Prof. Yue Wei | Control Science – Professor at Dalian Maritime University, China
Dr. Wei Yue is an accomplished scholar and IEEE member, recognized for his innovative contributions to control theory, intelligent unmanned systems, and cyber-physical security. With extensive academic experience and over 40 refereed journal publications, his research spans cutting-edge areas such as multi-agent coordination, UAV swarm intelligence, cyber-attack resilience, and intelligent vehicle systems. Dr. Yue’s work plays a pivotal role in enhancing autonomous system reliability in challenging and uncertain environments. His leadership in high-impact research and sustained academic output makes him a strong candidate for the Best Researcher Award.
Academic Profile
ORCID | SCOPUS
Education
Dr. Yue completed his entire academic training at one of China’s premier maritime universities, specializing in control theory and control engineering. He earned his Bachelor’s degree in 2006, Master’s in 2008, and Ph.D. in 2011, consistently maintaining a strong academic record. His doctoral dissertation focused on the modeling and control of autonomous platoons—laying the foundation for his lifelong engagement with intelligent transportation and autonomous systems.
Professional Experience
With over 15 years of academic and research service, Dr. Yue has steadily progressed through various academic ranks. He began his career as a postdoctoral researcher in control science and engineering, followed by a tenure as Associate Professor from 2017 to 2024, and currently holds the title of Professor of Marine Electrical Engineering. In parallel, he has served as a conference organizer, peer reviewer for leading IEEE journals, and principal investigator for numerous government and military-funded research initiatives.
Research Interests
Dr. Yue’s research interests lie at the intersection of autonomous control systems, UAV and AUV cooperative algorithms, multi-agent swarm intelligence, and cyber-attack resilient control architectures. His work addresses real-world challenges in maritime search operations, intelligent vehicle networks, and path planning under communication constraints. He has introduced hybrid models that integrate neural networks, sliding mode control, reinforcement learning, and swarm optimization — enabling intelligent system coordination even under severe environmental or cyber constraints.
Awards and Recognitions
Dr. Yue has been recognized through several competitive national and regional research grants totaling over 5 million yuan as Principal Investigator. These include projects from the Military Science and Technology Committee, National Natural Science Foundation, and Ministry of Education. His leadership in securing these funds underscores the strategic importance and innovation potential of his work in unmanned intelligent systems. In addition to funding, his long-term peer review and editorial contributions to IEEE Transactions, Ocean Engineering, and Mechanical Systems and Signal Processing reflect his standing in the global research community.
Selected Publications
📘 Neural Network Learning Predictive Cooperative Control for Uncertain Heterogeneous Marine Vehicles (2025, IEEE Transactions on Intelligent Transportation Systems) — This high-impact paper has been cited for its novel predictive model handling poor communication in autonomous marine operations
📘 Hawk-Rabbit Game Architecture for UAV Swarm Multi-Target Defense (2025, Aerospace Science and Technology) — Introduces a game-theory approach to UAV swarm defense strategies, widely cited in AI-based security research.
📘 Cooperative Relative Localization for AAV Swarms Under GPS Attacks (2025, IEEE Systems Journal) — Recognized for advancing localization accuracy in GPS-denied environments.
📘 Distributed Cooperative Task Allocation for UAV Swarms Under Constraints (2025, Computer Communications) — A foundational article on resource-efficient drone swarm deployment.
📘 Sampled-Data Internet of Connected Vehicles Control with Channel Fading and Delay (2020, Mechanical Systems and Signal Processing) — Pioneered techniques for networked vehicle control under unstable channels.
📘 Event-triggered Platoon Control of Vehicles with Delay and Probabilistic Faults (2017, Mechanical Systems and Signal Processing) — Frequently cited in intelligent vehicle fault-tolerant control research.
📘 Elite Dung Beetle Optimization Algorithm for UAV Search (2024, Journal of Bionic Engineering) — Combines bio-inspired computing with aerial search, contributing to a new wave of optimization algorithms
Conclusion
Dr. Wei Yue exemplifies the qualities of an outstanding researcher: intellectual curiosity, scientific rigor, and a strong commitment to real-world impact. His interdisciplinary reach across control systems, AI, and intelligent transportation, combined with his track record of high-quality publications and successful project leadership, clearly positions him as a top contender for the Best Researcher Award. His future-forward vision continues to inspire solutions for autonomous systems operating in uncertain and complex environments. As such, this nomination strongly endorses his candidacy and celebrates his contributions to science, technology, and society.