Fei-Yue Wang

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About

Fei-Yue Wang is a pioneering figure in intelligent systems and control theory, best known for founding the field of parallel intelligence and advancing the concept of social computing. His groundbreaking work integrates artificial intelligence, complex systems, and cyber-physical-social systems (CPSS), with a focus on creating scalable, human-centered AI frameworks. Wang’s most influential contributions include the development of the ACP (Artificial societies, Computational experiments, Parallel execution) method, which revolutionizes how we model and manage complex systems through digital twins and simulation-based decision-making. With over 50,000 citations across his career, his research has profoundly shaped areas such as intelligent transportation, smart manufacturing, and autonomous driving. Notably, his seminal papers on parallel control and management have been widely adopted in both academia and industry, earning him the IEEE ITS Outstanding Research Award and the prestigious Norbert Wiener Award. Wang’s visionary work continues to inspire a new generation of researchers to explore the intersection of AI, control, and social systems, making him a central figure in the evolution of intelligent technology.