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:

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)

🏆 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

Mr. Wenpo Yao | Time Series | Best Researcher Award

Mr. Wenpo Yao, Nanjing University of Posts and Telecommunications, China

Dr. Wenpo Yao is a researcher in Biomedical Engineering at Nanjing University of Posts and Telecommunications, with expertise spanning statistical physics, nonlinear dynamics, time series analysis, and biomedical signal processing. He earned his Ph.D. and Master’s degrees in Signal Processing from Nanjing University of Posts and Telecommunications in 2019 and 2013, respectively, following a Bachelor’s degree in Telecommunication Engineering from Jiangsu University in 2010. Dr. Yao has made significant contributions to the field of nonlinear time series analysis, particularly in developing and applying permutation-based methods to assess time irreversibility in physiological and complex systems. His work has been published in leading journals such as Physical Review E, Chaos, Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, and Physics Letters A. His recent research emphasizes the application of nonlinear metrics to sleep EEG and heart rate variability, offering insights into nonequilibrium dynamics in biomedical signals.

Professional Profile:

SCOPUS

Summary of Suitability: Dr. Wenpo Yao – Best Researcher Award

Dr. Wenpo Yao, currently engaged in Biomedical Engineering at Nanjing University of Posts and Telecommunications, is a highly accomplished researcher with deep expertise in statistical physics, nonlinear dynamics, time series analysis, and biomedical signal processing. His extensive publication record, innovative methodologies, and interdisciplinary research contributions mark him as a highly suitable candidate for the Best Researcher Award.

👨‍🎓 Education

🎓 Ph.D. in Signal Processing
Nanjing University of Posts and Telecommunications
(Sept. 2016 – July 2019)
🎓 Master’s in Signal Processing
Nanjing University of Posts and Telecommunications
(Sept. 2010 – April 2013)
🎓 Bachelor’s in Telecommunication Engineering
Jiangsu University
(Sept. 2006 – June 2010)

💼 Work Experience

🧑‍🏫 Researcher / Faculty in Biomedical Engineering
Nanjing University of Posts and Telecommunications
(Exact position title not specified, but actively involved in research and publication in the field)
📧 Email: yaowp@njupt.edu.cn

🧠 Research Interests

📈 Statistical Physics
🔁 Nonlinear Dynamics
📊 Time Series Analysis
🧬 Biomedical Signal Processing

🏆 Achievements & Honors

📝 Published 12+ high-impact journal papers, many in top-tier journals such as:
- Physical Review E
- Chaos, Solitons & Fractals
- Physics Letters A
- Communications in Nonlinear Science and Numerical Simulation
- Nonlinear Dynamics
- Applied Physics Letters
🧩 Contributed significantly to the field of time irreversibility analysis, especially in biomedical signals like EEG and heart rate variability.
🌟 Collaborative work with notable researchers like M. Perc, indicating international collaboration and interdisciplinary impact.
📈 Developed novel methods and parameters for analyzing nonequilibrium and nonlinear dynamics in complex systems.

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