Innovative Projects Realized

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

30508 Completed Projects

2882
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5105
BC
825
MB
681
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860
SK
9051
ON
9491
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97
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586
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1141
NS

Projects by Category

Predicting Reactions with Controlled Errors

Given a group of molecules and a specification of reaction conditions, do chemical reactions occur? If so, what products are produced, and what is their relative abundance? This problem pervades chemistry, with applications in environmental science (e.g., the degradation of pollutants), molecular sensing (e.g., interpreting the results of tandem mass spectrometry), chemical synthesis (e.g., finding efficient ways to synthesize drug molecules), and energy-efficiency (characterizing molecular combustion). Such problems are usually addressed by nearly exhaustive experimental and/or computational characterization techniques, both of which are extremely costly in terms of time, money, and human resources. We aim to use a data-science approach, so that these previous experimental/computational works can be leveraged to make predictions of likely chemical reactive pathways. One important innovation is to make these predictions in a controlled way, with error estimates so that future experimental/computational studies can be focused towards reactions where the model is highly uncertain, and redundant work can be avoided. Other innovations include using reactivity indicators to construct rich molecular representations and representing chemical reaction networks as hypergraphs.

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Faculty Supervisor:

Paul Ayers

Student:

Partner:

Sorbonne Université

Discipline:

Physics

Sector:

Artificial Intelligence; Quantum Science

University:

McMaster University

Program:

Globalink Research Award

Chemical and biological conversion of mussel processing by-products into new value streams in agriculture

Atlantic Canada’s fishery industries have been identified as key sectors where market demand is expected to increase. PEI mussel and shellfish production employ over a thousand employees, and contributes in excess of CAD$60 million to PEI’s coastal and rural communities. Production of Atlantic Canadian shellfish has tripled since 1995 and is expected to continue growing rapidly. Prince Edward Aqua Farms Inc., is one of the largest mussel and oyster producers in North America, generating 9,072 tonnes of mussels annually which results in 2,770 tonnes of solid waste by-products. Waste disposal is a serious economic and environmental burden that can cost the industry upwards of $888,410 each year. Landfill disposal of these by-products may also result in higher greenhouse gas emissions and represent a loss of valuable natural resources. Dalhousie University’s Innovative Waste Management Group aims to work with PE Aqua Farms to identify economically and technically viable pathways to create value from mussel by-product solid waste streams, including composts, biochar, and alternative agricultural liming amendments.

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Faculty Supervisor:

Gordon Price

Student:

Partner:

Prince Edward Aqua Farms Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Modeling Strong Electron Correlation with AC-ERPA

In order to understand how chemical bonds fracture and form, and to predict how electrons rearrange in photoactive materials, one must describe the electron structure of the substances. This requires evaluating a quantum-mechanical model for the system. Unfortunately, accurate quantum-mechanical models require enormous computational resources, and can only be applied for tiny systems. For systems of chemical importance and technological relevance, “single-reference” quantum-mechanical models are used, but these standard methods are often unreliable, and frequently fail catastrophically for important classes of systems, including molecules containing unpaired or weakly-paired electrons and materials containing delocalized electron pairs or strongly localized unpaired electrons. Solving this problem requires extending single-reference methods: the host group (Katarzyna Pernal) has pioneered extensions of the random phase approximation and the adiabatic connection beyond their normal domain (single-reference Kohn-Sham density functional theory). The aim of this visit is to generalize the host group’s techniques to treat strong electron-pairing phenomena (e.g., for describing high-temperature superconductors and chemical catalysis).

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Faculty Supervisor:

Paul Ayers

Student:

Partner:

Lodz University of Technology

Discipline:

Physics

Sector:

Quantum Science; Other

University:

McMaster University

Program:

Globalink Research Award

Advance Generalizability of Graph-based Machine Learning Models for Applications Automotive Metal Forming and Impact

In modern automotive engineering, vehicles are primarily designed in the virtual space to enable a rapid vehicle design process. However, this process is heavily constrained by the time and computational requirements necessary to generate the vast number of simulations needed for vehicle design. Fortunately, modern machine learning (ML) techniques may be used to dramatically accelerate the generation of new simulation results. In this project, several recently developed ML frameworks will be applied to industrially applicable metal forming and impact problems to speed up the vehicle design process. The ML models developed will maintain high accuracy in key performance indicators over a range of geometries, material parameters, and process parameters. The technology developed in this project will underpin the simulation framework that Impact AI is developing to provide its customers with the ability to significantly accelerate impact and stamping simulations as used in the automotive industry.

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Faculty Supervisor:

Cliff Butcher;Kaan Inal

Student:

Partner:

Impact AI

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Advanced Adaptivity and Personalization in Learning Systems through Collaborative Recommendations

Learning Systems are among the most popular e-learning tools in today’s education and training. Most e-Learning systems do not take into account individual aspects of learners (e.g., their goal, experiences, existing knowledge, learning style etc.).The primary goal of the proposed research is to offer rich adaptivity by combining information from a learner’s profile (e.g. levels, goals, learning style, cognitive abilities etc) with the information from other learners sharing common interests. Based on this combined information, advanced personalized recommendations can be provided, increasing efficiency, performance and learner’s satisfaction. The proposed research will have numerous benefits to the company: (1) Training and learning would become more accessible, to the benefit of employees in small to large -scale enterprises as it will offer unique learning experiences that fully engage and support users (2) It will help in improving and increasing the basic skills of employees, providing the organization with a competitive advantage and hence, will be used to build workforce capability

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Faculty Supervisor:

Sabine Graf

Student:

Partner:

Athabasca University

Discipline:

Computer science

Sector:

Education

University:

Athabasca University

Program:

Elevate

Structural performance of Glass Fibre-Reinforced Polymer (GFRP) reinforced concrete tilt-up wall panels under out-of-plane loads

Glass Fibre-Reinforced Polymer (GFRP) materials have emerged as a promising material in civil engineering applications due to their superior characteristics such as light weight, high strength, durability, and resistance to corrosion. Thanks to these features, GFRP bars have been used in many civil infrastructure applications. However, there are still opportunities to benefit from this innovative material. Using tilt-up wall panel method in construction of houses, and commercial and industrial buildings is a popular alternative to cast-in-place, precast, or masonry construction methods. Tilt-up wall panels are conventionally reinforced with steel bars, which are susceptible to corrosion. Thus, GFRP bars have great potential to be a sustainable alternative reinforcement. The superior characteristics of GFRP materials would extend the life cycle of tilt-up walls and reduce the related construction and repair costs. Despite these advantages, there are no relevant design equations and recommendations in FRP reinforced concrete design codes and guidelines. Thus, this study will provide a unique set of data and will introduce new design formulations and recommendations for GFRP reinforced concrete tilt-up wall panels. The results would allow owners, engineers and contractors to benefit from GFRP bars as internal reinforcement in tilt-up walls to be safe under vertical and lateral loads.

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Faculty Supervisor:

Khaled Galal

Student:

Partner:

MST Rebar Inc.

Discipline:

Engineering

Sector:

Construction and infrastructure; Manufacturing

University:

Concordia University

Program:

Elevate

Optimization of Low-Cost, Low-Power Irrigation Control System Design

The project will be done in the context of a collaborative project between Prof. Jorg Liebeherr (UofT) and Prof. Maryam Shojaei Baghini (IIT Bombay) on designing a low-cost, low-power irrigation control system, which seeks to address poverty and rural development in India. IIT Bombay has developed a sensor system, called Soilsens, for measuring soil conditions on farms. The current Soilsens stations use cellular networks for data transmissions, which incur high recurring cost and high energy consumption. The joint project seeks to develop a low-cost low-power communication system for Soilsens, which adopts LoRa based wireless radios for data transmissions. The communication system is based on a self-organizing communication protocol, which is developed at UofT using LoRa technology. The system will reduce power requirements by having only one cellular station for 10-20 Soilsens stations. The Globalink project seeks to optimize parameters of the CottonCandy protocol for a deployment in large-scale irrigation systems.

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Faculty Supervisor:

Jorg Liebeherr

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Financial Analyst

The main goal of the project is to design and implement a new and improved financial and technical analysis strategy that would use historical trading protocols of the past 20 years. This would be done by researching how the knowledge of the operators can be codefide, automated, and integrated into the current technology platforms being used. Strategies and applications will be tested in a live environment where the outcome of the research and work will be assessed. The technology that will be used for the codification of the analysis and trading methodologies are APIs (Application Programming Interfaces).

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Faculty Supervisor:

Charles Scott

Student:

Partner:

Fieldhouse Capital Management

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Northern British Columbia

Program:

Business Strategy Internship

Opikihiwawin

New Directions, Opikihiwawin mission is to provide cultural education, support and advocacy to indigenous adoptees, and people. The pandemic as well as a fire in their building has caused engagement to decrease. I think that this project will help Opikihiwawin by increasing their attendance, getting more people engaged and bringing back cultural support. The organization’s participants would benefit from the assistance with the virtual venue development and the student’s development of a follow-up/engagement strategy that can be used regularly in the future by staff or volunteers.

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Faculty Supervisor:

Shauna MacKinnon

Student:

Partner:

New Directions

Discipline:

Business

Sector:

Education; Health and Related Sciences & Technology

University:

University of Winnipeg

Program:

Business Strategy Internship

A Supply Chain Traceability System for Seafood Distribution

In this project, we are going to design blockchain networks and design an interaction between IoT devices. In this way, we can update the location of tokenized asset which is our food product in this project. Blockchain network can provide traceability and transparency, so we decided to use blockchain because of these features. The partner organization goal is to provide the seafood customers with a suitable source by which they can check whether the product is mislabeled. This project will help the organization to get close to its goal which can increase the Canadians’ awareness about healthy and authenticated seafood products.

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Faculty Supervisor:

Victoria Lemieux;Ahmad Al-Dabbagh

Student:

Partner:

Traxe Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

Regulation of T-type calcium channel activity by targeting channel trafficking – a novel approach for pain management

Current therapies to manage pain either result in side effects or are insufficient and the associated medical costs and loss of work days come pose a tremendous socioeconomic burden. We recently showed that T-type channel activity is aberrantly regulated in inflammatory and neuropathic pain by the deubiquitinase USP5, and we have begun to explore this mechanism as a new therapeutic avenue based on interfering TAT peptides. We now plan to test our TATpeptides in diabetic neuropathy and inflammatory bowel pain. We also plan to generate additional TAT peptides to enhance efficacy in vivo and validate them at the cellular and whole animal level. Compared with ion channel blockers which often lack specificity, our approach specifically targets a process that is involved in aberrant upregulation of channel activity, while sparing normal channel function, thus reducing the risk of adverse side effects.

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Faculty Supervisor:

Gerald Werner Zamponi

Student:

Partner:

Innovate Calgary

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Elevate

Marketing/Sales Strategy (On-Premise – British Columbia-Focus)

River Oak Imports (ROI) – Sales/Marketing Strategy (on-premise)
River Oak Imports is focused on creating and distributing exciting liquor brands to key markets across the globe. Based in beautiful Alberta, Canada, we are a family-owned company that takes immense pride in the brands in our portfolio.
Our brands aren’t just bottles, they are experiences. We combine beautiful branding and delicious liquid to create unforgettable tasting experiences.
Our current activities are focused on whisky, gin, and white wine spritz.
The intern will be a key team member of a start-up company, focusing on launching Premium Liquor Brands, including Distribution and Sales. The Sales/Marketing Strategy will be focusing on creating a larger presence of our local brands in Alberta. ROI is Edmonton, Alberta based looking to execute a 3-year plan for Sales/Marketing Strategy to expand our brand’s border to border for Alberta. The intern will have a main focus on the current Brand Mountain Pass Canadian Whisky. Mountain Pass has expanded to British Columbia and is expanding to the United States, and the applicant will be a key member in focusing and growing partnerships within Alberta at locations. ROI has several other brands launching over the next year years, and the plan being executed will

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Faculty Supervisor:

Ryan Young;Kennedy Clayton

Student:

Partner:

River Oak Imports Ltd.;The Fort Distillery

Discipline:

Business

Sector:

Wholesale trade

University:

Northern Alberta Institute of Technology

Program:

Business Strategy Internship

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