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

Photometry- and Radiometry-based Precision Agriculture

Labor cost and availability are identified as the biggest challenges facing Canadian agriculture. The DOT Technology Corporation, as part of the SeedMaster, is to create an autonomous power system that acts as a primary locomotion unit for carrying a multitude of farm implements used for seeding, fertilizing, and tilling. This simple autonomous power will enable farmers to employ a number of farm functions through a shared, smaller, and economical locomotion base, called DOT. This project is on adding a myriad of sensors to the DOT power unit such as: visible-light cameras, Lidar, GPS, and IMUs. They will provide feedback information on the vehicle’s location, its direction of motion, and the environment it moves through, to the control system for real-time navigation and control. Furthermore, the information obtained via the imaging systems will be used for: (1) obstacle detection and avoidance, (2) crop-row identification, (3) motion planning for the DOT for optimal performance of the farm function it carries out.

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Faculty Supervisor:

Mehran Mehrandezh

Student:

Behnam Nasirian

Partner:

SeedMaster

Discipline:

Engineering

Sector:

Forestry

University:

Program:

Accelerate

2017 Neighbourhood Small Grants Program Evaluation

The 2017 Neighbourhood Small Grants Program Evaluation will deepen understanding of grassroots grant making through an analysis of program outcomes and participant feedback from the Vancouver Foundation’s 2017 Neighbourhood Small Grants (NSG) program. Using data collected by the Vancouver Foundation, the project intern will produce a report that highlights the outcomes, opportunities, challenges, and lessons learned from the program activities of the 2017 granting year of the NSG. The report will also compare the findings of the survey responses with similar academic research on community and neighbourhood development. Additionally, there will be a special focus on the impact and challenges of NSG projects incorporating arts and culture. This research will be publically available, supporting Vancouver Foundations’ ongoing delivery of the NSG program, and building capacity for other municipalities and institutions to design and implement grassroots grant making programs in their communities.

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Faculty Supervisor:

Lynn Fels

Student:

Nicole Armos

Partner:

Vancouver Foundation

Discipline:

Education

Sector:

Management of companies and enterprises

University:

Program:

Accelerate

Optimizing the Thermal and Optical Performance of Multilayer Glazing with Application of Nano-optical Coating

The following research project will be used to investigate, develop and determine the performance of the application of a new nanotechnological material as a coating on glazing for the purposes of reducing the transmittance of specific wavelengths on the spectral curve. This will reduce the overall building heating and cooling energy consumption and will create a new market for the product in Canada and abroad. Until recently, this material has been too cost-prohibitive for all but a small subset of industrial uses, but new manufacturing techniques have reduced costs to the point where its parameters for optimal application can be formally Identified for building construction and other uses. The research will be conducted on large-scale computational simulation; Identification of best practices for different situations; design; critical evaluation and feasibility study.

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Faculty Supervisor:

Student:

Partner:

EH2 Solar

Discipline:

Engineering - civil

Sector:

Medical devices

University:

Concordia University

Program:

Accelerate

Effects of probiotic treatment on maternal care and gut health, with outcomes for offspring stress resiliency

The care provided to children by their mothers is important for the development of a healthy stress response. Many things may affect the quality of a mother’s care, such stress, environment, and nutrition. Probiotics, a form of good bacteria found in the digestive system, have been shown to improve the wellbeing of offspring in rodents who are exposed to on-going forms of stress. We wish to investigate if probiotics improve a mother’s care towards her offspring, and the later ability of these offspring to respond to stress in a healthy way as they  develop in adolescence.

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Faculty Supervisor:

Student:

Partner:

Lallemand Health Solutions

Discipline:

Psychology

Sector:

Medical devices

University:

Dalhousie University

Program:

Accelerate

Integrating biodiversity functional guild responses to land use and climate change in natural heritage system update

Urbanization continues to drive the land conversion from natural areas to urban uses dominated by impermeable surfaces. This conversion has direct and indirect impacts on ecosystem services that are critical for a sustainable and resilient ecosystem as well as human wellbeing. Habitat removal and fragmentation accelerate biodiversity loss in urban landscapes. Additionally, climate change exacerbates these impacts even further. Hence, green infrastructure is also becoming more common in urban landscapes to offset negative urbanization impacts. Here, species and habitat data in the Greater Toronto Area will be used to derive functional guilds based on their sensitivities to urbanization and climate change. Habitat suitability analysis will be conducted on each of these functional groups under current and future land use scenarios assessing changes in the landscape’s capacity to provide habitat with three climate scenarios (current, 2050, and 2080). 

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Faculty Supervisor:

Student:

Partner:

Toronto and Region Conservation Authority

Discipline:

Biology

Sector:

Environmental industry

University:

University of Toronto

Program:

Elevate

Splicing alterations: from pathogenic variant discovery to next generation therapeutics development

Many human genetic diseases are associated with defects in post-transcriptional gene regulation and alternative splicing. Despite rapid technological advancements, successful diagnostic rates for rare genetic disorders are still low and clinical interventions and treatments unavailable for most patients. This project aims to address this challenge by developing novel antisense RNA therapies based on the splice-switching oligonucleotide (SSO) technology. SSOs allow correcting aberrant transcript splicing by targeting disease mutations at the transcript level. This project comprises three aims. First, discovery of candidate target genes for SSOs will involve transcriptome sequencing (RNA-seq) of patient samples and identification of potentially pathogenic genetic variants using public databases. Second, a set of SSOs for top-ranking candidates will be designed and tested experimentally in vivo in human HepG2 cell line. 

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Faculty Supervisor:

Student:

Partner:

Deep Genomics Inc

Discipline:

Biochemistry / Molecular biology

Sector:

Pharmaceuticals

University:

University of Toronto

Program:

Elevate

Automated Visual Inspection, Sentencing & Dressing

Within the aerospace sector, aftermarket services account for over 50% of revenue generated by aero engine manufacturers. Central to this is the ability to inspect and repair high unit cost components. Many processes are manual but given the ever-increasing quality, cost and delivery requirements, and the safety critical nature of these rotating parts, there is a strong drive towards process automation. The objective of this project is therefore to productionise and validate the automation of inspection, sentencing and removal of defects present on service-run components such as gas turbine discs, shafts, blisks and fan blades. Each of the partners are expected to be advantageous to the project because of their reputations preceeding them. For AV&R, the potential for future system deployment is huge through Rolls-Royce sites and joint ventures.

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Faculty Supervisor:

Denis Laurendeau

Student:

Garrick Cabour

Partner:

AV&R Vision & Robotics Inc

Discipline:

Engineering - computer / electrical

Sector:

Aerospace and defense

University:

École Polytechnique de Montréal

Program:

Accelerate

Prediction of Optimal Business Structure for Tax Efficiency

In the Corporate Tax domain, professionals must review hundreds of documents in the process of filing taxes and rely on experience to identify where benefits or deductibles can be applied. This manual task is subject to human error and can result in unnecessary administrative overhead. With access to PricewaterhouseCoopers’ wealth of tax data, it is possible to develop a tool that uses historical trends to automate this process. The scope of work includes developing methods to extract meaningful information from tax documents and then researching how state-of-the-art machine learning methods can be combined to facilitate intelligent decision-making.

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Faculty Supervisor:

Nathan Taback

Student:

Zain Nasrullah

Partner:

PricewaterhouseCoopers

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Toronto

Program:

Accelerate

Cryptocurrency Index Research

Cryptocurrency markets exhibit highly chaotic behaviour, differing substantially from securities. This research project looks at the cryptocurrency markets for data–aiming to answer if it possible to create mathematical models which track the overall behaviour of the Cryptocurrency Market, while minimizing risks. Through this research we expect to reconcile the theory developed above with the real life cryptocurrency exchanges and coins. We thus intend to go back and forth with the theoretical work developed above, and real-life cryptocurrency data so as to shine some light on interesting further sub-models to create. We finally wish to conclude with a real-time proof of concept for the variety of the indexing questions we are able to solve for by implementing these indices and having them run/update automatically. This project will be significant in its applications in Finance and Economics, serving to decipher many confusing signals ubiquitous in the Cryptocurrency markets via mathematical rigor.

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Faculty Supervisor:

Luis Seco

Student:

Jorge Hernandez

Partner:

Three Lefts Inc

Discipline:

Mathematics

Sector:

Fisheries and wildlife

University:

University of Toronto

Program:

Accelerate

Using Deep Learning to Auto-tune GPU Application

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

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Faculty Supervisor:

Tarek Abdelrahman

Student:

Amir Hossein Ashouri

Partner:

Qualcomm Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Elevate

Improving the use of evidence-informed health policy for individuals with brain-based disabilities – Year two

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence play significant roles in creating services and policies. In fact, evidence and/or best practices that some might argue is irrefutable, may never make its way into policy or practice. This project will create retrospective process maps of multiple pilot project initiatives of the Centre for Innovation in Autism and Intellectual Disabilities that aimed to change public sector health and social services and policy related to individuals with autism spectrum disorders and intellectual disabilities. TO BE CONT’D

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Faculty Supervisor:

Keiko Shikako-Thomas

Student:

Jonathan Lai

Partner:

Discipline:

Human physical performance and recreation

Sector:

Medical devices

University:

Program:

Elevate

A Process Integration Approach of CO2 Sequestration to Marketable Products

The catalytic CO2 reforming process provides a sequestration alternative that holds promise for a viable solution for dealing with industrial gaseous effluents containing greenhouse gases CH4 and CO2. The process converts these gases to syngas (CO and H2) which can be used for synthesis for high value chemicals. The catalyst for the dry reforming process has been developed by Enerkem and is being scaled up by an industrial partner for implementation in an industrial sized reactor. Further, the syngas produced from this process can be used for an environment friendly alternative route for carbonylation step utilizing bio-based methanol/DME that could lead to higher value products ranging from acetic acid to acrylic acid. The final project deliverable would be an integrated process flow diagram (PFD) with stream tables with materials and energy balance with performance as indicated and reduces the green house emissions as projected.

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Faculty Supervisor:

Natalia Semagina

Student:

Khaled Sebakhy

Partner:

Enerkem

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Accelerate

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