Xinfeng Shao | Control Theory | Best Researcher Award

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

Orcid

🎓 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. 📊

Hongchenyu Yang | Control science | Best Researcher Award

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.