Mr. Aref Hesabi | Ecological Modeling | Best Researcher Award

Mr. Aref Hesabi | Ecological Modeling | Ph.D Student at Tarbiat Modares University | Iran

Mr. Aref Hesabi is a dedicated researcher in the field of forest ecology, ecological modeling, and spatial pattern analysis. His academic journey demonstrates a strong commitment to advancing sustainable forest management practices, biodiversity conservation, and habitat suitability studies. He has been recognized for integrating advanced technologies such as UAV-based monitoring, climate data modeling, and remote sensing into ecological research, enabling more accurate assessments of forest dynamics and ecological interactions. Through his scholarly contributions, he has built a reputation as an emerging figure in ecological sciences with the potential to become a leading authority in the field.

Academic Profile:

ORCID

Google Scholar

Education:

Mr. Hesabi pursued his higher education at Tarbiat Modares University, a premier research institution in Iran, where he specialized in forest management and ecological studies. His academic research emphasized the spatial analysis of forest stands, competition dynamics among species, and the use of ecological modeling to predict habitat distributions. Throughout his academic training, he worked closely with experts in phytosociology, seed ecology, and statistical ecology, strengthening his expertise in multidisciplinary approaches to environmental research. His academic background provided him with the methodological and theoretical foundation to undertake complex ecological studies and contribute to the advancement of forest science.

Experience:

Mr. Hesabi has been actively engaged in multiple national and institutional research projects, particularly those focusing on forest regeneration, climate data evaluation, and biodiversity monitoring. His professional journey reflects collaborative work with agricultural and natural resources research centers, as well as faculty teams at leading universities. He has contributed to ecological assessments of protected reserves, the application of UAV technology in forest inventory, and the validation of climate data platforms for environmental planning. His experience also extends to conference participation, where he has shared findings at both national and international levels, furthering academic and professional dialogue on sustainable environmental practices. He has mentored students, participated in joint publications with international scholars, and developed cooperative networks with fellow researchers in ecological modeling and forest management.

Research Interest:

Mr. Hesabi’s research interests center on forest ecology, habitat suitability, species distribution modeling, and the ecological interactions within mixed forest stands. He has focused extensively on the spatial dynamics and regeneration of yew forests, providing insights into conservation strategies for this ecologically significant species. His work also addresses the application of advanced analytical tools, including UAV data processing, GIS mapping, and climate model validation, to monitor forest health and predict ecological changes. These research directions not only contribute to scientific advancement but also offer practical solutions for policymakers and conservation managers.

Award:

In recognition of his contributions to ecological science and his growing impact on the field, Mr. Hesabi has been nominated for prestigious research awards. His publications in indexed journals, consistent collaborations with international experts, and contributions to advancing methodologies in forest management have earned him a reputation as a promising scholar. His candidacy for the Best Researcher Award underscores both the quality of his research outputs and his potential for future leadership in global ecological research.

Selected Publications:

Studying the interaction between English yew (Taxus baccata L.) adult trees and its regeneration in Afratakhteh Forest Reserve — Published 2019 — 6 citations

Evaluation crown height model extracted from the UAV in individual tree detection in Sisangan Forest Park — Published 2022 — 4 citations

Determination of spatial pattern and interspecific competition in mixed yew stand in Afratakhteh Forest — Published 2022 — 3 citations

Evaluation of the accuracy of climatic data from the WorldClim and Chelsa databases in three northern provinces of Iran — Published 2025

Conclusion:

Mr. Aref Hesabi has established himself as an accomplished researcher with a clear vision for the integration of advanced technologies and ecological sciences. His scholarly contributions, ranging from UAV-based monitoring to climate data modeling, provide practical and innovative solutions for forest conservation and sustainable management. With a growing portfolio of publications, citations, and collaborative networks, he represents the next generation of ecological researchers committed to addressing global environmental challenges. His nomination for the Best Researcher Award is a testament to his academic achievements, professional dedication, and potential to make lasting contributions to science and society.