Below is a brief outline of some of the project Prof. Dr. Michael Gertz worked on at the University of California at Davis before joining Heidelberg University in 2008.
Outlier Regions in Sensor Networks
Sensor networks play an
important role in applications concerned with environmental monitoring,
disaster management, and policy making. Effective and flexible
techniques are needed to explore unusual environmental phenomena in
sensor readings that are continuously streamed to applications. In this
work, we develop models and techniques that allow to detect outlier
sensors and to efficiently construct outlier regions from respective
outlier sensors. For this, we utilize the concept of degree-based
outliers. Compared to the traditional binary outlier models (outlier
versus non-outlier), this concept allows for a more fine-grained,
context sensitive analysis of anomalous sensor readings and in
particular the construction of heterogeneous outlier regions. The latter
suitably reflect the heterogeneity among outlier sensors and sensor
readings that determine the spatial extent of outlier regions. Such
regions furthermore allow for useful data exploration tasks. We
demonstrate the effectiveness and utility of our approach using real
world and synthetic sensor data streams.
this NSF funded research project we developed models, techniques, and
architectures for the adaptive processing of real-time remotely-sensed,
streaming geospatial image data, in particular from the National Oceanic
and Atmospheric Administration’s (NOAA) Geostationary Operational
Environmental Satellite (GOES).
COMET Transect COMET: COast-to-Mountain Environmental Transect
NSF-funded project will develop a state-of-the-art cyberinfrastructure
to facilitate climate research in a transect spanning from Bodega Bay to
Lake Tahoe. The cyberinfrastructure will be based around the
integration of access to distributed and varied data collections and
sensor data streams, semantic registration of data, models and analysis
tools, semantically-aware data query mechanisms, and an orchestration
system for advanced scientific workflows. Access to this
cyberinfrastructure will be provided through a Web-based portal. Prof.
Dr. Michael led this project until he moved from UC Davis to the
University of Heidelberg.