Home / Research Experiences for Undergraduates / REU - Data analytics for vehicle-based mobile sensing data



Infrastructure Systems

Data analytics for vehicle-based mobile sensing data

Jinwoo Jang Led by Jinwoo Jang, Ph.D

Jinwoo Jang is an Assistant Professor in the Department of Civil, Environmental and Geomatics Engineering (CEGE) at Florida Atlantic University. He is also jointly appointed with the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) as a Faculty Fellow. He received his Bachelor’s degree in Civil and Environmental Engineering from Kookmin University in South Korea. He got his Master’s and Ph.D. degrees in Civil Engineering and Engineering Mechanics from Columbia University. During his Ph.D., he was a research intern at Philips Research North America. He was a Postdoctoral Research Scientist at Columbia University. His primary research interests are in the development of sensor network applications and robust data analytics approaches that will enable a creation of new innovative service propositions for the next generation of smart and connected urban environment. 


PROJECT

This REU project is focused on the development of connected-vehicle-based mobile sensing platforms that will build increasingly-important data infrastructure for upcoming smart and connected cities. Network-level urban environment sensing data can be collected from a huge number of connected vehicles and analyzed to draw practically-valuable information for civil infrastructure condition monitoring, city asset management, public safety, and environmental sustainability.
The REU participant will explore a complete architecture of mobile-sensing-based data infrastructure, ranging from an innovative data collection phase to cutting-edge data mining techniques. Put simple, the REU participant will learn how to get data, how to process data, and more importantly how to integrate data. In addition to cutting-edge sensing and embedded network applications, the participant will deepen fundamental knowledge in data science through this project, such as machine learning, optimization, information theory, and probability and uncertainty. The project will provide a meaningful and enjoyable experience for the participant, while contributing to Jinwoo Jang’s ongoing research activities in this area.