Research Focus
We live amidst real-time data flows, with sensors measuring everything from air quality to traffic, with our own cell phones and social media yielding information about our whereabouts and activity levels, with buildings reporting on their own energy consumption and maintenance. The role of machine learning in smart cities is to provide a seamless and data-driven operating environment. This is only one of the visions/goals of smart cities but one that is the focus of our research. Our research focuses on devising new algorithmic, statistical, mathematical, machine learning, artificial intelligence, and hybrid methods to tackle complex problems in urban computing and intelligent transportation, in addition to analytical and visualization methods to make sense of spatial-temporal data. We leverage the data to make cities smarter, environmental resources sustainable, and quality of life better for citizens.
