Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Fraud Prevention in Real-Time B2B Payments Using Streaming Algorithms

The Pungle payments-as-a-service platform delivers low cost, real-time, friction free business disbursements, peer-to-peer (P2P) transfers, and B2B supplier payments. Pungle’s mission is to enable businesses with a digital payments platform that provides real-time disbursements and transfers. The problem that arises with digitization of business payments is higher risk for fraud due to its electronic nature. Therefore, there’s a need to be absolutely certain that both the sender and recipient of payments are the intended parties and that there are no anomalies in payment volume and frequency. This project is to build a streaming data pipeline, including data warehousing, that will allow us to log and persist transaction data for both audit trails and as a data set with which we will then develop and train real-time fraud prevention system using the latest research in streaming / machine learning algorithms.

View Full Project Description
Faculty Supervisor:

Richard Zemel

Student:

Partner:

Pungle

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Privacy Enhanced Decentralized Identity System

Currently, some public and private organizations have implemented various identification verification solutions to manage identity authentication. The idea of using a third-party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have their benefits as they can only be connected once in a federated identity ecosystem. While the deployed identity brokerage system has provided participants with great utility, it was pointed out that the principles they designed had several security and privacy gaps. The potential weakness of the federated identity access system comes from a central observation point. It is clear that the federal identity ecosystem needs to evolve to meet the challenges described. In our research, the goal of the project is to establish a decentralized system to solve the identified problems.

View Full Project Description
Faculty Supervisor:

Marsha Chechik

Student:

Partner:

SecureKey Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of a Bidding simulation environment

Addictive Tech Corp is a fast-growing ad-tech company. They use real-time advertisement bidding software which is massive and sophisticated. The actual dynamics involved in any given bid are complex and hard to predict. This makes writing test logic for such a system cumbersome and catching all corner cases next to impossible. Because of the scale of operations, understanding the environment in which the bidding software operates is difficult. This is problematic as such software needs to be highly optimized to be competitive. Creating a simulation of the environment the system operates in allows for a controlled study of said system and environment. Having fine-grained control over environment parametrization in the simulation will make testing and analysis more streamlined.

View Full Project Description
Faculty Supervisor:

Cristiana Amza

Student:

Partner:

Addictive Tech Corp

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Cognitive Risk Sensing Using Deep Learning

CRISP is an international Deloitte development initiative aimed at helping some of our largest clients understand and managed corporate risk. CRiSP stands for “Cognitive Risk Sensing”, and it centers around using large sources of mostly unstructured data (i.e. 10% sample of all of Twitter, thousands of news aggregators, etc.) to understand and forecast risk for the clients. The goal for the student is to apply new methods in machine learning, data mining and natural language processing to extract user opinion of products from social media and customer feedback. The challenge is that such data is very large in volume and may be sourced from multiple distinct domains.

View Full Project Description
Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

Deloitte Consulting (Toronto, ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Sex: It’s a matter of the heart

Heart failure is a complex cardiovascular disease with increasing global burden while the prognosis for patients remains poor. Risk factors and the type of heart failure differ between men and women. These differences can be due to sex – referring to biological differences – or gender – referring to social differences. In our project we will study the role of genetics in the different types of heart failure in men and women, using models that distinguish the contribution of both sex and gender. We will use genome-wide genotyping data from two AstraZeneca randomized clinical trials, the Montreal Heart Institute and the United Kingdom Biobanks, totaling >10,000 heart failure patients.
The partner organization, AstraZeneca, will benefit from a better understanding of the genetic, sex and gender specific determinants of heart failure which can lead to a better definition of patient subgroups driven by distinct mechanisms and may ultimately lead to new improved therapeutic interventions.

View Full Project Description
Faculty Supervisor:

Marie-Pierre Dubé

Student:

Partner:

AstraZeneca Canada Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Les impacts des pratiques de gestion en santé et mieux-être au travail sur le profil de réclamations d’assurance des entreprises

Ce projet de recherche vise à mesurer le lien entre les pratiques de gestion en santé et mieux-être au travail, incluant l’utilisation de la technologie Dialogue, avec le profil de réclamations d’assurance des entreprises. Pour ce faire, un échantillon représentatif des 1 000 entreprises couvertes par SSQ Groupe Financier qui aura accepté de partager ses données en lien avec son profil de réclamations d’assurance sera d’abord sondé par questionnaire. Ce questionnaire visera à recueillir à la fois de l’information sur les pratiques de santé et mieux-être au travail et la capacité à changer des entreprises sondées. L’équipe cherchera ensuite à mettre en relation la maturité organisationnelle des entreprises sondées en termes de pratiques en santé et mieux-être avec le profil de réclamations d’assurance des entreprises, à savoir le taux de réclamations, les durées d’absence au travail (court terme ou long terme) et les coûts directs et indirects. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Denis Chênevert

Student:

Partner:

SSQ, Société d'assurance-vie Inc;Dialogue Technologies Inc.

Discipline:

Business

Sector:

Finance and Insurance

University:

HEC Montréal

Program:

Accelerate

Hand Hygiene Tracking Prototype Development

SafeContact is a Hospital Acquired Infection (HAI) prevention and reduction Platform-as-a-Service (PaaS) company. We are tackling the global HAI epidemic by tracking the source of HAI spread using a unique technological concept in the marketplace. SafeContact is building a smart healthcare platform that combines traditional techniques with the latest advancements in technology: Computer Vision, Artificial Intelligence, Internet of Things devices, Big Data, and Machine Learning to monitor hand hygiene behavior for lasting impact on patient safety. This project will assist SafeContact with prototyping to track hand hygiene events in a healthcare setting. The completion of this project will allow SafeContact to secure Venture Capital to commercialize the hand hygiene methodology and business model, which will benefit not only Alberta but also other provinces. While initially targeting at healthcare services, eventually this platform will be available in other sectors, e.g. restaurants and other food supply chains, worldwide, bringing economic and technological benefits to Canada.

View Full Project Description
Faculty Supervisor:

Irene Cheng

Student:

Partner:

SafeContact Solutions Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Visualization of gene structures, phylogenetic trees, and RNA structures

Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have become very fast at data visualization, creating more opportunities to share bioinformatics results on the Web. This project combines comparative genomics expertise from the CoBIUS lab at UdeS with visualization techniques expertise from the data visualization company Plotly. The project aims at developing interactive tools to compare and visualize gene structures, phylogenies, and RNA structures that include important information from the underlying biological data and facilitate the handling of bioinformatics results. UdeS researchers will benefit from Dash, Plotly’s software for enabling Web data visualization in Python. Plotly will benefit from new bioinformatics applications that use Dash.

View Full Project Description
Faculty Supervisor:

Aïda  Ouangraoua

Student:

Partner:

Plotly Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Creation of an AI framework for the Restorative Action Program

The Restorative Action Program (RAP) is an incorporated, community-based initiative that provides support to students and staff within public and Catholic school systems, to address conflict and bullying through conflict management and leadership development. The organization has been in existence since 2003 and is currently serving approximately 9,000 students per year and growing. The addition of an intelligent analytical platform will help move the program forward. The main goal is to start quantifying various aspects of their programming that are currently impossible given the constraints that exist within small not-for-profit organizations. Through this project, students, counselors and other small not-for-profit organizations across Canada will gain access to utilities only large organizations can afford.

View Full Project Description
Faculty Supervisor:

Susan Blum;Terry Peckham;Cyril Coupal

Student:

Partner:

Restorative Action Program

Discipline:

Computer science

Sector:

Education

University:

Saskatchewan Polytechnic

Program:

Accelerate

Decision making with rich ontologies for minerals exploration

Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great potential in all aspects of minerals exploration. The project has two aspects, the first is to learn symbolic descriptions of lineaments (e.g., faults) from sensor data, and the second is to use such symbolic descriptions (from sensor data and from human observations) to make better informed decisions. The is challenging because the observations use technical terms from multiple ontologies, and parts of the world are described at multiple levels of abstraction (in terms of subtypes) and detail (in terms of parts), and the descriptions often include missing data.

View Full Project Description
Faculty Supervisor:

David Poole

Student:

Partner:

Minerva Intelligence Inc

Discipline:

Computer science

Sector:

Natural Resources; Technology; Mining

University:

The University of British Columbia

Program:

Accelerate

Mobile Application Support for an Outdoor Agriculture Expo’s Temporary Cluster Functions

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective communication between participants to maximize the potential of this concentration is important and challenging. This project will identify and address the challenges of a large outdoor venue to test the effectiveness of a mobile application in supporting knowledge transfer and participant interaction. Glacier Farm Media will benefit from this project through the ability to offer new services that benefit both the participants and guests of agricultural expos.

View Full Project Description
Faculty Supervisor:

Susan Blum;Terry Peckham;Kelvin Boechler;Cyril Coupal

Student:

Partner:

Glacier FarmMedia

Discipline:

Computer science

Sector:

Agriculture and Food; New and Digital Media; Information and Communications Technology

University:

Saskatchewan Polytechnic

Program:

Accelerate

Structure of sediments formed in tailings treatment

This project will combine filtration characterization and advanced 3D imaging and modelling of material structures to find ways to improve the recovery of process water from difficult-to-treat tailings that are the by-product of mining and mineral processing. This process is called solid-liquid separation and it is a critical area for the reduction of oil sands tailings volumes. Due to the chemistry and solids composition of oil sands tailings, they are extremely resistant to dewatering. Attempts to improve solid-liquid separation in these systems have been pursued by practitioners and researchers in the form of a variety of chemical and mechanical treatment methods. Despite modest gains and comparative improvements in water recovery and ultimate material performance, no mature technology has been developed that adequately addresses the dewatering imperative imposed by environmental, social, and economic factors. This project suggests a novel approach to characterizing tailings suspension that may be the basis for the development or improvement of solid-liquid separation treatment methods and technology.

View Full Project Description
Faculty Supervisor:

Marek Pawlik

Student:

Partner:

BC Research Inc.

Discipline:

Engineering

Sector:

Mining; Natural Resources; Environmental Science and Technology

University:

The University of British Columbia

Program:

Accelerate

Previous
1…2,3812,3822,3832,3842,3852,3862,387…2,513
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe