Jie Chao | DNA Nanotechnology | Best Researcher Award

Published on by China Scientist

Prof. Jie Chao | DNA Nanotechnology | Best Researcher Award 

Prof. Jie Chao is a leading researcher in DNA nanotechnology and biomedical diagnostics. She earned her PhD from Nanjing University and currently serves as the Director of the National Key Laboratory of Biological Intelligent Materials and Diagnosis & Treatment Technologies and Dean of Portland College at Nanjing University of Posts and Telecommunications. She has pioneered intelligent DNA nanodevices for precise disease diagnosis and targeted therapy, introducing novel concepts such as “pattern recognition” molecular sensing and “logical decision-making” diagnostics. With 149 SCI publications and multiple national research projects, she is a recipient of the National Excellent Young Scientist Fund and Jiangsu Province Outstanding Youth Fund.

Prof. Jie Chao | Nanjing University of Posts and Telecommunications | China

Profile

SCOPUS ID

🎓Education

  • Prof. Jie Chao received her PhD degree from Nanjing University, where she developed a strong foundation in nanotechnology, molecular diagnostics, and biomedical engineering. Her academic journey has been marked by a dedication to advancing DNA nanodevices and their applications in precision medicine.

👨‍🏫Experience

  • Currently serving as a Professor at Nanjing University of Posts and Telecommunications, Prof. Jie Chao holds several key leadership positions. She is the Director of the National Key Laboratory of Biological Intelligent Materials and Diagnosis & Treatment Technologies (Fostering Construction Site) and the Dean of the Portland College at Nanjing University of Posts and Telecommunications. With extensive experience in research and innovation, she has pioneered the concepts of “pattern recognition” molecular sensing and “logical decision-making” intelligent diagnosis and therapy, contributing significantly to the field of biomedical engineering.

🏆Awards and Recognitions

  • Prof. Chao has been recognized for her outstanding contributions to science and technology. She is a recipient of the National Excellent Young Scientist Fund and the Jiangsu Province Outstanding Youth Fund. Her groundbreaking research has been extensively featured in prestigious international journals, underscoring her impact on the scientific community.

đź’ˇSkills and Certifications

  • Her expertise lies in DNA nanotechnology, chemical and biological sensing, molecular diagnostics, targeted therapy, and intelligent biomedical devices. She specializes in designing and assembling programmable DNA nanodevices with precise structures and functions, enabling advanced applications in disease detection and treatment. Her work integrates molecular self-adaptation and self-driving mechanisms, pushing the boundaries of intelligent medical diagnostics.

🔬 Research Focus

  • Prof. Chao’s research is centered on developing innovative in vitro diagnostic techniques and targeted therapeutic strategies for major diseases. She has made significant advancements in constructing dynamic DNA nanodevices with hierarchical assembly methods, enabling deep molecular search and parallel computation at the single-molecule level. Her pioneering strategies in pattern recognition and intelligent decision-making in DNA nanodevices have led to a deeper understanding of biological recognition mechanisms, opening new possibilities for precise medical diagnostics and treatment. Her groundbreaking studies have been published in top-tier journals such as Nature Materials, Nature Chemistry, Science Advances, Journal of the American Chemical Society, Angewandte Chemie International Edition, and ACS Nano, cementing her position as a leader in the field of DNA nanotechnology.

🌎Conclusion

  • Prof. Jie Chao is an exemplary scientist whose research has significantly advanced DNA nanotechnology, biomedical diagnostics, and intelligent disease therapy. Her ability to combine interdisciplinary knowledge with innovative methodologies has led to groundbreaking discoveries with global impact. With an outstanding track record in research, innovation, leadership, and academic contributions, she is a highly deserving candidate for the Best Researcher Award. Her pioneering work not only contributes to the advancement of scientific knowledge but also has profound implications for improving medical diagnostics and treatment worldwide

đź“–Publications

  • Artificial molecular communication network based on DNA nanostructures recognition
    Authors: J. Wang, M. Xie, L. Ouyang, C. Fan, J. Chao
    Journal: Nature Communications, 2025

  •  Parameter Pool-Assisted Centrifugation Sorter for Multiscale Higher-Order DNA Nanomaterials
    Authors: L. Ouyang, J. Wang, B. Liu, C. Fan, J. Chao
    Journal: ACS Nano, 2025

  • The enhancing effect of DNA tetrahedron-based lactoferrin as an assembled adjuvant in immunotherapy
    Authors: M. Xu, T. Zhou, B. Yang, D. Zhu, L. Weng
    Journal: Chemical Engineering Journal, 2025

  •  Non-discriminating engineered masking of immuno-evasive ligands on tumour-derived extracellular vesicles enhances tumour vaccination outcomes
    Authors: X. Ding, J. Zhang, S. Wan, D.T. Leong, L. Wang
    Journal: Nature Nanotechnology, 2025

  • Non-enzymatic aptazyme-driven autonomous DNA circuits coupled with three-junction CHA for amplified live-cell ATP imaging
    Authors: D. Zhu, Y. Hu, Y. Xia, S. Su, L. Wang
    Journal: Sensors and Actuators B: Chemical, 2024

Wenyan Wang | Biological Information | Best Researcher Award

Published on by China Scientist

Dr. Wenyan Wang | Biological Information | Best Researcher Award 

Wang Wenyan is a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She holds a master’s degree in Control Theory and Control Engineering and a bachelor’s degree in Automation from the same university. Her research centers on artificial intelligence applications in industrial automation and defect detection. She has contributed to patents on apple leaf disease identification using convolutional neural networks and steel surface defect detection. Proficient in C programming and fluent in English (CET-6), she combines technical expertise with innovation in intelligent manufacturing.

Dr. Wenyan Wang | Anhui University of technology | China

Profile

SCOPUS ID

🎓Education

  • Wang Wenyan is currently a PhD student at Anhui University of Technology, specializing in Metallurgical Engineering with a focus on Metallurgical Intelligent Manufacturing. She pursued her master’s degree at the same university from September 2015 to June 2018 in Control Theory and Control Engineering. Her academic journey began at the Anhui University of Technology Business School, where she earned a bachelor’s degree in Automation from September 2011 to June 2015.

👨‍🏫Experience

  • Throughout her academic career, Wang Wenyan has been deeply involved in research and development, particularly in the areas of intelligent manufacturing and industrial automation. Her work integrates advanced control theories and computational techniques to enhance metallurgical processes.

🏆Awards and Recognitions

  • Wang Wenyan has contributed to groundbreaking research in the field of intelligent manufacturing, securing patents that demonstrate her innovative capabilities. She played a key role in the development of a convolutional neural network-based method for identifying apple leaf diseases, which was authorized in 2021. Additionally, she co-developed a method for detecting surface defects in steel products, balancing speed and accuracy, which is currently under examination.

đź’ˇSkills and Certifications

  • With a strong technical background, Wang Wenyan is proficient in C programming and has achieved a Level 2 certification. She also has a solid command of the English language, having passed the CET-6 exam. Her expertise lies in control engineering, artificial intelligence applications, and industrial automation.

🔬 Research Focus

  • Her research is centered on intelligent manufacturing within the metallurgical industry, particularly in the application of artificial intelligence and control systems to optimize industrial processes. She is actively engaged in developing advanced defect detection techniques and automation solutions that enhance efficiency and precision in metallurgical engineering.

🌎Conclusion

  • With her strong technical skills, research impact, and pioneering work in intelligent automation, Dr. Wang Wenyan is a highly deserving candidate for the Best Researcher Award. Her contributions hold significant promise for enhancing industrial efficiency, quality control, and smart manufacturing systems.

đź“–Publications

  • Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning
    Authors: W. Wang, Wenyan; W. Shi, Wei; C. Nie, Chuanqi; B. Wang, Bing; J. Yang, Jialiang
    Journal: Biomedical Signal Processing and Control, 2025

  • SOKD: A Soft Optimization Knowledge Distillation Scheme for Surface Defects Identification of Hot-Rolled Strip
    Authors: W. Wang, Wenyan; Z. Ren, Zheng; C. Wang, Cheng; X. Pan, Xuejuan; B. Wang, Bing
    Journal: ISIJ International, 2025

  • Improving bearing fault diagnosis method based on the fusion of time–frequency diagram and a novel vision transformer
    Authors: J. Wang, Jingyuan; Y. Zhao, Yuan; W. Wang, Wenyan; Z. Wu, Ziheng
    Journal: Journal of Supercomputing, 2025