Ana Petrovska
Papers
2
Total Citations
20
H-Index
2
About
Dr. Ana Petrovska is a leading voice in the engineering of trustworthy autonomous systems, with a focus on run-time reasoning and self-adaptation. Her research lies at the critical intersection of cyber-physical systems (CPS), multi-agent coordination, and uncertainty management. Dr. Petrovska’s most influential work, “Towards a Taxonomy of Autonomous Systems” (2021, 11 citations), provides a foundational framework for classifying and comparing autonomous architectures, a vital resource for the field. Her seminal paper on “Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive CPS” (2021, 9 citations) tackles a core challenge in modern robotics and autonomous driving: how decentralized systems like drones and self-driving cars can make reliable decisions despite noisy, incomplete sensor data. By integrating subjective logic into self-adaptive loops, she has pioneered methods for agents to reason about uncertainty and maintain safe operation in dynamic environments. Dr. Petrovska’s work is essential for researchers building resilient, real-world autonomous systems that must function dependably under constant uncertainty.
Research Focus
Key Achievements
Top Papers
- 1Towards a Taxonomy of Autonomous Systems11 citations · 2021
- 2