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About

Quan Kong is a leading researcher in computer vision and artificial intelligence, with a focus on real-world applications in intelligent transportation, industrial automation, and public safety. His most notable contribution is his leadership in organizing the prestigious AI City Challenge, now in its ninth edition. The 2025 challenge, which has garnered 16 citations, continues to push the boundaries of AI in urban environments, featuring four specialized tracks that address critical problems in traffic management, infrastructure monitoring, and security. Under Kong’s guidance, the challenge has seen remarkable growth—a 17% increase in participation, with 245 teams from 15 countries registered on the evaluation platform. This achievement underscores his role in fostering a global community of researchers dedicated to deploying AI in complex, real-world settings. Kong’s work bridges the gap between theoretical advances and practical deployment, making him a key figure in applied computer vision. His efforts not only drive innovation but also provide a benchmark for the field, inspiring new solutions to pressing societal challenges.