Xiyun Li

Institute of Automation

Papers

1

Total Citations

7

H-Index

1

About

Xiyun Li is a forward-thinking researcher at the intersection of artificial intelligence and engineering education, with a particular focus on autonomous systems. Their most influential work, "Artificial Intelligence in Engineering Education in the Case of Self-driving Vehicle Curriculum" (2022, 7 citations), pioneers the integration of AI into hands-on, multidisciplinary curricula. By developing a self-driving vehicle (SDV) curriculum, Li bridges the gap between cutting-edge industry demands and academic training, offering students a practical pathway to understand complex AI concepts. This contribution is especially significant as it addresses the critical need for workforce-ready graduates in the rapidly evolving field of autonomous transportation. Li’s work not only advances pedagogical methods but also provides a replicable model for teaching AI through real-world applications. Their research underscores the importance of experiential learning in engineering, making them a key figure in shaping how future engineers are trained to tackle the challenges of intelligent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in Engineering Education in the Case of Self-driving Vehicle Curriculum
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Institute of Automation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago