Mostafa Kabolizadeh | Environmental Science | Research Excellence Award

Published on by Innovation Technologist

Prof. Mostafa Kabolizadeh | Environmental Science | Research Excellence Award

Associate Professor at Shahid Chamran University of Ahvaz | Iran

Prof. Mostafa Kabolizadeh is an accomplished researcher and academic with recognized expertise in geomatics, photogrammetry, remote sensing, and spatial data science, contributing significantly to the advancement of geospatial technologies and their real-world applications. His scholarly work integrates LiDAR, satellite image processing, spatial analysis, and artificial intelligence to address complex challenges in mapping, environmental monitoring, disaster management, and wildlife conservation. He has demonstrated strong research leadership through the successful completion and coordination of numerous competitive research and consultancy projects, bridging theoretical innovation with applied solutions for industry and public-sector needs. His publication portfolio includes a substantial body of peer-reviewed journal articles in high-impact international and national outlets, reflecting sustained contributions to image processing, pattern recognition, optimization algorithms, and 3D reconstruction. He is also the author of an academic book that supports knowledge dissemination in geomatics and remote sensing. In addition to research productivity, he plays an active role in shaping the scientific community through professional service, society leadership, and collaborative research initiatives that foster interdisciplinary and applied geospatial science. His work emphasizes the integration of advanced algorithms and web-based GIS platforms for scalable spatial decision-making. Through mentoring, collaboration, and innovation, he has contributed to capacity building in remote sensing and surveying, while advancing methodological rigor and technological adoption across geospatial disciplines. His research continues to influence academic scholarship and applied practices by promoting data-driven, intelligent, and sustainable spatial solutions across environmental, engineering, and societal domains.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Balouei, F., Kabolizadeh, M., & Rabiei-Dastjerdi, H. (2026). A novel high-resolution soil-moisture mapping using Sentinel-1 imagery and optimization-based for a new precise remote sensing drought index. International Journal of Environmental Science and Technology.

Zaheri Abdehvand, Z., & Kabolizadeh, M. (2025). Improving the temporal and spatial accuracy of the normalized difference vegetation index (NDVI) map using satellite image fusion algorithms. Journal of Applied Research in Geographical Sciences.

Karimi, D., Kabolizadeh, M., Rangzan, K., Zaheri Abdehvand, Z., & Balouei, F. (2025). New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy. International Journal of Environmental Science and Technology.

Pourmorad, S., Kabolizadeh, M., & Dimuccio, L. A. (2024). Artificial intelligence advancements for accurate groundwater level modelling: An updated synthesis and review. Applied Sciences, 14(16), 7358.

Kabolizadeh, M., Rangzan, K., Mohammadi, S., & Rabiei-Dastjerdi, H. (2024). Challenges of rainfall erosivity prediction: A novel GIS-based optimization algorithm to reduce uncertainty in large country modeling. Earth Science Informatics.

Melkamu Abere Erku | Ecology | Best Research Article Award

Published on by Innovation Technologist

Mr. Melkamu Abere Erku | Ecology | Best Research Article Award

Ethiopian Forestry Development Bahir Dar Center | Ethiopia

Mr. Melkamu Abere Erku is a dedicated forest researcher with extensive expertise in forest ecology, biodiversity, and sustainable forest resource management. His work spans a wide range of topics, including tree species composition, forest structure, growth performance, biomass assessment, and the utilization of non-timber forest products such as gum, resin, and wild fruits. He has conducted in-depth studies on African baobab (Adansonia digitata), exploring its population status, phenological characteristics, germination responses, and traditional uses among different ethnic groups, as well as research on highland and lowland bamboo species in Ethiopia. Melkamu applies advanced field survey techniques and statistical analyses using software such as SPSS, SAS, and R to derive insights from ecological and forest management data. His research contributes to understanding species-site suitability, forest regeneration, climate change mitigation, and sustainable utilization practices. He has a strong record of scientific publications in international journals and actively disseminates his findings through conferences and workshops. Beyond research, Melkamu is passionate about knowledge sharing, conservation education, and community engagement, including volunteering to support children in need. With skills in project management, data analysis, and forest inventory, he combines scientific rigor with practical strategies for forest conservation and climate-resilient resource management.

Profile: Orcid

Featured Publications

Tesema, H. A., Abere, M., & Yimer, H. (2025). Identification and utilization of underutilized gum‐ and resin‐bearing tree species in two districts of Somali Region, Ethiopia. International Journal of Forestry Research.

Mengistu, M. A., Abere, M., Gasheye, D., Asfaw, M. J., & Ayana, D. A. (2025). Germination response and seedling growth performance of Adansonia digitata L. tree seeds under innocuous pre-treatment techniques for efficient seedling production. Rhizosphere.

Gasheye, D., Abere, M., Ayal, M., Yilma, Z., Getahun, A., Getnet, A., & Worku, T. (2025). Population structure, phenological characteristics, and fruit yield potential of Ximenia americana in Quara district, Alitash National Park, West Gondar Zone of Ethiopia. Discover Plants.

Worku, T., Abere, M., Guday, S., Getie, S., Teshager, Z., Agidie, A., & Eshete, A. (2025). Growth performance and biomass of selected indigenous tree species in the permanent nursery, Addis Zemen, Northwest Ethiopia. International Journal of Forestry Research.

Abere, M., Yilma, Z., Tsegie, T., Eshete, A., & Alemu, A. (2023). Population structure and phenological attributes of Adansonia digitata L. (baobab) in northwestern lowland area of Ethiopia. Heliyon.