Dr. Yu Ding, the Mike and Sugar Barnes Professor in the Department of Industrial and Systems Engineering at Texas A&M University has made a big impact in the wind energy industry with his use of data science to model wind turbine performance and quantify potential upgrades.
Most people might think of computer storage, like an external hard drive or flash drive, as something static that you can leave sitting somewhere indefinitely without issue. In reality, that’s not the case. For instance, data is stored in flash drives by capturing electrons in cells, and over time those electrons can escape for a variety of reasons, creating errors in the data or corrupting the data altogether.
Dr. Anxiao (Andrew) Jiang, associate professor in the Department of Computer Science and Engineering at Texas A&M University, said even the ambient room temperature can affect data storage.
The focus of the fifth annual Smart Grid Workshop on the Texas A&M University campus was using smart grids for big data. The workshop was organized by the Texas A&M Engineering Experiment Station’s (TEES) Smart Grid Center after receiving a $1 million grant from the National Science Foundation’s (NSF) Big Data Spokes Program to extend collaboration and innovation using big data for the smart power grid area.
The ability to gather and analyze large and complex data sets is driving progress in many disciplines. In an effort to increase the level of activity in Big Data research at Texas A&M University, the Texas A&M Engineering Experiment Station (TEES), in partnership with the Texas A&M Division of Research, Texas A&M AgriLife Research, Texas A&M Health Science Center (TAMHSC) and the Texas A&M Transportation Institute (TTI), has awarded nearly $350,000 in seed grant funding to seven interdisciplinary research teams for Big Data.
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