Keynote Talk:
Mining Data Streams in Sensor Networks
| Speaker: Dr. Dimitrios Gunopulos |
Abstract:
Sensor networks of inexpensive, efficient, and lighweight nodes are enabling the recording of the physical world with unprecedented capacity. Large-scale sensor network deployments have already emerged in environmental and habitat monitoring, healthcare, seismic and structural monitoring, industry manufacturing and military missions. The issue of data management of this deluge of sensor data has become of paramount importance in recent years. In this talk we discuss recent progress and key technical challenges for reliable data management in sensor networks. We focus on in-network data storage and data analysis techniques, as well as data stream analysis techniques. We address the challenges and research opportunities that arise in the area, and present open problems for future research.
Short Bio:
Dimitrios Gunopulos got his PhD from Princeton University. He has held regular and visiting positions at the Max-Planck-Institute for Informatics, the University of Helsinki, the IBM Almaden Research Center, the Dept. of Computer Science and Engineering, University of California, Riverside, and the Dept. of Informatics and Telecommunications, University of Athens.
His research is in the areas of Data Mining and Knowledge Discovery in Databases, Databases, Sensor Networks, Peer-to-Peer systems, and Algorithms. He has co-authored over a hundred journal and conference papers that have been widely cited. His recent research work has focused on designing algorithms for in-network data acquisition, data storage, and data analysis in sensor networks, on developing efficient data mining techniques, such as clustering, classification and outlier detection, for geospatial and spatiotemporal data, on developing indexing and retrieval algorithms for moving objects and multi-dimensional time series, on designing techniques for sharing and discovering information in unstructured peer-to-peer networks, and on develoving efficient query processing techniques for Top-K queries. His research has been supported by NSF (including an NSF CAREER award and an ITR award), the DoD, the Institute of Museum and Library Services, the Tobacco Related Disease Research Program, the European Commission, and AT&T.
He has served as a Program Committee co-Chair in the IEEE International Conference in Data Mining (ICDM) 2008, in Pisa, Italy and as a Program Committee co-Chair in ACM SIGKDD 2006 (Pliladelphia, PA, USA). He has also served as PC co-Chair in SSDBM 2003, as a Vice PC-Chair in IEEE ICDE 2004 and in IEEE ICDM 2005, and he is currently an associate Editor at IEEE TKDE, at IEEE TPDS, and at ACM TKDD.