Papers

9

Total Citations

64

H-Index

5

About

Sagar Chaki is a leading researcher in formal verification, with a focus on ensuring the reliability of complex, real-time, and distributed software systems. His work spans state/event verification, statistical model checking, and the verification of periodic programs. Chaki made foundational contributions with his development of SE-Aω, a branching-time temporal logic that integrates state and event reasoning, enabling more expressive specifications for concurrent systems. His most cited paper, "State/Event Software Verification for Branching-Time Specifications" (2005, 25 citations), established a key framework in this area. He has also advanced the verification of periodic real-time programs, which are critical in robotics, medical devices, and radar systems, particularly through his work on priority inheritance locks and sequential consistency snapshots. Chaki introduced DMPL, a programming language for distributed mixed-synchrony, mixed-criticality software, and applied statistical model checking to adaptive real-time systems and coordinated multi-robot missions. His research has been published in top venues and is widely cited, reflecting its impact on both theoretical foundations and practical verification tools for safety-critical software.

Research Focus

Key Achievements

5
H-Index
9
Papers
64
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
State/Event Software Verification for Branching-Time Specifications
25 citations · 2005
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Software Engineering Institute, Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago