Prof. Changyi XU , Associate professor , Dalian University of Technology, China.
Dr. Changyi Xu is a dedicated Associate Researcher at the School of Control Science and Engineering, Dalian University of Technology, China . With a strong foundation in automation and physics, Dr. Xu brings extensive expertise in digital twins, fault diagnosis, and model-based system engineering (MBSE). His interdisciplinary approach integrates control science, embedded intelligence, and system modeling to address real-world engineering problems in aerospace and automation. He actively contributes to high-impact journals and international conferences while leading innovative research funded by national and provincial agencies.
Professional Profile
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🎓 Education Background
Dr. Xu obtained his Ph.D. in Automation from the Institut National des Sciences Appliquées de Lyon, France in December 2020. Earlier, he earned his Master’s degree in Condensed Matter Physics from the University of Chinese Academy of Sciences in January 2016. His academic journey began with a Bachelor’s degree in Electronic Information Science and Technology from Jilin University in September 2012.
🧑🏫 Professional Experience
Since July 2021, Dr. Xu has been serving as an Associate Researcher at Dalian University of Technology, School of Control Science and Engineering. He has led and contributed to multiple government and industry-sponsored projects, including collaborations with the Ministry of Science and Technology, Liaoning Province, Beijing Institute of Control, and private sector firms. His work spans engine control systems, aerospace modeling, and smart platform development.
🏆 Awards and Honors
Dr. Xu has earned several prestigious accolades, including a national first prize and provincial special prize in the 18th “Challenge Cup” Innovation Competition, and a Gold and National Bronze Award at the Internet Innovation Competition for graduate students. He also received the Third Prize in the “Course Ideology and Politics” Teaching Competition at Dalian University of Technology, showcasing his commitment to both research and teaching excellence.
🔬 Research Focus
His core research interests include fault diagnosis of complex control systems, digital twin technologies, and Model-Based System Engineering (MBSE). Dr. Xu actively publishes in top-tier journals and contributes to major conferences, working on topics such as adaptive control, perovskite-based devices, drag-free satellite thrust control, and reinforcement learning in speed control systems. He also serves as a committee member in the Embodied Intelligence Committee of the Chinese Association of Automation.
🧩 Conclusion
Dr. Changyi Xu exemplifies interdisciplinary innovation in the field of control engineering. His advanced research in automation and digital modeling bridges theoretical advancements with real-world applications. Through international education, impactful publications, and consistent academic recognition, he continues to lead groundbreaking efforts in smart system control and intelligent engineering design.
📚 Publication Top Notes
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Adaptive Anti-Disturbance Bumpless Transfer Control for Switched Neural Network Systems – IEEE Transactions on Circuits and Systems I, 2024
Cited by: 5 articles
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Micro-Newton scale variable thrust control technique and its noise problem for drag-free satellite platforms: a review – Journal of Zhejiang University – Science A, 2024
Cited by: 7 articles
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A Novel Fused NARX-Driven Digital Twin Model for Aeroengine Gas Path Parameter Prediction – IEEE Transactions on Industrial Informatics, 2024
Cited by: 3 articles
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Domain Adversarial Enhanced Multi-Channel Graph Networks for Aeroengine Gas Path Fault Diagnosis – IECON Proceedings, 2024
Cited by: 2 articles
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Set-Membership State Estimation for 2-D Roesser Systems Based on Zonotope Radius and Its Application – IEEE Transactions on Circuits and Systems II, 2024
Cited by: 4 articles
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Vacuum-Deposited Perovskite LED by Interface Defect Passivation With Better Color Stability – IEEE Photonics Technology Letters, 2024
Cited by: 3 articles
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Control of perovskites crystallization via polymer scaffold towards pure blue Light-emitting diodes – Materials Letters, 2022
Cited by: 9 articles