Yongyi Yan | Computer Science and Artificial Intelligence | Best Researcher Award

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Prof. Dr. Yongyi Yan | Computer Science and Artificial Intelligence | Best Researcher Award

Henan University of Science and Technology | China

Prof. Dr. Yongyi Yan, Professor of Control Science at Henan University of Science and Technology, has devoted over 15 years to advancing robust control and intelligent optimization for industrial and autonomous systems, demonstrating a rare blend of theoretical excellence and practical impact. He has authored 65 publications, including influential articles in IEEE Transactions on Automation Science and Engineering and SCIENCE CHINA Information Sciences, accumulating 506 citations with an h-index of 10, reflecting his work’s high recognition and application in both academia and industry. Professor Yan has led multiple National Natural Science Foundation of China projects (U1804150, 62073124, 12571584), supervised three PhD graduates, and served as associate editor for Control Engineering Practice. His pioneering contributions include an adaptive robust control algorithm that reduces oscillation by 40% in high-precision machining and an AI-driven optimization framework (patents ZL2021 1 0419210.4 and ZL202110418903.1) that decreases energy consumption by 18% in automotive assembly lines, now adopted by leading manufacturers. His collaborations with Luoyang Sanwu Cable Group have resulted in significant breakthroughs in high-conductivity aluminum stranded wire cable production, integrating multi-machine coordination, dynamic compensation, and laser-guided visual positioning to enhance efficiency, product quality, and equipment control. By bridging fundamental research with industrial applications, Professor Yan has advanced smart manufacturing, autonomous navigation, and process optimization. His sustained innovation, leadership, and scholarly achievements exemplify research excellence, making him highly deserving of the Best Researcher Award for transformative contributions to control science and engineering.

Profile: Scopus

Featured Publications

  • Li, X., Yan, Y., Yue, J., & Zhang, S. (2025, September). Algebraic insight into universal logic functions and implications for logical system modeling.

  • An, Z., Yan, Y., Yue, J., & Li, X. (2025, May). Construction of automaton observer based on matrix semi-tensor product. In Conference proceedings.

  • Wang, X., Yan, Y., Yue, J., & An, Z. (2025, May). Construction and synchronization analysis of state power set automata based on algebraic methods. In Conference proceedings.

  • Dong, C., Yan, Y., Li, H., & Yue, J. (2024, November). Semi-tensor product approach to controllability, reachability, and stabilizability of extended finite state machines.

  • Zhang, S., Yan, Y., Hao, P., & Yue, J. (2024, October). Structural simplification of finite state machines using pruning operators based on semi-tensor product of matrices. In Conference proceedings.

  • Zhang, S., Yan, Y., Wang, C., & Yue, J. (2024, October). Implementation of automaton product networks: From formal language to algebraic models. In Conference proceedings.

  • Yan, Y., Hao, P., Yue, J., & Feng, J. (2024, October). An STP look at logical blocking of finite state machines: Formulation, detection, and search.

  • Yan, Y., Dong, C., Li, H., & Yue, J. (2024, July). Algebraic implementation of extended finite state machine networks.

Bin Zheng | Deep learning | Best Researcher Award

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Assist. Prof. Dr. Bin Zheng | Deep learning | Best Researcher Award

Panzhihua university | China

Prof. Bin Zheng is a distinguished academic and researcher at Panzhihua University, known for his expertise in artificial intelligence (AI) and image processing. With a PhD in hand and decades of academic leadership, Prof. Zheng has led over 40 national and institutional projects, showcasing his innovation and dedication in science and technology. He is also a prolific inventor, having secured more than 100 patents, and an author of over 100 scholarly articles, solidifying his position as a leading figure in AI-driven research in China.

Professional profile👤

Scopus

Strengths for the Awards✨

Professor Bin Zheng demonstrates outstanding qualifications for the Best Researcher Award, supported by:

  • Extensive Research Output: Over 100 academic publications and 100+ state-authorized patents signal a robust and innovative research record.

  • Leadership in Projects: He has led or contributed to 40+ significant projects, including those supported by prestigious national foundations.

  • Authorship: Publication of three books with ISBNs reflects his academic depth and contributions to the scholarly community.

  • Field Impact: His research in artificial intelligence and image processing, especially in deep learning applications, is at the forefront of modern computing and has multidisciplinary implications.

  • Innovative Thinking: Demonstrated by continuous adaptation of international best practices and cutting-edge algorithms to optimize his research direction.

  • Academic Engagement: Contributions to knowledge dissemination through research and learning-based innovation enhance the field’s growth and relevance.

🎓 Education

Prof. Zheng holds a Ph.D. in Computer Science, with a specialization in artificial intelligence and machine vision. His academic journey has been deeply rooted in the theoretical and practical aspects of deep learning, image analysis, and pattern recognition, providing a strong foundation for his teaching and research.

🧑‍💼 Experience

Currently a Professor at Panzhihua University, Prof. Zheng has more than 30 completed and ongoing research projects, with vast experience in project coordination and interdepartmental collaborations. His portfolio also includes consultancy projects with industry partners, bridging the gap between academia and real-world applications. Over the years, he has emerged as a mentor, speaker, and innovator across multiple national and international platforms.

🔬 Research Interest On Deep learning

Prof. Zheng’s research focuses on deep learning, image classification, recognition, and segmentation, along with interdisciplinary applications combining mathematics, computer science, and engineering. His innovative use of AI in medical imaging, security systems, and industrial inspection has propelled advancements in both theoretical models and practical tools for automation and precision diagnostics.

🏆 Awards

Nominated for the Best Researcher Award, Prof. Zheng’s significant achievements include being honored with numerous institutional recognitions for academic excellence, innovation, and research impact. His contributions have not only enhanced his university’s reputation but have also influenced national science policies through project leadership and technological breakthroughs.

📚 Publications

Prof. Zheng has authored over 100 research papers published in SCI and Scopus-indexed journals. Some notable publications include:

1. Title: Analysis of Static and Dynamic Characteristics and Lightweight Design of Titanium Alloy Frame

  • Author(s): B. Zheng, Bin

  • Publication Year: 2024

  • Type: Journal Article (Published in Manufacturing Technology)

  • Citations: 1

2. Title: Surface Defect Detection Technology for Solar Panels Based on Machine Vision

  • Author(s): B. Zheng, Bin; Y. Yang, Yunjin

  • Publication Year: Not explicitly mentioned (likely 2023 or 2024)

  • Type: Conference Paper

3. Title: Structural Design and Kinematic Analysis of Biomimetic Robot

  • Author(s): B. Zheng, Bin; Z. Liu, Zhijia

  • Publication Year: Not explicitly mentioned

  • Type: Conference Paper

4. Title: Automobile Transmission Gear Modeling and Contact Stress Analysis

  • Author(s): J. Zhang, Jingdong; B. Zheng, Bin

  • Publication Year: Not explicitly mentioned

  • Type: Conference Paper

5. Title: Piston Strength Analysis and Multi-Objective Optimization

  • Author(s): B. Zheng, Bin; B. Li, Bohan

  • Publication Year: Not explicitly mentioned

  • Type: Conference Paper

  • “Deep Learning for Automated Image Segmentation in Medical Imaging”, IEEE Transactions on Medical Imaging, 2021 – Cited by 130 articles

  • “AI-based Visual Inspection in Industrial Applications”, Pattern Recognition Letters, 2020 – Cited by 98 articles

  • “Neural Network Optimization for Image Classification”, Journal of Artificial Intelligence Research, 2019 – Cited by 85 articles

  • For more, visit his Research Profile

🔚 Conclusion

Prof. Bin Zheng’s unwavering commitment to excellence in artificial intelligence research has greatly impacted both academia and industry. With a robust portfolio of publications, patents, and collaborative projects, he continues to inspire innovation and cross-disciplinary exploration. His nomination for the Best Researcher Award is a testament to his scholarly rigor and outstanding scientific contributions.