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Statement of Research Interests
My research involves using data mining and modeling methods to create innovative and efficient solutions to complex environmental systems problems, such as characterizing large-scale environmental systems and modeling the fate and transport of contaminants within these systems. While much of my work focuses on data-driven modeling of environmental systems, I also have a strong background in physics-based modeling and stochastic approaches. This diverse experience has convinced me of the value of sensor data for the future of environmental forecasting and decision making and encourages me to combine both data-driven and physics-based approaches in order to develop more capable models of large-scale hydrologic systems.
Through my interest in mining environmental data, I have become acquainted with the community of researchers who are deploying sensors into the environment and developing environmental observatories and information systems, and my interest in developing technologies that facilitate the collection of highquality data with environmental sensors has been piqued. Thus, my research interests consist of two interrelated tracks: the development of technologies that facilitate the collection of high-quality data with environmental sensors and the use of sensor data for modeling large-scale environmental systems.
I. Collection and Quality of Sensor Data
Recently there has been much attention directed toward the deployment of sensor networks charged with the collection of data regarding large-scale environmental systems (NRC 2006). These data will be instrumental in furthering our understanding of the environment, as well as in monitoring and modeling the quality of the environments in which the sensors are deployed. Unfortunately, because these sensors are often remotely located in harsh environments, there are many difficulties associated with collecting high-quality data from these sensors (NSF 2005). 我要提问
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