The QWeMA division of CANNEX develops solutions for the financial and insurance industry of North America. Our analytics play an important role in determining the value proposition of investment products. Our solutions help the financial community and public through their financial advisors to be able to make informed decisions. We work at the intersection of […]

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 […]

Robots are increasingly seeing use in manufacturing. However, current robot technology is not sufficient to perform all tasks. Researchers have proposed using human-robot collaborations to exploit robots’ ability to do repetitive and boring jobs and the ability of human workers to perform fine-motor skills in unstructured environments. In the proposed research, we consider algorithms to […]

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks […]

Dental implants are commonly used to replace missing teeth. There are several surgical techniques used with bone replacement materials to achieve alveolar bone regeneration. Dicalcium phosphate cements such as monetite, are synthetic materials made very easily and get removed as bone is regenerated within or around them. C3 is a novel drug that is a […]

The performance of non-precious metal catalysts (NPMCs) for proton exchange membrane fuel cell (PEMFC) has now reached a stage at which they can be considered as possible alternatives to expensive Pt, especially for low power applications. However, despite significant efforts on catalyst development in the past, only limited studies have been performed on NPMC-based electrode […]

Cellphones get notifications from different companies every day, but we do not know whether these notifications have a significant impact on customers’ behaviour. Knowing the impact of these notifications would provide useful insights to marketing strategists. Since user behaviour will determine the efficacy of push notifications, this project initially aims to build a behavioural model, […]

Aluminium smelter are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate […]

Mobile health (mHealth) apps allow patients to practice self-care and manage their chronic diseases. Common functions in mHealth tools allow users to monitor their symptoms and mood, keep a thought diary, track medication use and trend information; this provides data that can be used to better understand patient behaviour to ensure that patient needs are […]

The Government of Canada is in the process of reviewing legislation and procedures related to environmental processes, e.g. the Canadian Environmental Assessment process (CEAA) and the National Energy Board process (NEB). Indigenous groups across Canada have participated in engagement sessions, and made formal written submissions which have been made publically available. This research project will […]

Based on 7 years of R&D, Secodix has developed a processor, the XPU, that is faster by two orders of magnitudes compared to existing processors. To leverage the technology, we need to provide software programmers the ability to use existing programming languages (in particular, C++) while benefiting from XPU performance. To enable that, we need […]

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]