Peter Popov

Papers

Total Citations

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About

Peter Popov is a leading researcher in dependable and real-time distributed systems, with a primary focus on the safety assessment of autonomous systems and high-performance middleware. His work bridges critical gaps in both theoretical safety modeling and practical communication infrastructure. A key contribution is the development of **Dynamic safety assessment of Autonomous Vehicle based on Multivariate Bayesian Inference (DyAVSA)**, a novel framework that treats the probability of catastrophic failure per mile as a dynamic random variable, accounting for changing road conditions—a significant advance over static safety models. In parallel, his research on **Exploring the Effects of Multicast Communication on DDS Performance** provides essential insights into the Data Distribution Service (DDS) standard, a cornerstone middleware for mission-critical and safety-critical systems like air traffic control. By analyzing multicast protocols, his work directly informs the design of more efficient and reliable real-time networks. With over 7 citations across these foundational studies, Popov’s research is shaping how engineers build and verify the next generation of autonomous vehicles and high-stakes distributed systems.