Faculty, students engage in collaborative project in Mideast
February 10, 2014
Associate professors Cheng Liu and Wan Bae are the primary
investigators for a new National Science Foundation grant UW-Stout recently received.
They will establish a collaborative research project with
UW-Stout engineering faculty and their students from the United Arab Emirates
University in Al Ain and the University of Sharjah, also in the United Arab
Emirates. Liu teaches engineering technology; Bae teaches math.
The $35,000 grant is for one year.
Specifically, the project is to develop a research framework
for modeling and analysis of individual exposure to various environmental
The first part of the grant supported a two-week visit in
January to the United Arab Emirates for Bae, Liu and undergraduate students
Jason Gass, of Manitowoc, and Eric Bonsness, of Turtle Lake.
The three main objectives of the visit and project include:
- To develop a long-term
international collaborative research partnership between the U.S. and UAE
in the rapidly growing field of spatio-temporal data mining.
- To involve undergraduate
students from the U.S. and UAE in research and educational activities.
- To develop a software
framework and build a hardware prototype for an acquisition system, sensor
network and Android application. The system will gather time and location
data using GPS through mobile devices.
The system would measure air quality,
nitrogen dioxide and ozone gas concentrations, dust particles and pollutants
through Bluetooth-enabled sensors. The data will be integrated into a health
monitoring system. Individuals would be warned about exposure to environmental
factors that could trigger asthma attacks.
As a result of data gathered, the research team will submit
a subsequent grant proposal to the NSF Smart and Connected Health program.
"The research will
focus on developing data models and computing algorithms for effectively
mapping individuals' environmental exposure to their health conditions and
implementing map/reduce methods for efficiently processing iterative
computations of the proposed models and algorithms," Bae said.