Zhihua Qiao | Soil | Best Researcher Award

Assoc. Prof. Dr. Zhihua Qiao | Soil | Best Researcher Award

Assoc. Prof. Dr. Zhihua Qiao, Shandong Academy of Agricultural Sciences, China

Assoc. Prof. Dr. Zhihua Qiao is a researcher at the Shandong Academy of Agricultural Sciences, China, specializing in environmental toxicology and pollutant risk assessment. His work focuses on the ecological effects and interaction mechanisms of emerging contaminants, including brominated flame retardants and pesticides, in soil-plant-animal systems. With a PhD in Environmental Science and Engineering from East China University of Science and Technology, Dr. Qiao has published extensively in top-tier SCI journals and has led and contributed to numerous national research projects. His research integrates multi-omics technologies and advanced analytical techniques to understand the bioaccumulation, toxicity, and environmental fate of pollutants.

Profile

Scopus

Summary:

Dr. Zhihua Qiao is a rising research leader in environmental toxicology and ecotoxicological risk assessment. His work on brominated flame retardants, microplastics, heavy metals, and their interaction with soil organisms and plants is both highly relevant and methodologically advanced. His multidisciplinary approach and contributions to top journals signal strong potential for international leadership in his field.

🎓 Education

Zhihua Qiao began his academic journey at Shandong Agricultural University, where he earned a Bachelor’s degree in Pharmaceutical Engineering (Pesticides) from 2014 to 2021, achieving an undergraduate GPA of 3.42/4. He then pursued a Master’s and currently a PhD in Environmental Science and Engineering at East China University of Science and Technology (a national 211 project university), starting in 2021. His doctoral studies are supervised by Professor Zhang Wei and Associate Professor Jiang Xingyin. His academic coursework has included subjects such as Organic Chemistry, Physical Chemistry, Biochemistry, Plant Physiology, Microbiology, and Environmental Toxicology.

💼Experience

Zhihua Qiao has extensive experience in environmental toxicology and pollutant risk assessment, particularly focusing on new brominated flame retardants and pesticides. He has served as the main researcher in national and provincial-level projects under the National Natural Science Foundation of China and the National Key R&D Program. His work includes investigating the bioaccumulation, metabolism, and toxic effects of compounds like decabromodiphenylethane and cadmium in complex systems involving earthworms, plants, and aquatic organisms. He has also studied co-exposure effects, soil and rhizosphere microbial responses, and developed insights into pollutant interaction mechanisms using multi-omics technologies.

🔬Research Focus

His research centers on environmental risk assessment and pollution control of emerging contaminants. He specializes in understanding the toxicity mechanisms of brominated flame retardants, pesticides, and heavy metals through integrated approaches involving transcriptomics, metabolomics, and microbial ecology. His studies span soil-plant-animal systems and emphasize pollutant interactions, oxidative stress, detoxification, and ecological impact, especially in earthworms, lettuce, rice, and zebrafish models.

🛠️Skills

Zhihua Qiao is proficient in advanced research techniques including transcriptomics, metabolomics, 16S rDNA sequencing, XPS, and XRD. He is skilled in operating large-scale analytical instruments such as GC-MS, LC-MS, atomic fluorescence analyzers, flow cytometers, and qPCR machines. With strong English proficiency (CET-6 certified), he is capable of independently writing and translating scientific papers. His capabilities also extend to data processing, experimental design, and collaborative scientific writing.

🏆Awards

Zhihua Qiao has earned numerous awards for his academic excellence and research contributions. These include the National Scholarship for Master’s Students (2019), Outstanding Graduate and Outstanding Master’s Thesis of Shandong Province (2021–2022), Yu Zunhong Scholarship (2023), Green Seedling Program Scholarship of the Beijing Green Future Environment Foundation (2023), and several first-class academic scholarships for both master’s and doctoral studies. He also received the Second Prize at Zhejiang University’s Doctoral Forum on Soil Health and Sustainable Agriculture and the First Prize at the Graduate Academic Forum of East China University of Science and Technology.

📚 Publications

  • Effects of Decabromodiphenyl Ethane and Cadmium Coexposure on Their Bioaccumulation, Oxidative Stress, Root Metabolism, and Rhizosphere Soil Microorganisms in a Soil-Rice System
    2024
    Qiao, Zhihua; Fu, Mengru; Liang, Weiyu; Zhang, Wei; Zhan, Xiuping
    Journal of Agricultural and Food Chemistry

  • Effect of Biodegradable Microplastics and Cd Co-pollution on Cd Bioavailability and Plastisphere in Soil-Plant System
    2024
    Shao, Xuechun; Liang, Weiyu; Gong, Kailin; Shen, Genxiang; Peng, Cheng
    Chemosphere

  • Microbial Metabolism in Wormcast Affected the Perturbation on Soil Organic Matter by Microplastics under Decabromodiphenyl Ethane Stress
    2025
    Han, Yanna; Fu, Mengru; Yang, Yuhe; Peng, Cheng; Zhang, Wei
    Journal of Hazardous Materials

Conclusion:

Assoc. Prof. Dr. Zhihua Qiao is a highly suitable candidate for the Research for Best Researcher Award. His demonstrated commitment to impactful, interdisciplinary environmental research, combined with academic excellence and technical strength, make him a compelling nominee. With continued progression toward independent project leadership and broader global collaborations, his trajectory aligns well with the expectations of this prestigious award.

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.