Carlos Castillo

Carlos Castillo is an assistant research scientist and a member of the Center for Automation Research (CfAR).

His research interests include computer vision, specifically object detection and recognition, facial recognition, and stereo matching. He is also active in machine learning involving large-scale classification, deep convolutional neural networks, support vector machines, and Markov random fields with applications to computer vision.

In 2018, Castillo was part of a team that won the UMD Invention of the Year award in the information sciences category.

Castillo received his doctorate in computer science from the University of Maryland in 2012.

While completing his doctorate, he conducted research in facial recognition at CfAR. He also previously performed research at the Universidad Simón Bolívar’s Artificial Intelligence Lab (2002–2005) and Remote Sensing Lab (2003–2005).

Go here to view Castillo’s academic publications on Google Scholar.