Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Identifying potential approaches to managing water resources in Champagne and Aishihik First Nations’ Traditional Territory, Yukon

Yukon Energy Corporation (YEC) began generating hydro-electricity at the Aishihik Hydro Facility, situated within Champagne and Aishihik First Nations’ (CAFN) Traditional Territory, Yukon, in 1975. Their continuing water use license will expire in 2019. Notwithstanding the Aishihik facility’s 41 years of energy production, CAFN has repeatedly expressed social and environmental concerns associated with the facility’s operation. This proposed work will identify potential approaches to addressing community concerns, enhance cooperation between CAFN communities and YEC, and develop a receptive framework for incorporating traditional knowledge in water management decision-making processes. It ensures not just timely relicensing but also effective long-term co-management of the water resources with CAFN that the Aishihik Hydro facility depends on. Moreover, these developments create opportunities for YEC to learn and adapt as an organization. This research will also document and enhance YEC’s ongoing institutional learning, enabling YEC to make the most out of these significant opportunities.

View Full Project Description
Faculty Supervisor:

Douglas Clark

Student:

Sujata Manandhar

Partner:

Yukon Energy Corporation

Discipline:

Environmental sciences

Sector:

Energy

University:

Program:

Accelerate

The effects of X-Act Compression garments technology on muscle fatigue, active and passive joint torque and performance

There are many compression garment products on the market claiming to improve some aspect of performance, however their claims are not validated with empirical data. In fact, current literature regarding the benefits of compression garments on cardiovascular and biomechanical performance is controversial; with many results suggesting non-significant or even negative effects provided by the compression garment. Per4ma Sports Technology has designed and developed their own line of compression garments with a unique arrangement of elastic support, intended to provide targeted compression and facilitate movements while applying restrictions at potentially damaging end ranges of motion. The objective of this research project is to evaluate the benefits of the Per4ma compression garments on biomechanical and cardiovascular variables when compared to either a control and/or market-leading compression product. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Benno Nigg

Student:

Chris Lam

Partner:

Per4ma Sports Technology Ltd

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

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. The main goal of this internship would be to perform a diagnostics analysis to gain insight over how machine learning and statistical analysis approaches can help credit union industry have a better understanding of their customers and be able to model their customer behaviours and therefore provide better services for them.

View Full Project Description
Faculty Supervisor:

Frank Maurer

Student:

Mahshid Marbouti

Partner:

Celero Solutions Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Validation and Development of Clinically Relevant Copper Complexes for the Treatment of Bacterial Infections

Nearly 70% of all drug candidates are not pursued for pharmaceutical development because they cannot be dissolved into solutions appropriate for human use. Cuprous Pharmaceuticals Inc. (CPI) recently discovered that some of these drugs could be dissolved in the presence of certain metal ions. Furthermore, a number of metal-drug complexes are more therapeutically active than their metalfree counterpart. Using its proprietary MetaplexTM technology, CPI can overcome these solubility issues by synthesizing metalcompound complexes inside liposomes (spherical structures 100 times smaller than a red blood cell). This nanotechnology will enable the pre-clinical and clinical evaluation of a new class of therapeutics that was previously impossible to investigate for many disease indications.
The proposed project involves characterization and optimization of approximately 30 different Metaplex formulations for treating tuberculosis and bacterial infections involving drug-resistant “superbugs”. The effectiveness of these formulations will be tested against clinically-relevant strains of superbugs. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Chris Orvig

Student:

Ada Leung

Partner:

Cuprous Pharmaceuticals Inc

Discipline:

Chemistry

Sector:

Nanotechnologies

University:

Program:

Elevate

Quantifying Fishway Passage Success of Alewife, Alosa pseudoharengus, and its relationship to Marine Nutrient Transfer from the Ocean to Freshwater Ecosystems

Alewife (Alosa pseudoharengus) is a key species in the ecology of the upper Bay of Fundy, Canada, that provides food to numerous predators and scavengers. Each year, Alewife migrate into freshwater systems to spawn in lakes. Dams and fishways often impede the migration of Alewife, which can have detrimental effects on Alewife populations, as well as nutrient exchange between marine and freshwater ecosystems. I will be using electronic tagging and tracking technology to assess fish passage through three fishways in Nova Scotia and New Brunswick, to determine if the Alewife populations that use these river systems to spawn are negatively affected by dam and fishway presence, and which fishway design is the most effective. I will also be analyzing sediment cores taken from Alewife spawning grounds, to measure historical productivity changes, and to determine if dam and fishway installations negatively affected nutrient exchange, and spawning habitat suitability.

View Full Project Description
Faculty Supervisor:

Michael Stokesbury

Student:

George Nau

Partner:

Ducks Unlimited Canada

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

Predicting Canadian Credit Union Financial Performance and Its Effect on IT Investment Decisions

The aim of this project is to develop an understanding of Canadian credit union financial performance and its effects on IT investment. The outcomes of this research will enable the partner organization, a fintech firm, to better serve its credit union clients, and to anticipate changes in their business environment. The desired outcome of this project is to help credit unions and the partner organization be better positioned to make strategic business decisions. This two stage project will involve the identification of credit union performance measures and factors affecting those performance measures as assessed through secondary and primary data. It will also determine the relationship between credit union performance and decisions on IT investment.

View Full Project Description
Faculty Supervisor:

Eman Almehdawe

Student:

Manish Lamsal

Partner:

Celero Solutions Inc

Discipline:

Engineering

Sector:

University:

Program:

Accelerate

A Computational Modelling Framework for Evaluation of Pandemic Vaccine Strategies

Medicago, a clinical-stage biopharmaceutical company, has the potential to rapidly develop a vaccine in response to a newly sequenced influenza strain, allowing for large-scale vaccination of the population very early during a pandemic. The company would like to know how many doses of vaccine is required and what distribution strategies should be used to maximize population-wide benefits of vaccination in the event of an influenza pandemic. We will use our agent-based model to determine the required number of vaccine doses and distribution rates under constraints of vaccine manufacturing capacity and delivery. We will communicate the outcomes of this project with Medicago, so that effective communications can take place between Medicago and its customers worldwide. In addition to mitigating the negative effects of a pandemic on the Canadian economy, Medicago will use this technology to improve its market share and to become more competitive nationally and internationally.

View Full Project Description
Faculty Supervisor:

Marek Laskowski

Student:

David Champredon

Partner:

University of Guelph

Discipline:

Medicine

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Achieving aspirations of Canadian aboriginal communities through participatory cultural mapping and dynamic decision modelling

The aspirations of aboriginal communities are a critical part of decision making regarding land and resource use, policy and community development, and strategic planning. To help achieve aboriginal aspirations, this project aims to develop, apply, and evaluate a novel approach to aid aboriginal community decision making and solution creation/implementation. This approach builds upon current research with the Heiltsuk Nation of Bella Bella, BC, who will be the project’s partner community. This project will use participatory action research techniques to: 1) identify community aspirations and assets, 2) spatially represent community assets, 3) co-develop housing options towards achieving aspirations, and 4) implement and assess the selected housing options. Benefit to Partner Organization: The post-doctoral researcher, under the mentoring of the principal investigator, will develop strong academic skills in participatory research and hands-on experience helping Aboriginal communities achieve their goals. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Christopher Gaston

Student:

Stefania Pizzirani

Partner:

FPInnovations

Discipline:

Forestry

Sector:

Aboriginal affairs

University:

Program:

Elevate

Social welfare systems analysis of road capacity expansion options

Cintra Canada Inc. has conducted several research studies on the advantages of implementing managed lanes (lanes where operational/management strategies are implemented in response to varying travel demand/supply conditions) with the focus on the travel speeds, road capacity, and air quality benefits. However, no study to date, has conducted a comprehensive analysis of the system-wide welfare benefits/costs of managed lanes. Cintra, as one of the major providers of managed lanes in North America, is eager to understand the fundamental and broader implications of various managed lane options. With the help of three intern-students and through the partnership between Cintra Canada and the PI (Omid M. Rouhani), we will examine the system-wide impacts of managed lanes projects, taking into account various pricing options (fixed, time-varying, and dynamic tolls), funding options (general taxes or user fees), and types of provision (private or public).

View Full Project Description
Faculty Supervisor:

Omid Rouhani

Student:

Kotaro Sasai

Partner:

4352238 Canada Inc

Discipline:

Engineering - civil

Sector:

Automotive and transportation

University:

Program:

Accelerate

Sustainability Employee Engagement Research Project

In the summer of 2017, GM of Canada will be launching several employee engagement campaigns pertaining to sustainability goals. This project will determine how the control of different variables could lead to more or less employee engagement. These variables include the communication medium, the reward mechanism, and the depth of technical detail. By better understanding of what communication practices lead to effective employee engagement, GM can better tailor future sustainability campaigns to bring about larger impact.

View Full Project Description
Faculty Supervisor:

Patricia Corcoran

Student:

Dana Dinardo

Partner:

Western University

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Effect of Different Carbohydrate Sources on Starch Fractions and Glycemic Index in Commercial Extruded Dog Diets

Obesity and diabetes are leading nutrition-related disorders among pets in North America and have significant impacts on animal morbidity and mortality. The glycemic index, a measure of post-prandial blood glucose response, has been shown in humans to significantly impact glucose control, insulin sensitivity, weight management, and chronic disease risk. In pets, the effects of carbohydrates on health is an area of debate, though there is currently a lack of data to back up claims. The goal of this research is to examine the effect of different carbohydrate sources on glucose metabolism and relate this to the starch types present. This study will examine the amount of each starch fraction (slowly digestible, rapidly digestible or resistant starch) available in four extruded dog diets containing different carbohydrate sources, and predict their glycemic index in-vitro.

View Full Project Description
Faculty Supervisor:

Adronie Verbrugghe

Student:

Alexandra Rankovic

Partner:

University of Guelph

Discipline:

Medicine

Sector:

Agriculture

University:

Program:

Accelerate

Three-dimensional Object Pose Estimation

Estimating poses of three dimensional (3D) objects is of great importance to many high level tasks such as robotic manipulation, scene interpretation and augmented reality. Detecting poorly textured objects and estimating their 3D pose is still a challenging problem. The objective and expected result of this research is to develop a systematic and applicable approach that could detect poorly textured 3D object pose. The proposed method is using state-of-the art deep learning in computer vision. The proposed research is related to the interns PhD research and is an ongoing research for the partner organization. The collaboration could tie industry expert and academia, and turn many concepts to commercialization, and bring ideas/theories to life and real applications.

View Full Project Description
Faculty Supervisor:

Clarence de Silva

Student:

Lili Meng

Partner:

Vancouver Computer Vision Ltd

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Previous
1…671672673674675676677…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe