I am currently a post-doc at the Fraunhofer Center for Sustainable Energy Systems. My current research focus is on building Ubicomp and mobile systems to support behavior change for energy efficiency in buildings.
I recently finished my Ph.D. in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University. My advisor was Anind Dey. My thesis investigated how to support intelligibility in context-aware applications to improve user understanding and trust.
I am interested in designing, developing, and evaluating user-friendly context-aware applications, which can do sensing, complex inference and decision making using rules and machine learning. I also aim to improve the usability of these systems to help users understand their underlying reasoning processes. With increased usability, we can build applications that will be more widely adopted to help solve real-world challenges by everyday users.
I have also obtained the A*STAR National Science Scholarship, providing funding for my undergraduate (Fall 2003 – Spring 2006) and graduate studies (since Fall 2007).