Assoc. Prof. Dr. Yuanyuan Wang | Computer Vision | Best Faculty Award

Associate Professor at Huaiyin Institute of Technology, China

Assoc. Prof. Dr. Yuanyuan Wang is a prominent academic at the Huaiyin Institute of Technology, specializing in computer vision. With over 21 years of experience in teaching and research, she has contributed significantly to intelligent transportation and related fields. A national junior technology broker and a candidate for the prestigious Huaian “533 Talent Project,” Dr. Wang has been instrumental in fostering innovation and technological advancement. She has led numerous scientific research projects and received over 10 municipal and departmental awards. Her passion for mentoring has guided students to achieve excellence in academic competitions and innovation projects.

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Scopus Profile

Education

Dr. Yuanyuan Wang holds a Doctorate in Engineering, underscoring her expertise in computer vision and intelligent systems. She has consistently excelled in her academic pursuits, culminating in recognition as a “Double-Qualified and Double-Competence” educator. Dr. Wang enhanced her global perspective by serving as an academic visitor at the University of Technology Sydney in 2017-2018. Her commitment to continuous learning has positioned her as a leading educator and researcher in the field.

work Experience

Dr. Wang has a diverse professional journey spanning 21 years, currently serving as the Director of the Computer Technology Department at Huaiyin Institute of Technology. She has successfully led over 20 research and industry-academia collaboration projects. Her tenure includes developing innovative solutions in intelligent transportation and construction safety monitoring. Dr. Wang actively engages in technical training and academic exchanges, promoting cutting-edge research in computer vision and smart systems.

Awards and Honors

Dr. Wang’s illustrious career is marked by over 10 municipal and departmental scientific awards. She has been recognized as a talent cultivation candidate for Huaian’s “533 Talent Project” and serves as a Science and Technology Deputy Director in Jiangsu Province. Her mentorship has garnered awards for student teams in provincial and school-level innovation competitions. Additionally, Dr. Wang’s patented inventions and impactful publications highlight her commitment to excellence.

Research Focus

Dr. Wang’s research centers on computer vision applications in intelligent transportation and smart construction sites. She has developed advanced monitoring systems and safety warning technologies, integrating algorithm optimization for enhanced precision. Her innovative work supports the intelligent transformation of industries, aligning with sustainable development goals.

Conclusion

Dr. Yuanyuan Wang stands out as a distinguished candidate for the “Research for Best Faculty Award.” Her exceptional academic accomplishments, innovative research contributions, and dedication to mentorship position her as an exemplary role model in academia. While there are opportunities to further amplify her international presence and societal engagement, her current credentials solidify her suitability for this award.

Publications to Noted

A Steel Defect Detection Method Based on Edge Feature Extraction via the Sobel Operator

Authors: Wang, Y.; Yin, T.; Chen, X.; Zang, H.; Zhao, H.

Year: 2024

Citations: 0

A Lightweight Detection Algorithm for Surface Defects in Small-Sized Bearings

Authors: Wang, Y.; Song, Z.; Abdullahi, H.S.; Zhou, L.; Li, Y.

Year: 2024

Citations: 0

Multiclass Small Target Detection Algorithm for Surface Defects of Chemicals Special Steel

Authors: Wang, Y.; Yan, S.; Abdullahi, H.S.; Chen, X.; Zhao, H.

Year: 2024

Citations: 0

YOLO-RLC: An Advanced Target-Detection Algorithm for Surface Defects of Printed Circuit Boards Based on YOLOv5

Authors: Wang, Y.; Huang, J.; Dipu, M.S.K.; Zhang, H.; Lv, P.

Year: 2024

Citations: 1

Research on a Lightweight PCB Detection Algorithm Based on AE-YOLO

Authors: Wang, Y.; Li, Y.; Kayes, D.M.S.; Song, Z.; Lv, P.

Year: 2024

Citations: 0

The Transmission Line Foreign Body Detection Algorithm Based on Weighted Spatial Attention

Authors: Wang, Y.; Tian, H.; Yin, T.; Gao, S.; Zhou, L.

Year: 2024

Citations: 1

Identification of Illegal Outdoor Advertisements Based on CLIP Fine-Tuning and OCR Technology

Authors: Zhang, H.; Ding, Z.; Sharid Kayes Dipu, M.; Song, Z.; Wang, Y.

Year: 2024

Citations: 0

Safety Helmet Detection Algorithm for Complex Scenarios Based on PConv-YOLOv8

Authors: Wang, Y.; Jiang, F.; Li, Y.; Wang, M.; Yan, S.

Year: 2023

Citations: 0

ORFPPrediction: Machine Learning Based Online Recruitment Fraud Probability Prediction

Authors: Zhang, H.; Wang, M.; Wang, Y.; Gu, D.; Zhu, Y.

Year: 2023

Citations: 0

A Self-Distillation Assisted ResNet-KL Image Classification Network

Authors: Wang, Y.; Tian, H.; Yan, S.; Song, Z.; Shen, Y.

Year: 2023

Citations: 0

Yuanyuan Wang | Computer Vision | Best Faculty Award

Assoc. Prof. Dr. Yuanyuan Wang | Computer Vision | Best Faculty Award

professional profiles

Education

work Experience

Awards and Honors

Conclusion

Publications to Noted

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Assoc. Prof. Dr. Yuanyuan Wang | Computer Vision | Best Faculty Award

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Education <img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/15.1/1f393/32.png" alt="🎓" data-emoji="🎓" aria-label="🎓" />

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Awards and Honors

Conclusion<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/15.1/2705/32.png" alt="✅" data-emoji="✅" aria-label="✅" />

<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/15.1/1f4da/32.png" alt="📚" data-emoji="📚" aria-label="📚" />Publications to Noted

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