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Faculty Members Receive Research Awards
- Dr.Yan Huang(Computer Science), Dr. Xinrong Li, Dr. Shengli Fu and Miguel Acevedo (Electrical Engineering) and Dr.Ruthanne Thompson (Chemistry) recently received a 2-year National Science Foundaion award to develop a publicly available environmental monitoring computing research infrastructure that incorporates open sensor network platforms and tools with intertwined wired and wireless sensors and actuators to support computing research and education. The proposed work contributes to develop the Texas Environmental Observatory(TEO) that builds upon and goes beyond the ECOPLEX (Environmental Conditions Online of DFW MetroPLEX) program created by the University of North Texas and the City of Denton in 1999.
The system will support a web based interface intergrating important tools for easy sensor network interaction and data dissemination.
- Dr.Miguel Acevedo (Electrical Engineering), Dr. Xinrong Li, Dr. Shengli Fu,Dr. Yan Huang(Computer Science), and and Dr.Ruthanne Thompson (Chemistry) and Tom Waller received a 2-year National Science Foundaion award for their multidisciplinary collaborative proposal entitled "Engaging Local Governments, Teachers and Students in Cyber Infrastructure for Environmental Monitoring and Modeling." Research activities funded in this project will include the development of a wireless sensor network to monitor soil moisture over a watershed, a low-cost total column ozone automated monitor, a web portal that supports sophisticated analysis and modeling tools. In addition, the project includes collaborations with the City of Denton, the National Weather Service (Fort Worth Office), Texas Parks and Wildlife Department, and the Lewisville Independant School District.
- Dr. Parthasarathy Guturu of the Electrical Engineering Department received a 3 year cooperative research grant on "System and Data Fusion Algorithms for Civilian Vehicle Recognition and Tracking" from the Army Research Laboratory in Adelphi, Maryland. In this research, Dr. Guturu will develop a distributed surveillance system with smart real-time algorithms for occlusion-tolerant object recognition and tracking.
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