Mrs. Yingnan Zhao | Pattern Recognition | Best Scholar Award

Mrs. Yingnan Zhao , Nanjing University of Information Science & Technology , China.

Mrs. Yingnan Zhao 👩‍🔬 is an Associate Professor at the School of Computer, Nanjing University of Information Science and Technology 🇨🇳. She earned her Ph.D. in Pattern Recognition and Intelligent Systems 🎓 and has conducted international research as a visiting scholar in Ireland 🇮🇪 and Australia 🇦🇺. Her teaching includes Data Structures and Operating Systems 💻, and her research interests span character recognition 🔠, image processing 🖼️, and distribution network automation ⚡. With a rich academic and research background, Dr. Zhao contributes significantly to the advancement of intelligent systems and practical computing applications in automation and pattern recognition. 🌍📊

Professional Profile

Scopus

Education & Experience 

🎓 Education

• 📘 Bachelor of Engineering (1992–1996), Computer Application – Shaanxi Normal University

• 📗 Master of Engineering (1999–2002), Computer Application – Shenyang Ligong University

• 📙 Ph.D. in Engineering (2002–2005), Pattern Recognition & Intelligent Systems – Nanjing University of Science and Technology

• 🌍 Visiting Scholar (2010–2011) – Waterford Institute of Technology, Ireland 🇮🇪

• 🌏 Visiting Scholar (2015–2016) – University of Technology Sydney, Australia 🇦🇺

💼 Experience

• 👩‍🏫 Associate Professor (2008–Present), School of Computer, Nanjing University of Information Science and Technology

• 📚 Teaching: Operating Systems, Data Structures, etc.

• 🔬 Research: Pattern Recognition, Image Processing, Distribution Automation

Summary Suitability

Mrs. Zhao Yingnan, a distinguished Associate Professor at the School of Computer, Nanjing University of Information Science and Technology, is a highly suitable candidate for the Best Scholar Award in recognition of her outstanding academic achievements, international research experience, and impactful contributions to computer science, particularly in pattern recognition, image processing, and intelligent automation systems.

Professional Development

Mrs. Zhao’s professional journey has been marked by continuous development through global academic exchange 🌐 and interdisciplinary research 📊. As a visiting scholar in both Ireland 🇮🇪 and Australia 🇦🇺, she broadened her exposure to emerging technologies and global research trends. Her consistent contributions in education and research reflect her commitment to professional excellence 🏅. She actively mentors students 👩‍🎓👨‍🎓, engages in collaborative research projects 🤝, and publishes scholarly articles 📄. Through teaching core computing courses and pioneering studies in automation and image analysis, she continues to evolve as a dynamic academic leader in her field. 🔍🚀

Research Focus

Mrs. Zhao’s research centers around Intelligent Systems and Applied Computing 🧠💡. Her work explores Pattern Recognition 🔍, particularly in character and image recognition 🔠🖼️, where she develops efficient methods for identifying visual patterns. She also investigates Image Processing techniques for extracting meaningful insights from data-rich environments 📷➡️📊. Additionally, her focus on Distribution Network Automation ⚡ reflects her interest in the practical integration of computing systems in smart grids and industrial environments 🔧💻. Bridging theory and application, her research is pivotal in enhancing automation, recognition systems, and smart infrastructure technologies 🌐📡.

Awards and Honors 

• 🥇 Recognized as Visiting Scholar at University of Technology Sydney, Australia

• 🏆 Selected for Academic Exchange Program at Waterford Institute of Technology, Ireland

• 📜 Honored for contributions to Pattern Recognition and Image Processing in academic forums

• 🌟 Commended by Nanjing University of Information Science and Technology for Teaching Excellence

Publication Top Notes

1. Zhao, Y., et al. (2025).
   GDText-VM: An Arbitrary-Shaped Scene Text Detector Based on Globally Deformable VMamba.
   Complex and Intelligent Systems, 2025.

2. Zhao, Y., et al. (Year not specified).
   Chinese Short Text Classification with Hybrid Features and Multi-Head Attention.
   📑 Citations: 2

3. Zhao, Y., et al. (2024).
   Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network.
   Computers, Materials & Continua, 2024. (Open Access)
   📑 Citations: 1

4. Zhao, Y., et al. (2024).
   YOLOv5ST: A Lightweight and Fast Scene Text Detector.
   Computers, Materials & Continua, 2024. (Open Access)

Conclusion

 Mrs. Zhao Yingnan exemplifies the ideals of the Best Scholar Award through her sustained academic excellence, cross-border collaborations, and pioneering research in intelligent computing and automation. Her dedication to education, innovation, and international academic integration makes her a truly deserving recipient of this prestigious honor. 🌟