Rose's research includes the areas of information theory, signal compression, source-channel coding, video/audio coding and processing, pattern recognition, and nonconvex optimization. He is focused on the development of end-to-end distortion estimation in video transmission and streaming over lossy packet networks, optimal prediction in scalable video and audio coding, distributed source coding and sensor networks, as well as information theoretic approaches to optimization with applications in pattern recognition, signal compression and content-based search and retrieval from high-dimensional databases.