I am a PhD student in the Autonomous Intelligent Machines and Systems CDT at the University of Oxford and am supervised by Marta Kwiatkowska. My research interests lie in safe and reliable machine learning and autonomous systems, focusing on methods to evaluate and verify their performance. I am also interested in the ethical implications of deploying AI-based systems as well as their regulation and governance. My research is generously sponsored by Toyota.
Prior to coming to Oxford, I got my MSc at ETH Zürich focusing on robotics, machine learning, statistics, and applied category theory. My thesis was on Compositional Computational Systems. At ETH, I was working closely with Prof. Emilio Frazzoli's group and my studies were generously funded by the Excellence Scholarship & Opportunity Programme (ESOP). I was also a research intern at Motional.
Before that, I received my BSc in Aerospace Engineering from TU Delft and did my final project under the supervision of Christophe de Wagter of the Micro Air Vehicle Laboratory. I also had the pleasure to work with Ron Noomen on spacecraft trajectory optimization.
Compositional Computational Systems
Aleksandar Petrov, supervised by Gioele Zardini, Andrea Censi, Emilio Frazzoli
Master thesis
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
Learning Camera Miscalibration Detection
Andrei Cramariuc*, Aleksandar Petrov*, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena
IEEE International Conference on Robotics and Automation (ICRA) 2020
Optimizing multi-rendezvous spacecraft trajectories: ΔV matrices and sequence selection
Aleksandar Petrov, Ron Noomen