Dr. Iman Khosravi | Engineering | Best Researcher Award
Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering & Transportation, University of Isfahan, Iran
Dr. Iman Khosravi is an Assistant Professor at the University of Isfahan, Iran, in the Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation. A specialist in Remote Sensing and Photogrammetry, he has made substantial academic and scientific contributions through research, teaching, and interdisciplinary collaborations. He has actively participated in national and industry-based projects and is recognized for his leadership in academic program development and innovation. His scientific expertise is grounded in image processing, pattern recognition, and surveying technologies, where he continues to shape the future of geomatics education and research.
profile
Education
Dr. Khosravi obtained his Ph.D. in Remote Sensing Engineering in 2018 from the University of Tehran, one of Iran’s leading institutions for advanced studies in geographical sciences. Following his doctoral completion, he further refined his research skills as a postdoctoral researcher in the Department of Remote Sensing & GIS, Faculty of Geography, University of Tehran. This strong academic foundation enabled him to pursue a comprehensive academic and research career with a focus on both theoretical knowledge and applied innovations.
Experience
Currently serving as an Assistant Professor at the University of Isfahan, Dr. Khosravi brings years of practical and academic experience in the fields of geomatics, surveying, and remote sensing. His academic role is complemented by his service in various departmental and institutional leadership positions, including roles as Educational Deputy, Research Deputy, and Deputy of the Industry Relations Office. He also directs the Specialized Career Guidance and Employment Center, fostering industry-academia connections. His background includes supervising national projects and offering consultancy in remote sensing and surveying engineering initiatives.
Research Interest
Dr. Khosravi’s research is centered on the integration and advancement of radar and optical remote sensing, photogrammetry, and high-resolution image processing for geospatial applications. He is especially focused on the development of object-oriented image analysis and the application of pattern recognition techniques to spatial data. His work often explores the synergy between theoretical models and real-world application, including environmental monitoring and urban infrastructure assessment through advanced survey techniques. He is also committed to innovation in unmanned aerial vehicle (UAV) photogrammetry and educational methods in analytical photogrammetry.
Award
Dr. Khosravi is nominated for the Best Researcher Award in recognition of his remarkable publication record, multidisciplinary contributions, and academic leadership. With more than 25 peer-reviewed journal articles indexed in SCI and Scopus, over 300 citations, two published textbooks with ISBNs, and involvement in five research projects, he exemplifies academic excellence. His continued efforts to blend scientific rigor with educational advancement and practical implementation position him as a leader in the geomatics research community.
Publication
Among his published work, the following are selected key contributions:
“Urban Green Space Classification Using Object-Oriented Techniques” (2017, Remote Sensing Letters) – Cited by 32 articles.
“Fusion of Radar and Optical Imagery for Surface Change Detection” (2018, International Journal of Applied Earth Observation and Geoinformation) – Cited by 27 articles.
“Object-Based Image Analysis in Agricultural Monitoring” (2019, GIScience & Remote Sensing) – Cited by 19 articles.
“UAV-Based Photogrammetry for Urban Infrastructure Mapping” (2020, ISPRS International Journal of Geo-Information) – Cited by 15 articles.
“Pattern Recognition in High-Resolution Satellite Imagery” (2021, Sensors) – Cited by 11 articles.
“Integration of GIS and Remote Sensing for Land Use Planning” (2022, Land Use Policy) – Cited by 9 articles.
“Machine Learning Approaches in Remote Sensing Classification” (2023, Computers & Geosciences) – Cited by 6 articles.
Each of these articles demonstrates his commitment to advancing remote sensing techniques and their applications across diverse fields, reflecting strong interdisciplinary relevance.
Conclusion
Dr. Iman Khosravi exemplifies the qualities of a top-tier researcher through his commitment to high-impact research, publication excellence, academic authorship, and service to the scholarly and professional communities. His holistic contribution to the fields of remote sensing and geomatics engineering makes him an outstanding candidate for the Best Researcher Award. His continued pursuit of innovation and mentorship ensures that his influence extends beyond publications—nurturing future scholars and fostering cross-sector collaboration.