Yuvaraj Selvaraj
Papers
1
Total Citations
3
H-Index
1
About
Yuvaraj Selvaraj is a researcher advancing the safety and reliability of collaborative automation systems, with a focus on formal methods for hazard analysis. His key research areas include safety-critical systems, supervisory control, and simulation-based verification. Selvaraj’s major contribution is a two-layer approach to hazard analysis that integrates supervisory control theory with simulation, enabling systematic identification and analysis of hazardous states in collaborative automation. This work addresses a critical gap in traditional hazard analysis, which relies heavily on human reasoning and simple tools like checklists. His 2023 paper, “Hazard Analysis of Collaborative Automation Systems: A Two-layer Approach based on Supervisory Control and Simulation,” has garnered 3 citations, reflecting its emerging impact in the field. Selvaraj’s approach offers a more rigorous, automated methodology for ensuring safety in human-robot collaboration and other complex automated environments. His research is particularly relevant for industries adopting collaborative robots, where preventing hazardous interactions is paramount. By bridging formal methods and practical simulation, Selvaraj is helping to set new standards for safety engineering in next-generation automation systems.
Research Focus
Key Achievements
Top Papers
- 1