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RESEARCH - Illustrative Research Areas

Graduate students and faculty are engaged in far ranging yet complementary research programs. Many of the projects involve multi-investigator and cross-disciplinary efforts. For specific project descriptions, consult the NCGIA site or some of the example research abstracts. The following are illustrative of general areas within which specific topics are being pursued.

  • Spatio-Temporal ModelsA growing amount of data and information have important spatial and temporal dimensions. We need methods to manage, query, and access both dimensions.
    Research areas:

    • Databases for moving objects
    • Location based services
    • Event based models
  • Sensor Based SystemsMultiple sensing devices need to be integrated with computing platforms and wireless communications capabilities. We need advanced methods for doing so.
    Research areas:

    • Data processing, summarization and analysis in the network
    • Algorithms for autonomous adaptation and self-configuration of the network
    • User interaction – query languages for sensor networks
  • User Interfaces and InteractionsAs devices get smaller and we need to use them in different environments. New interaction paradigms are needed under the differing conditions.
    Research areas:

    • Sketch interaction
    • Egocentric pointing devices
    • Space-time visualization environments
  • Information ExtractionSurveillance and monitoring systems generate huge volumes of information. From such data streams we want to identify objects and/or behaviors.
    Research areas:

    • Automated feature extraction from satellite and aerial imagery
    • Detection and tracking of moving objects from imagery
    • Event detection and activity monitoring from time series and space-time series sensing
  • Information IntegrationGrowing heterogeneous collections of information (maps, images, text, video, time series) need to be integrated and searched for patterns
    Research areas:

    • Semantic similarity models
    • Event data models
    • Metadata models
    • Uncertainty models
  • Information Policy: Access, Security, Privacy, Intellectual Property RightsAs technologies and their interaction with society become more complex, neither technological nor legal solutions uninformed by the other are sufficient.
    Research areas:

    • Ethics driven information systems design
    • Models for internalizing external societal costs in systems design and development
    • Societal needs driven metadata, data provenance and recommender systems.
 


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Spatial Information Science and Engineering
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Orono, Maine 04469-5711
Phone: (207) 581-2188 | Fax: (207) 581-2206
The University of Maine
Orono, Maine 04469
207.581.1865