Innovative Projects Realized

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

31914 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9949
QC
98
PE
629
NB
1215
NS

Projects by Category

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

Business Case for the Intelligent Offshore Trawling (IoT) Net

The project will build a business case to evaluate and develop an innovative Intelligent Offshore Trawling (IoT) Net. This net will transform bottom trawling processes by having the net just above the seabed. This means the seabed is not violently disrupted and that the operations of the trawling vessels are more efficient through a greatly reduced loading on the trawling vessel propulsion system. This will decrease the green house gas emissions from underway trawling vessels. A collateral benefit is that the bycatch will be reduced. The intern will examine the preliminary design, perform an engineering feasibility study, examine the cost to early adopters and produce a research and development plan. These components will be documented to form the business case for the IoT Net. This business case document is the project deliverable. This is the first step in a collaboration that will stage a Nova Scotia company, Pombcoup Technologies, to be the OEM for a transformational technology that will is adopted in Atlantic Canada and then across Canada.

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Faculty Supervisor:

Mae L. Seto

Student:

Partner:

Pombcoup Technologies

Discipline:

Engineering

Sector:

Agriculture

University:

Dalhousie University

Program:

Business Strategy Internship

Penrose Partners i3 Incubator Associate

The primary focus of the internship program will be assisting Penrose Partners in the development, programming, and execution of our I3 Innofund Incubator program. Currently in its first iteration, the Innofund Incubator is the premier destination for blockchain and digital asset startups looking to accelerate their growth and expand to international markets. In partnership with Ryerson University’s premier DMZ incubator, as well as the Government of Bermuda, the incubator provides the resources, guidance, and partnerships necessary for exponential growth. The intern staffing this project will touch all aspects of the incubator program, including but not limited to: client management, market research, content production, social media & marketing strategy, operations & logistics, and more.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

Penrose Partners

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

Venture Studio Fellow

Futuresight as a venture studio is a startup and VC fund that invests in and builds different software companies. Our goal for Benjamin in the next 6 months is to play an active role on the Validation Team being responsible for activities related to:
– Ideation
– Customer discovery
– Assumption mapping and Lean canvas design
– Market research and competitive analysis
– Costing
These activities will support the work of 2 Founders in Residence who are looking to build start-ups at FutureSight.
It is a crucial role. We have earmarked 6 months for the ideation and validation phases around a new software opportunity that can potentially be formed into a new venture. At the end of the 6 month period, a decision will be made around investment. The work done now is directly correlated to FutureSight’s decision to invest or not.
Why? Founders in Residence are chosen by FutureSight to go through this initial validation period with, in order to assess the market opportunity and ability to build a venture scale business.

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Faculty Supervisor:

Sandy Staples

Student:

Partner:

FutureSight

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Management of companies and enterprises

University:

Queen's University

Program:

Business Strategy Internship

Low cost SERS substrates with rapid manufacturing

The proposed research will develop cost-effective substrates for application in Surface Enhanced Raman Spectroscopy. The substrates will be made using self-assembly methods for nanomaterials in aqueous medium
and a final step of simple filtration. The nanoscale material will provide high sensitivity as a SERS substrate for detection of specific chemicals and microbes. The developed SERS substrates during this project will be applied
by the industrial partner for detection of antibiotic resistant microbes using a simple point of care hand held device that will simplify health care in remote communities.

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Faculty Supervisor:

Vivek Maheshwari

Student:

Partner:

Spectra Plasmonics Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Correction of Non-ideal Lighting Conditions for Face Recognition in Alcohol Ignition Interlock Devices

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Faculty Supervisor:

Ling Guan;Anastasios Venetsanopoulos

Student:

Partner:

Alcohol Countermeasure Systems Corp

Discipline:

Engineering

Sector:

Manufacturing

University:

Toronto Metropolitan University

Program:

Accelerate

Seismic Assessment of High-Density Polyethylene (HDPE) Lift Stations

Lift stations are an underground utility transporting wastewater from residential or commercial sources to wastewater treatment plants. Lift stations are defined as a post-disaster structure according to national building code of Canada, which are required to remain operational immediately after earthquakes. A wealth of evidence from historical post-earthquake reconnaissance has confirmed the excellent performance of high-density polyethylene (HDPE) pipelines under earthquakes. However, the application of HDPE to lift stations is relatively new, and the seismic performance of HDPE lift stations remains poorly understood. This project aims to address these research gaps through two-dimensional and three-dimensional numerical simulations of HDPE lift stations subjected to seismic loading. The outcomes of this research will bring tangible benefits to the seismic resilience of wastewater infrastructure in Canada and contribute the scientific knowledge on emergency response planning.

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Faculty Supervisor:

Cheng Lin

Student:

Partner:

Ryzuk Geotechnical

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

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.