Jingzhe Wang | Soil Mapping | Best Researcher Award

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Dr. Jingzhe Wang | Soil Mapping | Best Researcher Award

Dr. Jingzhe Wang, Shenzhen Polytechnic University, China

Dr. Jingzhe Wang is a Lecturer at the School of Artificial Intelligence, Shenzhen Polytechnic University, China. He holds a Ph.D. in Environmental Science from Xinjiang University, where his research focused on wetland landscape dynamics in arid regions. His expertise lies in land remote sensing, digital soil mapping, and geospatial data analysis, with a focus on environmental sustainability and global change. Dr. Wang has received several national honors, including the National Scholarship for Doctoral Students and the Remote Sensing Excellent Achievement Award in China.

Profile

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Summary:

Dr. Jingzhe Wang is a promising and productive early-career researcher with a well-defined focus in remote sensing, environmental change, and spatial science. His work is methodologically rigorous, thematically timely, and nationally recognized. He demonstrates a clear upward trajectory in research quality and influence, with publications in high-impact journals and commendable technical capabilities.

🎓 Education

Dr. Jingzhe Wang earned a Ph.D. in June 2019 from the College of Resources and Environmental Science at Xinjiang University, China, under the mentorship of Prof. Jianli Ding. His doctoral research focused on the landscape dynamics of terminal lake wetlands in arid regions, using Ebinur Lake Wetland as a case study. He also holds a Bachelor of Science degree from the School of Resources and Environment at Anqing Normal University, obtained in June 2014.

💼Experience

Currently serving as a Lecturer at the School of Artificial Intelligence, Shenzhen Polytechnic University since March 2022, Dr. Wang holds a permanent academic appointment. Prior to this, he completed a postdoctoral fellowship at the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area, Shenzhen University, from November 2019 to February 2021.

🔬Research Focus

Dr. Wang’s research interests lie at the intersection of Earth observation and digital environmental analysis. He specializes in land remote sensing, global change studies, digital soil mapping, and spatial geographic information science. His ongoing work contributes to advancing environmental sustainability through cutting-edge geospatial technologies.

🛠️Skills

Dr. Wang possesses advanced expertise in spectral modeling using machine learning, alongside proficiency in spectral pretreatment techniques and data mining. His interdisciplinary capabilities support innovative research in geospatial analysis and environmental monitoring.

🏆Awards

His work has been consistently recognized at both national and academic levels. He received the prestigious National Scholarship for Doctoral Students from the Ministry of Education of China in 2018. In 2022, he was honored with the Excellent Academic Papers Award in the Natural Sciences by the Science & Technology Department of Xinjiang. He also earned the Best Oral Report Award at the 2023 Symposium of Remote Sensing of Ecosystems organized by the Ecological Society of China, and was part of a team awarded the Remote Sensing Excellent Achievement Award by the Chinese National Committee for Remote Sensing.

📚 Publications

  • Title: Spatiotemporal analysis of AGB and BGB in China: Responses to climate change under SSP scenarios
    Authors: C. Zhu, Y. Li, J. Ding, X. Chen, Z. Zhang
    Year: 2025
    Journal: Geoscience Frontiers

  • Title: Hierarchical 2-D/3-D Object-Based Classification of Photogrammetric Textured Mesh Models
    Authors: Z. Hu, J. Zhang, Z. Liu, Q. Zhang, G. Wu
    Year: 2025
    Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Title: Effects of degraded land surface water on spatiotemporal distribution of regional aerosols over northwest China
    Authors: J. Wang, J. Ding, X. Chen, X. Ge, Y. Wu
    Year: 2025
    Journal: Dili Xuebao / Acta Geographica Sinica

  • Title: Soil Organic Carbon Sequestration Potential, Storage, and Influencing Mechanisms in China
    Authors: J. Cao, Z. Zhang, J. Ding, X. Ge, J. Wang
    Year: 2025
    Journal: Land Degradation and Development

  • Title: Unveiling the Dynamic Patterns and Driving Forces of Soil Organic Carbon in Chinese Croplands From 1980 to 2020
    Authors: J. Ai, Z. Zhang, C. Yang, X. Chen, J. Wang
    Year: 2025
    Journal: Land Degradation and Development

  • Title: UAS-based remote sensing for agricultural monitoring: Current status and perspectives
    Authors: J. Wang, S. Zhang, I. Lizaga, Q. Huang, Z. Hu
    Year: 2025

  • Title: Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase
    Authors: X. Ma, R. Ma, Z. Ma, C. Wang, F. Han
    Year: 2024
    Journal: Scientific Reports

  • Title: Scale matters: How spatial resolution impacts remote sensing based urban green space mapping?
    Authors: Z. Hu, Y. Chu, Y. Zhang, J. Wang, G. Wu
    Year: 2024
    Journal: International Journal of Applied Earth Observation and Geoinformation

  • Title: The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis
    Authors: J. Chen, Y. Wang, J. Wang, F. Lu, Z. Hu
    Year: 2024
    Journal: Remote Sensing

  • Title: Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
    Authors: S. Cheng, X. Yang, G. Yang, K. Ren, W. Sun
    Year: 2024
    Journal: International Journal of Applied Earth Observation and Geoinformation

Conclusion:

Dr. Wang is a strong candidate for the Research for Best Researcher Award, especially in the environmental and geospatial domains. With continued advancement in leadership, global outreach, and project funding, he has the potential to evolve into a leading figure in his field.

Abderrahmen AKKACHA | Soil Sciences | Outstanding Soil Survey Project

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Mr. Abderrahmen AKKACHA | Soil Sciences | Outstanding Soil Survey Project

Mr. Abderrahmen Akkacha, University of Chlef, Algeria

Mr. Abderrahmen Akkacha is a soil scientist affiliated with the University of Chlef, Algeria. With a strong background in soil salinity management, sustainable land use, and soil mapping, he has contributed to numerous national and international research initiatives. He is known for his leadership in laboratory management and collaborative projects focused on soil and water conservation in arid and semi-arid regions.

Profile

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Summary:

Mr. Akkacha’s soil survey projects are methodologically robust, environmentally relevant, and regionally impactful. He effectively blends field data with advanced soil science techniques, offering a solid model for modern soil survey work. His focus on semi-arid, saline landscapes makes his work especially important for countries facing desertification and irrigation challenges.

🎓 Education

Abderrahmen Akkacha holds a Ph.D. in Soil Sciences from Tunisia. His academic background is reinforced by specialized training in soil salinity, mapping technologies, and advanced data processing techniques.

💼Experience

He currently serves as Director of a Soil Laboratory in Tunisia and previously held the position of Regional Director at the Regional Agricultural Development Commission (CRDA). Throughout his career, he has coordinated and contributed to numerous international and national research projects focused on soil and water conservation. His expertise has made him a sought-after trainer and speaker at scientific workshops and symposia, and he has collaborated with international institutions such as ICBA, ISRIC, and IWMI.

🔬Research Focus

Abderrahmen’s research is centered on managing soil salinity to enhance productivity in arid and semi-arid regions. He is dedicated to sustainable land use strategies to combat desertification, as well as exploring soil-water-plant interactions to optimize irrigation and crop performance. He also plays a key role in national and international soil health monitoring initiatives.

🛠️Skills

His skills include soil salinity mapping and management, laboratory analysis, GIS and remote sensing applications, project leadership, and training delivery. He is multilingual, fluent in Arabic, French, and English, which enhances his ability to work across diverse regions and cultures.

🏆Awards

Abderrahmen has received several national awards for his work in soil health and sustainable agriculture. He has also been recognized by the Tunisian Ministry of Agriculture and supported through international participation grants for his involvement in global soil salinity and mapping projects.

📚 Publications

Title: Investigating the Impact of Salinity on Soil Organic Matter Dynamics Using Molecular Biomarkers and Principal Component Analysis
Year: 2025
Author: Abderrahmen Akkacha
Journal: Sustainability

Title: Study of the Seasonal Dynamics of Salts in the Irrigated Soils in Semi-Arid Region: Case of Lower-Cheliff (Algeria)
Year: 2024
Author: Abderrahmen Akkacha
Journal: African Journal of Biological Sciences

Conclusion:

Mr. Abderrahmen Akkacha demonstrates all the key qualities of an outstanding soil survey researcher: field expertise, methodological innovation, regional relevance, and scientific integrity. With further growth in spatial analysis and interdisciplinary collaboration, his projects could serve as a benchmark for future soil survey initiatives. He is highly recommended for the Research for Outstanding Soil Survey Project Award.

Javad Varvan | Soil Science | Best Researcher Award

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Prof. Javad Varvani | Soil Science  | Best Researcher Award

Prof.  Javad Varvan, Islamic Azad University,Iran

Dr. Javad Varvani is an Associate Professor at the Faculty of Agriculture and Natural Resources, Islamic Azad University, Arak Branch. He holds a Ph.D. in Watershed Sciences and specializes in hydrology, soil conservation, and environmental pollution. With over 20 years of academic and consultancy experience, he has led numerous research projects in sediment transport, groundwater vulnerability, and climate analysis. His expertise in GIS and remote sensing supports his work in environmental monitoring and sustainable resource management. Dr. Varvani has published extensively in high-impact journals and is recognized for his interdisciplinary contributions to environmental science.

Profile

scopus

Summary:

Dr. Javad Varvani stands out as a knowledgeable, experienced, and forward-thinking researcher whose contributions align perfectly with the expectations of a Best Researcher Award. His work bridges theory and practice, tackling real-world environmental challenges through a multidisciplinary lens. His academic output, collaborations, and use of emerging technologies like remote sensing make him a strong contender.

🎓 Education

Dr. Javad Varvani holds a Ph.D. in Watershed Sciences with a specialization in Sediment-Hydrology from Azad University. He earned both his Master’s and Bachelor’s degrees in Watershed Management from the University of Tehran. His academic journey reflects a strong foundation in environmental and earth sciences, with a particular focus on hydrological systems and soil conservation.

💼Experience

Dr. Varvani is an Associate Professor at the Faculty of Agriculture and Natural Resources, Islamic Azad University, Arak Branch. He has over 20 years of academic and field experience in environmental science, particularly in hydrology, soil management, and climate analysis. He has led numerous national and international research initiatives, contributed to policy-related environmental assessments, and directed consultancy projects in watershed management, irrigation system design, and sediment control. He also served for over eight years as the head of a consulting company specializing in the design and implementation of irrigation systems.

🔬Research Focus

Dr. Varvani’s research spans multiple domains within environmental and earth sciences. His primary focus areas include environmental pollution management, water resource sustainability, soil and land management, and climate impact assessment. He has studied heavy metal contamination in soil and water, flood hydrology, sediment yield, and groundwater vulnerability. He also applies GIS and remote sensing technologies to monitor vegetation, assess land use changes, and evaluate environmental risks. His ecological research includes biodiversity studies in wetlands and rangelands, as well as phytoremediation strategies. Dr. Varvani’s work emphasizes the integration of scientific innovation with practical solutions for sustainable environmental management.

🛠️Skills

Dr. Varvani possesses a wide range of technical and analytical skills, including watershed and flood hydrology, sediment transport modeling, groundwater analysis, and soil erosion assessment. He is proficient in the use of GIS and remote sensing tools for environmental analysis, landscape monitoring, and pollution mapping. He also applies advanced statistical and modeling methods in climate and evapotranspiration studies, and has expertise in designing sustainable irrigation systems for agricultural and industrial sectors.

🏆Awards

While specific awards are not listed, Dr. Varvani’s impact is evident through his publication in high-impact journals, citation indices, and his leadership roles in research and consulting. His scholarly work has earned him a total of 273 citations, including 196 since 2020, and an h-index of 8. His published book, “Sediment Hydrology of Watersheds,” reflects his commitment to academic excellence and practical application in his field.

📚 Publications

 

Title: Evaluating pasture cover density mapping: a comparative analysis of Sentinel-2 and Spot-5 multispectral sensor images
Authors: Taha Mansouri, Javad Varvani, Hamid Toranjzar, Nourollah Abdi, Abbas Ahmadi
Year: 2024
Journal: Applied Water Scienc

Conclusion:

Dr. Javad Varvani is a highly competitive candidate for the Best Researcher Award. His commitment to advancing soil science, environmental sustainability, and water resource management through innovative research makes him not only deserving of recognition but also a role model in the scientific community. With slight expansion into patenting, international engagement, and community-focused initiatives, he could further strengthen his global influence.

Nafiseh Kakhani | Soil Mapping | Best Researcher Award

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Dr. Nafiseh Kakhani | Soil Mapping | Best Researcher Award

Dr. Nafiseh Kakhani, Eberhard Karls University of Tübingen, Germany

Dr. Nafiseh Kakhani is a researcher and lecturer at Eberhard Karls University of Tübingen, Germany, specializing in Earth observation, remote sensing, and machine learning. She holds a PhD in Remote Sensing Engineering from K. N. Toosi University of Technology, Tehran, where she focused on spectral-spatial classification of high-resolution multispectral images. Her research interests include AI-driven geospatial analysis, explainable machine learning, digital soil mapping, and land cover classification. She has extensive experience in deep learning, computer vision, and statistical modeling for environmental applications. Dr. Kakhani has received prestigious awards, including the Best Poster Award at the 2023 IEEE IADF-GRSS School, and has published widely in her field.

Profile

Scopus

Summary:

Dr. Kakhani is a strong candidate for the Best Researcher Award due to her innovative contributions to explainable AI applications in soil science. Her interdisciplinary research and ability to integrate AI-driven approaches into environmental studies make her work highly relevant and impactful. She has contributed significantly to understanding soil organic carbon dynamics, a crucial factor in climate change mitigation and sustainable agriculture.

🎓 Education

Nafiseh Kakhani holds a PhD in Remote Sensing Engineering from K N Toosi University of Technology in Tehran, Iran, where she specialized in spectral-spatial classification of high-resolution multispectral images using segmentation methods. She completed her MSc in Remote Sensing Engineering from the same university, focusing on integrating neural networks and fuzzy systems to improve classification methods in hyperspectral images. She earned her BSc in Geomatics and Geodesy Engineering from the University of Isfahan, where she developed a statistical classification method for Multi-Beam Echo Sounder data.

💼Experience

She is currently an Earth Observation and Machine Learning Scientist at The LandBanking Group GmbH in Munich, where she applies machine learning techniques to environmental monitoring and land assessment. Previously, she was a Postdoctoral Researcher and Lecturer at the University of Tübingen, where she conducted research in remote sensing and taught courses on deep learning, photogrammetry, and the fundamentals of remote sensing. She has also worked at the Iranian Space Agency, focusing on remote sensing sensor calibration and spectral library preparation. Additionally, she has mentored Master’s students in GIS, remote sensing, and machine learning and has been a guest speaker at international workshops and conferences.

🔬Research Focus

Her research focuses on computer vision for Earth observation, explainable machine learning, deep learning, statistical machine learning, pattern recognition, and Earth system science. She has worked extensively on AI-driven geospatial analysis, digital soil mapping, land cover classification, and the development of deep learning frameworks for remote sensing applications.

🛠️Skills

She is proficient in Python, using libraries such as PyTorch, TensorFlow, and Scikit-learn, as well as MATLAB and JavaScript for Google Earth Engine applications. She has expertise in geospatial software, including ArcGIS, QGIS, ENVI, ERDAS IMAGINE, and Agisoft Metashape. She is experienced in cloud computing platforms such as Google Cloud, AWS, and Tübingen ML Cloud, enabling her to process large-scale remote sensing datasets efficiently.

🏆Awards

She received the Best Poster Award at the 2023 IEEE IADF-GRSS School for her work on SoilNet, a spatio-temporal deep learning framework for digital soil mapping. She was a top-ranked graduate student in both her MSc and BSc programs and was admitted to her MSc without an entrance exam, a privilege reserved for exceptional students in Iran.

📚 Publications

Publication: Towards Explainable AI: Interpreting Soil Organic Carbon Prediction Models Using a Learning-Based Explanation Method

Authors: N. Kakhani, R.T. Mehrjardi, D. Omarzadeh, U. Heiden, T.J. Scholten

Journal: European Journal of Soil Science

Year: 2025

Conclusion:

Dr. Nafiseh Kakhani is a highly suitable candidate for the Best Researcher Award. While there is always room for further growth, her expertise and achievements in applying AI to soil science place her among the leading researchers in this field.