Salman Rahman

I am a Computer Science Ph.D. student at the New York University. I am primarily interested in a safe and trustworthy AI system that is interpretable, unbiased, and robust against adversarial and out-of-distribution attacks. Aside from that, self-supervised AI models that can learn on their own fascinate me greatly. I used to work in the computational sustainability field, primarily in energy sustainability, remote sensing, and satellite imagery.

Before joining NYU, I graduated with a master's in Applied Statistics and Data Science from the University of Texas Rio Grande Valley where I was fortunate to work with Professor Tamer Oraby on Bayesian inference and machine learning.