Jianling Xu | Soil | Excellence in Soil Research

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Prof. Jianling Xu | Soil | Excellence in Soil Research

Prof. Jianling Xu, Northeast Normal University, China

Prof. Jianling Xu is a distinguished environmental scientist and Professor at Northeast Normal University, China. With deep expertise in soil environmental health, pollution remediation, and sustainable resource utilization, she has led numerous national research initiatives and contributed over 30 SCI-indexed publications and 40 patents. Her work focuses on land-sea pollution control and ecological risk assessment. A recipient of prestigious awards such as the MOE Second Prize for Technological Invention and Hainan’s “Sifang Talent,” Prof. Xu also serves as Vice Chair of the Wetland Committee of CSES and an expert for the Basel Convention Asia-Pacific Think Tank.

Profile

Scopus

Orcid

Summary:

Prof. Jianling Xu exemplifies the ideal profile for the Research for Excellence in Soil Research Award. Her multifaceted work in soil health, pollution remediation, and ecological risk management is backed by strong publications, innovative solutions, and meaningful impact on both science and society. She bridges the gap between academic rigor and practical application, influencing policy, education, and environmental practices.

🎓 Education

Prof. Jianling Xu serves as a Professor and Ph.D. Supervisor in Environmental Science and Engineering. She is affiliated with Yazhou Bay Innovation Institute, the College of Ecology and Environment at Hainan Tropical Ocean University, and the Northeast Institute of Geography and Agroecology under the Chinese Academy of Sciences. Her academic background supports her specialization in soil and environmental systems, emphasizing an interdisciplinary approach to ecological challenges.

💼Experience

Prof. Xu has led and contributed to numerous national and institutional research initiatives. She is actively involved in high-impact projects funded by the National Natural Science Foundation of China (NSFC) and the Chinese Academy of Sciences (CAS). Her leadership extends to consultancy work, editorial responsibilities as a reviewer for SCI-indexed journals, and international environmental governance through the Basel Convention Asia-Pacific Think Tank. Additionally, she holds the role of Vice Chair of the Wetland Committee of the Chinese Society for Environmental Sciences (CSES).

🔬Research Focus

Her primary research areas lie in environmental science and engineering with a focus on soil environmental health, pollution remediation, and sustainable resource management. She has conducted in-depth studies on heavy metal contamination in agricultural black soils, quantified pollutant sources such as coal combustion and mining, and developed mitigation strategies for mercury and cadmium risks. Her work significantly contributes to sustainable soil conservation and public health policy development.

🛠️Skills

Prof. Xu brings expertise in land-sea pollution control, ecological remediation, environmental risk assessment, pollution source tracing using PMF modeling, and waste resource utilization. She is also proficient in environmental planning and management and demonstrates exceptional skills in coordinating complex research programs, innovating soil remediation strategies, and applying risk management in heavy metal pollution.

🏆Awards

She has received multiple prestigious recognitions, including the Second Prize for Technological Invention from the Ministry of Education (MOE) and the “Sifang Talent” award from Hainan Province. Prof. Xu has been honored as a “Provincial Top Innovative Talent” and is a distinguished contributor to national education through her development of two National First-Class Courses.

📚 Publications

  • Title: Quantification of an integrated approach to heavy metal source apportionment and probabilistic health risk assessment in the black soil region of central Jilin Province, China
    Year: 2025
    Journal: Ecotoxicology and Environmental Safety

  • Title: Study of the Relationship Between Nitrogen, Phosphorus Content, and Microbial Community Changes in Deer Manure Compost with Different Conditioners
    Year: 2025
    Journal: Fermentation

  • Title: Study on the Effect of Conditioners on the Degradation of Tetracycline Antibiotics in Deer Manure Composting
    Year: 2024
    Journal: Fermentation

  • Title: Removal of sulfonamide antibiotics by constructed wetland substrate with NaOH-modified corn straw biochar under different operating conditions
    Year: 2024
    Journal: Bioresource Technology

  • Title: The efficiency of enhanced nitrogen and phosphorus removal in a vertical flow constructed wetland using alkaline modified corn cobs as a carbon source
    Year: 2024
    Journal: Environmental Technology and Innovation

Conclusion:

Prof. Jianling Xu is an excellent candidate for this award. Her work not only advances scientific understanding but also contributes to sustainable soil management practices essential for agriculture, ecosystem services, and human health. With a few enhancements in global collaboration and outreach, she stands out as a thought leader with lasting impact in the field of soil science.

Houda Oueriemmi | Soil Scientist | Best Researcher Award

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 Dr. Houda Oueriemmi | Soil Scientist | Best Researcher Award

Dr. Houda Oueriemmi, Arid Region Institute, Tunisia

Dr. Houda Oueriemmi is a Postdoctoral Researcher at the Arid Region Institute of Medenine, Tunisia. Her research focuses on soil fertility, desertification control, and sustainable land management in arid and semi-arid regions. She holds a Ph.D. in Water and Earth Sciences from the Higher Institute of Water Sciences and Techniques of Gabès, specializing in organic soil amendments and their role in improving degraded soils. Dr. Oueriemmi has collaborated on international projects, including the European ISFERALDA initiative, and has published extensively on composted organic waste, biochar applications, and soil health.

Profile

Scopus

Summary:

Dr. Houda Oueriemmi has demonstrated remarkable expertise in soil fertility enhancement and sustainable land management, particularly in arid regions. Her work is internationally recognized, and she actively contributes to high-impact research projects. Her publications and collaborations underscore her scientific excellence. Strengthening her research impact through increased citations, mentorship, and funding acquisition could further elevate her standing in the global scientific community.

 

🎓 Education

Houda Oueriemmi holds a Ph.D. in Water and Earth Sciences from the Higher Institute of Water Sciences and Techniques of Gabès, completed in 2021 at the Laboratory of Eremology and Combating Desertification, Arid Regions Institute (IRA) of Médenine. She earned a Master’s degree in Geology of Sedimentary Basins in 2015 and another Master’s in Valorization of Geomaterials in 2012, both from the Faculty of Sciences of Gabès. She also obtained a Licence degree in Natural Sciences and Applications in 2010 from the same institution and completed her Scientific Baccalaureate at Ibn Roched High School, Zarzis, in 2007.

💼Experience

Currently, she is a Postdoctoral Researcher at the Arid Region Institute of Medenine, contributing to the European project ISFERALDA, which focuses on improving soil fertility in arid and semi-arid regions using local organic date palm residues. Her research experience includes multiple internships, notably at the Institute of Agrobiological Research of Galicia (IIAG-CSIC) in Spain in 2018 and 2019, under the supervision of Dr. Petra Susan Kidd, Dr. Ángeles Prieto-Fernández, and Dr. Carmen Trasar-Cepeda. She has also conducted extensive Ph.D. research at the Laboratory of Eremology and Combating Desertification at IRA Médenine and completed Master’s and technician internships at institutions such as ECUMED Petroleum, the Cement Company of Gabès, and COTUSAL of Zarzis.

🔬Research Focus

Her research primarily revolves around soil fertility, desertification control, organic soil amendments, and sustainable land management in arid and semi-arid regions. She has worked extensively on evaluating composted organic wastes, biochar applications, and farmyard manure to improve soil fertility in sandy and degraded lands.

Awards

Houda Oueriemmi has been actively involved in international collaborations and research projects, receiving recognition for her contributions to soil fertility improvement and sustainable agricultural practices in arid environments.

Skills

Her technical skills include proficiency in office software such as Microsoft Office (Word, Excel, PowerPoint) and remote sensing tools like ArcGIS and ArcView. She also has experience with CorelDRAW. She is multilingual, with fluency in Arabic and French, strong proficiency in English, and basic knowledge of German.

Publications

 

  • Publication: Assessment of Earthworm Viability and Soil Health after Two Years of Raw and Composted De-Inking Paper Sludge Amendment
    Journal: Agriculture (Switzerland)
    Authors: Rahma Inès Zoghlami, Wael Toukabri, Khaoula Boudabbous, Mohamed Moussa, Haithem Bahri, et al.
    Year: 2023

 

Conclusion:

Dr. Oueriemmi is a deserving candidate for a Best Researcher Award due to her valuable contributions to soil science and environmental sustainability. With continued efforts in research expansion, funding acquisition, and mentorship, she has the potential to become a leading figure in her field.

Md. Ashikur Rahman Khan | Soil Morphology | Best Researcher Award

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Prof. Md. Ashikur Rahman Khan | Soil Morphology | Best Researcher Award

Prof. Md. Ashikur Rahman Khan, Noakhali Science and Technology University, Bangladesh

Prof. Md. Ashikur Rahman Khan is a Professor and Chairman of the Department of Information and Communication Engineering at Noakhali Science and Technology University, Bangladesh. He holds a Ph.D. in Mechanical Engineering from Universiti Malaysia Pahang and has over 23 years of experience in academia and research. His expertise includes Artificial Neural Networks, Artificial Intelligence Techniques, Machine Learning, Advanced Machining, Renewable Energy, and Refrigeration and Air-Conditioning. He has received multiple awards, including a Bronze Medal at the Creation, Innovation, Technology & Research Exposition 2012 and a Best Poster Presentation Award at NCMER 2010. Prof. Khan continues to contribute to cutting-edge research and innovation in engineering and technology.

Profile

Scopus

Summary:

Prof. Md. Ashikur Rahman Khan has made significant contributions to machine learning applications in diverse fields, including education, agriculture, cybersecurity, health, and sports analytics. His research is well-documented in SCOPUS and Q1/Q2 journals, demonstrating a commitment to high-quality academic output. While his work is impactful, areas such as citations, grant funding, mentorship, and industry collaborations could be strengthened to further solidify his standing.

 

🎓 Education

Dr. Mohammad Ashikur Rahman Khan holds a Ph.D. in Mechanical Engineering from Universiti Malaysia Pahang, Malaysia, where he completed his research from 2009 to 2012. He earned his M.Sc. in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) between 2000 and 2004. His academic journey began with a B.Sc. in Mechanical Engineering from Rajshahi University of Engineering and Technology (RUET), Bangladesh, where he studied from 1993 to 1998.

 

💼Experience

With over 23 years of experience in academia and engineering, Dr. Khan has contributed significantly to research and education. He is currently serving as a Professor (Grade 2) and Chairman of the Department of Information and Communication Engineering at Noakhali Science and Technology University (NSTU), Bangladesh, a position he has held since October 2021. Before this, he was a Professor at NSTU from 2017 to 2021 and previously worked as an Associate Professor from 2013 to 2017. His journey at NSTU began as an Assistant Professor in 2008, following his tenure as a Lecturer from 2006 to 2008. Earlier in his career, he worked as an Assistant Engineer at the Inspection and Testing Directorate of the Rural Electrification Board (REB) in Dhaka from 2001 to 2006. During his Ph.D. studies, he also served as a Teaching Assistant and Research Assistant at Universiti Malaysia Pahang from 2009 to 2012.

 

🔬Research Focus

Dr. Khan specializes in Artificial Neural Networks, Artificial Intelligence Techniques, Machine Learning, Advanced Machining, Renewable Energy, and Refrigeration and Air-Conditioning. His research contributions have advanced the fields of optimization modeling, pattern recognition, and intelligent modeling for engineering applications. His work has practical implications in enhancing machining processes, improving energy efficiency, and developing innovative techniques in mechanical engineering.

 

Awards

Dr. Khan has received several prestigious awards and honors throughout his academic and professional career. He was awarded a Bronze Medal at the Creation, Innovation, Technology & Research Exposition 2012 at Universiti Malaysia Pahang for his work on hybrid intelligent modeling in pattern recognition. He also received the Best Poster Presentation Award at the National Conference in Mechanical Engineering for Research & Postgraduate Studies (NCMER 2010) for his optimization modeling of copper electrodes in electrical discharge machining (EDM). He was a recipient of the Doctoral Fellowship at Universiti Malaysia Pahang from 2009 to 2011. His academic excellence was recognized with multiple Merit Awards and Technical Scholarships during his B.Sc. studies at RUET for three consecutive years. Additionally, he was honored with the Brilliance Award by the Welfare Association of Tahsilder, Bangladesh, in 1998.

 

Skills

Dr. Mohammad Ashikur Rahman Khan possesses extensive expertise in Artificial Neural Networks, Artificial Intelligence Techniques, and Machine Learning, applying these advanced computational methods to optimize engineering processes. His proficiency in Advanced Machining enables him to enhance material processing techniques, particularly in Electrical Discharge Machining (EDM) and other precision manufacturing technologies. His research also extends to Renewable Energy, where he focuses on sustainable energy solutions and their integration into industrial applications. With in-depth knowledge of Refrigeration and Air-Conditioning systems, he explores innovative ways to improve energy efficiency and system performance. His multidisciplinary skill set allows him to contribute significantly to engineering research, technology development, and academic leadership.

Publications

  • Title: Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
    Authors: S.H. Hemal, M.A. Khan, I. Ahammad, M.A.S. Khan, S. Ejaz
    Year: 2024
    Citations: 0

 

  • Title: Soil classification and crop cultivation prediction: a comparative study of machine learning models
    Authors: F. Rahman, M.A. Khan, Z. Tasneem
    Year: 2024
    Citations: 0

 

  • Title: A Hybrid PSO-GA Technique for Optimized Decision Tree to Enhanced Soil Classification and Predicting Crop Cultivation based on Soil Class to Ascertain Precise Agriculture
    Authors: F. Rahman, M.A. Khan, M. Alam
    Year: 2025

 

  • Title: Comparative analysis of potato blight diseases BARI-72 and BARI-73 using a simplified convolutional neural network method
    Authors: M.A. Khan, J. Akther, F. Rahman
    Year: 2024

 

  • Title: Perceived Factors Analysis for Depression and Suicidal Ideation among Bangladeshi University Students Using Association Algorithm
    Authors: M.M. Alam, M.S. Ejaz, M.K. Hasan, M.A. Khan
    Year: 2023

 

  • Title: Cricket Players Selection for National Team and Franchise League using Machine Learning Algorithms
    Authors: M. Robel, M.A. Khan, I. Ahammad, M.M. Alam, K. Hasan
    Year: 2024

 

  • Title: Prediction of Impacts and Outbreak of Covid-19 on the Society Using Distinct Machine Learning Algorithms
    Authors: T.T. Chaity, M.A. Khan, F. Rahman
    Year: 2024

 

  • Title: RSA and AES Based Hybrid Encryption Technique for Enhancing Data Security in Cloud Computing
    Authors: R. Akter, M.A. Khan, F. Rahman, S.J. Soheli, N.J. Suha
    Year: 2023

Conclusion:

Prof. Md. Ashikur Rahman Khan is a strong contender for the Best Researcher Award due to his wide-ranging research, publication record, and innovative use of machine learning. However, improving research visibility, securing research funding, and mentoring graduate students could elevate his academic profile further. If he addresses these areas, his potential for recognition in the research community will increase significantly.