Xinfeng Shao | Control Theory | Best Researcher Award

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Mr. Xinfeng Shao | Control Theory | Best Researcher Award

Lecturer at Liaoning University of Technology, China

Ph.D. in Control Science and Engineering from Northeastern University (2023), Dr. Xinfeng Shao is a Lecturer & Master’s Supervisor at Liaoning University of Technology (LUT). His research focuses on adaptive intelligent control, cyber-physical system security, event-triggered control, and fault-tolerant control. He has led multiple national-level projects, including the National Youth Science Foundation Project, and contributed to 10+ papers in top journals, with two highly cited in IEEE Transactions on Fuzzy Systems. 📝 His technical skills include MATLAB/Simulink and Python, and he is an active member of the Chinese Association of Automation and IEEE. 🌐

Publication Profile

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🎓 Educational Background

Dr. Xinfeng Shao earned his Ph.D. in Control Science and Engineering from Northeastern University in 2023. His research is focused on adaptive intelligent control, cyber-physical system security, event-triggered control, and fault-tolerant control. These areas are critical for enhancing the reliability and security of modern automation systems, especially in the context of cyber-physical systems (CPS). His innovative work aims to develop intelligent control frameworks that ensure optimal performance even under uncertain and adversarial conditions. Dr. Shao’s expertise contributes significantly to the advancement of automation and security technologies.

🔬 Research Projects

Dr. Xinfeng Shao has been a Principal Investigator for several key research initiatives, including the National Youth Science Foundation Project (Category C), the Liaoning Provincial Education Department Youth Cultivation Project, and the LUT Doctoral Research Startup Fund. These projects reflect his leadership in advancing research in control systems and cybersecurity. Additionally, Dr. Shao is a Key Participant in two National Natural Science Foundation of China (NSFC) Projects and the prestigious Liaoning “Xing Liao Talent Program” Leading Talent Project. His involvement in these projects highlights his significant contribution to the scientific community.

📚 Research Achievements

Dr. Xinfeng Shao has authored over 10 papers in prestigious journals like IEEE Transactions, with 2 papers being ESI Top 1% Highly Cited. His research has introduced novel control frameworks for ensuring the security of multi-agent systems (MASs) and improving nonlinear fault tolerance. These groundbreaking contributions are recognized internationally for advancing the fields of adaptive control and cybersecurity. His work continues to shape the future of control systems and automation, making a significant impact in both theoretical and applied research.

🧠 Research Focus

Dr. Xinfeng Shao’s research is centered around adaptive intelligent control, cyber-physical system (CPS) security, fault-tolerant control, and event-triggered control. His work explores the resilience and security of multi-agent systems (MASs), focusing on attack-resistant control frameworks in the presence of malicious disturbances like FDI attacks and DoS attacks. Dr. Shao also investigates nonlinear systems and distributed control strategies, developing secure formation control and adaptive fuzzy control techniques. His contributions are instrumental in enhancing the robustness and security of automated systems, improving fault tolerance and performance under uncertain conditions

Conclusion

Mr. Xinfeng Shao is highly suitable for the Research for Best Researcher Award. His innovative research in intelligent and secure control systems, impressive publication record, project leadership, and recognized academic contributions present a strong case for this honor. He exemplifies the qualities of a top-tier researcher advancing critical technologies in automation and cyber-physical security.

📚 Publications Top Notes

  • “Dynamic‐Event‐Based Predefined‐Time Secure Formation Control for Nonlinear Multiagent Systems Against FDI Attacks” – International Journal of Robust and Nonlinear Control, 2025. DOI: 10.1002/rnc.8017 🔒

  • “Adaptive Fault-Tolerant Consensus Tracking Control of Stochastic High-Order MASs Under FDI Attacks” – IEEE Transactions on Fuzzy Systems, 2024. DOI: 10.1109/TFUZZ.2024.3352076 🔄

  • “Event-based distributed resilient control strategy for microgrids subject to disturbances and hybrid attacks” – Applied Mathematics and Computation, 2023. DOI: 10.1016/j.amc.2023.128273 🌍

  • “Robust adaptive dynamic memory‐event‐triggered attitude control for nonlinear multi‐UAVs resist actuator hysteresis” – International Journal of Robust and Nonlinear Control, 2023. DOI: 10.1002/rnc.6821 🚁

  • “Event-based adaptive fuzzy fixed-time control for nonlinear interconnected systems with non-affine nonlinear faults” – Fuzzy Sets and Systems, 2022. DOI: 10.1016/j.fss.2021.08.005 ⚙️

  • “Neural-network-based adaptive secure control for nonstrict-feedback nonlinear interconnected systems under DoS attacks” – Neurocomputing, 2021. DOI: 10.1016/j.neucom.2021.03.087 🧠

  • “Fuzzy Adaptive Event-Triggered Secure Control for Stochastic Nonlinear High-Order MASs Subject to DoS Attacks and Actuator Faults” – IEEE Transactions on Fuzzy Systems, 2020. DOI: 10.1109/tfuzz.2020.3028657 🛡️

  • “Adaptive Fuzzy Prescribed Performance Control of Non-Triangular Structure Nonlinear Systems” – IEEE Transactions on Fuzzy Systems, 2019. DOI: 10.1109/tfuzz.2019.2937046 🔧

  • “Adaptive Fuzzy Prescribed Performance Control for MIMO Stochastic Nonlinear Systems” – IEEE Access, 2018. DOI: 10.1109/ACCESS.2018.2882634 🔄

  • “Adaptive prescribed performance decentralized control for stochastic nonlinear large-scale systems” – International Journal of Adaptive Control and Signal Processing, 2018. 📊

Weimin Xu | Adaptive Control | Best Researcher Award

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Mr. Weimin Xu | Adaptive Control | Best Researcher Award

Associate Professor at Shanghai Maritime University, China

Dr. Weimin Xu is an associate professor at Shanghai Maritime University, China. He earned his Bachelor’s degree in Automation from Northeastern University, China, in 1989, followed by his Master’s and PhD in Control Science in 1992 and 1997, respectively. In 2013, he participated in a one-year research program at the University of Southern California, USA. Dr. Xu has published over 30 academic papers and holds more than 20 patents, making significant contributions to control systems and automation. His expertise includes nonlinear systems, adaptive control, and intelligent control.

Publication Profile

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Educational Background

Dr. Weimin Xu obtained his Bachelor’s degree in Automation from Northeastern University, China, in 1989. He further pursued his Master’s and PhD degrees in Control Science at the same institution, completing them in 1992 and 1997, respectively. His strong academic foundation laid the groundwork for his successful research career. In 2013, he also participated in a one-year visiting research program at the University of Southern California’s School of Engineering, enhancing his international experience.

Professional Background

Since 2009, Dr. Xu has served as an associate professor at Shanghai Maritime University, China, where he combines teaching with scientific research. He has vast experience in mentoring students, advancing research in automation and control, and making significant contributions to both academic knowledge and industry applications. Additionally, his research at the University of Southern California during his 2013 visiting program enriched his global perspective and furthered his expertise in control science.

Awards and Honors

Dr. Xu has been recognized for his outstanding academic contributions, having obtained more than 20 invention patents, reflecting his innovative research in automation and control systems. His papers have been widely cited, underscoring the impact of his work in the field. While specific awards aren’t detailed, his continuous contributions to the academic community through publications and patents make him a distinguished figure in his field.

Research Focus

Dr. Xu’s research spans several areas of control theory, including nonlinear system theory, adaptive control theory, sliding control, intelligent control, and bridge crane control. His work primarily focuses on improving control systems and automating complex processes, contributing significantly to industries relying on advanced engineering solutions. He has published over 30 papers and holds numerous patents, demonstrating the practical application and innovation within his research areas.

Publication Top Notes

Robust adaptive decoupled-like sliding mode controller design based on iterative learning for overhead cranes
Year: 2025 | 📅

Ultra-local model based prescribed performance adaptive control of overhead cranes under uncertainties
Year: 2024 | 📅

Finite-time model-free robust synchronous control of multi-lift overhead cranes based on iterative learning
Year: 2024 | 📅

Conclusion

Dr. Weimin Xu is a highly qualified candidate for the “Best Researcher Award” due to his extensive academic background and significant contributions to the fields of automation and control science. With a Bachelor’s, Master’s, and PhD in relevant disciplines, his research spans nonlinear systems, adaptive control, sliding control, and intelligent control, all of which have real-world industrial applications. He has published over 30 academic papers and holds more than 20 patents, demonstrating both academic excellence and practical innovation. Since 2009, as an associate professor at Shanghai Maritime University, Dr. Xu has also contributed to mentoring the next generation of engineers and researchers, further solidifying his eligibility for this prestigious award.

Daogen Jiang | Control engineering | Best Researcher Award

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Dr. Daogen Jiang | Control engineering | Best Researcher Award

Dr. Daogen Jiang,Ningbo city college of vacational technology, China

Jiang Daogen is a lecturer in automation with a Master of Engineering degree. He specializes in intelligent control technology, focusing on complex nonlinear system control, including sliding mode variable structure control and adaptive control. He has published over 20 core academic papers, including 8 indexed by SCI and EI. Jiang is the principal investigator of multiple research projects, including the Ningbo Natural Science Foundation and Zhejiang Provincial Department of Education initiatives. He actively mentors students in professional skill competitions, securing top awards. Additionally, he holds several patents and software copyrights related to control systems and automation. 🏆🔬

Publication Profile

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🎓 Education

Jiang Daogen earned his Master of Engineering degree, specializing in automation and intelligent control. His academic training provided a strong foundation in control systems, mechatronics, and adaptive technologies. His postgraduate research delved into complex nonlinear system control, focusing on sliding mode control, state-constrained nonlinear systems, and barrier Lyapunov function applications. Throughout his academic journey, he gained hands-on expertise in designing robust control algorithms for uncertain nonlinear systems. His education also emphasized industrial automation, electrical control, and embedded systems, preparing him for advanced research and teaching in automation. 📚🎓

💼 Experience

Jiang Daogen serves as a lecturer in automation, focusing on intelligent control technology and nonlinear system control. He teaches core courses, including Electrical Control and PLC, Variable Frequency Speed Regulation Technology, and Mechatronic Transmission Technology. Beyond academia, he has extensive experience guiding students in engineering competitions, leading teams to national and provincial awards. He has been the principal investigator in several high-impact research projects, including those funded by the Ningbo Natural Science Foundation. Additionally, Jiang has contributed significantly to industrial automation through his patents and software innovations in multi-axis motion control and robust adaptive control systems. 🏫⚙️

🏆 Awards & Honors

Jiang Daogen has received multiple recognitions, including the Ningbo Municipal Science and Technology Third Prize. His leadership in student competitions has earned him accolades, such as the Special Prize at the 13th Zhejiang “Challenge Cup” and the First Prize at the Zhejiang Rural Revitalization Plan College Student Competition. His research excellence has been acknowledged with funding from prestigious foundations, including the Zhejiang Provincial Department of Education. Additionally, his contributions to automation and control systems have led to several patents and software copyrights. His dedication to advancing engineering education and research continues to be recognized at institutional and governmental levels. 🏅🔬

🔬 Research Focus

Jiang Daogen’s research focuses on intelligent control technology, emphasizing complex nonlinear system control. His expertise spans sliding mode variable structure control, adaptive neural network control, and barrier function-based control strategies. He develops robust algorithms for uncertain nonlinear systems, applying them in automation, robotics, and mechatronic systems. His work also explores state-constrained control for real-world applications, enhancing system stability and performance. Jiang actively contributes to the advancement of adaptive and finite-time control techniques, with applications in precision machinery, multi-axis motion control, and industrial automation. His research outputs have been widely published in SCI and EI-indexed journals. ⚙️📡

 

Publication Top Notes

  • Adaptive Neural Network Terminal Sliding Mode Tracking Control for Uncertain Nonlinear Systems with Time-Varying State Constraints – Measurement and Control (2024-09-28) | DOI: 10.1177/00202940241279360 📝🔍

  • Nonsingular Fast Terminal Sliding Mode Control for Uncertain Nonlinear Systems Based on Adaptive Super-twisting Sliding Mode Disturbance Observer – International Journal of Control, Automation and Systems (2023-10) | DOI: 10.1007/s12555-022-0492-y 📊🔧

  • Adaptive Control for Full-States Constrained Nonlinear Systems with Unknown Control Direction Using Barrier Lyapunov Functionals – Transactions of the Institute of Measurement and Control (2022-11) | DOI: 10.1177/01423312221093826 📚💡

 

Hongchenyu Yang | Control science | Best Researcher Award

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Ms. Hongchenyu Yang | Control science | Best Researcher Award

Hongchenyu Yang  at Shanghai University

Short Bio:

Hongchenyu Yang is a PhD candidate at Shanghai University, specializing in Control Science and Engineering. With a strong academic background and a passion for cutting-edge research, he has made notable contributions to the fields of networked control systems and multi-agent systems. His research focuses on enhancing control theories and communication protocols, with a keen interest in tackling security challenges and improving system stability under time-delay and bandwidth constraints. Through his academic excellence and leadership, Hongchenyu has received several prestigious scholarships, grants, and honors.

Profile:

Educational Background:

Hongchenyu Yang is currently pursuing a PhD in Engineering at Shanghai University, with a major in Control Science and Engineering (Sept. 2020 – Jun. 2025). He has been involved in an exchange program at the National University of Singapore (Dec. 2022 – Jan. 2024). Before his PhD, he completed his Bachelor’s in Engineering from Shanghai University, specializing in Automation (Sept. 2016 – Jun. 2020), and participated in an exchange program at Queen’s University of Belfast (July – Aug. 2018).

Professional Experience:

Hongchenyu Yang is a dedicated PhD student at the School of Mechatronic Engineering and Automation, Shanghai University. His academic journey includes extensive research in networked control systems and multi-agent systems, with an emphasis on addressing challenges in communication protocols, security control, and system performance in complex environments. As a member of several professional organizations such as the Chinese Association of Automation and the China Simulation Federation, Hongchenyu actively engages in advancing the field of automation and control systems. He has contributed significantly to the research community as an active reviewer for leading international journals.

Research Interests:

Hongchenyu Yang’s research interests focus on Networked Control and Multi-Agent Systems, Semantic Communication, Control Theory, Sampled-Data Control, Security Control, Communication Protocols, Time-Delay Systems, and Event-Triggered Communication. His future research plans include Data-Driven Control, Robot-Human Interaction, Semantic Segmentation, Multi-Modal Perception and Communication, and Situation Awareness.

Author Metrics

Hongchenyu Yang has published several influential papers in high-impact journals. His key works include:

  1. Yang, H., Peng, C., Cao, Z., & Zhang, X.-M. (2025). “A novel semantic-based multi-packet parallel transmission scheme for networked control systems,” Automatica, 174, 112120.
  2. Yang, H., Peng, C., & Cao, Z. (2023). “Attack-model-independent stabilization of networked control systems under a jump-like TOD scheduling protocol,” Automatica, 152, 110982.
  3. Yang, H., Peng, C., & Cao, Z. (2023). “A novel memory-based scheduling protocol for networked control systems under stochastic attacks and bandwidth constraint,” IEEE/CAA Journal of Automatica Sinica, 10(5), 1336-1339.
  4. Wu, J., Peng, C., Yang, H., & Wang, Y.-L. (2022). “Recent advances in event-triggered security control of networked systems: A survey,” International Journal of Systems Science, 53(12), 2624-2643.
  5. Yang, H., Yang, T.-C., Peng, C., Tian, E., & Song, Y. (2024). “Matrix full rank, controllability and observability: Revisit basic concepts,” In 2024 43rd Chinese Control Conference (CCC).

Grants, Scholarships, and Honors:

Hongchenyu Yang has been awarded numerous scholarships and grants recognizing his academic excellence, including:

  • Grant for Joint PhD Programme, China Scholarship Council (2023)
  • Grant for Excellent Doctoral Dissertation Cultivation Programme, Shanghai University (Top 6)
  • National Scholarship, China (Top 3)
  • First Class Academic Scholarship, Shanghai University (Top 4)
  • Overseas Study Scholarship, Shanghai University
  • Leadership Scholarship, Shanghai University
  • Outstanding Graduate, Shanghai University (Top 9)
  • Outstanding Student, Shanghai University

Publication Top Noted:

  • Conference Paper
    Title: Matrix full rank, Controllability and Observability: Revisit Basic Concepts
    Authors: Yang, H., Yang, T.-C., Peng, C., Tian, E., Song, Y.
    Conference: Chinese Control Conference (CCC), 2024, pp. 1–4
    Citations: 0
  • Article
    Title: Attack-model-independent stabilization of networked control systems under a jump-like TOD scheduling protocol
    Authors: Yang, H., Peng, C., Cao, Z.
    Journal: Automatica, 2023, 152, 110982
    Citations: 26
  • Letter (Open Access)
    Title: A Novel Memory-Based Scheduling Protocol for Networked Control Systems Under Stochastic Attacks and Bandwidth Constraint
    Authors: Yang, H., Peng, C., Cao, Z.
    Journal: IEEE/CAA Journal of Automatica Sinica, 2023, 10(5), pp. 1336–1339
    Citations: 0
  • Article
    Title: Networked scheduling for decentralized load frequency control
    Authors: Peng, C., Yang, H.
    Journal: Intelligence and Robotics, 2022, 2(3), pp. 298–312
    Citations: 0
  • Review
    Title: Recent advances in event-triggered security control of networked systems: a survey
    Authors: Wu, J., Peng, C., Yang, H., Wang, Y.-L.
    Journal: International Journal of Systems Science, 2022, 53(12), pp. 2624–2643
    Citations: 46

Conclusion:

Hongchenyu Yang is a promising and highly skilled researcher in the field of control science. His academic achievements, innovative contributions to networked control systems, and active involvement in professional communities make him a deserving candidate for the Best Researcher Award. His research has the potential to shape the future of control systems, particularly in the areas of security and communication protocols, which are vital for modern technologies. With continued focus on enhancing the citation impact and broadening interdisciplinary collaborations, Yang is poised for even greater success in his academic and professional career.