Xiongwei Lin

Chinese University of Hong Kong, Shenzhen

Papers

1

Total Citations

14

H-Index

1

About

Xiongwei Lin is a forward-thinking researcher at the intersection of artificial intelligence, marine robotics, and interdisciplinary education. His work centers on developing innovative, project-based learning (PBL) frameworks that integrate AI with real-world marine applications, exemplified by his use of a robotic sailboat platform to teach complex AI concepts to high school students. His most cited study, “Applying project‐based learning in artificial intelligence and marine discipline” (2022, 14 citations), demonstrates how hands-on, cross-disciplinary projects can bridge the gap between cutting-edge AI and marine science, fostering critical thinking and practical skills in young learners. Lin’s contributions are particularly notable for addressing the lag in interdisciplinary educational activities, offering a replicable model that combines robotics, environmental monitoring, and AI literacy. By designing accessible, engaging curricula around tangible platforms like autonomous sailboats, he is shaping the next generation of engineers and scientists. His work not only advances pedagogical methods but also highlights the potential of marine robotics as a tool for both education and research, earning him recognition as a key figure in AI-driven STEM outreach.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Applying project‐based learning in artificial intelligence and marine discipline: An evaluation study on a robotic sailboat platform
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chinese University of Hong Kong, Shenzhen

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago