程龙教授在ACM权威会刊ACM Transactions on Autonomous and Adaptive Systems牵头主办专题期刊“Time-Critical Autonomous and Adaptive Systems”，聚焦于时间关键型自主与自适应系统的最新进展与应用，旨在基于最新的AI技术推动实时决策、动态自适应和可靠性保障领域的研究与应用。
Time-Critical Autonomous and Adaptive Systems
Time-critical autonomous and adaptive systems face significant challenges, particularly in real-time decisionmaking, adaptability, and the integration of AI, machine learning, and control techniques. These systems are
required to operate autonomously in complex, dynamic environments, where even minor delays or failures can
have catastrophic consequences. The need to address specific application requirements, manage diverse data
types, and optimize performance within strict time constraints necessitates customized solutions for each use case.
As industries in sectors such as transportation, healthcare, defense, and manufacturing become increasingly reliant
on these systems, the demand for solutions that seamlessly combine real-time processing with adaptive algorithms
continues to grow, ensuring effective operation in dynamic, fast-paced environments.
This special issue focuses on advancements in time-critical autonomous and adaptive systems. We invite highquality contributions that explore both theoretical and practical approaches to enabling autonomous decisionmaking and dynamic adaptation in time-critical environments.
Topics of interest include, but are not limited to:
- Real-Time Sensor Fusion and Perception in Time-critical Autonomous and Adaptive Systems
- Real-Time Decision-Making Algorithms for Time-critical Autonomous and Adaptive Systems
- Adaptive Control Systems for Time-Critical Applications
- AI/Agentic-AI and Machine Learning for Time-Critical Autonomy
- Software Architecture and Design of Time-critical Autonomous and Adaptive Systems
- Testing, Verification, Model checking and Assurance of Time-critical Autonomous and Adaptive Systems
- Safety, Security, Reliability and Performance in Time-Critical Autonomous Systems
- Uncertainty and Self-* for Handling Tradeoffs
- Distributed Trustworthy Autonomous Systems for Real-Time Operations
- Resilience and Fault Tolerance in Self-Adaptive and Autonomous Time-Critical Systems
- Case studies and applications of Time-Critical Autonomous Systems
- Mixed-initiative and human-in-the-loop/human-on-the-loop
- Digital Twins for Time-critical Autonomous and Adaptive Systems
- Human-centric considerations: Ethical and Legal Implications of Time-Critical Autonomous Systems
Guest editors:
Long Cheng, PhD
North China Electric Power University, Beijing, China
Xiaomin Chen, PhD
Reading University, UK
Zhiming Zhao, PhD
University of Amsterdam, The Netherlands
Cong Liu, PhD
Nova University of Lisbon, Portugal
Georgios Theodoropoulos, PhD
Southern University of Science and Technology, China
