Le Jiao | Soil Quality | Best Researcher Award

Dr. Le Jiao | Soil Quality | Best Researcher Award

Dr. Le Jiao, Agro-Environmental Protection Institute, China

Dr. Le Jiao is an Assistant Researcher at the Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, China. Her research focuses on soil environmental monitoring technologies and the analysis of agricultural pollution sources. With a Ph.D. in Environmental Science from Beijing Normal University, Dr. Jiao has published extensively on topics such as heavy metal contamination, biochar remediation, and ecological risk assessment. She also serves on the youth editorial board of Agricultural Environment and Sustainability, contributing to advancements in sustainable agriculture and environmental protection.

Profile

Scopus

Summary:

Dr. Le Jiao is a dedicated environmental scientist making substantial contributions to the understanding and mitigation of agricultural pollution. Her applied research is both scientifically rigorous and socially relevant, particularly in addressing soil contamination using innovative remediation technologies. Her publication record, technical skills, and institutional affiliation position her as a promising and impactful researcher in the field.

🎓 Education

Le Jiao holds a Doctoral degree in Environmental Science from Beijing Normal University (2016–2022). Prior to that, Jiao earned a Master’s degree in Agricultural Entomology and Pest Control (2011–2014) and a Bachelor’s degree in Plant Protection (2007–2011), both from Shandong Agricultural University.

💼Experience

Le Jiao currently serves as an Assistant Researcher in the Agriculture Environment Monitoring and Early Warning Innovation Team at the Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs. Jiao began this role in July 2022 and has since contributed to national efforts in agricultural environmental monitoring and pollution analysis.

🔬Research Focus

Le Jiao’s research primarily focuses on developing and applying technologies for monitoring soil environmental health and analyzing pollution sources in agriculture. This includes studying the remediation of contaminated soils using biochar, the ecological risks of heavy metals, and the application of machine learning models in predicting soil contamination. Jiao also explores plant-pollinator dynamics and plant population ecology in response to habitat changes and soil feedback, contributing to both agricultural sustainability and ecosystem conservation.

🛠️Skills

Jiao’s expertise spans soil environmental monitoring technologies, source analysis of agricultural pollution, ecological modeling, and the application of biochar in soil remediation. The work demonstrates a strong command of field-based data collection, machine learning techniques for pollution prediction, and plant-soil ecological interactions.

🏆Awards

While the resume does not list formal awards, Jiao’s appointment to the youth editorial board of the journal “Agricultural Environment and Sustainability” reflects recognition within the academic community.

📚 Publications

Title: Ecological risk evaluation of heavy metals based on hyperspectral: a case study of rice paddy soil in Xiangtan County, China
Authors: Tsogtbaatar, Undrakhtsetseg; Huo, Lili; Jiao, Le; Dalantai, Sainbayar; An, Yi; Batsaikhan, Bayartungalag; Jugnee, Unurnyam; Natsagdorj, Boldbaatar; Batsaikhan, Tsogtjargal; Munkhchuluun, Baasantsog
Year: 2025
Journal: Environmental Monitoring and Assessment

Conclusion:

Dr. Le Jiao is highly suitable for the Research for Best Researcher Award. Her achievements in environmental monitoring, sustainable agriculture, and ecological modeling represent the qualities celebrated by this award. With continued growth in research leadership and international visibility, she is poised to become a leading figure in agro-environmental sciences.

Nafiseh Kakhani | Soil Mapping | Best Researcher Award

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.

Alemayehu kiflu | Soil | Best Researcher Award

Dr. Alemayehu kiflu | Soil | Best Researcher Award

Dr. Alemayehu Kiflu, Hawassa University, Ethiopia

Dr. Alemayehu Kiflu is a Lecturer and Researcher at Hawassa University, Ethiopia, specializing in soil science. He holds a Ph.D. in Soil Science from Hawassa University, where he also completed his MSc. His research focuses on soil chemistry, fertility, classification, and land use impacts on soil properties. Dr. Kiflu has expertise in soil survey, sampling techniques, and laboratory analysis, including spectrophotometric methods. He has published extensively on phosphorus dynamics, soil reclamation, and problem soils in Ethiopia. With over 15 years of academic experience, he plays a key role in teaching and advancing soil research for sustainable agriculture.

Profile

Scopus

Summary:

Dr. Alemayehu Kiflu is a highly qualified researcher with a strong track record in soil science. His research contributions have addressed critical issues related to soil fertility, acid soil management, and land use impacts. His expertise in laboratory techniques and field studies, combined with his extensive teaching experience, positions him as a strong candidate for the Best Researcher Award.

🎓 Education

Alemayehu Kiflu holds a Ph.D. in Soil Science from Hawassa University, which he completed in April 2018. Prior to that, he earned his MSc in Soil Science from the same university in 2007. His academic journey began with a BA degree in Geography from Bahir Dar University, awarded in 2003.

💼Experience

Since July 2007, Alemayehu has been serving as a Lecturer and Researcher at Hawassa University, College of Agriculture. He has played a key role in teaching various Soil Science courses and has held multiple positions within the university. His research contributions primarily focus on soil chemistry, genesis, and fertility, where he has actively participated in numerous studies.

🔬Research Focus

Alemayehu’s research primarily revolves around soil chemistry, fertility, and classification. He has extensively studied the effects of different land use systems on soil properties, the characterization of problem soils in the Ethiopian Rift Valley, and phosphorus availability in acid and sodic soils under various reclamation approaches. His work contributes to soil management strategies aimed at improving agricultural productivity and sustainability.

🛠️Skills

Alemayehu possesses strong laboratory skills and is proficient in operating various soil science laboratory instruments, including Atomic Absorption Spectrophotometers and Spectrophotometers. His expertise extends to fieldwork, particularly in soil classification, soil survey, and sampling techniques, which are crucial for soil research and management.

🏆Awards

His contributions to soil science have been recognized through his extensive research and publications, particularly in the areas of land use effects on soil properties, soil fertility management, and phosphorus fractionation in different soil conditions.

📚 Publications

  • Title: Interactions among Acid Soil Management Practices Enhance Grain Yield and Economic Benefit of Barley Production

    • Authors: C. Adamu, Chigign; W.G. Worku, Walelign Girmay; B. Abate, Berhanu; A. Kiflu, Alemayehu
    • Journal: Journal of Soil Science and Plant Nutrition
    • Year: 2025
  • Title: Morphological and physiological plasticity of tomato in response to Azolla fern, a novel organic fertilizer of environmentally friendliness

    • Authors: Y.G. Zeleke, Yenetiru Getaw; A. Haile, Ashenafi; A. Kiflu, Alemayehu; H. Alemayehu, Habtamu
    • Journal: Heliyon
    • Year: 2024

Conclusion:

Dr. Alemayehu Kiflu is a highly suitable candidate for the Best Researcher Award. However, to further strengthen his profile, he could enhance his research visibility, secure more funding, and engage in interdisciplinary collaborations. Overall, his work significantly contributes to sustainable agriculture and soil management, making him a deserving nominee for this recognition.

Bernard Omomoh | Soil Science | Best Researcher Award

Mr. Bernard Omomoh | Soil Science | Best Researcher Award

Mr. Bernard Omomoh, Federal University of Technology, Nigeria

Bernard Omomoh is a researcher in Forestry and Wood Technology at the Federal University of Technology, Akure, Nigeria. His work focuses on forest ecology, biodiversity conservation, invasive species management, and ecosystem restoration. With extensive experience in plant taxonomy, herbarium management, and soil seed bank studies, he has contributed to multiple international research collaborations. He has received grants from institutions like Florida International University and IDEA WILD. Bernard is skilled in data analysis, ecological assessments, and forest measurement techniques, making significant contributions to sustainable forest management and conservation in Nigeria.

Profile

Scopus

Summary:

Mr. Bernard Omomoh is a strong candidate for the Best Researcher Award, given his expertise in forestry, biodiversity conservation, and ecosystem restoration. His extensive publication record, international collaborations, and field research experience make him a distinguished researcher in his field.

🎓 Education

Omomoh Bernard Eromosele holds a Higher National Diploma from the Federal College of Forestry, Ibadan, where he studied the effects of different provenances on Thaumatococcus daniellii. He obtained a Postgraduate Diploma from the Federal University of Technology, Akure, investigating altitudinal influences on plant diversity. His Master of Technology from the same university focused on species diversity and soil seed banks in different land-use types. He earned a Bachelor of Science from the Federal University, Oye-Ekiti, where he studied the impact of invasive species on native plant diversity. Additionally, he completed a certificate in Tropical Botany at Florida International University, gaining expertise in tropical plant taxonomy and laboratory techniques.

💼Experience

Omomoh is a researcher and laboratory technologist in Forestry and Wood Technology at the Federal University of Technology, Akure. His work includes supervising research on tree crop cultivation, nursery practices, and seed technology. He has significant teaching experience in silviculture, forest soil science, and plant taxonomy. Previously, he worked as a field and laboratory assistant at Obafemi Awolowo University, gaining expertise in plant identification and herbarium management. He also completed an internship at the University of Ibadan Botanical Garden. As a research assistant at the Centre for Research and Development, he has contributed to field experiments, plant identification, and grant-funded research.

🔬Research Focus

Omomoh’s research covers forest ecology, biodiversity conservation, invasive species management, soil seed banks, and ecosystem restoration. His work examines how land-use changes impact plant diversity and regeneration potential. He collaborates internationally on plant systematics, species adaptation, and conservation strategies, particularly in Nigeria’s forest ecosystems.

🛠️Skills

Omomoh is proficient in data science and statistical analysis, using R, ANOVA, regression, and data visualization tools like ggplot, Prism, and Origin. He has expertise in plant identification, forest measurement, and herbarium management. His technical skills include operating tree measurement instruments such as altimeters, clinometers, and GPS devices.

🏆Awards

He has received multiple research grants, including a $4,000 scholarship from Florida International University for tropical botany studies and a $1,500 IDEA WILD grant for research equipment. He was also awarded funding from Botanic Gardens Conservation International and the International Institute of Tropical Agriculture for conservation projects.

Publications

  • Soil seed bank dynamics of two invasive alien plants in Nigeria: Implications for ecosystem restoration. AoB PLANTS.
  • Authors: Akomolafe, G. F., Rusly, R. R., & Omomoh, B. E.
  • Year: 2024

Conclusion:

 Mr. Bernard Omomoh is highly suitable for the Best Researcher Award due to his significant research contributions in forestry, biodiversity conservation, and ecological restoration. His innovative studies on invasive species, extensive publication record, and international collaborations highlight his impact in the field. Additionally, his expertise in species diversity, soil seed banks, and ecological restoration further strengthens his candidacy. While his work is already influential, enhancing policy engagement and public outreach could further amplify his research impact and visibility.