John R. Zhang is a doctoral candidate in Computer Science at Columbia University where he is examining the significance of gestures in unstructured video, as well as developing methods for their automatic recognition, classification and retrieval. His research aims to find relationships between gestures and semantics, particularly in the domain of instructors in lecture videos. Identifying these relationships and developing the techniques for their automatic discovery and retrieval would contribute to the field of video understanding and allow for the creation of tools that would result in an increase of users’ efficiency in browsing and searching through videos. John’s related research interests include video taxonomic classification and machine learning.
John represents Canada as a recipient of the International Fulbright Science & Technology Award. Prior to his arrival in the United States, John was awarded double Bachelor of Science degrees with distinction in Computer Science and Mathematics from the University of Calgary. His interest in computer science grew through research projects at his college and internships at Bell Labs and Google.