaneously support local community livelihoods and environmental goals.
Predicting wasteful expenditure in tree planting programs
Rana et al.
Analysis of factors leading to failed tree planting initiatives and development of predictive models to optimize resource allocation in restoration programs.
Exploring Limits to tree planting
Rana and Varshney
Comprehensive study examining the ecological, economic, and social constraints that limit the effectiveness of large-scale tree planting initiatives.
Planting trees at the right places
Rana and Varshney
Strategic framework for optimal site selection in reforestation projects, considering ecological suitability, climate factors, and long-term sustainability.
Planting and replanting: Continuity and change over four decades of forest
Fleischman
Longitudinal study examining forest restoration practices and their evolution over four decades, highlighting lessons learned and future directions.
Collaborate With Us
Join our research efforts or explore partnership opportunities to advance forest restoration science.