Cooperative economy in the era of collaborative economy platforms

This project's overarching goal is to spur cooperative enterprises to move into the collaborative economy. Even though the "collaborative economy" shares many values with cooperative enterprises, too few of them have entered the pace in Quebec and Canada, but also globally. This paradox puzzles Quebec's cooperation and mutuality council (CQCM). They want to reverse this trend and help old and new cooperative companies to offer services linked to the collaborative economy platforms. In order to do so, the CQCM want to know why there is such a paradox, and how to act upon it.

Statistical Machine Learning Framework in Retention and Attrition Modelling

Customer or member retention refers to the ability of a company to retain its customers, and customer attrition, as the counterpart of customer retention, refers to the loss of customers.

Strategy and legitimation in blockchain innovations and multisided markets

This research project will work with Canadian start-up 6Sensmatic in two areas: building a digital marketing platform and exploring strategic opportunities related to the blockchain; a digital ledger technology that underpins cryptocurrencies such as Bitcoin. First, the intern will help 6Sensmatic design, develop, prototype and analyze a novel digital marketing platform that will connect firms to social media influencers that can advertise their products.

Development of Computer Vision-based Intelligent Control System for Drones

In recent years, the small-scale drones have gained a growing interest in industry and in academia since they are widely available and have many potential applications. The integration of intelligent camera into drone systems broadens the range of potential drone applications and enhances the performance of the drone. However, how to design and implement the computer vision-based control algorithms on the drone with limited computational resources is very challenging.

Advancing Data Science Research for Social Good

Due to rapid development of technology, such as the Internet of Things, collecting data is easier and cheaper than ever before. As a result, municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets, which are often unstructured and “dirty” (i.e., incomplete, inaccurate, and/or erroneous).

Assessing and improving the performance of quantum annealing processors

Quantum computers are believed to offer significant advantages over classical computers, specifically in solving non-deterministic polynomially hard problems. One of the known schemes of quantum computation is quantum annealing, which is suitable for solving many types of hard optimization problems with a wide range of applications including machine learning, finance, security, and healthcare. D-Wave Systems Inc. develops the only commercially available quantum annealers, which are being successfully applied to solve certain types of problems.

Creating moments for shoppers: Impact of time on effectiveness of notifications

Over the last recent years, internet usage through mobile devices has grown rapidly and today, majority of the online traffic is coming from mobiles. This means that most of the time, a user uses his/her mobile to view the retailer website, review items or finish a purchase. Accord ingly, reta ilers have come to the idea of building a platform that would engage and re-engage users through pushing notification. However, there are multiple factors such as time of a day that a retailer would takes into account to send out notific.ation.

Electric bus demonstration and integration trail

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related GHG emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. This project aims to overcome the social and technical challenges associated with a lack of international standardization for overhead charging systems.

Global ground stability mapping with radar satellites

3v Geomatics (3vG) processes tens of thousands of radar satellite images annually to measure ground stability over time. The image processing pipeline demands very high storage and computation resources. The goal of this project is to enhance this pipeline so it can deliver better results faster. First, the project will profile and identify efficiency bottlenecks of the pipeline. This will be followed by design and development of novel approaches to enhance pipeline efficiency.

Combining Internet of Things (IoT) technologies to understand product and consumer behavior in retail environments

The project is about developing a «smart store» system that will allow understanding customer and product behavior. This system will be based on Internet of Things (IoT) technologies allowing any object (product or person) to communicate automatically with its environment. Hence, our system will be used for tracking items and monitor consumer behavior in real time. In a retail environment, we will be able to answer questions such as (i) How many times an item has been picked up or tried by a customer? (ii) How long the item stayed off the shelve?