Faiz Aladin

I'm an Electrical Engineering Master's student at University of Southern California, where I am co-advised by Daniel Seita and Lars Lindemann. Previously I studied at Connecticut College where I received my Bachelor's degree in Computer Science. I worked at the Autonomous Agent Learning Lab where I was advised by Gary B. Parker.

Email  /  LinkedIn  /  Github

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Research

My research focuses on the intersection of safe autonomy in robotics, leveraging latent space dynamics and computer-vision models to predict failure modes in high-dimensional systems. I am interested in safety analysis for manipulators and synthesizing safety filters for pre-defined controllers.

pendulum trajectory V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space
Faiz Aladin, Ashwin Balasubramanian, Lars Lindemann, Daniel Seita
International Conference on Robotics and Automation (ICRA), 2026
project website  /  arXiv (coming soon)

V-MORALS takes in a dataset of image-based trajectories of a system under a given controller, and defines a learned latent space for reachability analysis. Using the learned latent space, our method is able to generate well-defined Morse graphs and ROAs for various systems.

Inspired by the template here.