Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Microgeneration Wind Turbine Tower system – Advanced Civil Engineering

Advanced civil engineering research, design and simulation related to a microgeneration wind turbine guyed wire tilt tower system suitable to be install anywhere in Canada.

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Faculty Supervisor:

Dipanjan Basu

Student:

Partner:

Borrum Energy Solutions Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Controlling inhaled gasses for novel clinicalapplications

The general objective of this MITACS project is to introduce RespirAct (TM) as a unique device that provides a precise, repeatable vasoactive stimulus to extend the capabilities of imaging modalitites such as PET, CT, MRI and ultrasound. In the first project, the development and standardization of the cerebrovascular stress test will provde a means to assess impaired cerebrovascular control in clinical as well as research settings. In the second project, the mechanism of cerebral white matter injury will be explored using the RespirAct technology. THe third project will focus on demonstrating the efficacy of hydrogen gas in DNA protection and to standardize a gas delivery technology for safe hydrogen gas inhalation during diagnostic imaging tests. The studies the interns will be performing are indespensible to enable the RespirAct (TM) to be applied to patients. The experience in this validation will both guide the development of the clinical device and provide validation for its clinical adoption.

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Faculty Supervisor:

David Mikulis

Student:

Partner:

Thornhill Research Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Design and Development of the Smart Friction Pendulum System (FPS) for High-Rise Buildings to cope with seismic loads

Buildings are vulnerable to moderate and powerful earthquakes. In order to keep their functionality during and after the seismic events, structural control systems are the promising candidates to be embedded in the buildings in which they dissipate the energy towards the building and separates the movements between the soil and the infrastructure. One of the common systems for this protection is the friction pendulum system (FPS), but it has the disadvantage of losing position once an earthquake happens. Then to improve this device a new material is implemented in the design, called shape memory alloy (SMA). This improvement allows us to have a smart FPS system that can support up to 14% of deformation in length and dissipate the energy while shaking.

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Faculty Supervisor:

Rafiq Ahmad

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Exploring the antidepressant response to 2-Bromo-LSD in female mice

Lysergic acid diethylamide (LSD) and other psychedelic drugs have been shown to have therapeutic effects, including for the treatment of depression. However, their hallucinogenic effects may represent an undesirable side effect. Non-hallucinogenic derivatives of these drugs represent a promising alternative; one such alternative is 2-bromo-LSD (BetterLife drug TD-0148A), but data on its effectiveness as an antidepressant and mechanism of action is lacking. Depressive disorders are more frequently diagnosed in women across different cultures, suggesting a biological susceptibility mechanism. Therefore, we seek to determine whether TD-0148A has antidepressant effects in female mice and whether it promotes the formation of synaptic spines in neurons, as other rapidly acting antidepressants do. Furthermore, we will evaluate the effect of TD-0148A on global brain gene expression to determine how does it exert its therapeutic effects.

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Faculty Supervisor:

Argel Aguilar Valles

Student:

Partner:

BetterLife Pharma Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

False Data Injection Attacks Targeting Power System Generation Control/Scheduling and Their Mitigations

Electric power systems are subject to cyberattacks. In this project, we intend to investigate false data injection attacks (FDIAs) targeting the automatic generation control (AGC) and the economic dispatch (ED) of electric power systems. Such a class of attacks may significantly affect the system frequency stability and result in huge economic loss and even catastrophic blackouts. Particularly, we will develop novel FDIA models targeting AGC and ED from the intruder’s perspectives, evaluate the impacts of developed FDIAs on benchmark test systems, and then design effective mitigation methods against those FDIAs from the defender’s viewpoint to reduce the negative impacts of the FDIAs and ensure the secure operation of power grids. The research outcomes will shed light on how we can better defend Canada’s power grids and minimize catastrophic consequences on the security and integrity of the country’s critical infrastructures against potential cyberattacks that are increasing both in frequency and severity.

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Faculty Supervisor:

Xiaozhe Wang

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

McGill University

Program:

Accelerate

Transition model for insurance risks

Car (automobile) insurance is a very common type of insurance: policyholders pay a premium to get financial compensation in case an accident happens with their cars. Insurance companies use complex calculations and a lot of information to determine the value of these premiums. More specifically, they must also consider their expectations of the future. Predicting the future is impossible but with the help of artificial intelligence, the current project aims to improve the understanding of how a portfolio of insured cars can evolve in the upcoming years. The idea consists of identifying which factors contribute to the future behavior of the policyholders. By being more aware of the future, insurance companies would be able to charge more realistic premiums to their customers and improve the long-term value of their portfolios.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Finance and Insurance; Technology

University:

Université de Montréal

Program:

Accelerate

Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the research will focus on the applicability of ensemble classifiers, naive Bayes classifiers, logistic regression, and neural networks. Using data gathered from the underground mining stopes (e.g., drilling and blasting design and configuration; stope geometry; the dip and strike of stopes; in-situ stresses; mining depth and methods; grade variability; and rock type and characteristics), AI models will be built.

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Faculty Supervisor:

Mustafa Kumral

Student:

Partner:

DT Solutions Services

Discipline:

Engineering

Sector:

Information and cultural industries

University:

McGill University

Program:

Accelerate

Understanding the role of impurities in Made-in-Canada cathode active materials for automotive lithium-ion batteries

The reliance on raw materials from overseas to build lithium-ion batteries (LIBs) is a major concern for automotive companies building battery electric vehicles in North America. Canada’s rich Ni deposits is a potential solution to this problem. However, Canadian Ni ore are sulfides, so battery manufacturers are reluctance to use it due to possible trace impurities (e.g. Fe). Thus, this project is focused on demonstrating the viability of NMC cathode active materials (CAM) using Ni ore sourced only from Canada. Through a series of chemical reactions, the Ni ore will then be converted to a state-of-the-art NMC composition. The yield and purity/quality of product will be optimized during each step to enhance performance. The final product will be benchmarked for cell performance against commercial CAMs. This project will demonstrate a viable and scalable domestic pathway for Canadian Ni ore to power large scale battery electric vehicle manufacturing in Canada.

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Faculty Supervisor:

Brad Easton

Student:

Partner:

Flex-Ion Battery Innovation Center

Discipline:

Physics

Sector:

Manufacturing

University:

University of Ontario Institute of Technology

Program:

Accelerate

Assessment of a novel chemical entity (TRV 1387) in the treatment of tau-related neuropathology and behavioral impairment in a transgenic mouse model of Alzheimer’s disease.

The onset of symptoms in Alzheimer’s Disease, Picks disease, progressive supranuclear palsy and cortical basal degeneration are connected to the formation of insoluble deposits of the tau protein in the brain, also known as neurofibrillary tangles (NFT). The Treventis Corporation has developed new chemicals that are designed to prevent the formation of NFT, which may be useful for treating Alzheimer’s disease. Genetically modified mice that develop NFTs in their brains have been developed as animal models of Alzheimer’s disease, and are therefore useful to test the effects of novel treatments. This experiment will determine whether the novel chemical TRV 1387 can reduce the amount of brain pathology and behavioural impairments in a mouse model of Alzheimer’s disease. This research will benefit the Treventis Corporation, by determining whether these novel chemicals are effective and thus potentially useful for humans with Alzheimer’s disease.

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Faculty Supervisor:

Richard Brown

Student:

Partner:

Treventis Corporation

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate the client emotion rapidly, for example if the customer is angry or frustrated the algorithm will find out that emotional state and alert the agent to be more patient, understandable, and most importantly know how to deal with the client.

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Faculty Supervisor:

Alessandro Lameiras Koerich

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Computer science

Sector:

Finance and Insurance; Technology

University:

École de technologie supérieure

Program:

Accelerate

Replacing airport luggage handling infrastructure legacy materials with low-footprint alternatives: Phase I – Feasibility study

Materials circularity is becoming increasingly important for designers and manufacturers across the world, driven by a variety of factors including increased restrictions to landfill dumping through the legacy “make-take-dispose” model, through to social campaigns. The aim of this collaborative project is to perform a feasibility study on replacing current airport luggage handling infrastructure at Vancouver International Airport (YVR), designed and managed by Vanderlande Industries Canada Inc., with low environmental footprint alternatives and to begin migrating this dimension of Canada’s business towards the circular economy. The project involves benchmarking the performance of the current and new candidate materials including their mechanical properties and end of life biodegradabilty, as well as numerical modeling of typical in-service loading conditions for optimizing the re-design proces

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Faculty Supervisor:

Abbas Sadeghzadeh Milani

Student:

Partner:

Vanderlande Industries

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Isobody Leisure Codes: Creating a new standard for human body sizing

The current Alpha Sizing system for clothing sizes (S, M, L) has vast inconsistencies. Apart from shopper frustration, the most significant consequence of unpredictable fit is the monetary and environmental cost of unnecessary shipping and logistics. 30% of clothes are returned due to poor fit. The cost of this problem exceeds US$14 Billion annually. Furthermore, 25% of the clothes that are returned are either burned or dumped. The CO2 generated annually, just in shipping, exceeds 5.7 million tonnes. Isobody Technologies has created standard, immutable codes for human body sizes (not clothes) to enable like-bodied people to communicate about which clothing sizes and brands fit their bodies best. The proposed research project is to use publicly available human body size and shape data to determine an algorithm that can assign a unique Isobody Code to a given individual. Isobody Technologies plans to license the codes to online retailers and clothing manufacturers.

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Faculty Supervisor:

Raymond Spiteri

Student:

Partner:

Isobody Technologies Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.