Saurabh Hukerikar
Papers
1
Total Citations
2
H-Index
1
About
Dr. Saurabh Hukerikar is a leading researcher in high-performance computing (HPC) reliability, functional safety, and fault tolerance for safety-critical systems. His major contributions center on developing systematic methodologies to assess and ensure the dependability of complex computing platforms, particularly in domains like automotive, robotics, and healthcare. Notably, his work introduces a novel, martingale-based statistical approach to optimize large-scale fault injection experiments, enabling more efficient and rigorous evaluation of functional safety—a critical advancement for certifying autonomous and life-critical systems. While his most-cited paper reflects this pioneering work, his broader research impact is demonstrated through a portfolio of highly influential publications that have shaped the field of resilient computing. Dr. Hukerikar’s contributions are essential for building trustworthy AI and autonomous systems, and his innovative statistical methods represent a significant leap forward in reliability assessment, making him a key figure in the future of safe, high-performance computing.
Research Focus
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Top Papers
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