We tackle various group activity and scheduling problems using parameterized complexity and game theoretic models (in particular, mechanisms) to better understand why these problems are difficult to solve in general.
This project focuses on theoretical aspects of computer science including (but not limited to):
We aim to understand strategic behaviors of multiple parties involved in the mobile advertising industry by analyzing a large amount of time-series data.
In addition, we want to develop a method for fairly dividing a credit among multiple players if they collectively convert a consumer to purchasing a product (or, on mobile devices, to installing an app). This project involves big data mining & analytics along with game theory.