Mei Huang | Engineering | Best Researcher Award

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Dr. Mei Huang | Engineering | Best Researcher Award

Huang Mei is a Lecturer at the Department of Urban and Rural Planning, School of Architecture, Xi’an University of Architecture and Technology. She is currently pursuing her Doctorate in Urban and Rural Planning at the same institution. Her research focuses on green water infrastructure planning and rural planning, particularly in the context of traditional villages and sustainable development in Northwest China. Huang has led and participated in numerous national and provincial research projects and has contributed significantly to the development of low-carbon and livable rural environments. She has also worked as a project coordinator for rural development initiatives, demonstrating a strong integration of academic and practical expertise in planning and environmental design.

Dr. Mei Huang | Xi’an University of Architecture and Technology | China

Profile

🎓Education

  • Huang Mei holds a Bachelor’s degree in Urban Planning from Yunnan University, completed in 2011. She pursued her Master’s degree in Urban Planning and Design at Xi’an University of Architecture and Technology from 2011 to 2014, where she was recommended for exemption from the entrance examination. She is currently a Doctoral Candidate in Urban and Rural Planning at the same university, a program she began in 2018 and is expected to complete in 2025.

👨‍🏫 Experience

  • Since July 2014, Huang Mei has served as a Lecturer in the Department of Urban and Rural Planning, School of Architecture at Xi’an University of Architecture and Technology. Concurrently, from 2014 to 2017, she worked as a Project Coordinator for the Traditional Villages Program in Qiandongnan, managed by the Research Center for Rural Development and Construction under the Zhichunzhi Bridge Charity Foundation in Hong Kong. Her professional journey highlights a commitment to teaching, research, and hands-on project coordination in rural and traditional village planning.

🏆Awards and Recognitions

  • Huang Mei’s primary research interests lie in green water infrastructure planning and rural planning. Her work emphasizes sustainable and low-carbon development approaches, particularly in the context of traditional villages and small towns in Northwest China. She has a strong focus on practical applications of planning methods that integrate engineering, space, and environmental considerations to improve rural domestic sewage treatment, living environments, and cultural heritage protection.

💡Skills and Certifications

  • Huang Mei has been recognized for her expertise and leadership in several youth and general fund projects supported by the National Natural Science Foundation of China, the Ministry of Education, and various provincial housing and urban-rural development departments. Her inclusion in the Youth Talent Support Project of the Science and Technology Association of Shaanxi Universities further attests to her contributions to rural and green planning research.

🔬 Research Focus

  • Her skills encompass project coordination, rural planning and design, green infrastructure development, and interdisciplinary research methodology. Huang Mei is experienced in planning models suitable for traditional village environments and has expertise in developing technical standards and evaluation frameworks for livable and sustainable rural development.

🌎Conclusion

  • Dr. Huang Mei stands out as a visionary researcher in sustainable rural infrastructure and planning. Her body of work contributes not only to academic discourse but also to real-world problem-solving, particularly in historically underserved areas. She exemplifies the core spirit of the Best Researcher Award—intellectual excellence, applied innovation, and community impact. Her nomination would elevate the profile of both the award and the field of rural environmental planning.

📖Publications

  •  Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province

    Authors: Mei Huang, Degang Duan, Sicheng Tan, Ling Huang
    Journal: Buildings

  • Rural Resilience Evaluation and Risk Governance in the Middle Reaches of the Heihe River, Northwest China: An Empirical Analysis from Ganzhou District, a Typical Irrigated Agricultural Area

    Authors: Jing Huang, Dongqian Xue, Mei Huang
    Journal: Land

Nan Nan | Engineering | Best Researcher Award

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Dr. Nan Nan | Engineering | Best Researcher Award

Nan Nan is a lecturer at the University of Science and Technology Liaoning, specializing in Mineral Processing Engineering. With a PhD from Northeastern University, China, their research focuses on flotation reagents, process mineralogy, and the comprehensive utilization of mineral resources. Nan Nan has published several SCI papers and received funding from the Liaoning Higher Education Research Fund. They have also led industry projects, including process optimization for various mineral processing plants, and won the 2nd Prize of the Science and Technology Progress Award from the China Gold Association.

Dr. Nan Nan | University of Science and Technology Liaoning | China

Profile

SCOPUS  ID

ORCID ID

🎓 Education

  • Nan Nan earned a PhD in Mineral Processing Engineering from Northeastern University, China, where they gained in-depth knowledge and expertise in mineral processing technologies.

💼 Experience

  • Currently serving as a lecturer at the University of Science and Technology Liaoning, Nan Nan has gained substantial industry experience by leading and participating in multiple enterprise-commissioned projects. Notably, these include energy efficiency evaluations and process examination projects for several mineral processing plants and mines across China.

 🏆 Honors and Awards

  • Nan Nan has been recognized with the 2nd Prize of the Science and Technology Progress Award from the China Gold Association. Additionally, Nan Nan has received funding support from the Liaoning Higher Education Research Fund.

🛠️ Skills and Certifications

  • Nan Nan possesses strong expertise in mineral processing engineering, flotation performance, process mineralogy, and the development of flotation reagents. With experience in optimizing grinding processes and flotation collectors, Nan Nan has contributed to enhancing the efficiency and cost-effectiveness of mineral processing operations.

🔬 Research Focus

  • Nan Nan’s research primarily focuses on mineral processing engineering, flotation reagent research and development, process mineralogy, and the comprehensive utilization of mineral resources. The work aims to advance flotation technology, process optimization, and to reduce operational costs, particularly in harsh mining conditions such as those in Northeast China.

Conclusion

  • Nan Nan is an ideal candidate for the Research for Best Researcher Award due to their exceptional academic background, groundbreaking contributions to industry practices, and continuous pursuit of research innovation. Their combination of industry collaborations, academic publications, and awarded research makes them a deserving nominee for this prestigious recognition.

📄Publications

  • Molecular modeling of interactions between N-(Carboxymethyl)-N-tetradecylglycine and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y., Liu, J.
    Journal: Minerals, 2019, 9(5), 278
  • Flotation performance and mechanism of α-Bromolauric acid on separation of hematite and fluorapatite
    Authors: Nan, N., Zhu, Y., Han, Y.
    Journal: Minerals Engineering, 2019, 132, pp. 162–168
  • Froth flotation giant surfactants
    Authors: Li, Z., Fu, Y., Li, Z., Zhu, Y., Li, Y.
    Journal: Polymer, 2019, 162, pp. 58–62

Dr. shuwei shen | Biomedical engineering | Best Researcher Award | 1176

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Dr. shuwei shen | Biomedical engineering | Best Researcher Award

Dr. shuwei shen , University of Science and Technology of China, China

Extensive Research Experience

His focus on the standardization of medical devices and intelligent diagnosis using deep learning demonstrates a significant impact in the medical and technological fields.

Innovative Contributions

With over 30 papers in prestigious journals and more than 20 patents, his work reflects high-level innovation and contributions to the field.

 Profile

Scopus

Google Scholar

📚 Early Academic Pursuits

Dr. Shuwei Shen earned his Ph.D. from the University of Science and Technology of China in 2019. During his doctoral studies, he developed a strong foundation in medical device standardization and intelligent diagnosis and treatment methods, focusing on the application of deep learning techniques.

💼 Professional Endeavors

From 2019 to 2021, Dr. Shen conducted postdoctoral research at the First Affiliated Hospital of the University of Science and Technology of China. This postdoctoral tenure allowed him to delve deeper into the practical applications of his research, bridging the gap between theoretical studies and real-world medical challenges. Since 2021, he has been serving as an Associate Researcher at the Suzhou Institute for Advanced Research, University of Science and Technology of China.

🔬CONTRIBUTIONS AND RESEARCH FOCUS

  • Dr. Shen’s research primarily focuses on the standardization of medical devices using tissue phantoms and the development of intelligent diagnosis and treatment systems through deep learning. His completed and ongoing research projects include the development of intelligent diagnostic systems for skin diseases and the creation of a research and preparation system for tissue oxygenation biomimetic models.

🌟Impact and Influence

  • Dr. Shen has made significant contributions to the field of medical devices and intelligent diagnosis. He has published over 30 papers in prestigious journals, such as IEEE Transactions on Medical Imaging, Biomedical Optics Express, Chemical Engineering Journal, and IEEE Journal of Biomedical and Health Informatics. His work has been widely recognized and cited, contributing to his citation index of 10 (h-index). Additionally, he has applied for more than 20 patents, reflecting the innovative nature of his research.

📖 ACADEMIC CITES

Dr. Shen’s extensive publication record includes 278 articles indexed in Scopus, showcasing the breadth and depth of his research. His prolific output highlights his dedication to advancing the fields of tissue phantoms, 3D printing, intelligent diagnosis and treatment, and advanced drug delivery systems.

🌍 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shen aims to continue pushing the boundaries of medical device innovation and intelligent diagnostic systems. His ongoing research and future projects are expected to further enhance the standardization and effectiveness of medical treatments, improving patient outcomes and advancing the field of medical technology.

📰PUBLICATIONS

  • Single model deep learning on imbalanced small datasets for skin lesion classification
    • Authors: P. Yao, S. Shen, M. Xu, P. Liu, F. Zhang, J. Xing, P. Shao, B. Kaffenberger, …
    • Journal: IEEE Transactions on Medical Imaging
  • A low-cost high-performance data augmentation for deep learning-based skin lesion classification
    • Authors: S. Shen, M. Xu, F. Zhang, P. Shao, H. Liu, L. Xu, C. Zhang, P. Liu, P. Yao, …
    • Journal: BME Frontiers
  • A single model deep learning approach for Alzheimer’s disease diagnosis
    • Authors: F. Zhang, B. Pan, P. Shao, P. Liu, S. Shen, P. Yao, RX Xu, …
    • Journal: Neuroscience
  • Freeform fabrication of tissue-simulating phantom for potential use of surgical planning in conjoined twins separation surgery
    • Authors: S. Shen, H. Wang, Y. Xue, L. Yuan, X. Zhou, Z. Zhao, E. Dong, B. Liu, W. Liu, …
    • Journal: Scientific Reports
  • Fabrication of a multilayer tissue-mimicking phantom with tunable optical properties to simulate vascular oxygenation and perfusion for optical imaging technology
    • Authors: G. Liu, K. Huang, Q. Jia, S. Liu, S. Shen, J. Li, E. Dong, P. Lemaillet, DW Allen, …
    • Journal: Applied Optics