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

Muhammad Fahad | Crop Sciences | Best Researcher Award

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Mr. Muhammad Fahad | Crop Sciences | Best Researcher Award

Muhammad Fahad is a PhD candidate in Crop Genetics and Breeding at Zhejiang University, China, focusing on abiotic stress tolerance, epigenetic regulation, and non-coding RNAs in crops. He holds an M.Sc. (Hons.) in Plant Breeding and Genetics from Bahauddin Zakariya University, Pakistan. His research involves molecular techniques such as gene cloning, CRISPR-Cas9, and transcriptomics, with ongoing projects in Brassica napus and rice. Fahad has published on plant stress responses, reviewed for leading journals, and received multiple academic awards, including a Best Poster Award as a CSC scholar.

Mr. Muhammad Fahad | Zhejiang University | China

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🎓Education

  • Muhammad Fahad is currently a PhD candidate in Crop Genetics and Breeding at the College of Agriculture & Biotechnology, Zhejiang University, China, under the supervision of Prof. Wu Liang. He began his doctoral studies in September 2021. Prior to this, he completed his M.Sc. (Hons.) in Agriculture with a specialization in Plant Breeding and Genetics from Bahauddin Zakariya University, Multan, Pakistan. His graduate studies spanned from August 2014 to February 2021.

👨‍🏫 Experience

  • Muhammad Fahad is currently a PhD candidate in Crop Genetics and Breeding at the College of Agriculture & Biotechnology, Zhejiang University, China, under the supervision of Prof. Wu Liang. He began his doctoral studies in September 2021. Prior to this, he completed his M.Sc. (Hons.) in Agriculture with a specialization in Plant Breeding and Genetics from Bahauddin Zakariya University, Multan, Pakistan. His graduate studies spanned from August 2014 to February 2021.

🏆Awards and Recognitions

  • In 2024, he received the Best Poster Award as a CSC scholar at Zhejiang University. His achievements also include an appreciation certificate and an exchange student fellowship from the Zhejiang Academy of Agricultural Sciences in 2020, and a Best Performance award from the Strengthening Participatory Organization in 2019.

💡Skills and Certifications

  • Muhammad Fahad possesses a diverse and advanced skill set in the fields of crop sciences, molecular biology, and agricultural biotechnology. He is highly proficient in gene cloning, CRISPR-Cas9 genome editing, protein-protein interaction studies, and tissue culture techniques. His expertise extends to cutting-edge areas such as DNA methylation, epigenetic regulation, and non-coding RNA analysis in plants. Fahad is also skilled in bioinformatics and statistical analysis, with hands-on experience using R, Python, SPSS, and Linux for transcriptomic and epigenomic data interpretation. In addition to his technical abilities, he is an accomplished scientific writer and peer reviewer, with a proven track record of publishing in high-impact journals. His collaborative nature, cross-cultural research experience, and commitment to innovation make him a valuable contributor to both academic and applied agricultural research.

🔬 Research Focus

  • His primary research interests include abiotic stress tolerance, plant breeding, epigenetic regulation in crops, and the role of non-coding RNAs in stress responses and genetic regulation.

🌎Conclusion

  • With a consistent record of scientific productivity, innovative research direction, technical proficiency, and international collaboration, Muhammad Fahad is highly suitable for the Best Researcher Award. His contributions not only enhance academic understanding but also pave the way for practical solutions to pressing agricultural challenges. Recognizing him with this award would honor a researcher who is truly shaping the future of crop sciences.

📖Publications

  •  MicroRNA gatekeepers: Orchestrating rhizospheric dynamics
    Authors: Muhammad Fahad, Leeza Tariq, Wanchang Li, Liang Wu
    Journal: Journal of Integrative Plant Biology

  •  MicroRNA regulation and environmental sensing in grasses
    Authors: Sajid Muhammad, Muhammad Fahad, Weijun Zhou, Liang Wu
    Journal: Grass Research

  • Comparative Analysis of Phytohormone Biosynthesis Genes Responses to Long-Term High Light in Tolerant and Sensitive Wheat Cultivars
    Authors: Zhi-Ang Li, Muhammad Fahad, Wan-Chang Li, Leeza Tariq, Miao-Miao Liu, Ya-Nan Liu, Tai-Xia Wang
    Journal: Plants

  • Underground communication: Long non-coding RNA signaling in the plant rhizosphere
    Authors: Muhammad Fahad, Leeza Tariq, Sajid Muhammad, Liang Wu
    Journal: Plant Communications

  • Comparative and functional analysis unveils the contribution of photoperiod to DNA methylation, sRNA accumulation, and gene expression variations in short‐day and long‐day grasses
    Authors: Xia Wu, Siyi Chen, Feng Lin, Fahad Muhammad, Haiming Xu, Liang Wu
    Journal: The Plant Journal

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

Kai Hu | Agricultural | Best Researcher Award

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Dr.Kai Hu | Agricultural | Best Researcher Award

Technical Leadership:
  •  His role in designing and improving agricultural machinery reflects leadership in bringing advanced technologies to practical application. His innovations in unmanned systems and hydraulic control mechanisms show his potential for leading future breakthroughs in agricultural mechanization.
 Dr. Kai Hu, Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, China

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🏛️Early Academic Pursuits

  • Hu Kai began his academic journey with a Bachelor’s Degree in Agricultural Machinery Design from Henan University of Science and Technology (2008–2012). Following this, he pursued a Master’s Degree at Shanghai Engineering Technology University (2012–2015), honing his skills in mechanical engineering and agricultural technology. His passion for innovation led him to continue his studies, working toward a PhD from Nanjing Tech University starting in 2019, where he has further advanced his research in agricultural mechanization and intelligent systems.

👨‍🔬 PROFESSIONAL ENDEAVORS

  • Currently an Assistant Researcher at the Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Hu Kai has been instrumental in the development of cutting-edge agricultural machinery. His professional experience spans several years of active involvement in research, design, and innovation, particularly in the areas of unmanned systems and hydraulic-driven machinery. His work focuses on creating intelligent solutions to enhance efficiency in agricultural practices.

🏆 CONTRIBUTIONS AND RESEARCH FOCUS

  • Hu Kai has made significant contributions to agricultural technology through the development of advanced equipment and devices. His key innovations include:
    1. Intelligent Unmanned Transplanter – A groundbreaking device that automates transplanting, improving efficiency and reducing labor costs in farming.
    2. Hydraulic-driven Triangular Track Chassis – A high-performance chassis designed for rough terrain, offering stability and mobility in various agricultural environments.
    3. Intelligent Multi-mode Electro-hydraulic Power Output Device – An adaptive power output system for versatile use in agricultural machinery.
    4. Adaptive Leveling and Shaping Electro-hydraulic Control System – A system that enables precise land leveling and shaping, crucial for modern farming techniques.
    5. Multi-mode Hydraulic Steering Device – A versatile hydraulic steering system that improves maneuverability and control in agricultural equipment.

    His research focuses on integrating intelligent control systems and hydraulic mechanisms into agricultural machinery, optimizing machine performance, and enhancing adaptability for different farming scenarios.

📊 IMPACT AND INFLUENCE

  • Hu Kai’s innovations have greatly impacted the field of agricultural mechanization. His work on intelligent machinery has contributed to increased automation in agriculture, reducing the need for manual labor and improving efficiency. His designs have influenced modern agricultural practices, particularly in China, helping to align the industry with global trends in smart farming.

🏅ACADEMIC CITES

  • Although specific citation indexes are not provided, Hu Kai’s work is recognized in the field of agricultural mechanization, and his research has likely been cited in journals and conferences related to intelligent agricultural machinery, hydraulic systems, and automation.

🚀LEGACY AND FUTURE CONTRIBUTIONS

  • Hu Kai’s contributions have laid a strong foundation for future advancements in agricultural machinery. His focus on intelligent systems and electro-hydraulic control mechanisms is expected to influence the next generation of farming equipment, making agriculture more efficient and sustainable. His ongoing PhD research positions him to continue making impactful innovations in the field.

📄Publications

  • Accurate Oil Temperature Prediction Model and Oil Refilling Parameters Optimization for Hydraulic Closed-Circuit System
    Authors: Kai Hu; Zhang Wenyi
    Journal: Applied Sciences
  • Tillage Depth Dynamic Monitoring and Precise Control System
    Authors: Kai Hu; Wenyi Zhang; Bing Qi; Yao Ji
    Journal: Measurement and Control
  • Rotor Design and Optimization of High-Speed Surface-Mounted Permanent Magnet Motor Based on the Multi-Physical Field Coupling Method
    Authors: Kai Hu; Guangming Zhang; Wenyi Zhang
    Journal: IEEE Access
  • Position Control Algorithm of Fuzzy Adaptive PID of Hydraulic Interconnected Suspension Under Load Impact Disturbance
    Authors: Kai Hu; Guangming Zhang; Wenyi Zhang
    Journal: IEEE Access
  • Analysis and Optimization of Temperature Field of High-Speed Permanent Magnet Motor
    Authors: Kai Hu; Guangming Zhang; Wenyi Zhang
    Journal: Advances in Mechanical Engineering

Dr. Xuchao Guo | Smart agriculture | Best Researcher Award | 1146

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Dr. Xuchao Guo | Smart agriculture | Best Researcher Award

Dr. Xuchao Guo, Shandong Agricultural University , China

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EARLY ACADEMIC PURSUITS🎓

Dr. Guo’s academic journey began with his pursuit of a Ph.D. in Computer Science and Technology at China Agricultural University, from which he graduated in 2022. His early academic endeavors were marked by significant achievements, including his selection for the prestigious China Scholarship Council’s joint doctoral student training program in 2020. This opportunity allowed him to gain invaluable international experience and broaden his research horizons.

PROFESSIONAL ENDEAVORS🏢

Currently, Dr. Guo is employed in the Department of Computer Science at the School of Information Science and Engineering, Shandong Agricultural University. His professional endeavors are focused on teaching, mentoring, and conducting cutting-edge research. As an associate professor and master’s supervisor, he plays a crucial role in shaping the next generation of computer science professionals.

CONTRIBUTIONS AND RESEARCH FOCUS🧪

  • Dr. Guo’s research lies at the intersection of natural language processing, multimodal knowledge graph construction, and computer vision. His notable contributions have earned him a position as a reviewer for prestigious journals such as Expert Systems with Applications, Computers and Electronics in Agriculture, and IEEE Transactions on Artificial Intelligence. His work has significantly advanced the field of agricultural intelligence and technology.

 IMPACT AND INFLUENCE🌐

  • Dr. Guo has accumulated over 20 publications, with 9 papers as the first or corresponding author. His work includes 6 SCI papers, three of which are in the Chinese Academy of Sciences Zone 1 with a single impact factor of 8.3, and 3 EI papers. His research has made a substantial impact on the scientific community and has been widely recognized for its innovation and applicability.

 ACADEMIC CITATIONS 📰

    1. Yao, X., Hao, X., Liu, R., Guo, X. (2024). AgCNER, the First Large-Scale Chinese Named Entity Recognition Dataset for Agricultural Diseases and Pests. Sci Data, 11, 769. https://doi.org/10.1038/s41597-024-03578-5. (SCI, Corresponding author)
    2. 王鲁, 刘瑞麟, 黄敬中, 郭旭超. (2024). 基于 CNN-Transformer 的农作物病虫害知识问答意图识别与槽位填充联合模型. 农业工程学报. http://kns.cnki.net/kcms/detail/11.2047.S.20240625.1507.054.html. (EI, Corresponding author)
    3. Hao X, Wang L, Zhu H, Guo X. (2023). Joint agricultural intent detection and slot filling based on enhanced heterogeneous attention mechanism. Computers and Electronics in Agriculture, 207, 107756. (SCI, Corresponding author)
    4. Guo X, Lu S, Tang Z, et al. (2022). CG-ANER: Enhanced contextual embeddings and glyph features-based agricultural named entity recognition. Computers and Electronics in Agriculture, 194, 106776. (SCI)
    5. Guo X, Hao X, Tang Z, et al. (2021). Ace-adp: adversarial contextual embeddings based named entity recognition for agricultural diseases and pests. Agriculture, 11(10), 912. (SCI)

LEGACY AND FUTURE CONTRIBUTIONS🌟

  • Currently, Dr. Guo is leading a Natural Science Youth Fund project in Shandong Province. He is also actively participating in several high-profile projects, including the National Science and Technology Innovation 2030 New Generation Artificial Intelligence Major Project and the 13th Five-Year Plan National Key Research and Development Project. These projects highlight his commitment to advancing the field of artificial intelligence and its applications in agriculture.

REVIEWER FOR PRESTIGIOUS JOURNALS🌍

Dr. Guo’s expertise and contributions have been recognized through his role as a reviewer for several prestigious journals, including:

  • Expert Systems with Applications
  • Computers and Electronics in Agriculture
  • IEEE Transactions on Artificial Intelligence

EDITORIAL AND COLLABORATIONS📋

  • Dr. Blala is an Editorial Board Member of the International Journal of Mechanical Engineering and Applications (IJMEA). His collaborative efforts extend across various research institutions and industries, enhancing the development and application of innovative engineering solutions.

CURRENT PROJECTS🔬

  • Leading a Natural Science Youth Fund project in Shandong Province
  • Participating in the National Science and Technology Innovation 2030 New Generation Artificial Intelligence Major Project
  • Involved in the 13th Five-Year Plan National Key Research and Development Project
NOTABLE PUBLICATIONS

  1. Chinese agricultural diseases and pests named entity recognition with multi-scale local context features and self-attention mechanism

    • Authors: X. Guo, H. Zhou, J. Su, X. Hao, Z. Tang, L. Diao
    • Journal: Computers and Electronics in Agriculture
    • Volume: Not specified
    • Issue: Not specified
    • Pages: Not specified
    • Year: 2020

  2. A new trend of quantum image representations

    • Authors: J. Su, X. Guo, C. Liu, L. Li
    • Journal: IEEE Access
    • Volume: Not specified
    • Issue: Not specified
    • Pages: Not specified
    • Year: 2020

  3. An improved novel quantum image representation and its experimental test on IBM quantum experience

    • Authors: J. Su, X. Guo, C. Liu, S. Lu, L. Li
    • Journal: Scientific Reports
    • Volume: Not specified
    • Issue: Not specified
    • Pages: Not specified
    • Year: 2021

  4. Community detection based on genetic algorithm using local structural similarity

    • Authors: X. Guo, J. Su, H. Zhou, C. Liu, J. Cao, L. Li
    • Journal: IEEE Access
    • Volume: Not specified
    • Issue: Not specified
    • Pages: Not specified
    • Year: 2019