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.

💡Skills 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.

📖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

Wenyan Wang | Biological Information | Best Researcher Award