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College of Engineering


Faculty - Spatial Information Engineering

Silvia Nittel

Silvia NittelContact Information

Phone:
(207) 581 3681

Email/Web:
Send an Email

Address:
University of Maine
Department of Spatial Information Science & Engineering,
Orono, ME 04467

Research interests

Dr. Silvia Nittel's main research interests are in database systems, distributed, heterogeneous systems, and mobile, sensor-based computing. She received her Ph.D. in 1994 from the Computer Science Department of the University of Zurich where she worked on high-performance storage techniques for extensible and object-oriented DBMS. She joined the UCLA Computer Science Department as postdoctoral researcher in 1995, and worked on integration platforms for heterogeneous spatial data. From 1998 to spring 2001, she was the Co-Director of the UCLA Data Mining Lab. Her research focused on high performance distributed tools for scientific data mining and scientific collaboration. Her current research focuses on extending database technology to support mobile and sensor-based data environments such as augmented virtual reality, continuously moving objects, and geo sensor networks. The current research is funded with grants from NSF, NGA and NASA.

Her current research focuses on extending database technology to support mobile and sensor-based application environments such as augmented virtual reality, and sensor-based location aware environments. She works on data management techniques to manage, storage, integrate and query continuous sensor data streams of various mobile devices in a high performance, reliable, scalable and dynamic way. Similar research problems are found in the area of information management and integration for system biology. Her research in this area focuses on data integration architectures for highly heterogeneous and interdisciplinary biology data that are continuously produced by biological experiments, condensed by analysis processes, and cross-correlated between different domains and disciplines. The system under development is component-based, and supports the dynamism of data production and knowledge acquisition in the experimental field of system biology.

Publications

  • G. Jin and S. Nittel, UDC: A self-adaptive uneven clustering protocol for dynamic sensor network, International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Wuhan, China,13-15 December 2005.
  • A. Nural, S. Nittel and S. Winter, Shared Ride Trips in Large Transportation Networks, In: Miller, H. (Ed.), Symposium on Societies and Cities in the Age of Instant Access, University of Utah, UT, November 2005.
  • M. Duckham, S. Nittel and M. Worboys, Monitoring dynamic spatial fields using responsive geosensor networks, ACM-GIS 2005, Bremen, Germany, November 2005.
  • In: Simonis, I. (Ed.), GI-Days 2005. Institute of Geoinformatics, University of Muenster, Germany.
  • S. Nittel, In-Network Spatial Query Estimation for Sensor Networks, Workshop on "Databases and Sensor Networks," Denki University, Tokyo, June 2005 (keynote)
  • S. Nittel, Research Direction in Geosensor Networks, First South African Workshop on Sensor Web Enablement, Pretoria, 3-4 March 2005 (invited talk)
  • S. Nittel, M. Duckham, and L. Kulik, Information Dissemination in Mobile Ad-hoc Geosensor Networks, Third International Conference on Geographic Information Science (GIScience 2004), College Park, Maryland, October 2004,
  • A. Stefanidis, and S. Nittel, Geosensor Networks, CRC Press, August 2004.
  • S. Nittel, and Leung, K., Parallelizing Clustering of Geoscientific Data Sets using Data Streams, International Conference on "Scientific and Statistical Data Base Management" (SSDBM), Santorini, Greece, June, 2004.
  • S. Winter and S. Nittel, Abstraction and Standardization in the Spatial Domain. International Journal of Geographical Information Science, 17(8), Dec 2003.


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College of Engineering
200 AMC Building
Orono, ME 04469
Phone: (207) 581-2216 or (207) 581-2217


The University of Maine
, Orono, Maine 04469
207-581-1110
A Member of the University of Maine System