Research Areas of Interest:
Research Statement:
The nature of data has significantly changed in the past decades. A large volume of spatio-temporal data has been produced, collected, and shared to observe events in the real world at different spatial scales and temporal frequencies. These heterogeneous data streams can be used to recognize evolving situations. These situations vary and affect multiple aspects of people’s lives - such as traffic, flash floods, economic recession, and epidemic diseases. Detecting situations in time to take appropriate actions can help in saving lives and resources. Building upon social network concept where people connect to each other, the Social Life Network (SLN) concept is introduced. The ultimate goal is to connect people with the right resources efficiently, effectively, and promptly, depending on the evolving situations.
Research Projects:
Research Funding: