I am looking for multiple masters students for the following projects described below:
Gaze Tracking for application QoE: The goal of this project is to improve Web page load performance. One of the problems in page loads is that it is difficult to define the user-perceived page load time. Often, the page load time as specified by the browser is very different from when the user thinks the page is loaded.
In this project, we are using the user's gaze to determine page load time. Our user study with a hardware gaze tracker shows that indeed there is a correlation between the user's gaze and how they perceive the page to be loaded. Our goal now is to use gaze information to improve page load performance.
More details are at: gaze.cs.stonybrook.edu:8080
Improving mobile page load time: The goal of this project is to significantly improve the page load times on mobile phones. We are doing several projects in this space: performing controlled experiments to study bottlenecks in the page load process, studying optimizations such as HTTP/2, designing visualization tools to help Web developers write better Web pages, and many others.
More details are at: wprofx.cs.stonybrook.edu
Android Kernel Programming for power and performance: We are working on a number of projects involving manipulating the Android Kernel to improve the performance and power profile of mobile phones. For instance, we are working on rewriting the application binary to improve the power efficiency of the application. We are also working on leveraging the Android drawing API to improve the usability of Smart Watches.
An example project is at: mobilehub.cs.washington.edu