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 specific peptide antagonists of muscarinic receptors to repair the nervous system

Drugs that block muscarinic receptors are able to enhance nerve repair in various diseases of the peripheral nervous system. In collaboration with WinSanTor Inc based in San Diego, USA, the laboratory of Dr. Paul Fernyhough at University of Manitoba now plans to develop novel peptide antagonists that also block the muscarinic receptor. These peptides will provide new intellectual property and permit testing of efficacy to prevent disease in animal models of neuropathy. The postdoctoral fellow will learn pharmacological approaches associated with drug screening, in vivo methodologies and will be exposed to business processes at the WinSanTor site. In particular, at WinSanTor the intern will be introduced to methods of peptide synthesis, clinical trial preparation, patent filing/protection and fin

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Faculty Supervisor:

Paul Fernyhough;Christopher Anderson

Student:

Farhana Naznin

Partner:

WinSanTor

Discipline:

Pharmacy / Pharmacology

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate International

Privacy Guarantees and Risk Identification: Statistical Framework and Methodology

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment of risk, to produce safe data in context of the environment in which it will be used. We also need adapt the methods of statistical disclosure control to such an updated approach.

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Faculty Supervisor:

Rafal Kulik

Student:

Devyani Biswal

Partner:

Privacy Analytics

Discipline:

Statistics / Actuarial sciences

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Automated Credit Risk Assessment Systems in Small Business Lending Decisions

Small businesses account for 89.6% of the total private labour force in Canada and, despite the vital role they play in the Canadian economy, fewer than half of small businesses will survive 10 years. One of the most commonly cited causes of small business failure is the inability to raise capital to finance its operations. This occurs, in part, because banks and lending agencies lack the tools necessary to draw valid conclusions from credit risk assessments. This application proposes two projects that will help build risk scoring system that the partner organization, Espresso Capital Inc., can use to make small business lending decisions. The goal is to recommend ways to improve the user experience and accuracy of the system so Espresso can predict if issues will arise in borrowing firms before they become a problem.

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Faculty Supervisor:

Aziz Guergachi

Student:

Sohrab Mashhadizadeh

Partner:

Espresso Capital Ltd

Discipline:

Business

Sector:

University:

Ryerson University

Program:

Accelerate

Open Air Interface for 5G and Beyond Cellular Networks

This research will focus on the design of 5G networks to provide for future wireless services include the use cases of Enhanced Mobile Broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra-reliable and Low Latency Communications (URLLC), and application area use cases such as Smart City, Smart Home/In-building, Augmented Reality, Self-Driving Cars, etc. 5G Technology has been standardized according to a broad framework in terms of the format of the transmitted wireless signals and the basic protocols including its compatibility with LTE networks. However, a large degree of particularization of major parameters and their optimization for the 5G use cases is left for research. This includes the methods to implement the various signal processing and protocol processing functions in a hardware/software hybrid particularized for a given use case. This project will address various issues in the particularization of the general 5G specifications and their implementation using state of the art generic software radios.

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Faculty Supervisor:

Elvino Sousa

Student:

Zhengyao Lu;Chen Dang;Sara Al-Kokhon;Yuxiao Zhai

Partner:

Bell Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Use of Terrestrial Laser Scanner to access plant structure and tree volume at Gardens by the Bay – Singapore

The forestry sector is one of the important pillars in the Canadian contributing to 1,6% for the country`s GDP. Access forest structure and quantifying leaf and wood elements is essential to understand productivity and environmental contribution of trees and forested areas. Light Detection And Range (LiDAR) produces a 3-Dimension point cloud with high spatial resolution, therefore, Terrestrial Laser Scanners (TLS) arises as an important tool to measure efficiently forestry metrics fast and at a low cost. There are several TLS sensors that have different spatial resolution, field of view, range and laser wavelength. Diverse methods have been used to access different forest parameters. The presence of wind, dust and humidity on the atmosphere are limitation for accurately measure forest metrics. We will be using two TLS systems to generate high spatial resolution digital models and calculate tree volume and biomass in a controlled environment at Singapore Gardens by the Bay (GB). The possibility of scanning in a complete controlled area brings the possibility of testing different approaches and methodologies, on a diverse group of trees from temperate to tropical ecosystems, which could be used on natural areas increasing the performance and accuracy of the measurements.

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Faculty Supervisor:

Gerardo Arturo Sanchez-Azofeifa;Stephen Johnston

Student:

Felipe Barbosa de Alencastro

Partner:

Discipline:

Geography / Geology / Earth science

Sector:

Forestry

University:

University of Alberta

Program:

Accelerate

Development of high precision microelectromechanical systems (MEMS) based vacuum encapsulated resonators

Rapid development of micro-fabrication technology, once considered exclusively for aerospace navigation, is now regarded for a wide range of applications, including autonomous vehicle navigation, underwater and industrial applications. Microelectromechanical systems (MEMS)-based gyroscope employs a resonating mass (resonator) to detect changes in motion, which is the central element of the gyroscope. MEMS resonator energy loss is the primary barrier towards achieving navigation-grade precision, so predicting resonators’ vibration characteristics is critical for minimizing energy loss. MEMS high-precision resonators also need to keep operating in high vacuum to ensure no energy loss due to air damping. This project will seek a MEMS high-precision and ultra-low damping resonator design that can operate in wafer-scale vacuum-sealed environment and packaging. This design is expected to create a major technological shift in motion sensing; at an attractive unit cost, it is expected to create a ripple effect in other MEMS inertial sensing applications.

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Faculty Supervisor:

Mohammed Jalal Ahamed

Student:

Matthew Straeten;Nabeel Khan;Jon Mcmanus;Zilang Chen

Partner:

Micralyne Inc.

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

Use of Jetti Catalysts in Waste Rock/Tailings Treatment

Bio-heap-leaching is a hydrometallurgical process used to process low grade chalcopyrite ore as the cost of alternative routes of processing and refining are not economically viable. However, a viable solution has been found: to add a catalyst that dramatically enhances the kinetics of leaching while not being too expensive, environmentally detrimental or affecting downstream processes. Jetti resources is using this technology to enhance the heap-leaching rate of chalcopyrite.
This new catalyzed leaching technology can also be applied in tanks and other reactor configurations. The current project aims at applying the Jetti technology to the re-processing of waste rock and tailings. The goal is to incentivize the cleanup of legacy tailings and waste rock dumps, thus reducing the potential for acid mine drainage and required site maintenance, by providing a revenue stream of saleable metal from the re-processing.

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Faculty Supervisor:

Edouard Asselin;David Grant Dixon

Student:

Connor Heise

Partner:

Jetti Services Canada Inc

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

Tungsten carbide-based coatings using recycled powders

Tungsten carbide-based coatings are used to protect oil field equipment from wear and corrosion. The coatings are carbide-metal composites and are applied by a spraying process. By applying the coatings it is possible to extend the lifetimes of critical equipment such as pumps and valves, and avoid unplanned outages. The spraying process used to deposit the coatings produces a substantial amount of waste powder . This project will design a method to recycle the scrap powders to enable them to be used to produce industrial -quality protective coatings. The new technology will provide a more cost efficient and sustainable use of the metal powders, whilst still providing the protective materials required by industry.

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Faculty Supervisor:

André McDonald

Student:

Henriette Stainer

Partner:

University of Sheffield

Discipline:

Engineering - mechanical

Sector:

Oil and gas

University:

University of Alberta

Program:

Accelerate International

The Vape Mediascape: Youth, E-cigarettes, and Health Policy

A survey, comprised of 20 questions, and organized according to the following four categories/themes: 1) Patterns of use; 2) Perceived health risks; 3) Access to e-cigarettes; and 4) Exposure to cultural content (i.e. marketing and advertisements) will be distributed to a minimum of 100 students from grades 7-12 in the Ottawa private school system. The survey will also include attached images of e-cigarettes advertisements with open-ended questions to better grasp how survey respondents perceive e-cigarette ads. Ultimately, this research will probe the rhetoric around the use and cultural content of e-cigarettes and how it resonates with a number of youth, comprising of both public school youth and at-risk youth attending school in non-mainstream setting.

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Faculty Supervisor:

Joshua Greenberg

Student:

Stephanie Ritter

Partner:

United Way Ottawa

Discipline:

Journalism / Media studies and communication

Sector:

Health care and social assistance

University:

Carleton University

Program:

Accelerate

The effect of cultivation conditions on duckweed nutritional profiles, with applications for aquaculture and aquatic ecology

Water lentils (duckweeds) are small aquatic plants that naturally found in ponds, lakes, and streams. Water lentils have been consumed by human populations for decades, and are a plant-based and sustainable source of proteins, potassium, iron, and fatty acids. Fifty years of ecological studies on the effects of abiotic factors on plant nutrients have shown that slight tweaks in temperature, salinity, and species mixtures can significantly increase plant nutrient levels and growth rates in nature. In this project we leverage this ecological information to fine-tune water lentil growing conditions in the lab and in large-scale commercial facilities. We will also examine the transfer of nutrients from water lentils to tilapia and rainbow trout through feeding experiments with fresh water lentils, and with water lentil-based fish food pellets. The overall goals of this project are to improve water lentil growing conditions for mass-production, and to test the efficacy of water lentil-based fish food for the health and growth of fish.

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Faculty Supervisor:

Michelle Tseng

Student:

Natasha Klasios

Partner:

Pontus Water Lentils Ltd

Discipline:

Zoology

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

Synthesis of CO2-Based Polymers for Carbon Capture

Carbon dioxide is produced from the combustion of fossil fuels and as a by-product of many chemical processes. The increasing concentration of CO2 in the atmosphere has now been decisively linked to global climate change. The use CO2 as a carbon-building block has attracted much attention due to its low cost, ease availability, and its potential to substitute fossil fuel-based feedstocks, in addition to the clear positive environmental effect of removing it from the atmosphere. In this project, we plan to make capture CO2 and polymerize it with epoxides and other derivatives to produce cyclic carbonates or functionalized polycarbonates. Polycarbonates produced by this process will have applications as ceramic binders, adhesives, coatings, and packaging materials, as well as in the synthesis of engineering thermoplastics. The synthesis of more diverse CO2-based copolymers is an important and challenging research and development topic, with clear positive economic and environmental applications. The functionalization of this class of polymers can further leverage the application of CO2 as a feedstock for a wider range of applications.

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Faculty Supervisor:

Joao Soares

Student:

Raquel Pereira Reolon

Partner:

InnoTech Alberta Inc

Discipline:

Engineering - chemical / biological

Sector:

Oil and gas

University:

University of Alberta

Program:

Accelerate

Video Quality-of-Experience Assessment Based on Advanced Machine Learning Technologies

The proposed Mitacs cluster project aims to apply advanced artificial intelligence (AI) technologies to attack challenging video quality-of-experience (QoE) assessment and quality assurance problems that are critical in real-world large-scale video distribution systems. Six internship students will work closely with the technical staff members at SSIMWAVE INC, a deep-tech startup company based in Waterloo Ontario, to develop AI-based automated video QoE assessment and video anomaly detection algorithms and software prototypes. The research outcome is expected to help enhance SSIMWAVE’s current QoE solutions in terms of accuracy, efficiency, reliability and versatility. It will also accelerate the adoption of deep learning and AI in the video distribution industry, and strengthen Canada’s competence and global leadership in the field.

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Faculty Supervisor:

Fakhri Karray;Zhou Wang

Student:

Ganesh Rajasekar;Vyas Anirudh Akundy;Zhongling Wang;Jatin Sapra;Zhuoran Li;Xinyu Guo;Jinghan Zhou

Partner:

SSIMWAVE Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

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