Professional Summary
I am a doctoral fellow at the ETH AI Center, supervised by Prof. Dr. Melanie Zeilinger and Prof. Dr. Marc Pollefeys. I am working on control theory, computer vision, and machine learning to enable safe and reliable autonomous systems.
Education
PhD (System control and computer vision focus)
ETH Zurich
MS Electrical Engineering (Machine learning and signal processing focus)
ETH Zurich
BS Electrical Engineering and Computing
School of Electrical Engineering, University of Belgrade
Interests
Safe perception-aware control
Certifiable perception
Interpretability of sequence models
Intelligent autonomous systems and robotics
📚 My Research
My research lies at the intersection of control theory, computer vision, and machine learning, with the goal of enabling safe and reliable autonomous systems. I develop perception-based control methods and explore how principles from control can inform and improve learning-based approaches, making them more interpretable and robust. As a doctoral fellow at the ETH AI Center, I work on advancing the foundations of autonomy to bridge theory and practice in intelligent systems.
Recent Publications
(2025).
Uncertainty-Aware Perception-Based Control for Autonomous Racing.
Submitted to IEEE Transactions on Control System Technology.
(2025).
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds.
In IEEE European Control Conference 2025.