Sheng-Jiang Yang | Plant Protection | Best Researcher Award

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Assoc. Prof. Dr. Sheng-Jiang Yang | Plant Protection | Best Researcher Award

Sheng-jiang Yang is an Associate Professor at the School of Chinese Ethnic Medicine, Guizhou Minzu University. He holds a Ph.D. in Chemical Engineering from South China University of Technology and a B.Sc. in Pharmaceutical Engineering from Kunming University of Science and Technology. His research focuses on integrating traditional Chinese ethnic medicine with modern pharmaceutical and chemical engineering techniques. He has postdoctoral experience and has published several representative works in the field.

Assoc. Prof. Dr. Sheng-Jiang Yang | Guizhou Minzu University | China

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🎓Education

  • Sheng-jiang Yang holds a Ph.D. in Chemical Engineering from South China University of Technology, earned between September 2014 and July 2020. Prior to that, he completed his Bachelor of Science in Pharmaceutical Engineering at Kunming University of Science and Technology from September 2010 to June 2014.

👨‍🏫 Experience

  • He conducted postdoctoral research at South China University of Technology from October 2020 to February 2022, focusing on advanced topics related to his expertise in chemical and pharmaceutical engineering. Since March 2022, Sheng-jiang Yang has been serving as an Associate Professor at the School of Chinese Ethnic Medicine, Guizhou Minzu University. His role involves both teaching and conducting research in areas integrating traditional medicine with modern scientific approaches.

🏆Awards and Recognitions

  • Sheng-jiang Yang has received several recognitions for his academic excellence and research contributions. These include commendations during his postgraduate studies and support for high-level talent development at Guizhou Minzu University. His achievements in integrating traditional Chinese ethnic medicine with chemical engineering have earned him a growing reputation in the field.

💡Skills and Certifications

  • Yang is skilled in chemical engineering, pharmaceutical formulation, and interdisciplinary research combining traditional Chinese medicine with modern engineering techniques. His background also includes hands-on experience in laboratory research, academic publishing, and higher education instruction.

🔬 Research Focus

  • His primary research focus lies in the development and modernization of traditional Chinese ethnic medicine, pharmaceutical process engineering, and the chemical analysis of medicinal compounds. His work aims to bridge the gap between ethnic medicine practices and scientific innovation.

🌎Conclusion

  • Given his research excellence, academic leadership, and forward-looking scientific contributions, Dr. Sheng-jiang Yang is highly suitable for the Research for Best Researcher Award. His multidisciplinary approach, impactful publications, and commitment to sustainable innovation strongly align with the award’s goal of recognizing transformative researchers advancing the frontiers of science and technology.

📖Publications

  •  Adsorption of cytochrome c on different self-assembled monolayers: The role of surface chemistry and charge density
    Authors: Shengjiang Yang, Chunwang Peng, Jie Liu, Hai Yu, Zhiyong Xu, Yun Xie, Jian Zhou
    Journal: Biointerphases 
  •  Molecular understanding of acetylcholinesterase adsorption on functionalized carbon nanotubes for enzymatic biosensors
    Authors: Shengjiang Yang, Daohui Zhao, Zhiyong Xu, Hai Yu, Jian Zhou
    Journal: Physical Chemistry Chemical Physics 
  • Orientation and Conformation of Hydrophobin at the Oil-Water Interface: Insights from Molecular Dynamics Simulations
    Authors: Hai Yu, Shengjiang Yang, Zheng Chen, Zhiyong Xu, Xuebo Quan, Jian Zhou
    Journal: Langmuir 
  • Modulating the adsorption orientation of methionine-rich laccase by tailoring the surface chemistry of single-walled carbon nanotubes
    Authors: Shengjiang Yang
    Journal: Colloids and Surfaces B: Biointerfaces 
  • Simulation Insight into the Synergic Role of Citrate and Polyaspartic Peptide in Biomineralization
    Authors: Jinxiang Zeng, Shengjiang Yang, Hai Yu, Zhiyong Xu, Xuebo Quan, Jian Zhou
    Journal: Langmuir

Zili Chen | Smart Agriculture | Best Researcher Award

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Mr. Zili Chen | Smart Agriculture | Best Researcher Award

Zili Chen is currently pursuing graduate studies at Henan Normal University, specializing in Agricultural Engineering and Information Technology. Before his master’s degree, he worked in software development at Zhejiang Jiuzhou Tuoxin Information Service Co., Ltd. His research focuses on applying computer vision and deep learning in agricultural remote sensing, particularly in disease monitoring. He has published academic papers in international journals and won the Best Graduate Oral Presentation Award at the 5th Remote Sensing Conference on Vegetation Diseases and Pests Graduate Forum. His ongoing projects include intelligent monitoring systems for tobacco production and digital twin systems for agricultural big data.

Mr. Zili Chen | Institute of Agricultural Information Technology, Henan Academy of Agricultural Sciences | China

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🎓 Education

  • Zili Chen is currently pursuing a graduate degree in Agricultural Engineering and Information Technology at Henan Normal University. His academic journey has equipped him with expertise in computer vision and deep learning applications in agricultural remote sensing.

💼 Experience

  • Before beginning his master’s studies, Zili Chen worked in software development at Zhejiang Jiuzhou Tuoxin Information Service Co., Ltd., where he gained practical experience in information technology and data processing. His industry background complements his research, allowing him to bridge the gap between theoretical advancements and real-world applications.

🔥 Awards and Achievements

  • Zili Chen has been recognized for his outstanding research contributions, winning the Best Graduate Oral Presentation Award at the 5th Remote Sensing Conference on Vegetation Diseases and Pests Graduate Forum. His work has also been published in reputable international journals, further demonstrating the impact of his research.

🛠️ Skills and Certifications

  • Zili Chen specializes in deep learning algorithms, computer vision, and agricultural remote sensing. His expertise extends to software development, data analysis, and artificial intelligence applications in agriculture. He is currently applying for a national invention patent for a Method and System for Tobacco Leaf Disease Spot Segmentation Based on Multi-Scale Residual Dilated Convolution, reflecting his commitment to technological innovation in smart agriculture.

🔬 Research Focus

  • His primary research interests lie in the application of computer vision and deep learning for agricultural disease monitoring. He has contributed to improving segmentation accuracy for tobacco leaf lesions through advanced deep learning models, significantly enhancing recognition efficiency. His research has been applied in intelligent monitoring systems for high-end agricultural products and has been integrated into national key research projects.

Conclusion

  • Based on his research impact, technological innovations, industry collaborations, and academic recognition, Zili Chen is a strong candidate for the Research for Best Researcher Award. His expertise in agricultural remote sensing and deep learning not only contributes to scientific knowledge but also drives practical advancements in precision farming and smart agriculture solutions. His award-winning presentation skills, peer-reviewed publications, and contributions to national research projects make him a deserving nominee for this prestigious recognition.

📄Publications

  • MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions
    Authors: Zili Chen, Yilong Peng, Jiadong Jiao, Wei Lin, Yan Guo
    Journal: Scientific Reports, 2025

Prof. Dong Chu | Agricultural | Best Researcher Award

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Prof. Dong Chu | Agricultural | Best Researcher Award

Dong Chu is a Professor at Qingdao Agricultural University, specializing in agricultural insect and pest management. He earned his Ph.D. from Shenyang Agricultural University in 2004 and has held key academic positions, including a tenure at the Shandong Academy of Agricultural Sciences and a visiting scholarship at The University of Arizona. His research focuses on biological invasions, horticultural pest control, and invasive insect species. He is an active member of several national plant protection committees and serves as an editor for multiple scientific journals.

Prof. Dong Chu | Qingdao Agricultural University | China

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🎓 Education

  • Dong Chu earned his Ph.D. in Agricultural Insect and Pest Management from Shenyang Agricultural University in 2004. Prior to that, he completed his Bachelor of Science degree in Plant Protection at Laiyang Agricultural Academy in 1999.

💼 Experience

  • With extensive experience in agricultural research and pest management, Dong Chu has been a Professor at Qingdao Agricultural University since 2012. Before this, he served as a Professor at the Shandong Academy of Agricultural Sciences from 2011 to 2012. His international exposure includes a tenure as a Visiting Scholar at The University of Arizona, USA, from 2010 to 2011. He also held the position of Associate Professor at the Shandong Academy of Agricultural Sciences from 2004 to 2011, where he contributed significantly to the field of entomology and pest control.

🔥 Awards and Achievements

  • Dong Chu has earned recognition for his contributions to agricultural sciences, particularly in the areas of pest management and biological invasion. His expertise has led to key positions in various committees and editorial boards, reflecting his influence in the scientific community.

🛠️ Skills and Certifications

  • He possesses specialized skills in agricultural insect and pest management, biological invasions, and horticultural pest control. His work focuses on the study of alien invasive insects and the development of effective pest control strategies. Additionally, his editorial experience in multiple scientific journals highlights his proficiency in research dissemination and academic writing.

🔬 Research Focus

  • Dong Chu’s research primarily revolves around agricultural pest management, biological invasions, and the control of invasive insect species. His contributions extend to the study of horticultural pests, where he plays an active role in advancing sustainable agricultural practices. His involvement in national scientific committees further emphasizes his commitment to improving plant protection strategies in China.

Conclusion

  • Dr. Dong Chu is a highly qualified and deserving candidate for the Best Researcher Award. His groundbreaking research in pest management, climate change adaptation in agriculture, and biological control of invasive species has significantly impacted global food security and agricultural sustainability. His leadership roles, international collaborations, and editorial contributions further strengthen his candidacy, making him a standout researcher in the field of agricultural science.

📄Publications

  • Effects of Marquandomyces marquandii SGSF043 on the Germination Activity of Chinese Cabbage Seeds: Evidence from Phenotypic Indicators, Stress Resistance Indicators, Hormones and Functional Genes
    Authors: X. Zheng, Y. Huang, X. Lin, D. Chu, F. Yang
    Journal: Plants, 2025

  • Machine learning ensemble model prediction of northward shift in potato cyst nematodes (Globodera rostochiensis and G. pallida) distribution under climate change conditions
    Authors: Y. He, G. Wang, Y. Ren, D. Chu, S.J. McKirdy
    Journal: Journal of Integrative Agriculture, 2024

  • Development of an on-site diagnostic LAMP assay for rapid differentiation of the invasive pest Phthorimaea absoluta (Meyrick) using insect tissues
    Authors: L.F. Yang, Y. Liu, Y. Tao, G. Zhang, D. Chu
    Journal: Pest Management Science, 2024

  • Maxent modelling combined with fuzzy logic provides new insights into predicting the distribution of potato cyst nematodes with limited data
    Authors: Y. He, G. Wang, Y. Ren, S.J. McKirdy, D. Chu
    Journal: Computers and Electronics in Agriculture, 2024

  • Dual mutations in the whitefly nicotinic Acetylcholine receptor β1 subunit confer target-site resistance to multiple neonicotinoid insecticides
    Authors: C. Yin, A.O. O’Reilly, S. Liu, X. Yang, Z. Zhang
    Journal: PLoS Genetics, 2024

Pingchuan Zhang | Intelligent Agriculture | Best Researcher Award

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Prof. Pingchuan Zhang | Intelligent Agriculture | Best Researcher Award

Pingchuan Zhang, born in Wuyang County, Henan Province, China, in 1968, is a distinguished professor and researcher specializing in IoT and intelligent agriculture systems. He earned his B.S. in Prospecting Engineering from Chengdu University of Technology, M.S. in Computer Software and Theory from the University of Zhengzhou, and Ph.D. in Microelectronics and Solid Physics from Huazhong University. With over two decades of academic experience, he serves as an Associate Professor at Luohe Vocational Technology College and a Master’s Supervisor in Agriculture Engineering and Information Technology. A senior member of the China Electronics Society, he has authored nine books, published over 40 articles, and holds more than 10 patents. His research focuses on IoT applications, intelligent systems, and sensing technologies.

Prof. Pingchuan Zhang | Henan Institute of Science and Technology | China

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🎓 Education

  • Pingchuan Zhang completed his Bachelor of Science degree in Prospecting Engineering at Chengdu University of Technology in 1991. He earned his Master’s degree in Computer Software and Theory from the University of Zhengzhou in 2005 and later achieved a Ph.D. in Microelectronics and Solid Physics from Huazhong University in 2012.

💼 Experience

  • From 2000 to 2008, he served as a Research Assistant Professor and Instructor. Since 2009, he has been an Associate Professor in the Department of Electronical Mechanical Engineering at Luohe Vocational Technology College. In the fall of 2019, he was appointed as a Distinguished Professor in the field of the Internet of Things (IoT) and became a Master’s Supervisor in Agriculture Engineering and Information Technology.

 🏆 Honors and Awards

  • Pingchuan Zhang is recognized as a senior member of the China Electronics Society and holds distinguished positions in academia. He has contributed extensively to the field through his authorship of nine books, over 40 academic articles, and more than 10 patented inventions.

🛠️ Skills and Certifications

  • He has expertise in IoT and Physical Agriculture, intelligent systems, and sensing technologies. His research and technical contributions focus on developing advanced systems for agricultural applications and improving IoT-based intelligent systems.

🔬 Research Focus

  • Pingchuan Zhang’s research focuses on integrating IoT technologies with physical agriculture, exploring intelligent systems, and advancing sensing technologies to drive innovation and sustainability in the agricultural and technological domains.

Conclusion

  • Pingchuan Zhang demonstrates exceptional qualifications and achievements that make him a strong candidate for the Best Researcher Award. His contributions to research, innovation, and education, coupled with his professional recognition, underscore his suitability for this prestigious accolade.

📄Publications

  • Design and Initial Tests of a Fast Neutron Radiography Detector Prototype with Silicon Photomultiplier Readouts
    Authors: Chen, X., Tang, B., Chen, R., Wang, Y., Liu, Y.
    Journal: Applied Sciences (Switzerland), 2024, 14(13), 5536
  • Research on Peach Phosphorus Deficiency Detection Based on Improved Faster R-CNN
    Authors: Hu, Y., Zhang, Y., Zhang, P., Chen, Z., Chen, X.
    Journal: Journal of Chinese Agricultural Mechanization, 2024, 45(4)
  • Recognition of Peach Tree Yellow Leaf Disease under Complex Background Based on Improved Faster-RCNN
    Authors: Zhang, P., Hu, Y., Zhang, Y., Chen, Z., Chen, X.
    Journal: Journal of Chinese Agricultural Mechanization, 2024, 45(3)
  • Investigation of DRA and Non-DRA in Locust Compound Eye on the Phototactic Response of Locust
    Authors: Liu, Q.H., Liu, M.H., Yang, B., Cui, J.X., Zhao, H.Y.
    Journal: International Journal of Agricultural and Biological Engineering, 2024, 17(5), pp. 81–87
  • Peculiar Influence of Linearly Polarized Spectrum Illumination Patterns on the Sensitivity Characteristics of Locust Response to Polarized Light
    Authors: Liu, Q., Zhao, H., Zhang, P., Cui, J., Gao, G.
    Journal: International Journal of Agricultural and Biological Engineering, 2024, 17(2), pp. 59–67