Mr. Cai Xuan | Engineering and Technology | Research Excellence Award

Beihang University | China

Cai Xuan is a doctoral researcher in transportation engineering with a strong background in mechanical engineering and a research focus on autonomous driving safety, intelligent testing, and AI-driven decision making. He is currently pursuing a PhD at Beihang University after completing his master’s and bachelor’s degrees in Mechanical Engineering at Hunan University. His research experience spans adversarial reinforcement learning, large language model–based scenario generation, energy management for hybrid vehicles, and safety-critical testing frameworks for autonomous vehicles. He has served as lead or co-author on multiple peer-reviewed publications in high-impact journals and top-tier conferences, including IEEE Transactions on Intelligent Vehicles, Energy, Automotive Innovation, and IEEE Intelligent Vehicles Symposium. His scholarly output has resulted in 7 published papers, an h-index of 3, and over 16citations, reflecting growing academic influence in intelligent transportation systems. His work has demonstrated significant improvements in robustness, vulnerability discovery, and real-time performance of autonomous and electrified vehicle systems. He is the recipient of multiple academic scholarships and competitive research awards at both undergraduate and graduate levels. Overall, his research contributes practical and theoretical advances toward safer, more reliable, and intelligent mobility systems.

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