Amir Esmaeili

Iran University of Science and Technology

Papers

Total Citations

H-Index

About

Amir Esmaeili’s research lies at the intersection of geo-spatiotemporal intelligence, smart agriculture, and environmental eco-cyber-physical systems. His most-cited work, “Geo-Spatiotemporal Intelligence for Smart Agricultural and Environmental Eco-Cyber-Physical Systems” (2020), has garnered 16 citations, reflecting its foundational role in integrating spatial-temporal data analytics with cyber-physical frameworks to optimize agricultural sustainability and environmental monitoring. Esmaeili’s contributions center on developing intelligent systems that leverage real-time geospatial data to enhance decision-making in precision farming, resource management, and ecological resilience. By bridging the gap between physical environments and digital twins, his research advances adaptive, data-driven solutions for pressing global challenges in food security and climate adaptation. His work is notable for its interdisciplinary approach, merging remote sensing, machine learning, and IoT to create scalable, eco-conscious technologies. Esmaeili’s insights continue to inform both academic inquiry and practical applications, positioning him as a key voice in the evolving field of smart agriculture and environmental cyber-physical systems.