Di Ma

University of Michigan–Dearborn

Papers

1

Total Citations

68

H-Index

1

About

Di Ma is a leading researcher in autonomous and cooperative automated driving systems, with a focus on the critical intersection of safety, risk assessment, and human-machine interaction. His most-cited work, "Risk Assessment for Cooperative Automated Driving" (2016, 68 citations), provides a foundational framework for evaluating the safety of connected and automated vehicles, addressing the profound shift in control and responsibility from human drivers to intelligent systems. Ma’s contributions are pivotal in defining how autonomous vehicles perceive, predict, and mitigate risks in complex, dynamic environments—a cornerstone for public trust and regulatory acceptance. His research has influenced both academic discourse and industry practices, particularly in cooperative driving scenarios where vehicles communicate and coordinate. By systematically analyzing the challenges of transferring control to automation, Ma has helped shape the safety protocols that underpin next-generation mobility. With a growing citation impact and a reputation for rigorous, forward-thinking analysis, Di Ma continues to drive progress toward safer, more reliable autonomous transportation.

Research Focus

Key Achievements

1
H-Index
1
Papers
68
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Risk Assessment for Cooperative Automated Driving
68 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Michigan–Dearborn

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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