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

Development of a Diclofenac Sodium Quick Kit for FoamaDerm™

The new regulations for pharmacies had catastrophic consequences for the ability of normal pharmacies to compound prescribed preparations for patients using drug powders. Most pharmacies have stopped to offer compounding services at all. This leaves a gap in the ability to provide timely access to needed medicines. The proposed research work will develop an individually packed drug solution which can be filled into compounding bases. Pharmacies will be able to compound with this Quick Kit again without the need to invest into expensive clean room facilities because no drug particles will be air born when a solution is filled in to a solution. With the Quick Kit pharmacies will be able to provide patients with prescribed preparations in a safe and timely manner.

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Faculty Supervisor:

Neal Davies

Student:

Jieyu Zuo

Partner:

RS Therapeutics Inc

Discipline:

Pharmacy / Pharmacology

Sector:

Manufacturing

University:

University of Alberta

Program:

Development of novel oromucosal formulation based on a filmstrip technology for the delivery of psychedelic medications

New evidence about psychedelic remedies has increased the number of patients who potentially can benefit from therapies using these drugs. In clinical trials worldwide, the findings are reported on psychedelic medications for treating illnesses such as addiction, depression, anxiety, and mental health conditions like post-traumatic stress disorder (PTSD). If psychedelic drugs are orally administered, the bioavailability can significantly decrease due to the first-pass metabolism of the liver. Therefore, to reach an optimum plasma concentration, the oromucosal route of administration, which is not subject to the first-pass metabolism, can be an innovative approach to improve the therapeutic effects of psychedelic substances. The aim of this research is to establish an oromucosal delivery platform for psychedelic molecules. In vitro simulated oromucosal test system will be developed to estimate the performance of mucosal delivery. The proposed research will give new insights into the potential of future alternative formulations of psychedelic-based medicines that might help many patients.

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Faculty Supervisor:

Raimar Loebenberg

Student:

Chulhun Park

Partner:

Applied Pharmaceutical Innovation

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Isocyanate Assessment and Control at Construction Worksites

Inhalation of Respirable Crystalline Silica (RCS) generated during construction activities such as cutting or grinding can cause lung cancer and the irreversible lung disease. Exposure to RCS is common on construction sites because silica is a naturally occurring mineral that is present in many construction materials. The Silica Control Tool is a risk assessment tool that was developed by the BC Construction Safety Alliance and the University of British Columbia to assist construction employers to create exposure control plans for managing the health risks of RCS on construction worksites. It uses an RCS exposure database to generate exposure estimates for construction activities both with and without exposure controls The Silica Control Tool was launched in 2017 and is freely available to all employers in British Columbia. It currently has over 2300 registered users. However, there remain gaps within the database which limit the applicability of the Tool. We aim to conduct on-site field measurements to determine the effect of these missing control methods to expand the applicability and effectiveness of the Silica Control Tool.

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Faculty Supervisor:

Chrstopher McLeod

Student:

Yijun Lu

Partner:

BC Construction Safety Alliance

Discipline:

Epidemiology / Public health and policy

Sector:

Other

University:

University of British Columbia

Program:

Accelerate

Techno-economic assessment of operating grid-scale super-capacitor energy storage for a wind power producer

Battery and energy storage units are one of the main sources of backup power in modern power systems to support the renewable power generation deficiencies in meeting the load demand. In recent years, the advancements in the charge/discharge efficiency, low cost, and long life of super-capacitor energy storage (SCES) technology have challenged conventional battery technologies. Besides, due to their high-power delivery capability, the SCES units are a strong candidate for supporting uncertain wind power production in a wind power generation complex. Atlas power generation Inc. has developed a SCES technology from inexpensive and widely available minerals which have the above-mentioned advantages. This research project is intended to execute a techno-economic assessment of investing in SCES units in a wind power production complex from the prospect of the wind power producer.

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Faculty Supervisor:

Morad Abdelaziz

Student:

Vahid Asgharian

Partner:

Atlas Power Generation

Discipline:

Engineering

Sector:

Manufacturing

University:

University of British Columbia Okanagan

Program:

Accelerate

Parallel Computing Solutions for Modelling Large Volume Geoelectrical Data Utilizing Unstructured Meshes

This project will develop computer modelling methods for geoelectrical data that are collected in geophysical surveys. Such data can be used to infer information about electrical properties in the Earth’s subsurface, and subsequently provide information about mineralization, groundwater pollution pathways, water intrusion through flood barriers, and various other important processes. It is ever more common that large volume geoelectrical datasets are collected. Although these have the potential to provide improved information about the subsurface, they pose particular challenges for computer modelling. The general objective of this project is to develop new computationally feasible computer modelling approaches for working with large volume geoelectrical data. To reach that objective, we will investigate use of unstructured meshes, parallel programming and data sampling/compression methods, among others. This project will develop powerful and sophisticated geoelectrical modelling software that will have the potential to benefit Canada though its use in resource exploration and many other applications.

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Faculty Supervisor:

Peter Lelièvre;Colin Farquharson

Student:

Hormoz Jahandari

Partner:

DIAS Geophysical

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Improving Conductivity and Waterproof Ability of Solar Tile Connectors

The project is to enhance the stability of the detachable solar tile panel connector in terms of conductivity and waterproof ability. The student will investigate other applications such as solar tiles for roof mounted applications and the current designs and prototypes developed by Square Solar. They will also develop a set of design requirements that the connectors must meet taking into account requirements from applicable Canadian standards. The research will also develop designs to meet the optimum size, thickness, and materials for the solar tile connectors for practical production.

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Faculty Supervisor:

Nancy Paris

Student:

Clinton Gaudet

Partner:

Square Solar Inc

Discipline:

Other

Sector:

Manufacturing

University:

British Columbia Institute of Technology

Program:

Accelerate

Development of Advanced Deep Learning Algorithms for Computer Vision and CAV Applications

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In the first field, a number of driving scenarios will be simulated and evaluated to understand the performance of deep learning-based algorithms, leveraging 5G to take advantage of quick data transfer and calculations. The goal of the second part is to design and evaluate different deep learning algorithms to develop a software for defects detection in industrial facilities. Research findings and conclusions drawn in this project will aid future research and upgrades in deep learning applications.

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Faculty Supervisor:

Bo Wang

Student:

Tao Wu

Partner:

New Vision Systems

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Design and Development of the Mortgauge Payout Evaluator API

At Mortgauge, we want to make it easier for Canadians to build wealth as homeowners. Through this project, we will research and develop enhancements to our Payout Evaluator tool in order to further empower our users to act on opportunities to save on mortgage rates or leverage their home equity to build wealth. We will then build out an API framework that enables us to amplify the reach of these insights in collaboration with our referral partners by making our tools easily integratable into their infrastructure.

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Faculty Supervisor:

Albert Danison;Jigisha Patel

Student:

Adrienne Cheng

Partner:

Mortgauge

Discipline:

Design

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

Relative Energy Deficiency in Sport (RED-S) in Canadian high performance athletes: Prevalence, health and performance implications – Year two

Relative Energy Deficiency in Sport (RED-S) was first characterized by the International Olympic Committee in 2014 and characterizes a range of negative health (endocrine function, bone health) and performance outcomes that result from chronically low energy availability. Despite recognition of its significance for health and performance, and a prevalence rate of 3-60% in athletes, our ability to correctly assess and diagnose RED-S remains poor. Further, RED-S concerns high performance junior and senior athletes across Canada, where effects are seen beyond the degree of success at major championships, including the cost of health care and long-term consequences for athletes diagnosed with RED-S. Accordingly, our aim is to create the best parameters to diagnose and manage RED-S; along with information of the prevalence and severity of RED-S across sports in Canada and globally; educate the athletes on the risks of long-term RED-S and of the ways to avoid RED-S; and to provide refined recommendations for protein and energy intake for high level endurance athletes, across a range of energy availability levels (low to optimal).

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Faculty Supervisor:

Trent Stellingwerff

Student:

Ida Aliisa Heikura

Partner:

Own the Podium

Discipline:

Physics / Astronomy

Sector:

Arts, entertainment and recreation

University:

University of Victoria

Program:

Elevate

The Tumour Cell Senescence Index: A Possible Tool to Identify Patients At High Risk of Treatment Failure During Neoadjuvant Chemotherapy

While promoting the destruction of the majority of tumour cells, chemotherapy treatment in cancer patients also permits chemo-resistant, senescent tumour cells to survive. Such senescent cells can live off dead tumour cells during and after chemotherapy. They can then form new tumours, resulting in disease progression. We have recently observed that chemotherapy treatment also induces strong degradation of an important macromolecule in tumour cells called ribosomal RNA. High ribosomal RNA degradation [as measured by the RNA disruption assay (RDA)] predicts for complete tumour destruction and improved outcome in cancer patients. Low ribosomal RNA degradation predicts for chemo-resistant disease and disease progression. We hypothesize that the level of tumour senescence in tumours during treatment may improve the utility and efficacy of the RDA at identifying early in treatment patients at high risk of treatment failure and disease progression. Such patients might best be served by being quickly moved to alternative treatments.

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Faculty Supervisor:

Tom Kovala

Student:

Paul Marchetta

Partner:

Rna Diagnostics

Discipline:

Biology

Sector:

Health care and social assistance

University:

Laurentian University

Program:

Accelerate

Advancing Bio-materials Production Services

Bio-materials can reduce our dependence on fossil fuels, greenhouse gas emissions and facilitate a rapid transition to a bio-basedleconomy. Thus, developing novel and innovative technologies and products related to bio-materials sectors is crucial. This has!resulted in extensive research into the development of biomaterials. Most research efforts have focused on materials selection,’fabrication, and optimization of bio-materials’ performance through experimentation, trial-and-error, and microstructural analysis. This proposed research project has been designed to advance bio-materials solutions for two of the most available natural materials,cellulose and lignin. The project will focus on the following two main sub-research areas: (A) Production and characterization ofregenerated cellulose based structures using 3D printing; (B) Investigating 3D printing of lignin-based multifunctional materials thatare capable of shape memory effect. Findings will enable lnnoTech Alberta to develop and test the performance of these promising,but currently undervalued, bio-materials without incurring high costs and will be able to deploy suitable biomaterial solutions efficientlyinto the stream of commerce and highly significant to the Canadian service enterprise, agricultural, 3D printing, oil and gas, forestry,constructions and plastics industries.

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Faculty Supervisor:

Cagri Ayranci;M. Yaman Boluk

Student:

Irina Tatiana Garces Arguello

Partner:

InnoTech Alberta Inc

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Elevate

MBSE for Modeling, Evaluation, and Optimization of Modular Robotic Systems: Case Study on AIS

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models.AIS is developing mobile robots for different markets. Mobile robots are very complex systems in nature with a large number of interacting components. Addressing the complexity of such systems requires accounting for different engineering and development aspects, such as: robot production, hardware and software module production, service providing, sales and marketing, and regulation and compliance. AIS has adapted the MBSE approach and V-model as a development process for their robotic design and development process. Their goal is a comprehensive and scalable platform to enable systematic, coordinated, efficient, and productive engagement of all areas.The goal of the proposed research is to investigate different MBSE aspects within the envisioned AIS platform. Three main objectives have been defined: 1- Investigate the implementation of MBSE modeling languages for developing AIS robotic systems, 2- develop behavioral MBSE models, 3- propose a methodology for system design evaluation and optimization.

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Faculty Supervisor:

Mehran Mehrandezh

Student:

Hani Omar Balkhair

Partner:

Advanced Intelligent Systems Inc.

Discipline:

Sector:

Agriculture

University:

University of Regina

Program:

Elevate

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