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

Analysis of factors impacting views and revenue of digital assets on YouTube

This research project will focus on factors increasing viewership and revenue on Boat Rocker Media’s digital assets on YouTube. Combination of datasets from various sources such as YouTube revenue reporting, YouTube data and analytics Application Program Interfaces (API’s), and social media will be used in an explanatory analysis and statistical modeling to get new insights. The project will involve integration of data from various sources as well as data cleansing. The result of analysis will help Boat Rocker Media increase the number of views on its digital assets, retain the current viewers, understand factors that attract viewers, and create new policies to engage the audience of its digital assets on YouTube.

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Faculty Supervisor:

Nathan Taback

Student:

Sayed Hassan Naqawi

Partner:

Boat Rocker Media

Discipline:

Computer science

Sector:

Media and communications

University:

Program:

Accelerate

Automation and Evaluation of Rapid Deforestation Assessments of Small Farms

The worlds’ forests are being cleared at an alarming rate to make room for agriculture. Consequently, agricultural companies and those that finance them are increasingly required to demonstrate that the farms that they do business with were not recently deforested. Current methods for assessing deforestation involve using experts to analyze satellite images but this process can be cost prohibitive for small farms. The objective of this project is to develop and assess the accuracy of a new method that completely automates this process without the need for experts. Developing and assessing this method is expected to benefit Taking Root, the partner organization, to demonstrate that the farms that it does business with were not recently deforested at a much lower cost.

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Faculty Supervisor:

Gary Bull

Student:

Ignacio San Miguel

Partner:

Taking Root

Discipline:

Forestry

Sector:

Forestry

University:

Program:

Accelerate

Electrical Material Characterization Studies on Power Cable Dielectric Materials subjected to Thermal Aging

Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations in cable, thus, making it unsuitable and unsafe for extra service. Therefore, it would be markedly valuable if the thermally-degraded portion in a cable can be located precisely without destroying the cable. In this project the electrical properties of cables are studied and emplyed as potential indicators to diagnose thermally-degraded regions of the cable. As a result, possible malfunctions in cables due to heat-overloads can be detected in an efficient, fast, low-cost, and non-destructive way which elevates the safety and lowers catastrophic risk in power transmissions.

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Faculty Supervisor:

Sheshakemal Jayaram

Student:

Amin Bandpy

Partner:

Kinectrics Inc

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

Systematic Risk Mitigation Methodology Applied to the Bioénergie La Tuque (BELT) Biofuels Biorefinery – Year two

Bioénergie La Tuque (BELT) is promoting the development of a 200 million liter per year biofuels plant to be built by 2023 in La Tuque. The plant will use residues from forest harvesting as feedstock, which will be a first at that scale for a second-generation biomass biorefinery in Canada. It is critical for a project of that magnitude to achieve success, that risk associated with the biorefinery implementation are thoroughly identified and mitigated. In this project, technology and market risk factors are specifically targeted. The project methodology comprises the systematic incorporation of risk mitigation approaches in the definition of biorefinery strategies, techno-economic, and sensitivity analyses, as well as the organization of a decision-making workshop. In the latter, project stakeholders will assess the outcome of the evaluation of risk-related criteria defined considering the specifics of the BELT biorefinery context, from which preferred product-process strategies will be derived.

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Faculty Supervisor:

Paul Stuart

Student:

Cédric Diffo Téguia

Partner:

BioÉnergie La Tuque

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

École Polytechnique de Montréal

Program:

Elevate

Development of miniature fluorescence microscope with optogenetically synchronized patterned illumination – Year two

We propose development of miniature fluorescent microscope with flexible spatiotemporal photostimulation patterns of ensembles of neurons in freely behaving animals.For precision and targeted photostimulation of light-activated proteins (opsins), the light beam from high power incoherent light source will be shaped by user-controlled digital micromirror device (DMD). The light patterns formed by DMD will be sent via fiber bundle to miniature imaging system that can be implanted on the head of the animal. This will allow studying in real time the cellular and physiological mechanisms and the functional implication of different systems of the brain without restricting the free movements of animal. By further deepening its expertise in miniature microscopy, optogenetic tools and high power light sources, Doric Lenses will strengthen its positions as one of the leading developers and suppliers of microscopy solutions for life sciences. 

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Faculty Supervisor:

Michel Piché

Student:

Karen Bakhshetyan

Partner:

Doric Lenses Inc.

Discipline:

Visual arts

Sector:

Life sciences

University:

Université Laval

Program:

Elevate

Canadian Communities of Practice in Global Health: meeting the SDG challenge – Year two

Canada’s commitment to the Sustainable Development Goals (SDGs) has implications for both domestic and foreign policy in a complex, shifting, and interdependent global health system crowded with multiple actors and stakeholders. The array of activities involved with global public health practice necessitates engagement with health policy and systems research (HPSR), and Knowledge Translation (KT) is critical to bridging the gap between knowledge generated through research and the knowledge that is used to inform policy, practice, and programs. My proposed two-year Fellowship, with the Canadian Society for International Health (CSIH) and the University of Ottawa, advances KT through deepened engagement with the Canadian global public health community for the integration of SDGs within health systems in Canada and internationally. 

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Faculty Supervisor:

Ronald Labonté

Student:

Sameera Hussain

Partner:

Canadian Society for International Health

Discipline:

Epidemiology / Public health and policy

Sector:

Medical devices

University:

University of Ottawa

Program:

Elevate

New economic strategies for the design, analysis, and evaluation of international projects and development of teaching materials

The objective of the research is to provide international development agencies and non-governmental organizations (NGOs) with decision making and evaluation tools that are practical and, at the same time, are based on sound academic foundations. These tools are specific to a sector, such as nutrition, and a country, such as Guatemala. The resulting documents will assist analysts in design of international development projects as well as their assessment, monitoring, and evaluation. The immediate benefit of such practical guidelines would be their utilization by the partner organization in the analysis of ongoing projects.

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Faculty Supervisor:

Huw Lloyd-Ellis

Student:

Ardyn Nordstrom

Partner:

Limestone Analytics Inc

Discipline:

Economics

Sector:

Medical devices

University:

Queen's University

Program:

Accelerate

Role of gut microbiome in neurodevelopmental and psychiatric disorders

The healthy human gut contains a network of millions of bacteria that help to digest food, fight infection and promote human health. Stress, changes in diet, antibiotic use, and other environmental conditions can disrupt the bacterial network, and contribute to a wide range of illnesses including irritable bowel syndrome, anxiety depressive behaviors, autism, mood disorders, obesity and cancer. This project will describe the microbiome (bacteria and bacterial genes) present in health individuals compared with individuals diagnosed with a neurodevelopment disorder (ASD and ADHD) or mood disorder (depression and bipolar). This knowledge with contribute to our understanding of which bacteria and bacterial genes constitute a healthy versus unhealthy microbiome. Since bacterial composition can be relatively easily manipulated, personalized treatment of gut-bacteria-related psychiatric disorders shows tremendous potential for improving human health and reducing the economic burden of mental health disorders the health care system.

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Faculty Supervisor:

Xudong Liu

Student:

Calvin Sjaarda

Partner:

Ongwanada

Discipline:

Psychology

Sector:

Medical devices

University:

Queen's University

Program:

Accelerate

Inhibiting somatostatin signaling in animal models of diabetes

The prevalence of diabetes is growing rapidly and currently, over 60 million people worldwide use insulin treatment to manage their diabetes. However, insulin treatment can result in hypoglycemia or low blood sugar levels. To date only retroactive treatments are available to treat hypoglycemia, which affects an individual’s quality of life and increases the likelihood of recurring bouts of hypoglycemia as well as development of cardiovascular or renal disease. The goal of this project is to test the efficacy of novel therapeutic targets utilizing somatostatin receptor-2 antagonists to better manage glycemic control in type 1 diabetics. It is hypothesized that this new drug will help prevent hypoglycemia in diabetes by increasing glucagon levels when blood sugar drops below normal. 

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Faculty Supervisor:

Michael Riddell

Student:

Julian Aiken

Partner:

Zucara Therapeutics Inc

Discipline:

Kinesiology

Sector:

Medical devices

University:

York University

Program:

Elevate

Cancer tissue classification using machine learning/deep learning algorithms

Raman spectroscopy is a non-destructive laser-based optical technique that provides information on the molecular composition of biological tissue. Using this technique, it is possible to distinguish different types of tissue and use this information to develop prognostic tests to evaluate, for example, how a patient will respond to a specific therapy. Combined with other spectroscopy techniques, it is possible to acquires a wide range of information about the cancer/normal tissues in different organs and use this database to perform a very efficient tissue classification using the machine/deep learning algorithms. This research will lead to the development of new prognostic system, using spectroscopy techniques to predict and categorize tissues to for different types of cancers. These developments will setup the stage for future clinical trials using spectroscopy to improve treatment for patients affected with cancer, for example, the potential efficacy of immunotherapies.

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Faculty Supervisor:

Frédéric Leblond

Student:

Ehsan Edjlali

Partner:

Institut national d'optique

Discipline:

Visual arts

Sector:

Medical devices

University:

École Polytechnique de Montréal

Program:

Elevate

Customer Lifetime Value Prediction Engine: Neighborhood Link Inference and Conversion Prediction

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and to mitigate risk. A key challenge is to correctly assess the true lifetime value of customers across multiple business product lines and to develop analytical methods capable of maximizing that value while meeting customer needs. Efficient large-scale mathematical and statistical modelling methods are core requirements to meet this challenge. The proposed project will focus on development of such methods. 

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Faculty Supervisor:

Mikhail Nediak

Student:

Aliaksandr Nekrashevich

Partner:

Scotiabank

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

Queen's University

Program:

Accelerate

Smart TECHnology for better shared decision making about prenatal testing for pregnant WomEn (TECH4WE)

Whether or not to undergo prenatal screening to assess the risk of certain genetic conditions in the fetus, and if so deciding among available prenatal screening tests, is a difficult decision faced by all pregnant women and their partners. However, few are aware of the implications of the various options. With shared decision making (SDM), patients and doctors share health decisions based on the pros and cons of all the options and on what matters most to the patient, so decisions reflect this knowledge and the preferences of those involved. SDM reduces decision regret and reduces overuse of diagnostic testing. A mobile app could be a cost-effective, and efficient way to help patients make decisions. My research (Rahimi.2017,PMID:28838306) found little evidence of the use of mobile apps to support SDM, and none that support prenatal testing decisions. 

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Faculty Supervisor:

France Légaré

Student:

Samira Abbasgholizadeh Rahimi

Partner:

Greybox Solutions Inc

Discipline:

Visual arts

Sector:

Medical devices

University:

Université Laval

Program:

Elevate

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