He received his Ph.D. in Computer Science and Engineering from the Mississippi State University. Dr. Reddivari's research interests include software engineering, visual analytics, information retrieval, data mining, text mining, healthcare data analytics, and visualization and virtual reality in healthcare. Dr. Reddivari’s expertise is in data pre-processing, clustering, summarization, visualization, and outlier detection. He regularly teaches the data mining course at UNF. He received the best doctoral symposium poster award at the 2013 IEEE International Requirements Engineering Conference (RE’13). Dr. Reddivari’s work in software engineering domain led to a number of publications at various prestigious venues such as the International Requirements Engineering Conference (RE) and workshops affiliated with International Conference on Software Engineering (ICSE).