Arpan Gujarati

Max Planck Institute for Software Systems, University of British Columbia Hospital

Papers

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About

Arpan Gujarati is a leading researcher in the dependability and security of real-time cyber-physical systems (CPS), with a particular focus on the intersection of timing guarantees and safety. His most cited work, "When Is CAN the Weakest Link?" (2015), makes a foundational contribution by introducing a rigorous method to bound the Failures In Time (FIT) rate for Controller Area Network (CAN)-based real-time systems. This analysis, which calculates the expected number of failures per billion operating hours, provides engineers with a critical tool for quantifying and ensuring system reliability in safety-critical applications like automotive and industrial control. More recently, Gujarati has extended his expertise into the security of Industry 4.0 systems. His 2022 paper, "Arming IDS Researchers with a Robotic Arm Dataset," addresses the growing threat of cyber-attacks on smart manufacturing by providing a benchmark dataset for intrusion detection systems (IDS) in robotic arm environments. This work is vital for developing defenses against network-based attacks that could compromise physical production processes. With a career spanning from fundamental reliability analysis to applied security for modern industrial automation, Gujarati’s research is instrumental in building safer and more secure CPS.