Papers

9

Total Citations

228

H-Index

5

About

I-Ling Yen is a leading researcher in dependable distributed systems, fault-tolerant computing, and autonomous robotic swarms. Her work bridges foundational theory and practical engineering, with a focus on ensuring reliability in dynamic, mission-critical environments. Her most cited paper, "Empirical Assessment of Machine Learning based Software Defect Prediction Techniques" (2006, 153 citations), addresses the critical need for dynamic dependability in real-time systems like telepresence and mission planning. Yen’s early foundational work, "A class of inherently fault tolerant distributed programs" (1988, 35 citations), introduced decentralized control concepts inspired by Dijkstra, influencing industrial process-control systems. She has made significant contributions to robotic swarm systems, proposing frameworks for resilience in unknown, hostile environments (2011) and service-oriented architectures for easy composition of swarm tasks (2012). Her work on parallel mapping of Lee's maze routing algorithm (2002) has applications beyond VLSI to robot path planning. Yen’s research consistently emphasizes robust coordination, self-stabilization, and availability analysis, making her a key figure in advancing dependable multi-robot and distributed systems.

Research Focus

Key Achievements

5
H-Index
9
Papers
228
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Empirical Assessment of Machine Learning based Software Defect Prediction Techniques
153 citations · 2006
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Houston, Michigan State University, The University of Texas at Dallas, University of Dallas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago