Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]

The proposed project contributes to the development of a product for use in public spaces to provide LED lighting which is made interactive through sound responsiveness. This sound responsiveness is made possible through the use of modern micro-computers which can be programmed to use sounds in the environment to create different lighting effects. Unfortunately, this […]

Mobile games have been dominating the Canadian video game industry over the past few years. However, the growing number of game releases creates an increased necessity to focus on quality in order to stick out of the mass. While storytelling has proven to greatly increase user engagement in PC and console games, it is rarely […]

Acquisition and tracking of human body is a key research problem in the fields of computer vision, computer graphics, and biomechanics. We propose a system that can used to create personalized human body model in normal room environment using just a single RGB-D camera. We want our system to be robust against illumination variations and […]

Virtual worlds, like Second Life, have been adopted by researchers to assess students’ understandings of the knowledge they have learned. Students’ performances of solving the challenges and quests in the virtual worlds can be treated as their overall mastery of the taught concepts and skills. However, the answers of the questions like “do they have […]

The ensemble of the human brain wiring configuration is known as the connectome. Using diffusion magnetic resonance imaging, we can approximate the connectome and use it to increase our understanding of normal function and of neuro-diseases. However, the complex interactions between each steps from brain images to the final wires give rise to many potential […]

Understanding the structure and connections in the brain is an outstanding research problem. Many diseases impact the structure and hence connections between them, analyzing which may help in detection and diagnosis of these diseases. In this project, we try to learn an atlas of major connecting fibers (tube like connections) for a group of people, […]

Machine learning focuses on writing computer programs that can ‘learn’ from data. This is becoming increasingly important, as we try to understand the huge amounts of complicated data we are collecting (both in academia and in industry). While machine learning is one of the key tools we use analyze large datasets, it often has trouble […]

Social media fraud (SMF) is the generation of fake likes, follows and views on online social networks such as Facebook, Twitter, YouTube and Instagram. It is used by individuals who wish to improve their visibility on online social networks. These individuals rarely have the skills and the know-how to do social media fraud; they instead […]

As senior numbers continue to grow so do the healthcare costs. In order to aid hospitals and senior care facilities in managing the health of seniors many new sensors are being developed with the aim of increasing operational efficiencies, reducing health care costs and improving the health of older adults by reducing risk factors that […]

Reconstructing the tree of life, which depicts the evolutionary history of today’s existing species, has been a central goal of evolutionary biology ever since Darwin. Each species is composed of a set of genes, which can be grouped into families. The DNA sequences of genes can be used to infer a gene tree for each […]

Datasets obtained from different sources are often heterogeneous: they do not share a common internal structure, even though they are nominally about the same subject matter. This makes reporting against datasets difficult without laborious, manual efforts to clean and transform the data. This project will investigate the feasibility of an approach to abstract the harvesting […]