PhD Student in Computer Science, University of Miami


Machine Learning, Artificial Intelligence and Computational Neuroscience

Visual system of our brain is very accurate and sophisticated to recognize objects correctly. We still can detect and understand the objects in situations where objects are partially visible, occluded, or even in poorly lighting condition. The same is not this easy when it comes to computer to recognize objects. But, these days, some machine learning models based on artificial neural networks, called convolutional neural networks (CNNs), are proved to be a very good model for the computer to recognize objects. What makes our brain and the CNNs such a good model for object detection? Are there any similarities, if any, between the two? Goal of my research is to pursue these long standing questions researchers are trying to answer, and uncover the similarities between artificial and biological neurons. We already have some results on various metrics that there are some qualitative correspondence between the two.