Ulf Schlichtmann
Papers
3
Total Citations
16
H-Index
2
About
Ulf Schlichtmann is a leading figure in electronic design automation and dependable computing, with a research focus on ensuring the reliability of embedded systems against soft errors. His major contributions lie in developing advanced fault injection and simulation methodologies that predict system failure rates with unprecedented efficiency. Notably, his 2013 work on "Technology-aware system failure analysis in the presence of soft errors by Mixture Importance Sampling" (11 citations) revolutionized failure prediction by requiring far fewer samples than standard Monte Carlo methods, making reliability analysis practical for complex designs. Schlichtmann also advanced virtual prototyping for real-time systems, as demonstrated in his 2013 study on a two-wheeled robot (3 citations), which integrated realistic hardware and software simulation. His 2020 investigation into the inherent soft error resilience of embedded applications (2 citations) revealed that certain applications, like multimedia processing, can tolerate errors without human-perceptible impact. Through these contributions, Schlichtmann has established himself as a key innovator in creating more robust and efficient computing systems, bridging the gap between theoretical reliability analysis and practical embedded system design.
Research Focus
Key Achievements
Top Papers
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