Current research include efficient indexing techniques for moving points, approximating range queries, similarity searching in sequence databases, local adaptive classification techniques, information retrieval in peer-to-peer systems, and analysis of sensor data.
Some of our most recent work includes results on peer-to-peer databases, complex spatio-temporal pattern queries, and tools for visualizing and data mining medical time series.
Eamonn Keogh has created a time series repository for the data mining/machine learning community, to encourage reproducible research for time series classification and clustering. Webpage
Marios Hadjieleftheriou has created a Spatial Index Library which provides a general framework for developing spatial indices. Currently it defines generic interfaces, provides simple main memory and disk based storage managers and a robust implementation of an R*-tree, an MVR-tree and a TPR-tree. Webpage
