Veit B. Kleeberger
Papers
1
Total Citations
11
H-Index
1
About
Veit B. Kleeberger is a leading researcher in the field of dependable computing, with a primary focus on system-level reliability analysis and fault-tolerant design for emerging technologies. His most influential work, "Technology-aware system failure analysis in the presence of soft errors by Mixture Importance Sampling" (2013, 11 citations), introduces a groundbreaking fault injection methodology that dramatically improves the efficiency of failure rate prediction for embedded applications. By leveraging Mixture Importance Sampling, Kleeberger’s approach requires significantly fewer samples than traditional Monte Carlo methods, enabling accurate and scalable analysis of soft errors in complex systems. This contribution is critical for designing robust computing platforms in safety-critical domains such as automotive, aerospace, and industrial automation. Kleeberger’s research bridges the gap between technology-aware modeling and practical reliability assessment, offering engineers a powerful tool to mitigate transient faults without excessive computational overhead. His work has been widely cited and continues to influence the development of resilient architectures for next-generation embedded systems.
Research Focus
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Top Papers
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