I am currently a graduate student at the Dept. of Computer Science and Engineering, Michigan State University. I have been working as a research assistant at Embodied Intelligence Lab, under the supervision of Prof. Juyang Weng . My research interests are in the areas of biologically-inspired computer vision, brain modeling, and machine learning. Specifically, I am interested in the biologically motivated models of cognition, learning, and development, and their application to machine vision problems such as stereo vision, attention and recognition.

My Master's research project was supported by the Toyota Research Institute. The goal was to model the mechanisms of binocular vision in the visual dorsal and ventral pathways using what is called the Where-What Network. We are trying to model feature-based bottom-up attention, location-based, size-based and depth-based top-down attention, and object-based top-down attention using cortex-inspired neuromorphic learning networks.