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Computing & Information Sciences

Discovering new, innovative methods and research opportunities in solving complex present-day and future computing challenges.

How can an experiential approach to education, in combination with a games-based orientation, help us reach often-elusive educational goals? In many ways the study of games and game design bring us back to tenets of... READ MORE
The Early Career Workshop brought together scholars from around the North America, to meet, share research, consider potential collaboration and sow the seeds of the network they will grow together. It is the initial workshop... READ MORE
Crowd-sensing is a popular way to sense and collect data using smartphones that reveals user behaviors and their correlations with device performance. PhoneLab is one of the largest crowd-sensing platform based on the Android system.... READ MORE
In this paper, we study the power allocation problem for the downlink transmission in a set of closed-access femtocells which overlay a number of macrocells. We introduce a mutli-step pricing mechanism for the macrocells to... READ MORE
The goal of this covert channel is to prove the feasibility of using encrypted HTTPS traffic to carry a covert channel. The encryption key is not needed because the original HTTPS payload is not decrypted.... READ MORE
We describe the recent developments of an opensource project called RATCHET that can be used by groups of users to collectively construct attack trees. We present the RATCHET framework as well as a model for... READ MORE
In the increasingly connected world, cyber-physical systems (CPS) have been quickly adapted in many application domains, such as smart grids or healthcare. There will be more and more highly sensitive data important to the users... READ MORE
This study draws on design-based research on an ARIS–based mobile augmented reality game for teaching early 20th century history. New design principles derived from the study include the use of supra-reveals, and bias mirroring. Supra-reveals... READ MORE
We demonstrate that recognition of scanned typeset mathematical expression images can be done by extracting maximum spanning trees from line of sight graphs weighted using geometric and visual density features. The approach used is... READ MORE