Environmental Health Technology

In environmental health technology, we combine both state-of-the-art measurement technology and data analytics, to provide services capable of, for instance, anomaly detection, event recognition, and situational awareness. In this field, we merge both linear and non-linear modeling techniques with semantic technologies to produce knowledge out of time series data. The application examples include, indoor air qulity monitoring, noise measurement and modeling, as well as, plant disease event recognition. In our projects, we have been involved in all tasks, including sensor development, data acquisition, event modeling, knowledge acquisition, and knowledge representation.

 

The most recent projects include:

  1. High-quality Measurement Infrastructure for Future Resilient Control Systems (FResCo, 2013-2015)
  2. Information technology pathways to accelerated scientific discovery from avalanche of meteorological and environmental data and models (PATHWAY, 2012-2014)
  3. Acoustic intelligence and surveillance system, (AKU, 2012-2014)
  4. Multipurpose Development Platform for Monitoring Applications – case agile acoustic sensors (Monet, 2011-2013)
  5. Measurement, Monitoring and Environmental Assessment (MMEA, 2010-2015)
  6. Modeling Methods For Situation Awareness (TiTiMaKe, 2009-2011)
  7. Commecializing a moniroting system for energy efficiency and healthy housing, (AsTEKa, 2009-2010)