About me

I am Fatemeh Naeinian, a second-year PhD student in Electrical Engineering at New York University (NYU), advised by Prof. Anna Choromanska.

My research focuses on self-supervised learning and autonomous driving, with an emphasis on building world models that generalize across diverse driving environments. I am particularly interested in understanding how representation learning impacts robustness and transfer across different cities and driving conditions.

I received my B.Sc. in Electrical Engineering, with a minor in Computer Engineering, from the University of Tehran. During my undergraduate studies, I worked on learning-based robotic grasping, resulting in a publication at the 32nd International Conference on Electrical Engineering (ICEE 2024).

Outside of research, I enjoy cooking, exploring New York City, and watching movies.

News

• [March 2026] Our paper on zero-shot cross-city generalization in autonomous driving is available on arXiv.
• [May 2024] Presented our work on Machine learning-based robotic grasping at ICEE 2024.