Zhangbao Xu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhangbao Xu | Engineering | Best Researcher Award 

Fuyang Normal University, China

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ORCID

🎓 Early Academic Pursuits

Dr. Zhangbao Xu embarked on his academic journey in Mechanical Engineering, earning his Ph.D. from Nanjing University of Science and Technology in 2017. During his doctoral studies, he focused on advanced control systems, particularly in the area of electromechanical and hydraulic servo mechanisms. His strong academic foundation laid the groundwork for a research-intensive career, which he expanded upon through postdoctoral research at the Nanjing University of Aeronautics and Astronautics, a leading institution in aerospace and control technologies.

👨‍💼 Professional Endeavors

Following his postdoctoral fellowship, Dr. Xu joined Fuyang Normal University as an Associate Professor in the School of Computer and Information Engineering. In this role, he has been actively involved in both teaching and research, mentoring students and collaborating with interdisciplinary teams on cutting-edge technological challenges. His role reflects a commitment to bridging theoretical principles with real-world applications in robotics, intelligent systems, and servo control.

🔬 Contributions and Research Focus

Dr. Xu's primary research interests include high-performance control of electromechanical hydraulic servo systems, intelligent control of nonlinear systems, and advanced robotic control technologies. His innovative work has contributed to enhanced system stability, responsiveness, and energy efficiency in automation. His research has often intersected with artificial intelligence techniques, enabling adaptive learning in dynamic system environments.

🌍 Impact and Influence

With over 20 SCI-indexed journal articles published in top-tier international journals—such as IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, Mechanical Systems and Signal Processing, and Nonlinear Dynamics—Dr. Xu has established a strong global footprint. His scholarly works have garnered over 440 citations (Web of Science), including one Highly Cited Paper, reflecting the significant impact of his contributions on the research community. Importantly, more than 10 internationally and domestically recognized academicians and industry experts have cited and positively reviewed his work.

📚 Academic Cites

His research has not only found academic traction but also practical validation. Publications in IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Systems, Man, and Cybernetics: Systems underscore his multidisciplinary expertise. This citation record attests to his recognition in both industrial and academic spheres.

🛠️ Technical Skills

Dr. Xu possesses deep expertise in nonlinear control, servo system design, adaptive control algorithms, mechatronics, and robotics engineering. His ability to integrate hardware-in-the-loop simulation with intelligent control strategies marks his technical versatility. He also demonstrates proficiency in simulation tools and control programming platforms such as MATLAB/Simulink, LabVIEW, and real-time embedded systems.

👨‍🏫 Teaching Experience

At Fuyang Normal University, Dr. Xu actively engages in curriculum development and instruction in control systems, robotics, and mechatronics engineering. He mentors graduate and undergraduate students, fostering research skills, innovation, and critical thinking. His classroom leadership is supported by real-world applications, making his courses highly practical and industry-relevant.

🧪 Innovation and Patents

A prolific inventor, Dr. Xu holds 17 authorized national invention patents in China, covering innovations in hydraulic servo systems, robot motion control, and fault-tolerant intelligent control strategies. These patents reflect his practical impact on industrial automation, providing scalable solutions for complex electromechanical systems.

📝 Editorial and Peer Review Activities

He is a guest editor for the journals Electronics and Actuators and serves as a regular reviewer for numerous prestigious journals, including IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, Aerospace Science and Technology, and Mechanical Systems and Signal Processing. His involvement ensures the maintenance of high publication standards and promotes rigorous peer discourse in the engineering community.

🌟 Legacy and Future Contributions

Dr. Xu’s contributions have positioned him as a forward-thinking scholar with a clear vision of the future. His integration of intelligent control with robotics is paving the way for next-generation autonomous systems, and his continued collaboration with national and provincial agencies promises more innovation. With a solid foundation of achievements and ongoing research momentum, Dr. Xu is poised to make even greater strides in the fields of mechatronics, robotics, and intelligent control.

Dr. Zhangbao Xu embarked on his academic journey in Mechanical Engineering, earning his Ph.D. from Nanjing University of Science and Technology in 2017. During his doctoral studies, he focused on advanced control systems, particularly in the area of electromechanical and hydraulic servo mechanisms. His strong academic foundation laid the groundwork for a research-intensive career, which he expanded upon through postdoctoral research at the Nanjing University of Aeronautics and Astronautics, a leading institution in aerospace and control technologies.

Selected Publications

Title: Barrier Lyapunov Function-Based Adaptive Output Feedback Prescribed Performance Controller for Hydraulic Systems with Uncertainties Compensation
Authors: Xu, Z.; Sun, C.; Hu, X.; Liu, Q.; Yao, J.
Journal: IEEE Transactions on Industrial Electronics
Year:

Title: Observer-Based Prescribed Performance Adaptive Neural Output Feedback Control for Full-State-Constrained Nonlinear Systems with Input Saturation
Authors: Xu, Z.; Zhou, X.; Dong, Z.; Sun, C.; Shen, H.
Journal: SSRN
Year: 2023

Title: Output-Feedback Prescribed Performance Control for the Full-State Constrained Nonlinear Systems and Its Application to DC Motor System
Authors: Xu, Z.; Sun, C.; Liu, Q.
Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2023

Title: Active disturbance rejection control for hydraulic systems with full-state constraints and input saturation
Authors: Xu, Z.; Sun, C.; Yang, M.; Liu, Q.
Journal: IET Control Theory and Applications
Year: 2022

Title: ESO-based adaptive full state constraint control of uncertain systems and its application to hydraulic servo systems
Authors: Xu, Z.; Qi, G.; Liu, Q.; Yao, J.
Journal: Mechanical Systems and Signal Processing
Year: 2022

Mengyuan Chen| Control Technology and Instrumentation | Best Researcher Award

Mrs. Mengyuan Chen| Control Technology and Instrumentation | Best Researcher Award

Yangtze University, China

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🧠 Early Academic Pursuits

Mengyuan Chen, an aspiring scholar at Yangtze University, is currently pursuing her undergraduate degree in Measurement & Control Technology and Instrumentation (2023–2027). With a GPA of 4.01/5.0 and ranking 1st in her major, she demonstrates exceptional dedication and academic brilliance. Her coursework reflects a strong foundation in technical systems including Signals and Systems, Digital Electronics, Sensing Technology, and Analog Electronics. In recognition of her academic performance, she was awarded the National Encouragement Scholarship (2024) — a notable milestone in her early educational journey.

💼 Professional Endeavors

Although still in the early phase of her academic trajectory, Mengyuan has begun laying the groundwork for a promising career in engineering and applied sciences. Her participation in the National College Students’ Innovation and Entrepreneurship Competition exemplifies her initiative and problem-solving abilities. The project focused on Oil and Gas Pipeline Leak Detection Devices, highlighting her keen interest in real-world industrial challenges and instrumentation reliability. While she currently holds no formal professional position or consultancy affiliation, her involvement in such a prestigious student competition signals a strong start to future endeavors.

🔬 Contributions and Research Focus

Mengyuan's early foray into research has already borne fruit, with a publication in an SCI-indexed journal, Electronics (MDPI). The article titled “A Commodity Recognition Model Under Multi-Size Lifting and Lowering Sampling” addresses algorithmic approaches to recognition tasks in dynamic environments — a subject with broad applications in automation and sensing. This achievement speaks to her analytical depth and her ability to engage in complex scientific inquiries early in her career. Her current focus remains rooted in measurement systems, recognition models, and intelligent instrumentation.

🌍 Impact and Influence

Though at the beginning of her research journey, Mengyuan Chen's work has already reached an international scientific audience through her publication indexed in SCI. While her citation index is currently developing, her potential to contribute impactful research is undeniable. She is on a clear trajectory to influence fields such as instrumentation systems, embedded sensing, and intelligent control technologies. Her project on pipeline leak detection also reflects societal and environmental relevance — tackling issues that directly affect infrastructure safety and resource management.

📚 Academic Citations & Publications

  • SCI Publication: “A Commodity Recognition Model Under Multi-Size Lifting and Lowering Sampling”
    📖 Published in Electronics, MDPI — View Article

  • Citations: Currently none (as expected for a recent publication by a first-year undergraduate)
    Her proactive publication at this academic stage is an impressive achievement, reflecting research maturity uncommon for undergraduates.

🛠️ Technical Skills

Mengyuan demonstrates proficiency in foundational and emerging areas of engineering, including:

  • Signal Processing and Analysis

  • Digital & Analog Circuit Design

  • Sensor Systems and Instrumentation

  • Data Sampling Algorithms and Model Recognition

These technical competencies position her well for future contributions in smart systems, automation, and real-time monitoring technologies.

👩‍🏫 Teaching & Leadership Experience

Although Mengyuan is currently focused on her academic training and research, her leadership potential is evident. Her recognition as a candidate for the Outstanding Communist Youth League Member highlights her dedication to service, discipline, and community values. While she has not yet held teaching positions, her early distinction indicates she may excel in mentorship and academic leadership roles in the future.

🌟 Legacy and Future Contributions

Mengyuan Chen represents the next generation of research leaders. With a solid academic base, early research recognition, and a mindset geared toward real-world applications, she is poised to make substantial contributions to science and society. As she continues her education, we can expect her to delve deeper into intelligent instrumentation, environmental safety technologies, and signal-based systems, potentially shaping the future of automation and sensor engineering.

Selected Publications

  • Recycling end-of-life electric vehicle lithium-ion batteries
    M. Chen, X. Ma, B. Chen, R. Arsenault, P. Karlson, N. Simon, Y. Wang
    Joule, 2019, 3(11), pp. 2622–2646

  • Current and prospective Li-ion battery recycling and recovery processes
    J. Heelan, E. Gratz, Z. Zheng, Q. Wang, M. Chen, D. Apelian, Y. Wang
    JOM, 2016, 68, pp. 2632–2638

  • High-performance graphite recovered from spent lithium-ion batteries
    X. Ma, M. Chen, B. Chen, Z. Meng, Y. Wang
    ACS Sustainable Chemistry & Engineering, 2019, 7(24), pp. 19732–19738

  • Recycled cathode materials enabled superior performance for lithium-ion batteries
    X. Ma, M. Chen, Z. Zheng, D. Bullen, J. Wang, C. Harrison, E. Gratz, Y. Lin, ...
    Joule, 2021, 5(11), pp. 2955–2970

  • Closed Loop Recycling of Electric Vehicle Batteries to Enable Ultra-high Quality Cathode Powder
    M. Chen, X. Ma, Y. Wang
    2018 MRS Fall Meeting & Exhibit: BI01.03.05, 2018

  • Systematic study of Al impurity for NCM622 cathode materials
    R. Zhang, Y. Zheng, Z. Yao, P. Vanaphuti, X. Ma, S. Bong, M. Chen, Y. Liu, ...
    ACS Sustainable Chemistry & Engineering, 2020, 8(26), pp. 9875–9884