Arie Croitoru's current research focuses mainly on spatio-temporal data processing and analysis. With the increasing availability and coverage of location sensors, such as GPS, video, or RFID, it is now possible to track the location and monitor other attributes of moving objects. This unprecedented wealth of spatio-temporal data poses new research challenges. He is particularly interested in processing multi-dimensional trajectory data. Croitoru's overall goal is to develop an algorithmic foundation that will allow to utilize spatiotemporal data and facilitate various tasks such as indexing, clustering, classification, and summarization. In addition to these topics, he has also been active in several other research areas, concentrating mainly on Image Processing and Image Analysis, Digital Photogrammetry and Remote Sensing, Applications of Spatial Statistics in GIS and Geospatial information systems. Arie Croitoru
George Mason University
- Associate Professor
Arie Croitoru's current research focuses mainly on spatio-temporal data processing and analysis. With the increasing availability and coverage of location sensors, such as GPS, video, or RFID, it is now possible to track the location and monitor other attributes of moving objects. This unprecedented wealth of spatio-temporal data poses new research challenges. He is particularly interested in processing multi-dimensional trajectory data. Croitoru's overall goal is to develop an algorithmic foundation that will allow to utilize spatiotemporal data and facilitate various tasks such as indexing, clustering, classification, and summarization. In addition to these topics, he has also been active in several other research areas, concentrating mainly on Image Processing and Image Analysis, Digital Photogrammetry and Remote Sensing, Applications of Spatial Statistics in GIS and Geospatial information systems.