Sycophant User-Context Framework

Ph. inishe D.

I successfully defended my dissertation on May 13, 2008 and  now work as a research computer scientist with Starkey Labs.

I am interested in building Adaptive Human Computer Interfaces. My research harnesses the advances in the fields of Artificial Intelligence, Machine Learning, Robotics and Human Computer Interaction to build adaptive human-computer interfaces.

My adaptive interfaces framework (sycophant) relies on different learning paradigms like genetics based machine learning techniques (GBML), context-sensitive learning and data mining to build applications that are more responsive to a user's needs. I work under Dr.Sushil Louis' supervision in the Evolutionary Computing Systems Lab

In more detail, my research interests lie at the intersection of Human-Computer Interaction and Machine Learning . Currently, my research focuses on better personalization of adaptive user interfaces related to interactive desktop applications.