Media reports on socially and biologically complex neurological conditions such as autism and fetal alcohol syndrome (FAS) often fail to engage audiences in meaningful discourse. Research is needed to identify new models of scientific reporting in journalism to counteract this gap. Our goal is to investigate and analyze a new model of science reporting that […]

This project seeks to address the flood of bugreports and crashreports that software companies must address when they build consumerfacing software. Organizations can easily face 50,000 crash reports per day. Developers cannot manually sift through them all. The goal of this work is to exploit modern search engine technology and crash report representation to enable […]

“In this project, a new digital platform will be created through which social interactions among the actors involved in the design & construction projects are detected and correlated to the IFC model of the facility. The created system will form the social network of actors involved in the process of design change, and also will […]

Social Network Games are multi-player games played through social networking sites (e.g. Facebook). Working in conjunction with Big Viking Games, the Canadian company behind Facebook games such as YoWorld and FishWorld, this research seeks to add much needed knowledge about who plays Social Network Games, what activities they undertake while participating in these gameworlds, as […]

Learning Analytics is the collection and analysis of data traces related to learning in order to inform and improve learning processes and/or their outcomes. In digital environments, this data can be easily captured. Hence, there is a particularly great opportunity to visualize these traces and put them in the hands of students to support their […]

Recent technological advancements led to the emergence of technology-enabled collaborative environments in which students work together on different activities. In such settings, the first step is to determine the participants who are present and take part in the collaborative activities. We are interested in the attendance-taking process itself as a collaborative activity, and plan to […]

The Think-Move-Play project’s purpose is to study the feasibility and acceptability of utilizing smart insoles to collect health information and interact with patients suffering from hip fracture and neurological diseases. We propose a unique solution by combining personal health monitoring and coaching that is augmented with a virtual play environment aimed to maintain constant high […]

The objective of the proposed research project is to develop a realistic color appearance model based on the human visual system’s functioning that addresses the issue of reflections under high luminance levels. This will be incorporated into algorithms used in the color reproduction and retargeting algorithms of OLED displays. This model should give rise to […]

The PC and console video game market have overtaken Hollywood movies as the number one source of entertainment dollars spent in North America. Very little work has been done to date on the effects that these games are having on (particularly young) players. This project will take well established rhetorical principles (Burke, Fahnestock, Perlman) that […]

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

The purpose of this project is to develop a highly accurate e-commerce recommender system able to select products across databases and recommend them to prospective customers both in real-time and off-line. Leveraging the historical inventory of sold products, browsing history, purchase history, and expressed preferences helps the recommender to formulate highly accurate product suggestions to […]

User intention prediction of event data, collected during the business process, has become an important topic in Web Analysis and Business Intelligence. Commercial organizations have realized its importance for providing cost-effective opportunities to improve their decision-making in digital marketing strategies. We aim to develop and implement a statistical prediction model to make the prediction of […]