Databases
Researchers in the databases area focus on data management issues in pervasive computing environments, digital libraries, data integration and interoperation, citation analysis, and large scale image databases. The research has been supported by the National Science Foundation, Department of Homeland Security, and the U.S. Department of Defense. Research results have applicability to diverse areas such as biomedicine, art and cultural imaging, computer security, in-situ sensing, telecommunications, information sharing and dissemination, information filtering, and online information retrieval.
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Pervasive Data Access Research Group (PDA) - Lead Faculty: Professor W.-C. Lee
The PDA group performs cross-area research in database systems,
pervasive/mobile computing, and networking. The group is particularly
interested in developing data management techniques (including mining,
accessing, indexing, caching, aggregation, dissemination, and query
processing) for supporting complex queries and knowledge discovery in a
wide spectrum of networking and mobile environments such as
peer-to-peer networks, mobile ad-hoc networks, wireless sensor
networks, and wireless broadcast systems.
Data Integration and Interoperation - Investigator: Professor Mitra Professor Mitra's research interests are in database systems, database security, digital libraries, and the semantic web. More specifically, his laboratory pursues research in data integration and interoperation. They have designed algorithms for information extraction, and explored how such data can be integrated with semantically heterogeneous data and information from diverse sources. Large Scale Image Databases - Lead Faculty: Professor Wang The research group of Professor Wang aims at developing advanced methods and systems for managing very large scale image databases. Specifically, they have been developing similarity matching, classification, clustering, linguistic indexing, and retrieval interfaces for image databases. Machine learning, statistical modeling techniques, and mathematical transforms are used. The group has applied their work to biomedicine, art and cultural imaging, computer security, information filtering, and online information retrieval. The Penn State Information, Knowledge, and wEb Research Group (Pike) - Lead Faculty: Professor Dongwon Lee This group studies various research issues including: conventional database research agenda, XML data model and schema/query languages, Web search, Web services and semantic Web, metadata, information retrieval, digital library, citation analysis, as well as bibliometrics. |
