Former research projects at UC Davis

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.


In 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

This 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.