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Software-defined networks (SDNs) are managed by a central controller that typically uses a separate, out-of-band network for control traffic. We are working on an intercontinental SDN, the AtlanticWave/SDX, and a secondary network connection would be very costly, so we have designed an in-band network control solution, and have generalized it for other SDNs to use.

In the last few years, there has been tremendous growth in the prevalence and widespread use of smart and ubiquitous technologies. These technologies include the use of smartphones, smartwatches and wearables, and smart devices. While these devices have a variety of benefits, they come at the cost of using our data for number of purposes that is not transparent to an average user. This project aims to understand how people perceive regarding privacy concerns with respect to their health data being collected and used by third party entities.

User interaction is central to the data analysis process fostered by interactive visual analytic interfaces. However, in many current systems, user interaction is represented as an ephemeral action taken by a user that moves the system from one state to another. User interactions are quantitative bits of the analytic dialog between people, the system, and the data - and when modeled - can be tactfully integrated into visual analytic systems. We propose a library to help researchers and developers capture, interpret, and model interactions in web-based visual analytic tools.