Wenchao Yang | Autonomous Systems | Editorial Board Member

Published on by Sciencefather

Mr. Wenchao Yang | Autonomous Systems | Editorial Board Member

Mr. Wenchao Yang | Autonomous Systems | Zhengzhou University of light industry | China

Mr. Wenchao Yang is a seasoned engineer-researcher whose academic journey encompasses a Ph.D. from a prominent Chinese university, where he cultivated his expertise in real-time scheduling, production-logistics collaboration, and industrial informatics. He has held research and teaching positions at leading institutions, contributing both to theoretical foundations and practical deployments in smart manufacturing labs and edge-computing environments. His professional experience spans leading international research projects in digital twin systems, human–machine collaboration, and adaptive scheduling across factories, integrating interdisciplinary teams from automation, AI, and operations research. Mr. Yang’s research interests center on digital twin–enabled scheduling, human-in-the-loop manufacturing, edge-computing for industry, and adaptive real-time decision-making. He is highly skilled in modeling and optimization, information-theoretic scheduling, machine learning for resource management, edge systems, and swarm coordination. His work has earned recognition in the form of peer-reviewed journal awards and invitations to collaborate internationally, reflecting both his academic impact and industrial relevance. Among his honors, he has been acknowledged in high-impact IEEE and MDPI venues, and he is an active member of professional societies such as the IEEE. In conclusion, Wenchao Yang combines deep theoretical understanding with practical engineering insight, and his ongoing contributions to digital-twin systems and adaptive scheduling stand to shape the future of intelligent, human-centric industrial systems.

Academic Profile: ORCID 

Featured Publications:

  1. Yang, Wenchao, Li, S., Luo, G., Li, H., & Wen, X. (2025). A Real-Time Human–Machine–Logistics Collaborative Scheduling Method Considering Workers’ Learning and Forgetting Effects. Applied System Innovation, 8(2), 40.

  2. Yang, Wenchao, Li, W., Cao, Y., Luo, Y., & He, L. (2020). An Information Theory Inspired Real-Time Self-Adaptive Scheduling for Production-Logistics Resources: Framework, Principle, and Implementation. Sensors, 20(24), 7007.

  3. Yang, Wenchao, Li, W., Cao, Y., Luo, Y., & He, L. (2020). Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory. Sensors, 20(16), 4507.

  4. Luo, G., Li, S., Yang, Wenchao, Zhang, B., Tian, Y., & Wen, X. (2025). Swarm-Consensus-Based Human-Machine-Logistics Collaborative Scheduling Method. In Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 2496–2501.