Susan is an Associate Professor of in the Computer Science Department at the The College of Staten Island. Susan received her Master's Degree
from CSI in 1989 and her Ph.D. from the Graduate Center CUNY in 1999. Since 1986, she has taught at CSI as a lecturer, adjunct, and now professor.
Her most significant academic achievement has been the introduction and integration of LEGO handyboard based robots into the Computer Science curriculum. Each beginning computer science student has one lab assignment using robots.
The Artificial Intelligence students use neural networks to teach robots path following behavior. She is the recipient of the Computer Measurement Group's best journal article award 2002. Recently she was awarded CSI's Dolphin Award for Excellence in Teaching.
Data mining is a field that deals with the automated analysis of large amounts of data. Susan's research in this area has taken several directions.
Mainly, her work focuses on the application of data mining algorithms to analyzing medical data sets. Most medical data sets are not as large, with regards to the number of records, as data usually analyzed through data mining. Notwithstanding, they are highly dimensional, containing large numbers of variables. Thus, data mining techniques are well suited for finding hidden patterns in this data. She is also looking at the patterns formed by frequent itemsets over time in incremental association rule algorithms. Her research also deals with the application of data mining to real world problems.