Internet display advertising is a substantially growing industry, where advertising spots are dynamically allocated according the product characteristics and the target audience. This is commonly seen on Facebook or Google. However, accurate audience targeting is still an enormous challenge in practice, and often evokes frustration for advertisers and users. However, with the rapid growth and […]

High-volume online stream processing, also known as fast data processing, is becoming increasingly important in a number of different commercial sectors. Unlike big data processing in which data is processed asynchronously in batches, fast data processing performs synchronous data analysis that generates actionable results within a specified deadline. One of the key challenges in building […]

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 […]

This research project will provide the intern with the opportunity to work with end users (students and faculty) to refine, further develop and test a prototype of NursApp, a learning management system (LMS) designed to create opportunities for students to use technology to learn in post-secondary education. The intern will work with co-owners to conduct […]

Along with industry partners, including NGrain, Convergent Manufacturing and Boeing, we are proposing to develop state-of-the-art visualization and interactive techniques for exploring sensor and manufacturing component data, in-situ. Through a combination of user research and user-centered design techniques, this project proposes the development of a technical demonstrator of a mobile manufacturing job aid as the […]

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 blood of cancer patients contains DNA that has been shed by their tumours (circulating tumour DNA or ctDNA). As such, any genetic mutations in the tumour may be detected in the patient’s blood. Theoretically, patients can be followed and monitored through analysis of ctDNA, which would reveal if the patient is responding to treatment, […]

Many reservoir engineering studies are based on simplified equations to analyze the production data. However, in many situations such as shale gas reservoirs, these approaches cannot provide the accurate results in presence of non-homogeneous complexities. This project is aimed to use numerical simulation and novel workflows to tackle the limitations of the current analytical methods. […]

Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been […]

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may […]

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software […]

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply […]