Junxiang Deng
Papers
1
Total Citations
26
H-Index
1
About
Dr. Junxiang Deng is a leading researcher in the modeling and control of complex cyber–physical systems (CPS), with a particular focus on systems that integrate discrete events, continuous processes, stochastic phenomena, and time-delay dynamics. His most cited work, "Modeling and Decision-Making Methods for a Class of Cyber–Physical Systems Based on Modified Hybrid Stochastic Timed Petri Net" (2020, 26 citations), introduces a novel hybrid modeling framework that captures the intricate, multi-dimensional behavior of CPS. By extending traditional Petri nets to incorporate stochastic timing and hybrid dynamics, Dr. Deng provides a powerful tool for analyzing system reliability, performance, and decision-making under uncertainty. This contribution is critical for applications in smart grids, autonomous vehicles, and industrial automation, where precise modeling of time-dependent and probabilistic events is essential. His work bridges theoretical advances in formal methods with practical engineering challenges, offering actionable insights for system design and optimization. Dr. Deng’s research continues to shape the development of resilient, intelligent CPS, making him a key figure in the field of hybrid systems and stochastic control.
Research Focus
Key Achievements
Top Papers
- 1