I am an AI Engineer at RIVR, an Amazon company. I received my PhD from TU Wien, where I worked in the Cyber-Physical Systems Group under the supervision of Radu Grosu.

During my PhD, my research focused on learning-based approaches able to cope with safety-critical environments, under strict operational constraints. The goal of my work was the enforcement of formal requirements on the behavior emerging from automated learning approaches, specifically reinforcement learning. The application areas were autonomous driving and, more generally, robotics.

My main interests:

  • Safe and robust learning in real-world systems
  • Reinforcement Learning in robotics
  • Assessment and validation of autonomous controllers

News

  1. Jul 2026

    I successfully defended my PhD at TU Wien.

  2. Feb 2025

    I joined RIVR, an Amazon company, as an AI Engineer.

  3. Jan 2025

    The paper "Scenario-Based Curriculum Generation for Multi-Agent Driving" has been accepted at ICRA 2025!

  4. Dec 2024

    I wrapped up my PhD research at TU Wien and concluded my position in the Cyber-Physical Systems Group.

  5. Dec 2024

    The paper "HPRS: Hierarchical Potential-based Reward Shaping from Task Specifications" has been accepted for journal publication at Frontiers in Robotics and AI.

  6. Jul 2024

    I joined the Reinforcement Learning Team at Swiss-Mile Robotics for a 4-months internship on locomotion for wheeled-legged robots.

  7. May 2024

    Our team "Scuderia Segfault" placed 4th over 20 participating teams at the 15th F1TENTH Autonomous Grand Prix at ICRA 2024! Press.

  8. Apr 2024

    The paper "Safe Learning under Assumptions in Human-Robot Systems" has been accepted at ICRA 2024's workshop on Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction (pHRI).

  9. Mar 2024

    The preprint "Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving" is out.

  10. Jan 2024

    The paper "Learning Adaptive Safety for Multi-Agent Systems" has been accepted at ICRA 2024!

  11. Nov 2023

    I presented the work on adaptive safety for multi-agent systems at the DCRES seminar series of TU Wien.

  12. Sep 2023

    Winner team (USD 1,250) at the AI Safety Hackathon for Agency-Preserving Reinforcement Learning.

  13. Sep 2023

    The paper "Learning Adaptive Safety for Multi-Agent Systems" is out.

  14. Sep 2023

    I had the pleasure to participate at the first High-Performance Trip organized by the Marshall Plan Foundation.

  15. May 2023

    The paper "Enhancing Robot Learning through Learned Human-Attention Feature Maps" has been accepted at ICRA 2023's workshop on Effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots).

  16. Feb 2023

    I am starting a research exchange at the xLab of the University of Pennsylvania, Philadelphia, USA.

  17. Dec 2022

    I have been nominated for the Marshall Plan Scholarship (EUR 6500) to support my research on safe learning for intelligent autonomous driving systems.

  18. Sep 2022

    Our most-recent research activity on autonomous driving has been presented at the Forschungsfest (Science Festival) in Vienna.

  19. Aug 2022

    The paper "Safe Policy Improvement in Constrained Markov Decision Processes" has been accepted to ISoLA 2022!

  20. Jun 2022

    I presented the work on safe policy improvement from formal requirements for RL.

  21. May 2022

    Our team "Scuderia Segfault" placed 3rd at the 10th F1TENTH Autonomous Grand Prix at ICRA2022! Video.

  22. Jan 2022

    The paper "Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing" has been accepted to ICRA 2022!

  23. Nov 2021

    I presented the work on automatic reward shaping from multiple formal requirements for RL control tasks.

  24. Oct 2021

    Our team "Scuderia Segfault" won the 9th F1TENTH Autonomous Grand Prix at IROS2021! Video.

  25. Sep 2021

    I presented the project ADEX on Reinforcement Learning for autonomous-driving scenario generation at AVL Research Networking Day 2021.