Information technology rapid evolution was always closely followed by sophistication of malware. And with ubiquitous shift to mobile platforms, rise of mobile malware and in particular banking malware came as no surprise. In general, any financial operation on a mobile platform potentially exposes a user to the variety of threats including data leakage, theft and […]

Recreation Integration Victoria and the School of Public Health and Social Policy (at UVic.) will address critical issues around the health, fitness and social integration of persons with disabilities in the Victoria Capital Regional District (CRD). Our goal is to promote and facilitate increased fitness, physical activity and healthy living across the entire disability spectrum. […]

The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised […]

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

Ensuring data security in large data repositories is a challenging task as the volume and the nature of the data to secure constantly evolves. Large repositories are mostly composed of documents expressed in natural language and as a result they are a rich source of information. Given the importance of personal data protection, this proposal […]

Think Tank Innovations Ltd is a company active in the healthcare domain. The company is interested in expanding their current working system Sharesmart application by benefiting from advanced technology to develop an integrated environment for healthcare solutions in order to better service a wider community locally and globally. Students to be involved in this project […]

In the constantly expanding world of open source software and services, developers find it increasingly difficult to choose open source that is compliant, secure and reliable. There are millions of open source software and services publicly available today, and compliance, security and quality related information is extremely difficult for developers to find, making mindful selection […]

Stakeholders from all business sectors are increasingly looking to businesses to address pressing social and/or environmental issues. Co-operatives are facing the same challenges, and must also use non-financial indicators to demonstrate their co-operative difference. The purpose of this project is to develop a web-based searchable database of existing tools and frameworks to measure social and […]

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, […]

Users must decide which websites to trust and which to avoid. How can users know if a website is truly what it claims to be? This is a pivotal issue. When attackers can convince users to trust their sites, though phishing or other strategies, user security and privacy are easily compromised, malware can be downloaded, […]

The primary goal of this project is to explore a variety of new and existing Natural Language Processing (NLP) techniques to improve the performance, and further the automation of, Knote’s text analysis software – specifically with entity recognition. Entity recognition is the process of identifying all groupings of words in a collection of documents that […]

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform. Image style classification is the […]