Yongkai Eugene Yang

Massachusetts Institute of Technology

Papers

1

Total Citations

4

H-Index

1

About

Yongkai Eugene Yang is a researcher at the intersection of human factors engineering and model-based systems engineering, with a focus on improving how complex systems are analyzed and designed. His key research areas include task analysis methodologies, object-process methodology (OPM), and human-automation interaction. Yang’s major contribution is the development of OPM-TA, a model-based task analysis framework that leverages the OPM ISO 19450 standard as a more structured and integrated alternative to traditional human factors task analysis techniques. This work, published in 2021, has garnered early recognition with 4 citations, signaling its growing relevance in the field. By bridging the gap between systems engineering and human factors, Yang’s research offers practitioners a unified approach to modeling tasks, systems, and their interactions—potentially reducing errors and improving system safety. His notable achievement lies in challenging conventional task analysis methods, proposing a formal, model-based paradigm that aligns with modern engineering standards. For students and researchers exploring human-centered design or systems engineering, Yang’s work represents a forward-thinking effort to harmonize human factors with rigorous, model-driven engineering practices.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Object-Process Methodology as an Alternative to Human Factors Task Analysis
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Massachusetts Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago