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J. Clay Harris
Our NSF-funded research deals with computational mathematics and a new paradigm called dynamic data-driven application simulations (DDDAS). We are working on a programmable, networked portable low cost mil-spec sensor-based system using DDDAS in extreme aqueous environments. DDDAS algorithms interact with three data collection components to provide early contaminant detection methods that can be used in remediation efforts to protect coastal facilities and nearby ecosystems from chemical spills. The research in this project is extendable to other environments, including remote planets and moons.
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