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.

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

News

• [May 2026] Released the TALKtoME Dataset, a curated visual dataset supporting speech and language acquisition in autism. Website
• [April 2026] Presented our work on zero-shot cross-city generalization in autonomous driving at NYC Computer Vision Day.
• [March 2026] Our paper on zero-shot cross-city generalization in autonomous driving became available on arXiv. arXiv
• [May 2024] Presented our work on learning-based robotic grasping at ICEE 2024. IEEE