As an agroecologist and modeler, Dr. Mohsen Mesgaran works at the interface of agriculture, ecology, and technology, employing quantitative approaches that utilize a variety of modeling techniques, including statistical/mathematical models, physiological (crop growth) models, and machine learning (AI).
The overarching goal of Dr. Mesgaran's research is to enhance the sustainability of agroecosystems and reduce the environmental impacts of agricultural practices through the integration of ecological principles and technology. His multidisciplinary research integrates (1) basic plant ecology and biology, (2) practical agronomy, and (3) state-of-the-art technology and advanced data modeling to develop "eco-tech" solutions for the ecological management of agricultural and natural systems.
As the Ecological Modeling and Food Security Lead at UNU-INWEH, Dr. Mesgaran formulates and implements research initiatives on ecological modeling and food security, covering topics such as ecological analytics, AI applications in ecological modeling, biological invasions, food security analytics, climate change impacts, water management, and environmental conservation. These initiatives seek impactful, data-driven solutions for food security and a more sustainable future through developing AI-based tools for precision farming, using remote sensing to monitor invasive species spread, and informing policy, His work at UNU-INWEH contributes to bridging science and practical applications to promote sustainable agriculture, resilient human-nature systems, and food security.