Mr. Hanyu Yin | Adaptive Control | Best Researcher Award

Mr. Hanyu Yin | Adaptive Control | Best Researcher Award 

Mr. Hanyu Yin, Yangzhou University, China

Mr. Hanyu Yin received his Bachelor of Engineering degree in Automation from Nanjing University Jinling College, Nanjing, China, in 2023. He is currently pursuing a Ph.D. in Control Engineering at Yangzhou University. His research focuses on multi-agent systems, robust formation control, and stochastic distributed control. Mr. Yin is dedicated to advancing control strategies for complex systems, particularly in uncertain and dynamic environments.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Mr. Hanyu Yin

Mr. Hanyu Yin is an emerging scholar in the field of Control Engineering, with a research focus on multi-agent systems, robust formation control, and stochastic distributed control. Currently pursuing his Ph.D. at Yangzhou University, Mr. Yin has already demonstrated strong potential and a clear trajectory toward impactful, high-level research.

🎓 Education

  • B.Eng. in Automation
    Nanjing University Jinling College, Nanjing, China
    📅 Graduated in 2023

  • Ph.D. in Control Engineering (Pursuing)
    Yangzhou University, Yangzhou, China
    📅 2023 – Present
    🎯 Focus: Multi-agent systems, robust formation control, stochastic distributed control

💼 Work & Research Experience

  • Ph.D. Researcher
    Yangzhou University
    📌 Conducting research in distributed control and multi-agent coordination systems
    🔬 Developing innovative control strategies for robust formation control under uncertainty

🏆 Achievements & Contributions

  • 📚 Contributed to the field of stochastic distributed control through ongoing doctoral research

  • 🤖 Designed and tested multi-agent coordination algorithms for formation control

  • 📈 Presented work at university-level seminars and control systems workshops

🥇 Awards & Honors

  • 🎖️ Outstanding Undergraduate Thesis Award (Nanjing University Jinling College) – 2023

  • 🏅 First-Class Scholarship for Academic Excellence2022, 2023

  • 📘 Merit Student Award – Recognized for academic performance and research initiative

Publication Top Notes:

Adaptive bearing rigid formation control for multiple nonholonomic unicycles with nonlinear dead-zone inputs

Assoc. Prof. Dr. Mao Jun | Nonlinear Control | Best Researcher Award

Assoc. Prof. Dr. Mao Jun | Nonlinear Control | Best Researcher Award

Assoc. Prof. Dr. Mao Jun, China Jiliang University, China

Dr. Mao Jun is an Associate Professor at the School of Mechanical and Electrical Engineering, China University of Metrology. He earned his Ph.D. in Control Science and Engineering from Nanjing University of Science and Technology in 2019, following a Master’s and Bachelor’s degree in the same field from Yangzhou University. Since joining the university in 2019, he has progressed from Lecturer to Associate Professor in 2024. His primary research interests include sampled-data control, nonlinear systems, and time-delay systems. Dr. Mao has served as the principal investigator for a Youth Science Foundation project funded by the National Natural Science Foundation of China. His representative works, published in prestigious IEEE journals, focus on adaptive consensus, output feedback control, and stabilization of complex nonlinear systems. He is recognized as a sole or co-first author in several high-impact research articles.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability: Dr. Mao Jun – Candidate for Best Researcher Award

Dr. Mao Jun, an Associate Professor at the China University of Metrology, has demonstrated significant research achievements in control science and engineering, particularly in the areas of nonlinear system control, sampled-data systems, and finite-time stabilization. His consistent contributions to theoretical and applied control methodologies make him a strong candidate for the Best Researcher Award.

🎓 Education

  • 📍 Ph.D. in Control Science and Engineering
     Nanjing University of Science and Technology (2015.09 – 2019.06)

  • 📍 Master’s in Control Science and Engineering
     Yangzhou University (2012.09 – 2015.06)

  • 📍 Bachelor’s in Electrical Engineering and Automation
     Yangzhou University (2007.09 – 2011.06)

💼 Work Experience

  • 👨‍🏫 Associate Professor
     School of Mechanical and Electrical Engineering, China University of Metrology (2024.01 – Present)

  • 👨‍🏫 Lecturer
     Same institution (2019.07 – 2023.12)

🏆 Achievements & Honors

  • 📚 Published multiple high-impact journal articles in IEEE Transactions on Systems, Man, and Cybernetics: Systems and IEEE Transactions on Fuzzy Systems

    • 🥇 Sole First Author on 4 major IEEE journal papers

    • 🤝 Joint First Author on an IEEE Fuzzy Systems publication (2024)

  • 🔬 Successfully led a National Natural Science Foundation of China Youth Project

    • Project: Finite-time Sampling Control of Nonlinear Systems and Its Applications

    • Grant: ¥300,000

    • Duration: 2022 – 2024

Publication Top Notes:

Adaptive finite-time stabilizing control of fractional-order nonlinear systems with unmodeled dynamics via sampled-data output-feedback

Adaptive Fuzzy Finite-Time Sampled-Data Control for a Class of Fractional-Order Nonlinear Systems

Observer-Based Finite-Time Sampled-Data Control for a Class of Nonlinear Time-Delay Systems

Stability of short memory fractional-order hybrid systems

Stabilization for A Class of Second-order Nonlinear Time-Delay Systems with Input Unmodeled Dynamics by Using Dynamic Gain

Finite-time sampled-data output feedback stabilization for a class of feed-forward non-holonomic systems

Practical Finite-Time Sampled-Data Output Feedback Stabilization for a Class of Upper-Triangular Nonlinear Systems with Input Delay

Self-Tuning Sliding Mode Control for an Uncertain Coaxial Octorotor UAV

Global Stabilization for a Class of Switched Nonlinear Time-Delay Systems via Sampled-Data Output-Feedback Control