• Mohammad Jahanshahi

   

Description:

The Data Science for Smart Cities project aims to conduct interdisciplinary research to develop data analytics tools using robotics and autonomous sensing for condition assessment of urban systems. Using the methodologies that will be developed in this project, we will be one step closer to implementing the vision of smart cities that relies on developing the capability to analyze and fuse the heterogeneous data acquired by numerous sensor units. Such data constitute a true example of the so-called Big Data. In particular, the fusion and analysis of the data will improve the resiliency of urban systems by enabling more frequent and quantitative assessments. Incorporating advanced data interpretation approaches with mobile sensing agents that can efficiently collect, store, and transmit large volumes of data will enhance the spatiotemporal resolution of the sensed data. In this way, the evolution of changes can be autonomously tracked to predict the condition of the system under question. The heart of this project is data analysis. The main focus will be on developing novel machine learning and computer vision techniques to achieve the objectives of this project.