Fatemeh Ghofrani

Machine Learning Researcher building robust and reliable visual intelligence.

My work sits at the intersection of computer vision, representation learning, adversarial robustness, and multimodal AI. I study how modern learning systems represent visual information, where they fail, and how we can make them more robust and efficient.

Explore My Research Google Scholar GitHub

WHAT I WORK ON

01

Robust ML

Understanding model vulnerabilities and developing robust representations through adversarial learning and training.

02

Computer Vision

Learning and analyzing visual representations across classification, segmentation, object detection, and related vision tasks.

03

Multimodal AI

Studying representations, behavior, and robustness in modern vision-language models.

TECHNOLOGIES I WORK WITH

Python PyTorch Scikit-learn CLIP SigLIP SAM CNNs Vision Transformers Transformers NumPy Pandas CUDA Git Linux LaTeX