Lecturer | Northwest A&F University | China
Wenliang Wu is a Lecturer at the College of Information Engineering, Northwest A&F University, China. With an academic background in Computer Science and Technology, Wu completed a Ph.D. from Northwestern Polytechnical University in 2022. His research interests primarily focus on unmanned swarm systems, collective intelligence, and evaluation methods for autonomous systems. Wu’s academic journey includes a Master’s degree from Inner Mongolia University and a Bachelor’s degree from Inner Mongolia University of Technology. His current role involves both teaching and leading research in the area of intelligent evaluation of unmanned systems.
Profile
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Education
Wenliang Wu’s educational trajectory is rooted in Computer Science and Technology. He began his academic pursuit at Inner Mongolia University of Technology, where he earned his Bachelor’s degree in 2014. Continuing his studies, Wu obtained a Master’s degree in the same field from Inner Mongolia University in 2017. His dedication to the field culminated in a Ph.D. from Northwestern Polytechnical University, which he completed in December 2022. During his Ph.D., Wu specialized in the development of intelligent evaluation models for unmanned swarm systems.
Experience
Dr. Wu’s academic career has progressed steadily, marked by significant research contributions. Since February 2023, he has been a Lecturer at the College of Information Engineering, Northwest A&F University. His primary responsibilities include conducting cutting-edge research on unmanned systems and delivering lectures on related topics. Wu’s research in this field is aimed at improving the intelligence and operational efficiency of autonomous systems, particularly in unmanned swarm technologies. His academic experience is complemented by his leadership role in several research projects, where he has pioneered work on swarm system evaluations and intelligence assessment methodologies.
Research Interests
Dr. Wu’s research interests lie at the intersection of artificial intelligence, autonomous systems, and swarm intelligence. Specifically, he focuses on the development of comprehensive evaluation systems for unmanned swarm intelligence. Wu’s work is largely concerned with methods to assess the collective intelligence of unmanned systems, a crucial element for their successful operation in complex environments. He has been involved in creating models based on the OODA (Observe, Orient, Decide, Act) loop, group extension cloud models, and CRITIC-based evaluation methods. His goal is to develop robust systems that allow for more accurate and reliable performance evaluations for unmanned swarm systems.
Award
Though Wu has not yet received formal academic awards, his work has significantly contributed to the field of unmanned swarm intelligence. His publications in top-tier journals, such as Connection Science and Automation Acta, highlight the recognition of his research within the academic community. Furthermore, his leadership in research projects, including those at the doctoral research stage, demonstrates his growing influence in the field of intelligent systems and swarm technologies.
Publication Top Note
Wu, W., Zhou, X., & Shen, B. (2022). Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model. Connection Science, 34(1), 630-651. (Cited by 15 articles).
Shen, B., Wu, W., Yang, G., & Zhou, X. (2023). Intelligent evaluation model and method for unmanned swarm systems based on group OODA. Acta Aeronautica et Astronautica Sinica, 44(14), 328003-1-328003-15. (Cited by 10 articles).
Wu, W., Zhou, X., Shen, B., & Zhao, Y. (2022). Review of evaluation research for swarm robot systems. Acta Automatica Sinica, 48(5), 1153-1172. (Cited by 20 articles).
Wu, W., Wang, C., Tuo, M., & Zhou, X. (2022). An accurate and robust comparison method of intelligence for unmanned swarms based on improved CRITIC and hypothesis test. Proceedings of the 2022 International Conference on Autonomous Unmanned Systems, Xi’an, China. (Cited by 7 articles).
Wu, W., & Zhou, X. (2020). An intelligent evaluation method for the application scenario complexity level of unmanned swarms. Proceedings of the 19th International Conference on Ubiquitous Computing and Communication, Exeter, UK. (Cited by 5 articles).
Conclusion
Dr. Wenliang Wu has made remarkable strides in the field of unmanned swarm systems, with a particular focus on the evaluation and improvement of their intelligence. With a solid educational background and a growing body of influential work, he is emerging as a key figure in the realm of autonomous systems. His research, especially his work on intelligent evaluation models, contributes to the development of smarter and more reliable unmanned technologies. As he continues to push the boundaries of swarm intelligence and autonomous system evaluations, Wu’s work holds the promise of transforming how unmanned systems are deployed and assessed in real-world scenarios.