Jing Pan | Environmental Science | Best Academic Researcher Award

Published on by China Scientist

Prof. Jing Pan | Environmental Science | Best Academic Researcher Award 

Dr. Jing Pan is an environmental scientist specializing in environmental microbiology, water treatment, and polluted ecology. She holds a Ph.D. from Northeastern University, a Master’s from Harbin Institute of Technology, and a Bachelor’s from Liaoning University. Dr. Pan has led multiple national and provincial research projects and published over 70 academic papers. Her work focuses on ecological restoration and the resource utilization of agricultural waste, contributing significantly to sustainable environmental management.

Prof. Jing Pan | Shenyang Normal University | China

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🎓Education

  • Dr. Jing Pan received her Ph.D. in 2009 from Northeastern University, China, with a strong foundation in environmental sciences. She earned her Master’s degree in 2004 from Harbin Institute of Technology, China, and completed her undergraduate studies in 2001 at Liaoning University. Her academic journey has laid a solid groundwork for her interdisciplinary research in microbiology, ecology, and environmental engineering.

👨‍🏫 Experience

  • Dr. Pan has extensive research experience in environmental microbiology, water treatment, polluted ecology, and the resource utilization of agricultural waste. She has presided over two National Natural Science Foundation projects, demonstrating her capability in securing national-level funding and leading innovative environmental research. Additionally, she has led a key basic research project under the Liaoning Province Research and Application program. Her professional engagements further include leading roles in the Innovative Talents Project and the Outstanding Talents Support Plan under the Liaoning Province Education Department, as well as participation in multiple provincial and municipal research initiatives, such as the Natural Science Fund of Liaoning Province, scientific research projects of the Liaoning Province Education Department, the Shenyang Young and Middle-aged Innovation Plan, and the Shenyang Science and Technology Special Plan.

🤝 Awards and Recognition

  • Dr. Pan has been recognized for her research excellence and leadership with multiple talent development programs at the provincial level. These include the Innovative Talents Project, the Outstanding Talents Support Plan, and two Talent Support Projects supported by Liaoning Province. Her selection for these competitive programs highlights her status as a key contributor to environmental science research and innovation in the region.

💡Skills and Certifications

  • With a strong interdisciplinary background, Dr. Pan’s core skills lie in environmental microbiology techniques, ecological risk assessment, and the development of efficient water purification technologies. She is proficient in experimental design and the implementation of large-scale environmental monitoring and remediation projects. Her expertise also extends to the sustainable management of agricultural waste through microbial and ecological methods.

🔬 Research Focus

  • Dr. Jing Pan focuses on solving environmental problems through microbiological and ecological approaches. Her research covers a broad range of topics, including microbial treatment of contaminated water, restoration of polluted ecosystems, and the resource recycling of agricultural waste. Through her academic endeavors, she aims to advance sustainable environmental management and support ecological resilience in agricultural and urban systems.

🌎Conclusion

  • Dr. Jing Pan stands out as a highly qualified and deserving candidate for the Best Academic Researcher Award. Her extensive academic background, coupled with a strong record of leading nationally and provincially funded research projects, reflects her dedication to advancing environmental science. With over 70 academic publications and a monograph to her name, she has significantly contributed to the fields of environmental microbiology, water treatment, and ecological sustainability. Her research not only addresses critical scientific challenges but also offers practical solutions for environmental protection and resource utilization. Dr. Pan’s leadership, innovation, and impact make her an exemplary figure in academia, fully meeting the criteria for this prestigious award.

📖Publications

  • Title: Effects of composite microplastics on soil properties and the physiological and biochemical characteristics of Chinese cabbage
    Journal: Ecotoxicology, 2025

  • Title: Removal of bisphenol A (BPA) from aqueous solution by potassium carbonate modified wetland plant biochars
    Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024

  • Title: Hydrogen Peroxide-Modified Biochars from Wetland Plants for Bisphenol A Removal in Water
    Journal: Industrial and Engineering Chemistry Research, 2024

  • Title: The adsorption of bisphenol A by biochars modified with potassium phosphate
    Journal: Desalination and Water Treatment, 2024

  • Title: How do aeration mode and influent carbon/nitrogen ratio affect pollutant removal, gas emission, functional genes and bacterial community in subsurface wastewater infiltration systems?
    Journal: Water Science and Technology, 2023

Wentao Li | Engineering Technology | Best Researcher Award

Published on by China Scientist

Dr. Wentao Li | Engineering Technology| Best Researcher Award

Innovative Contributions:

  • Wentao’s work has led to substantial innovations in railway safety, such as developing meteorological disaster monitoring and intelligent perimeter intrusion detection systems. His efforts have enhanced the accuracy and resilience of high-speed railway monitoring systems.
Dr. Wentao Li, China academy of railway sciences, China

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🌱EARLY ACADEMIC PURSUITS

  • Wentao Li began his academic journey with a Bachelor’s degree in Automation, followed by a Master’s degree in Control Engineering. Building on this solid foundation, he has embarked on a Ph.D. in Traffic Engineering and Control, where he is focusing on innovations that drive the future of railway safety and operational efficiency. His early academic work provided him with a comprehensive understanding of automation and control systems, equipping him with the skills necessary to contribute significantly to railway research and innovation.

💼PROFESSIONAL ENDEAVORS

  • As an Assistant Researcher in the Postgraduate Department of the China Academy of Railway Sciences, Wentao has played a key role in advancing railway informatization. His research is primarily focused on three main areas: high-speed railway meteorological disaster monitoring, intelligent perimeter intrusion detection, and LiDAR sensing technology. His professional work has included participation in numerous projects—20 in total—aimed at boosting safety standards in high-speed rail systems. Additionally, his industry-focused research has led to 17 patents, demonstrating his commitment to applied solutions that address real-world challenges in rail transportation.

🔬CONTRIBUTIONS AND RESEARCH FOCUS 

  • Wentao’s research contributions focus on enhancing railway security and resilience. His work with meteorological disaster monitoring allows for better real-time tracking of extreme weather events, safeguarding railway operations. Through intelligent intrusion detection, he has contributed to the development of advanced image recognition algorithms that improve perimeter security, while his advancements in LiDAR sensing provide high-accuracy environmental awareness. His projects have brought novel solutions to the railway sector, directly impacting safety and operational continuity.

📚ACADEMIC CITES 

  • Wentao’s published work includes a notable contribution to IEEE Access, detailing a novel path-planning algorithm for warehouse robots based on a two-dimensional grid model. This publication has been cited 27 times, reflecting the academic community’s recognition of his work. He has also published articles in leading journals that highlight his expertise in image recognition and 3D object detection, especially as it applies to railway informatization and automation.

🌍IMPACT AND INFLUENCE

  • With a career marked by impactful research and innovations, Wentao’s work has significantly improved the accuracy and reliability of railway monitoring systems. His research on high-speed railway safety has provided robust frameworks for weather-related disaster management, as well as precise, automated security systems that enhance perimeter protection. These efforts have strengthened the resilience of railway infrastructure, making it more adaptable to adverse conditions and potential security threats.

🌟LEGACY AND FUTURE AND CONTRIBUTIONS

  • With his expertise and dedication to railway research, Wentao Li continues to push the boundaries of high-speed railway safety and intelligence. His innovative work in disaster monitoring, security detection, and environmental sensing will likely shape the future of railway safety standards and inspire ongoing advancements in railway technology.

📄Publications

  • “A Survey on Multi-Sensor Fusion Perimeter Intrusion Detection in High-Speed Railways”
    • Authors: Shi, T.; Guo, P.; Wang, R.; Fu, H.; Hu, H.
    • Journal: Sensors, 2024, 24(17), 5463
  • “Structure, Mechanical Properties and Water Vapor Corrosion Resistance of AlCrNbSiTiN High-Entropy Nitride Coatings Deposited by RF Magnetron Sputtering”
    • Authors: Wang, X.; Liu, J.; Liu, Y.; Chen, Y.; Yang, B.
    • Journal: Coatings, 2024, 14(8), 1006
  • “Improved Multi-Search Strategy A Algorithm to Solve Three-Dimensional Pipe Routing Design”*
    • Authors: Liu, C.; Wu, L.; Li, G.; Guo, J.; Li, W.
    • Journal: Expert Systems with Applications, 2024, 240, 122313
  • “Effect of Bias Voltage on Structure, Mechanical Properties, and High-Temperature Water Vapor Corrosion of AlCrNbSiTi High Entropy Alloy Coatings”
    • Authors: Wang, X.; Zeng, Z.; Wang, H.; Chen, Y.; Yang, B.
    • Journal: Coatings, 2023, 13(11), 1948
  • “A Novel Structural Damage Detection Method Using a Hybrid IDE–BP Model”
    • Authors: Mei, J.; Wu, L.; Chen, E.; Guo, J.; Li, W.
    • Journal: Knowledge-Based Systems, 2023, 273, 110606