Filip Markovic

Filip Markovic is an Assistant Professor at the Max Planck Institute for Software Systems (MPI-SWS), focusing on real-time systems, algorithms, and verification. His research spans cyber-physical systems, distributed/networked systems, security, and privacy. He contributes to advancing probabilistic analysis techniques for real-time applications, with a particular emphasis on deadline miss probability estimation and system resilience under transient overload.

His work integrates formal methods, stochastic modeling, and Bayesian techniques to address challenges in resource allocation, task scheduling, and system reliability. Notable contributions include frameworks like LiME for real-time task modeling in Linux and methodologies to handle task correlations and Markov chain dynamics.

Publications highlight advancements in deadline-bound analysis, Markov chain modeling, and adaptive runtime estimation. His research often bridges theoretical foundations with practical implementations, such as improving cache-aware response time analysis and developing correlation-tolerant scheduling algorithms.

No awards or grants are explicitly listed in the provided text. His academic focus aligns closely with MPI-SWS’s mission in software systems research, contributing to both theoretical insights and applied solutions in real-time computing domains.