Xiang-hua Song | Soil Science | Young Scientist Award

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Assoc. Prof. Dr. Xiang-hua Song | Soil Science | Young Scientist Award

University of Jinan | China

Assoc. Prof. Dr. Xiang-hua Song is a geotechnical engineering scholar at the University of Jinan, China, specializing in slope stability and geological disaster prevention. He received advanced training in civil and geotechnical engineering and has extensive experience leading and participating in national and provincial research projects. His research interests focus on rainfall-induced slope failure, soil–plant–biopolymer reinforcement mechanisms, ecological slope protection, tunnel engineering, and numerical modeling using FLAC3D and PFC3D. Dr. Song has published widely in high-impact SCI journals and top international conferences. His work has received prestigious teaching and research awards, contributing significantly to resilient infrastructure and sustainable geo-environmental engineering.

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Wasiu Akande Ahmed | Plant Pathology | Excellence in Research Award

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Assist. Prof. Dr. Wasiu Akande Ahmed | Plant Pathology | Excellence in Research Award

Hangzhou International Innovation Institute of Beihang University | China

Dr. Ahmed Wasiu Akande is an Assistant Professor at the Hangzhou International Innovation Institute of Beihang University, China, specializing in Global Navigation Satellite Systems (GNSS) and satellite communication. He holds a PhD and MSc in GNSS from Beihang University and advanced degrees in Electrical and Electronic Engineering from Nigeria. His academic experience includes international teaching, supervision, and extensive high-impact publications. His research interests span GNSS signal processing, UAV applications in precision agriculture, GNSS reflectometry, AI-based error mitigation, and climate-smart farming technologies. He is a recipient of multiple academic distinctions, and his work continues to advance satellite-enabled solutions for agriculture, environmental monitoring, and sustainable development.

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Moncef Bouaziz | Soil Fertility | Research Excellence Award

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Dr. Moncef Bouaziz | Soil Fertility | Research Excellence Award

TU Bergakademie Freiberg | Germany

Dr. Moncef Bouaziz is an environmental engineer and remote sensing specialist with extensive academic and applied research experience in environmental monitoring, geospatial analysis, and decision-support systems. He earned his PhD in Environmental Remote Sensing from TU Bergakademie Freiberg, following advanced training in environmental engineering and water and soil management. Since 2022, he has served as scientific staff at TU Bergakademie Freiberg, where he develops spatial decision support systems for post-mining environmental change assessment, leads 3D modeling and platform development, and applies machine learning techniques in Python for remote modeling and forecasting. His academic experience includes prior appointments as an assistant professor at the University of Sfax and as scientific staff at TU Dresden, contributing to projects on land degradation, aeolian dynamics, drought assessment, and ecosystem monitoring. Dr. Bouaziz has coordinated and participated in several nationally and internationally funded research initiatives, including DAAD-supported climate change education platforms and European environmental monitoring programs. His research interests focus on remote sensing–based land degradation analysis, drought prediction, climate change impacts, post-mining hazard assessment, and the integration of machine learning with geospatial data. He has authored numerous peer-reviewed publications in high-impact international journals and actively supervises graduate and undergraduate students. Through interdisciplinary research, teaching, and international collaboration, he aims to advance sustainable environmental management and evidence-based spatial planning.

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Karim Solaimani | Remote Sensing | Best Researcher Award

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Prof. Karim Solaimani | Remote Sensing | Best Researcher Award

Sari Agricultural Sciences and Natural Resources, Iran

Professor Karim Solaimani is a distinguished Iranian environmental scientist and hydrologist affiliated with the Sari Agricultural Sciences and Natural Resources University (SANRU) under the Ministry of Science, Research and Technology of Iran. He earned his Ph.D. in Environmental Remote Sensing and Hydrology from the University of Glasgow, UK, and has since established himself as an eminent scholar in the fields of remote sensing, GIS applications, hydrology, watershed management, and land use planning. His extensive academic contributions include over 85 peer-reviewed journal articles, widely cited in international scientific databases, reflecting significant impact and global recognition. Professor Solaimani’s research integrates geospatial technologies for environmental modeling, sediment yield assessment, and natural hazard mapping, focusing particularly on Iran’s complex hydrological systems. He has received the Excellent National Teaching and Research Professor Award, acknowledging his outstanding contributions to education and research. Over his career, he has collaborated with multidisciplinary teams, supervised numerous postgraduate students, and contributed to the advancement of environmental science through innovation, mentorship, and applied research. His enduring commitment to sustainable land and water resource management continues to influence both academic and practical environmental policy developments in Iran and beyond.

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Featured Publications

Solaimani, K., Darvishi, S., & Shokrian, F. (2024). Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping. Environmental Science and Pollution Research.

Solaimani, K. (2023). A new approach to landslide assessment using Depth-Number fractal model. ECOPERSIA.

Solaimani, K. (2023). Evaluation of effective criteria on flood risk based on network analysis process and GIS in Vazroud basin of Mazandaran province. Ecohydrology.

Solaimani, K. (2023). Investigating alterations in the underground water level of Ravansar-Sanjabi Plain under CIMP5 climate scenarios. Desert Ecosystem Engineering.

Solaimani, K. (2023). Monitoring and forecasting of spatiotemporal changes in land use and the growth of Kermanshah Township using remote sensing and the CA-Markov model. Urban Structure and Function Studies.