Yogesh Singh Rawat is an assistant professor in the Department of Computer Science at the University of Central Florida and a faculty member at the Center for Research in Computer Vision. He earned a doctorate in computer science from the National University of Singapore in 2017.

His research focuses on deep learning for computer vision, video understanding, human activity detection, multimedia computing and media aesthetics. Before joining UCF, Rawat worked as a senior member of the technical staff at Mentor Graphics in India from 2009 to 2012 and completed a postdoctoral fellowship at UCF from 2017 to 2019.

Rawat has served on program committees for major conferences, including ACM Multimedia and the IEEE Winter Conference on Applications of Computer Vision. He has also reviewed for journals such as IEEE Transactions on Multimedia and ACM Transactions on Multimedia Computing, Communications and Applications.