Zhenjun Ming
Papers
2
Total Citations
5
H-Index
2
About
Zhenjun Ming is a researcher at the forefront of complex systems engineering, specializing in the design of Cyber-Physical-Social Systems (CPSS) and self-organizing multi-agent systems. His work bridges the gap between theoretical frameworks and practical implementation, particularly in how autonomous systems can adapt and evolve through decentralized intelligence. In his highly cited 2022 paper, Ming introduced a novel design framework for evolving CPSS based on force field theory, offering a structured approach to managing the dynamic interactions between physical, cyber, and social components. This work has garnered significant attention for its potential to enhance system efficiency, adaptability, and robustness. More recently, in 2024, Ming advanced the field by integrating multi-agent reinforcement learning with the compromise Decision Support Problem construct to design self-organizing multi-robot systems, enabling swarms to exhibit desired emergent behaviors while maintaining designer-specified performance criteria. His contributions are particularly impactful for applications in swarm robotics, smart infrastructure, and autonomous coordination. With a growing citation record and a clear trajectory toward practical, scalable solutions, Ming is establishing himself as a key innovator in the next generation of intelligent, self-organizing engineered systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2