Learning & control
Ahmad Amine
PhD student · Penn Engineering
Data-driven safe iterative control
I am a PhD student in Electrical and Systems Engineering at the University of Pennsylvania, advised by Rahul Mangharam. My research focuses on learning and control of dynamical systems under uncertainty.
I study how successful task executions can improve control performance and how failed executions can identify constraints and invariance-preserving control inputs. My work combines model predictive control, learning, and system identification, with autonomous vehicles and autonomous racing as an application domain.
At Penn, I also teach control and robotics as a teaching assistant and help organize international Roboracer competitions.
I have a Masters in Robotics from Penn. Before my PhD, I got a BE in Electrical and Computer Engineering, with a minor in Mathematics, at the American University of Beirut.
Recently
Research & community news
FAIL has been accepted to CDC 2026. AD-MPCC and STL-SVPIO have been accepted to IROS 2026.
I helped organize the Roboracer competitions at ICRA, with 30 teams, and IV, with 14 teams. Conference photos and notes
I served as lead teaching assistant for Penn’s autonomous racing course, giving lectures on optimal control, model predictive control, stochastic optimal control, and reinforcement learning. Courses and teaching roles
Academic service
Peer review
I review for IEEE Robotics and Automation Letters, Automatica, and Optimization and Engineering.
My conference reviewing includes ICRA (2025–2026), IROS (2023–2026), RO-MAN (2023–2026), SYSID (2024), COINS (2025), and IV (2026).
Contact
Got any questions about my research? Looking to collaborate on future research? Reach out!