Jinjie Wang | Soil | Best Researcher Award

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Assoc. Prof. Dr. Jinjie Wang | Soil | Best Researcher Award

Assoc. Prof. Dr. Jinjie Wang, Xinjiang University, China

Assoc. Prof. Dr. Jinjie Wang is Vice President at the College of Geography and Remote Sensing Science, Xinjiang University, China. She specializes in hydrology, eco-hydrology, and remote sensing applications for environmental monitoring in arid regions. Dr. Wang has led over ten key national and regional research projects and has published more than 65 scientific papers. Her work focuses on water resource sustainability, soil salinization, and deep learning applications in geosciences. She was awarded the Second Prize for Scientific and Technological Progress of the Xinjiang Autonomous Region in 2021 for her innovative contributions to environmental research.

Profile

Scopus

Summary:

Assoc. Prof. Dr. Jinjie Wang stands out as a dynamic and impactful researcher with deep expertise in hydrology, remote sensing, and ecological modeling. Her work on environmental challenges in arid regions is timely, methodologically advanced, and socially relevant. She is a strong mentor, leader, and contributor to both national initiatives and scientific advancement in China.

🎓 Education

Dr. Jinjie Wang holds the position of Vice President at the College of Geography and Remote Sensing Science, Xinjiang University, indicating an advanced academic background in geography, hydrology, or environmental sciences.

💼Experience

Dr. Jinjie Wang has led over ten major national and regional projects, including the Third Scientific Expedition of Xinjiang initiated by the Ministry of Science and Technology and several National Natural Science Foundation of China sub-projects. Her work includes assessment of water resources and environmental monitoring in arid zones. She also holds editorial and leadership roles and has contributed significantly to scientific communities through consultancy and collaborative research.

🔬Research Focus

Her core research areas include hydrology and water resources, eco-hydrology, disaster geography, and the application of remote sensing and geographic information systems. She has made innovative contributions to soil moisture retrieval and salinization analysis using deep learning and spatial technologies in arid and semi-arid regions.

🛠️Skills

Dr. Wang is highly skilled in remote sensing hydrology, spatial data analysis, deep learning applications in environmental science, and project leadership. She brings strong expertise in ecological monitoring and water resource sustainability, combining technological innovation with field-based insights.

🏆Awards

In 2021, she received the Second Prize for Scientific and Technological Progress of the Xinjiang Autonomous Region in recognition of her scientific contributions and innovative research achievements.

📚 Publications

Title: Soil moisture retrieval and spatiotemporal variation analysis based on deep learning
Authors: Zhang Z., Wang J., Ding J., et al.
Year: 2025
Journal: Agricultural Water Management

Conclusion:

Assoc. Prof. Dr. Jinjie Wang is an excellent candidate for the Best Researcher Award. With targeted steps toward enhancing global collaboration and innovation translation, her already impressive profile could reach even greater heights in the international research arena.

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.

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.