Research and develop expressive and efficient spatial and temporal query languages, efficient and scalable temporal and spatial data management and processing, and support real world spatial and temporal applications, including biomedical applications, geospatial applications and mobile applications.

• Pathology Analytical Imaging Standards (PAIS)
• A High Performance Distributed Spatial Data Warehousing and Query Processing System over MapReduce (Hadoop-GIS)
• Efficient In Memory Based Spatial Queries for Large Scale 3D Data with Complex Structures (iSPEED)
• A High Performance Distributed Spatial Data Warehousing and Query Processing System over Spark (SparkGIS)
• Scalable Real Time Spatio-Temporal Aggregate Query Processing Framework using Parallel Data Representation Approximation
• Distributed Query Processing and Partitioning for Complex Temporal Queries (in-progress)
• Temporal Management of RFID Data (past project)
• Archival Information Systems(ArchIS) (past project)
• Incorporating Change Management into Archival Processes(ICAP) (past project)