Prof. Long Cheng Organizes Special Issue in ACM TAAS

Prof. Long Cheng is organizing a special issue titled "Time-Critical Autonomous and Adaptive Systems" in ACM Transactions on Autonomous and Adaptive Systems.

The special issue focuses on recent advances in time-critical autonomous and adaptive systems, including real-time decision-making, dynamic adaptation, reliability assurance, AI-enabled autonomy, verification, safety, and human-in-the-loop systems. It aims to advance research and applications that combine real-time processing with adaptive algorithms in complex and fast-changing environments.

Contributions are invited on topics including real-time sensor fusion and perception, real-time decision-making algorithms, adaptive control, AI and machine learning for time-critical autonomy, software architecture, testing and assurance, safety and reliability, distributed trustworthy autonomous systems, resilience, and digital twins.