His research spans image processing, computer vision, machine learning, data mining, social media, biomedical informatics, and ubiquitous computing. He is a pioneer for contextual inference in semantic understanding of visual data and social multimedia data mining. He has published extensively in these fields with over 400 peer-reviewed technical papers and over 90 US patents. His Google Scholar h-index is currently 89. His research has been supported by federal and state agencies including NSF, NIH, ONR and New York State CoE, as well as various corporate sponsors.