Zebin Su | Machine Vision | Best Researcher Award

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Assoc. Prof. Dr. Zebin Su | Machine Vision | Best Researcher Award

PhD, Xi’an Polytechnic University China

Zebin Su is a researcher specializing in machine vision, machine learning, and image generation. He earned his Ph.D. from Xi’an University of Technology and has made significant contributions to artificial intelligence and computer vision. His work focuses on developing advanced algorithms for automated image processing and deep learning applications. With a passion for AI-driven innovations, he has authored numerous research papers and collaborated on cutting-edge projects. He is affiliated with Xi’an Polytechnic University and actively engages in academic and industry collaborations. His research aims to enhance the efficiency and accuracy of image recognition systems.

Profile

Scopus

🎓 Education

Ph.D. in Engineering from Xi’an University of Technology with a focus on machine vision and machine learning. Specialized in deep learning-based image processing and AI-driven computer vision. Conducted extensive research on automated recognition algorithms and generative image techniques. His doctoral research contributed to advancements in AI-driven image synthesis.

💼 Experience 

Researcher at Xi’an Polytechnic University, focusing on AI-driven visual intelligence. Extensive academic experience in teaching and mentoring graduate students in AI and computer vision. Collaborated with leading institutions on interdisciplinary AI research projects.

🏆 Awards and Honors 

Recipient of multiple research grants and awards for contributions to machine vision. Recognized for outstanding research in AI-driven image generation and pattern recognition. Acknowledged as a key contributor in several high-impact AI research initiatives.

🔬 Research Focus

Machine vision, machine learning, image generation, deep learning-based automated recognition, AI-driven visual processing, generative adversarial networks (GANs) for image synthesis.

Conclusion 

While Dr. Zebin Su possesses a strong research background in AI and image processing, the lack of detailed achievements and impact metrics makes it difficult to determine his suitability for a Best Researcher Award. A more comprehensive resume showcasing publications, citations, funded projects, and recognitions would significantly enhance his chances.

Publication

  • Title: AdaptiveDet: Defect Detection for Digital Printing Fabric with Complex Background
    Authors: Z. Su, X. Zhang, J. Li, P. Li, H. Zhang
    Journal: Journal of Natural Fibers
    Year: 2025
    Citations: 0
    Access: Open access

 

  • Title: Measurement of Yarn Apparent Evenness Based on Modified Canny Edge Detection
    Authors: H. Zhang, S. Cheng, Y. Zhao, Z. Su, P. Li
    Journal: Journal of the Textile Institute
    Year: 2024
    Citations: 2