Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

Andre Bianchi and Sophia Perez’s dashboard reveals historical trends and recurring themes in fight songs, which earned them a spot at the Big Ten Academic Alliance Data Viz Championship.

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand ...

“Right now we’re trying to catch disinformation campaigns,” said David Waldrop, CEO and Founder of ICG Solutions based in Potomac, Maryland. Waldrop is talking about his latest project in big data ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

Topological data analysis (TDA) is a methodology designed to study qualitative properties (shapes) of data using topological, statistical, and computational ideas. This topological framework has ...

Fig. 1: Orientation analysis carried out on a glass fiber-reinforced sheet molding compound (SMC). Each direction is coded by a certain color. This orientation data can be used to obtain fiber ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

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