Salman Rahman
Computer Science, New York University
I am a Computer Science Ph.D. student at the New York University, working with Dr. Rumi Chunara in the CHUNARA LAB. My interests lie broadly in computer vision and machine learning, closely integrated with health care, algorithmic fairness, accountability, and transparency. In my research, I develop fair machine learning models to address visual recognition and healthcare challenges.
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.
Recent Highlights
Our work on linear programming optimization model application in irrigation project was accepted in Irrigation and Drainage Journal.
Our work on design of a stand-alone energy hybrid system for a makeshift health care center was accepted in Journal of Building Engineering.
Our work on hydropower production potential in Bangladesh to meet the energy requirements was accepted in Environmental Engineering Research journal.
Our work on improving spatial agreement in machine learning-based landslide susceptibility mapping was accepted in Remote Sensing journal.