معرفی
Professor Zbigniew Kalbarczyk is affiliated with the Illinois Advanced Research Center at Singapore (Illinois ARCS), part of the University of Illinois. His research focuses on designing and validating reliable and secure computing systems, with an emphasis on software middleware (ARMOR), operating system-level error recovery (Reliability Microkernel, RMK), hardware reliability support (Reliability and Security Engine, RSE), and formal verification frameworks (SymPLFIED). He holds a Ph.D. in Computer Science from the Bulgarian Academy of Sciences (1992), and two M.S. degrees in Electronic Engineering (Technical University of Sofia, 1984) and Mechanical Engineering (Technical University of Warsaw, 1981).
His research interests span fault injection techniques (NFTAPE), GPU resilience, autonomous system safety, and cybersecurity in industrial control systems. Recent work includes projects on hierarchical autoscaling for large language models (Chiron), power-aware DL serving (µ-Serve), and security testbeds for supercomputing infrastructure. He explores SLOs in resource-constrained environments and Kubernetes failure mitigation. His methodologies combine experimental validation with formal analysis to address both accidental errors and malicious attacks.
Key contributions include frameworks like ARMOR middleware, Reliability Microkernel, and Symbolic Program-Level Fault Injection (SymPLFIED). His articles highlight trends in resilient AI/HPC systems, energy-efficient computing, and secure embedded systems (e.g., ARM TrustZone for PLCs). Current work addresses challenges in smart grid cybersecurity, machine learning-driven malware detection, and safety-critical fault mitigation in autonomous vehicles.
No scientific awards are explicitly mentioned in the provided texts. Research grants and collaborations are inferred through project descriptions but not explicitly detailed. He is part of the Illinois ARCS team, collaborating on interdisciplinary projects involving hardware-software co-design and cybersecurity solutions for industrial and cloud systems.
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