Her research interests span several areas within the domain of Artificial Intelligence. Her most notable work deals with the use of data mining to analyze medical data. Her papers dealing with surgical risk factors in accommodative esotropia (crossed eyes) have appeared in several highly ranked medical and computer journals. She has also investigated the prediction of itemset emergence using incremental association rule algorithms in temporal data. Dr. Imberman received the Computer Measurement Group's best journal article award in 2002 for her paper titled, “The KDD Process and Data Mining For Computer Performance Professionals."