Huping Mao | Control Theory | Best Researcher Award

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Assoc. Prof. Dr. Huping Mao | Control Theory | Best Researcher Award

Associate Professor at North University of China, China

Dr. Huping Mao 🎓, an Associate Professor at North University of China 🇨🇳, is a dynamic force in the realms of active vibration control, frequency response optimization, and artificial intelligence 🤖. Earning his Ph.D. from the prestigious Huazhong University of Science and Technology, he has rapidly built a reputation through impactful research, publishing four first-author papers 📚—two in Q1 journals and one in Q2—demonstrating both depth and innovation. His contributions, such as advanced eigenstructure assignment methods and spectral element modeling, bridge theory and engineering practice 🛠️. With a book publication 📖 and active collaborations under his belt, Dr. Mao continues to expand his academic reach. Although early in citation influence and industry engagement, his trajectory shows promise 🚀. Passionate about pushing boundaries and solving real-world problems, Dr. Mao is not just a scholar—he’s a visionary ready to shape the future of intelligent systems 💡🔧.

Professional Profile 

Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Huping Mao’s academic journey is rooted in excellence and curiosity. He earned his Ph.D. from the renowned Huazhong University of Science and Technology, a cradle for technical brilliance in China. During his doctoral studies, he cultivated a strong foundation in dynamic systems, control engineering, and applied mathematics 🔍. His passion for research ignited early and was nurtured through rigorous training and academic exploration 📚. With a clear focus on engineering innovation, Dr. Mao developed expertise that spans both theory and real-world application. His educational background reflects a balance of deep learning and scientific vision, laying a solid path for impactful scholarly contributions 🧠✨.

Professional Experience💼

Currently serving as an Associate Professor at North University of China, Dr. Mao blends research intensity with academic mentorship. Over the years, he has contributed significantly to teaching and curriculum development, guiding students through the complexities of control systems and intelligent engineering 🛠️. His classroom is not just a place of lectures but a hub of inspiration, fostering critical thinking and innovation 🧑‍🎓. Beyond teaching, he’s actively involved in project supervision and collaborative research, embodying the role of both educator and investigator. With a career shaped by discipline and discovery, Dr. Mao continues to drive academic excellence and motivate the next generation of thinkers 🚀👨‍🏫.

Research Interest 🔬🤖

Dr. Mao’s research is at the fascinating intersection of control theory, mechanical vibrations, and artificial intelligence. His interests revolve around active vibration control, where he explores smarter ways to stabilize complex systems, and frequency response optimization, enhancing the performance of mechanical structures ⚙️. His innovative application of the spectral element method to dynamic analysis reflects a desire to merge classical techniques with modern computational tools 💡. Passionate about applying AI in engineering contexts, he’s carving new paths where machines think—and react—smarter. Dr. Mao’s research doesn’t just live in labs; it’s aimed at improving real-world systems, from vehicles to robotics, in ways that are both intelligent and efficient 🤯🧠.

Awards and Honors 🏅📜

While still in the ascent of his academic journey, Dr. Mao has already received recognition for his scholarly pursuits. Publishing in Q1 and Q2 journals is no small feat—it marks him as a researcher with high impact and global relevance 🌍. His book publication with an official ISBN further underscores his role as a thought leader and contributor to academic literature 📖. Though formal accolades and honorary titles may be few at this stage, the quality and depth of his contributions speak volumes. With his trajectory, it’s only a matter of time before awards and honors follow the trail of his ideas. Dr. Mao is a rising star, illuminating the path of research with each step forward 🌟🧾.

Conclusion 🧭🌟

Dr. Huping Mao is more than a researcher—he’s a catalyst for innovation, a mentor, and a lifelong learner. With a robust academic background, meaningful teaching experience, and forward-thinking research, he’s helping shape the future of intelligent engineering systems 🚀🔍. While he continues to build citation impact and expand into industry collaboration, the foundations of excellence, curiosity, and contribution are firmly in place. Whether through his papers, his classroom, or his evolving ideas, Dr. Mao exemplifies the spirit of modern scholarship—bold, collaborative, and driven by purpose 🌐💼. The future holds vast potential, and Dr. Mao is undoubtedly on a path to achieving even greater heights in academia and beyond 🏆🌱.

Publications Top Notes

📘 Title: Vibration PID Control Design by Receptance-Based Partial Eigenstructure Assignment

  • Authors: Huping Mao, Yulong Du

  • Year: 2025 📅

  • Source: Applied Mathematical Modelling 📚

📗 Title: Partial Eigenstructure Assignment of the Vibration System Based on Multi-Input PID Active Control

  • Authors: Huping Mao, Yulong Du

  • Year: 2024 📅

  • Source: Journal of Vibration and Control (JVC) 🛠️

🎤 Title: Advancing Automobile Active Suspension Control: An Empirical Study on the Soft Actor-Critic Algorithm

  • Authors: Zhao Wang, Changzhao Xu, Da Han, Yang Yu, Huping Mao

  • Year: 2024 (Conference Paper) 🗓️

  • Citations: 1 📈

  • Source: Conference Proceedings 🎓

 

Jiangming Xu | Control Theory | Best Researcher Award

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Dr. Jiangming Xu | Control Theory | Best Researcher Award

Shanghai at Shanghai Jiao Tong University, China

Jiangming Xu is a promising researcher specializing in dynamic systems, networked control, and semi-Markov systems. Currently pursuing a Ph.D. at Shanghai Jiao Tong University, he has demonstrated strong expertise through multiple high-impact publications in prestigious journals such as IEEE Transactions on Cybernetics, Automatica, and Information Sciences. His research focuses on protocol-based control, stability analysis, and sliding mode control, with applications in power systems, industrial automation, and cyber-physical systems. While his contributions are impressive, most of his papers position him as a co-author rather than a lead researcher, highlighting the need for independent research leadership. Expanding international collaborations, increasing citation impact, and securing research grants would further elevate his academic standing. With his solid foundation in applied mathematics and control theory, Jiangming Xu has significant potential to emerge as a leading expert in his field, making him a strong but evolving candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile

Education

Jiangming Xu has built a strong academic foundation in applied mathematics and control systems. He earned his Bachelor of Science degree from the School of Mathematics and Information Sciences at Lingnan Normal University (2017–2021), followed by a Master of Science from Guangxi Normal University (2021–2024). Currently, he is pursuing a Ph.D. at the School of Mathematics and Statistics, Shanghai Jiao Tong University, a top-tier institution in China. His academic journey reflects a steady progression in mathematical modeling, system control, and nonlinear stability. Throughout his education, he has developed expertise in dynamic systems, stochastic processes, and optimization techniques, which have become the foundation of his research. His advanced studies focus on semi-Markov systems, event-triggered control, and stability analysis, positioning him as a rising researcher in his field. His continuous pursuit of knowledge in control theory and mathematical modeling showcases his commitment to contributing innovative solutions to real-world engineering and automation problems.

Professional Experience

Jiangming Xu’s professional experience primarily revolves around academic research and collaborations within top-tier Chinese institutions. While pursuing his graduate studies, he has been actively involved in research on control systems, collaborating with faculty members and researchers from leading universities. His work spans theoretical and applied aspects of networked control, dynamic stabilization, and semi-Markov systems. He has contributed to high-impact publications in prestigious journals, demonstrating his ability to conduct rigorous mathematical analysis and apply it to engineering challenges. His experience includes designing advanced control algorithms, analyzing nonlinear system stability, and working on sliding mode control methods for industrial applications. Despite being early in his career, he has showcased strong research potential through multiple journal contributions and collaborations. As he progresses in his Ph.D. studies, gaining hands-on experience in interdisciplinary projects, industry collaborations, or postdoctoral research will further strengthen his expertise and establish him as a leader in control theory and applied mathematics.

Research Interest

Jiangming Xu’s research interests lie in the intersection of control theory, applied mathematics, and dynamic system analysis. He focuses on networked control systems, semi-Markov processes, and nonlinear system stability, aiming to develop robust control strategies for complex engineering applications. His work on event-triggered control, sliding mode control, and probabilistic time-varying delays addresses challenges in power systems, industrial automation, and cyber-physical systems. He is particularly interested in protocol-based control techniques, which enhance system resilience and efficiency under uncertainties. His research also extends to singularly perturbed systems and neural network-based control, integrating artificial intelligence with traditional control methodologies. Jiangming Xu’s contributions advance theoretical frameworks and have practical implications for industries requiring stable and efficient automation. His work aligns with cutting-edge developments in intelligent control, making him a valuable contributor to both academia and industry. Expanding his research to interdisciplinary applications could further elevate his global impact.

Awards and Honors

Although Jiangming Xu has an impressive research record, his profile does not currently highlight any significant awards or honors. His achievements are primarily reflected in his high-quality publications in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics, and Automatica. These publications signify his academic excellence and contributions to the field of control theory. Securing competitive research grants, fellowships, and academic awards would further strengthen his professional recognition. As he continues to expand his research impact, Jiangming Xu has strong potential to receive accolades for his work in mathematical modeling and control systems. Participation in international awards, winning best paper awards, and securing funding for innovative projects will further solidify his reputation. Given his strong research trajectory, it is expected that he will gain notable recognitions in the near future as he continues making significant contributions to applied mathematics and automation research.

Conclusion

Jiangming Xu is an emerging researcher with strong academic credentials, a focused research portfolio, and multiple high-impact publications in control theory and applied mathematics. His work on networked control, semi-Markov systems, and nonlinear stabilization demonstrates a solid understanding of theoretical and applied concepts in automation and system dynamics. While his contributions as a co-author are commendable, taking on more independent research leadership roles, securing competitive grants, and expanding international collaborations will elevate his academic stature. He has the potential to make groundbreaking contributions to control systems, particularly in enhancing stability and optimization techniques. To further strengthen his candidacy for prestigious research awards, he should focus on increasing citation impact, engaging in global research networks, and achieving greater recognition through awards and honors. With his current trajectory, Jiangming Xu is on the path to establishing himself as a leading expert in advanced control strategies, making him a promising candidate for future academic excellence awards.

Publications Top Noted

  • Title: “Protocol-Based Control for Semi-Markov Jump Systems with Dynamic Quantization”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2022
    Source: IEEE Transactions on Circuits and Systems II: Express Briefs

  • Title: “Dynamic Event-Triggered Control for Semi-Markov Singularly Perturbed Systems with General Transition Rates”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2023
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Protocol-Based Sliding Mode Control for Fuzzy Semi-Markov Switching Systems with Multizone Probabilistic Time-Varying Delays”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2025
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Protocol-Based Sliding Mode Control for Singularly Perturbed Switching Systems with Sojourn Probabilities”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: Automatica

  • Title: “Finite-Time Optimal Control for Markov Jump Systems with Singular Perturbation and Hard Constraints”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: Information Sciences

  • Title: “Protocol-Based Load Frequency Control for Power Systems with Nonhomogeneous Sojourn Probabilities”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Neural Network-Based Sliding Mode Control for Semi-Markov Jumping Systems with Singular Perturbation”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2024
    Source: IEEE Transactions on Cybernetics

  • Title: “Protocol-Based Sliding Mode Control for Singularly Perturbed Systems with Switching Parameters and Deception Attacks”
    Authors: C. Shen, J. Xu, et al.
    Year: 2024
    Source: Information Sciences

  • Title: “Protocol-Based Sliding Mode Control for Switched Systems with Multizone Probabilistic Time-Varying Delays”
    Authors: Z. Zhao, J. Xu, et al.
    Year: 2024
    Source: IEEE Transactions on Industrial Informatics