Data supervision and security in large data repositories

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 explores new methods to mine networks of communications between users and detect improper dissemination of sensitive information.

An Integrated Mobile Communication Environment for Healthcare Professionals and Patients: Analysis, Prediction and Recommendation

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 will build a data repository to host data to be collected, cleaned, built, integrated and processed for knowledge discovery which will guide more focused decision making.

Advanced Analytics for Credit Unions

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 well to be able to proactively offer their products and services according to their customer needs.

Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

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 gives us rich information that people can use to improve their form. However, generating the expert models is quite hard, and it’s not always easy to understand how to actually compare users and experts.

Leisure Access Victoria: Recreation Accessibility Website, Apps and Tools

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.

Security assessment of mobile financial services

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 financial loss. Driven by financial profits, banking malware leverages user's cluelessness, openness of mobile platforms, often a lack of security measures.

Collaborative Service Robot in a Group Home Environment of People with Developmental Disabilities

The vision of this proposed project is to design and build a collaborative service robot that will help people with developmental disabilities (DD) reach their personal goals and achieve greater independence, using existing and new technologies. This will allow the industry partner, JDQ, to advance the type of services provided to people with DD and their caregivers in a group home environment, through its partnership with Developmental Disabilities Association (DDA).

Junior hockey competence analytics

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next.
The hops happen mostly gradually, depending on the capacity of the user, punctuated by dramatic jumps. Analytics identifies such scenarios where dramatic jumps are necessary and offers the information needed to enact such jumps.

Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of the art technology in classifying modes of transportation (e.g.

Using Deep Convolutional Neural Networks to predict compound-target interactions

Getting a new drug from the laboratory into the market is a lengthy and costly process which takes on average 12 years and over US$350 million to accomplish. It is composed of roughly 3 phases: (1) pre-clinical research, (2) clinical studies, and (3) the new drug application review. In this work, we propose an artificial intelligence system which will shorten the time it takes for pharmaceutical companies to identify novel drugs (compounds) for a given target (usually a protein or a protein complex).

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