Dr. Etudo’s research focuses on the application of ontology and knowledge engineering towards the provision of solutions to various business and social problems. He has successfully used these techniques to provide several computational solutions to the problem of interoperability in XBRL financial statements in the United States. Dr. Etudo also studies machine learning for text analytics focusing on named entity recognition and relation extraction. An applied researcher, he studies how these techniques can be used to track the propagation of organizational messaging on the Web with a special focus on terrorist organizations.