CPS Tool Competition

CPS tool competitions evaluate the performance of algorithms and systems designed to manage and analyze complex cyber-physical systems. Current research focuses on areas like battery health prognostics, leveraging deep learning models for accurate remaining useful life prediction, and enhancing security in digital twin implementations. These competitions drive advancements in crucial areas such as healthcare (e.g., optimizing clinical pathways) and autonomous systems (e.g., self-driving car AI testing), ultimately improving the reliability, safety, and efficiency of CPS applications.