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

Volume Change Behaviour of Problematic Geomaterials

The proposed research consists of two tiers to understand the volume change behaviour of problematic geomaterials. Engineered structures have been distressed by expansive soils because of heaving and subsidence. Likewise, mine waste tailings from mineral beneficiation process must be contained in-pit storage facilities to minimize environmental impacts. This research is divided into investigation of volume changes in expansive soils under fluctuating pressure regimes using a diffusion equation as well as simulation of ng the volume changes in waste tailings using large-strain consolidation. The partner organization will benefit from the innovative and advanced techniques to deal with more complicated geotechnical issues associated with this two classes of problematic geomaterials.

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Faculty Supervisor:

Shahid Azam

Student:

Maki Ito

Partner:

Clifton Associates Limited

Discipline:

Engineering - other

Sector:

Construction and infrastructure

University:

University of Regina

Program:

Accelerate

Towards Automation of 3D Visualization & Analysis of Workspace Collisions on Construction Jobsites

Workspace Interferences/Collisions happen on construction jobsites when multiple resources (labor, equipment, material, etc.) don’t have enough space to coexist at the same time and will interfere with each other’s operations. These interferences affect performance, delaying the project, impacting cost, and may jeopardize the buildings’ integrity and people’s safety on site. Most of existing models simulate resources as being deterministic. However, the behavior of the crew interfering is more chaotic. The chaos mainly emerges from the dependency of the interferences and their consequences on the human interactions among crew members and between different crews. 85% of the respondents of a published questionnaire entailed the necessity for modelling the propagating effects of interferences and considering workspaces as stochastic. Accordingly, the research for this internship will focus on: 1) identifying the sources of uncertainty in workspace modelling 2) Testing the sensitivity of existing workspace models towards discovered uncertainties 3) Modifying the existing evaluation methods to account for uncertainties

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Faculty Supervisor:

Osama Moselhi

Student:

Abdelhady Hosny

Partner:

Pomerleau

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Concordia University

Program:

Accelerate

Development of a business model to plastic packaging waste management: the case of the Montreal Metropolitan Community (MMC)

By being moldable, durable, light, and inexpensive plastic packaging has seen a rapid growth in the use and its disposal is becoming a planetary challenge. Besides sustainable production and consumption globalized trade in waste plastics represents a significant option towards a circular economy. China, who so far represented the greatest importer of this material, recently (2017) implemented a policy banning the importation of most plastic waste and rising global concern regarding the destiny of this enormous displaced material flow. In this context, the present project wants to offer insights on the waste plastic disposal and management within the Montreal Metropolitan Community (MMC) and how to cope with the potential future impact of this policy ban on the already critical situation for the region. Starting with Life Cycle Assessment of different waste management practices, including the disruptive feedstock recycling technology of the industrial partner, a multi-criteria decision model is implemented to analyze potential waste management scenarios. As a final step, a Not-for-Profit (NFP) Business Model Canvas (BMC) to waste plastic packaging management is proposed to minimize costs and increase the social and environmental benefits for the MMC while possibly being exported to other cities with similar plastic waste market and policies.

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Faculty Supervisor:

Jean-François Guertin

Student:

Leonardo Tricomi

Partner:

Enerkem

Discipline:

Engineering - other

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Elevate

Techno-Economic Feasibility of Wastewater Heat Recovery for Cold Climates like Canada

Wastewater is an abundant and severely underutilized energy source in North America. Sewers experience predictable flow profiles and nearly constant temperatures between 18 ?C and 20 ?C year-round. When wastewater is used in conjunction with heat pumps, it can serve as an energy source and sink to provide both heating and cooling to buildings. Therefore, there exists the potential to extract significant amounts of thermal energy from the wastewater using heat exchangers, resulting in substantial economic and environmental benefits. The proposed work is to investigate the techno-econo-environmental feasibility of sewage-based hybrid wastewater heat recovery energy systems suitable for North American residential, commercial, and institutional buildings via system modeling, simulation, and optimization of such hybrid systems to be validated with experimental results from a few pilot systems currently being developed.

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Faculty Supervisor:

Alan Fung

Student:

Conrad Kwiatek

Partner:

Noventa

Discipline:

Engineering - mechanical

Sector:

Energy

University:

Ryerson University

Program:

Accelerate

pH equilibrated water for pets

VETWATER (Sainte-Brigide-d’Iberville, QC) produces pet equilibrated water under the commercial name of “VETWATER urinary solution for cats” (VC), which helps preventing urinary crystals and stones (urolithiasis) by equilibrating pH strictly in the 6.2-6.4 range. Besides urolithiasis, feline lower urinary tract diseases (FLUTDs) affect the urinary bladder and urethra of cats without any obvious underlying cause- so called “feline idiopathic cystitis” (FIC). Differently, depending on various patterns, dogs are prone to urolithiasis either due to struvite (pH< 6.4) or cysteine, oxalate and urate (pH > 7.0), requiring the formulations of two different “VETWATER urinary solution for dogs” (VD). VETWATER aims at launching on the market two new product lines. i) A new VC that prevents a wider spectrum of urinary pathologies in cats, i.e. urolithiasis and FIC at the same time, by the addition of LT to the current commercial formulation; ii) A new VD line with pH balanced either at 6.2-6.4 or 7.1-7.4 and containing bioactive antioxidants at the same time. In this project we formulate stable “VETWATER urinary solution for cats” and “VETWATER urinary solution for dogs” that minimize urolithiasis by equilibrating the pH and TBC.

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Faculty Supervisor:

Daria Camilla Boffito

Student:

Ndifreke Usen

Partner:

Les produits VETWATER inc.

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Self-Adaptive Pattern Recognition with Deep Neural Networks

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project aims to reduce the knowledge gap that exists in the usage of DNNs in the context of pattern recognition with DNNs in network management and network equipment manufacturing. The output of the project will be a set of hyper-parameter optimization and concept drift adaptation algorithms, which can be used to optimize DNNs for pattern recognition in network management data and network equipment manufacturing data.

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Faculty Supervisor:

Christine Tremblay

Student:

Bill Somen

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

École de technologie supérieure

Program:

Accelerate

Implementation of a Comprehensive Athlete Monitoring Program in Female and Male Varsity Ice Hockey Players

In order to improve athlete performance and maintain health, it is crucial to find a balance between training/competition demand, and the stress experienced by athletes. To improve performance, training and adaptation is necessary, but it is also crucial to consider how much training and competition an athlete can handle before it becomes harmful to their mental and physical health. The overall purpose of this project is to develop an athlete monitoring program that allows for training and competition demand (physically, psychologically, and physiologically) to be determined and assess the response, both mentally and physically, throughout an entire varsity hockey season in both male and female players. The partner organization has a long history of research that aims to understand athletes and improve performance and overall well-being. This project will attempt to develop an athlete monitoring program that will assist and improve these core objectives.

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Faculty Supervisor:

Lawrence Spriet

Student:

Alexander Gamble

Partner:

PepsiCo Beverages Canada

Discipline:

Food science

Sector:

Manufacturing

University:

University of Guelph

Program:

Accelerate

Ultra-thin graphene oxide membranes for efficient humidity harvesting

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of selectivity, permeability, and mechanical strength will be evaluated. Then, the effect of GO layer number on the selectivity and permeation rate will be investigated. Once the best performing membranes have been determined, the impact of feed humidity and temperature on the permeation rate and selectivity of water vapor transport through the membranes will be evaluated. Evercloak will supervise the intern and support out of lab research activities on their premise. Evercloak will benefit as the results of this project will inform key decisions within their technology development roadmap in addition to talent acquisition/training.

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Faculty Supervisor:

Michael KC Tam

Student:

Azam Nasr Esfahani

Partner:

Evercloak

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Improving reproductive performance and fur quality traits in Nova Scotia mink industry using genomics

Genomics is a field of science exploring the structure and function of DNA sequences. Genomic tools have provided new opportunities to accurately select animals for the traits of interest in livestock production. This project will explore the genome regions in American mink using the information from a large number of DNA sequences. The main idea of this exercise is to develop the appropriate tools for genomic selection in American mink. In this project, a wide range of economically important traits including reproductive performance and fur quality traits will be measured in collaboration with Nova Scotia Mink Breeders Association. The project will aim to create a big dataset of DNA information and phenotypic measurements to develop novel approaches in mink breeding. This research will implement the latest methods to improve the competitiveness of the Nova Scotia mink industry.

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Faculty Supervisor:

Younes Miar

Student:

Karim Karimi

Partner:

Nova Scotia Mink Breeders Association

Discipline:

Animal science

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Improved transductive regression using interconnected data

The explosion of data from personal phones, apps, and sensors have enabled powerful machine learning algorithms to help computers identify, categorize, and evaluate information without the help of humans. However, teaching computers how to identify, categorize, and evaluate information usually requires feeding the computers a lot of data pre-labelled by humans. The pre-labelling process is costly and time consuming. The goal of this project is to develop new algorithms to teach computers to identify, categorize, and evaluate information with less pre-labelled data. These new algorithms will use hidden relationships within the information itself, and will also be able to integrate other related data in a way that is easier for the computer use. If successful, these algorithms will be able to learn more from data, while reducing the burden of producing pre-labelled data.

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Faculty Supervisor:

Pawel Pralat

Student:

William Kay

Partner:

Tesseraqt Optimization Inc

Discipline:

Mathematics

Sector:

University:

Ryerson University

Program:

Accelerate

Electro-bioreactor (EBR) upgrading for high ammonium removal

The objective of this project is to build up an electro-biological system of high potential capacity for the removal of ammonium and phosphorus. Conventional biological treatment methods have limited capacity for removal of ammonia at higher concentrations. However, anammox bacteria have a high capacity to remove ammonium. The electro-biological treatment aims to enhance this capacity by electrically activating anammox bacteria on a fixed media. The work of the intern will be dedicated to study the feasibility of scaling up the compact electro-bioreactor so that the partner organization can use it for commercial applications, particularly where high ammonium concentration is a problem in treated wastewater. Works related to this project will be conducted partially in Environmental Lab and partially at the pilot facilities.

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Faculty Supervisor:

Maria Elektorowicz

Student:

Sara Ranjbar

Partner:

Technologies Clinnup Inc

Discipline:

Engineering - civil

Sector:

Other

University:

Concordia University

Program:

Accelerate

Thermal Performance Study of Switch Module Redesign

Thermal analysis is performed on a proposed design change on electronic assembly to ensure that it meets customer requirements (temperature ranges) and is a more cost-effective design. Such design change should be cost efficient. The important aspect, in addition to the design, is interacting with different engineers at different positions in the company. Working with mechanical engineers and suppliers in achieving such targets and ensuring the work done is viable and on track. Furthermore, creating a technical report at the end that outlines the processes taken, the results obtained and whether the new design is satisfactory, cost wise and thermally.

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Faculty Supervisor:

Kamran Behdinan

Student:

Mahtab Amiri

Partner:

Honeywell Aerospace

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

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