Big Data

Erton “Tony” Boci found his way into electrical and computer engineering through a natural curiosity and a talent for math. His journey led him to study wireless communication systems, work on a national air traffic surveillance system, and teach cutting edge technology to the next generation of engineers. 

The Department of Statistics’ Lily Wang and George Washington University’s Huixia Judy Wang are developing scalable, distributed computing methods to analyze large-scale spatiotemporal datasets. The collaborative research project is funded by the National Science Foundation.  

In two recent research projects, George Mason statistics professor Abolfazl Safikhani has applied machine learning tools to time series analysis of land use and real estate pricing to help decision-makers in urban planning and real estate.  

With funding from the Virginia Department of Transportation (VDOT), CEIE professor Shanjiang Zhu and his research team will reconcile travel data from three different sources—surveys, smartphones, and connected vehicles—into invaluable travel information.

A new credential in Data Analytics will help undergraduates hone their skills in handling big data.

Four seniors majoring in statistics––Emily Litzenberg, Kate Lang, Nate Mulugeta, and Shannon Connor––received an honorable mention for the best use of external data at the American Statistical Association’s (ASA) Fall Data Challenge 2020.

Mason Engineering researchers are joining forces with Inova Children’s Hospital for a project that will provide valuable data about the incidence of COVID-19 in children in Northern Virginia to school administrators and other decision-makers in the area.

The team’s work supports evidence-based decision making, informed by the models, to rethink and facilitate hospital operations in utilizing limited critical resources as demand surges.