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
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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
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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
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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
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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
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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
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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
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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
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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
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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