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

Suitability of indigenous wine yeast strains identified from spontaneous fermentation as wine fermentation starter cultures

The Measday lab at the University of British Columbia Wine Research Centre has been collaborating with Okanagan Crush Pad (OCP) winery since 2013 to isolate native yeast strains present in OCP vineyards and winery. OCP is an organic winery and routinely carries out natural grape juice fermentations where no commercial wine strains are inoculated into the tanks to allow the natural microflora present on the grape berries to carry out the fermentation and showcase the terroir of their vineyards. The purpose of this proposal is to identify one or two OCP native strains that are suitable for development into commercial wine yeast strains. OCP is excited to have isolated their own indigenous yeast strains from their own vineyards and would like to create wine made from strains that are native to their vineyards. The ultimate goal of this project is to commercialize OCP strains which will benefit the OV and entire Canadian wine community because they can use these strains to carry out wine fermentation instead of commercialized strains that were isolated from European vineyards.

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Faculty Supervisor:

Vivien Measday

Student:

Elia Castellanos Lopez

Partner:

Okanagan Crush Pad

Discipline:

Food science

Sector:

Agriculture

University:

University of British Columbia

Program:

Accelerate

Quantum Proofs for Skeptical Verifiers

A verifier-prover — where a “prover” suggests an answer to a question, which is then checked by a “verifier” — is a powerful analytical tool in computer science. As an example, understanding the number of transactions required to answer a computational question in a prover-verifier setting offers insights into the difficulty of that computational problem. Problems that can be solved with few transactions between a quantum prover and classical verifier is said to have complexity “QMA”. Unfortunately, even a modest modification, where the quantum prover is untrusted (its purported answers may sometimes be in error), is not yet fully understood. Understanding the implications of an untrusted quantum prover (e.g. How might one handle QMA problems despite an untrusted quantum prover?) is particularly relevant given the rapid development of noisy intermediate-scale quantum (“NISQ”) machines. This project seeks to develop proof systems robust against an untrusted quantum prover.

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Faculty Supervisor:

Anne Broadbent

Student:

Arthur Mehta

Partner:

AgnostiQ Labs

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

The activation of Vitamin B12 from different seaweed species

This project is a collaboration between a research group from the Food, Nutrition, and Health Department at UBC and the industrial partner Canadian Pacifico Seaweeds. One PhD intern will be trained on diverse types of advanced and sophisticated analytical instruments that are connected to vitamin B12 content measurement, characterizing the bacteria strains and in-vitro bioaccessibility measurement. After the successful execution of the project, potential vitamin B12- rich seaweed species will be identified and this vitamin B12 will be more bioaccessible (possibility show beneficial and healthy effects on humans). Hence, Canadian Pacifico Seaweeds can anticipate that this project outcome enhances the chances to conduct the in-vivo study and human clinical trials fruitfully so that they can contribute to the welfare of vegetarians or vegans and elderly people who have a deficiency of vitamin B12. Besides, the research results can build hope for commercial production of vitamin B12 health supplements from seaweed.

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Faculty Supervisor:

Anubhav Pratap Singh

Student:

Mithun Dey

Partner:

Canadian Pacifico Seaweeds Ltd.

Discipline:

Food science

Sector:

Agriculture

University:

University of British Columbia

Program:

Reinforcement Learning Algorithm for Traffic Signal Control To Reduce GHG Emissions

Persistent traffic congestions which are varying in volume and duration in the cities are not just the source of frustration for drivers, but also one of the biggest sources of greenhouse gas emissions in the world. Those types of congestions cannot be adequately resolved by the traditional traffic signal controllers.
Breeze Labs Inc. in cooperation with Simon Fraser University aims to develop a system that provides optimal traffic signal control based on road user information received from existing CCTV cameras and other traffic sensors on the intersections. Optimizing all road users’ wait times and as the result reducing an environmental footprint of traffic at intersections can be achieved by using latest advancements in Artificial Intelligence algorithms. The goal of this project is to develop such algorithms that can be used by Breeze Labs in real-time on the intersections.

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Faculty Supervisor:

Mo Chen

Student:

Pedram Agand

Partner:

Breeze Traffic

Discipline:

Computer science

Sector:

Transportation and warehousing

University:

Simon Fraser University

Program:

Accelerate

Optimization and automation of the imaging and analysis of Ananda Device’s high-throughput NeuroHTSTM microplate

Ananda Devices has developed an innovative technology to produce high-throughput organ-on-chip technology for commercialization in the pharma industry and cosmetic industry. For cost effective and fast commercializing the device, semi automation/automation is required for the high throughput data analysis. Further validation of the automation algorithm is required for data accuracy. So, our aim is to develop and validate the automation strategies to be used for analysis of high through put imaging of the Neuro-HTS device, more specifically analysis of neuronal growth, cell counts, connectivity and degeneration.

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Faculty Supervisor:

Dan Nicolau

Student:

Monalisha Nayak

Partner:

Ananda Devices

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Machine Learning Valuation of Quebec Housing Market

Most academic literature and practices in the real estate industry use traditional valuation models to predict house prices. While machine learning models have been used more heavily in the finance literature, it is less applied among real estate researchers. While traditional property valuation models rely on simple relationships between the price of a property and each property characteristic, machine learning models allow for complex relationships and can solve such relationships. Using Quebec housing data from real estate brokers, we will predict house prices using machine learning models and aim to generate better predictions of house prices. We will also develop a benchmark for renovation in houses to improve our predictions. Additionally, we will use neighborhood data and house images to better predict house prices.

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Faculty Supervisor:

Erkan Yönder

Student:

Mehdi Rasteh;Alexander Sarandiev;Elaheh Nikbakht

Partner:

Squarefeet.ai

Discipline:

Finance

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

COVID-19 Wastewater Surveillance and Vaccine Effectiveness Tracking

No matter how many COVID-19 clinical tests are done, current methods suffer from serious limitations. Asymptomatic or mildly symptomatic individuals, who are usually missed during routine clinical testing, prevent governments from getting accurate rates of COVID-19 infection, delaying public health responses. Global and domestic research confirms that COVID-19 can be reliably detected in the feces of affected individuals including those with mild to no symptoms – an area where clinical tests fall short.
As such, detection of the virus in wastewater enables the capture of a more accurate reflection of the degree of the outbreak. This system-wide approach, built from the bottom up in partnership with local municipalities, industry and private laboratories will provide vital data that will enable decision-makers, health care professionals, and policy makers to act immediately whenever an outbreak is detected within a community.
Findings from this research will provide municipalities, in-house, and private labs a reliable, credible, robust, and cost-effective testing program that will be ready for practical and sustainable wider implementation.

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Faculty Supervisor:

Gail Krantzberg;Zobia Jawed

Student:

Arjun Raha;Bonnie Wei Chen;Lauren Baerg

Partner:

Town of Midland

Discipline:

Engineering - biomedical

Sector:

Other services (except public administration)

University:

McMaster University

Program:

Accelerate

Pre-arrival services: The missing piece in the immigrant integration puzzle?

Although the education level of immigrants arriving in Canada has been steadily increasing, finding appropriate employment has remained a constant challenge for many newcomers. In an effort to improve some of the barriers that immigrants face, immigrant service organizations (ISOs) have started providing pre-arrival services for immigrants before they set foot in Canada. Pre-arrival services include orientation sessions, language classes and workshops on various topics such as job search strategies and occupational licensing. This research study will examine whether and how pre-arrival services may play a role in improving the labour market experiences of skilled immigrants and their families after they arrive in Canada. The internship will focus on collecting interview data from immigrants who have received pre-arrival services within the past five years with the aim to understand how pre-arrival services can be expanded and optimized to improve newcomers’ labour market outcomes.

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Faculty Supervisor:

Rupa Banerjee

Student:

Aliya Amarshi

Partner:

Discipline:

Business

Sector:

Other services (except public administration)

University:

Ryerson University

Program:

Accelerate

Conservation of Plant-Pollinator Relationships in the Lower Columbia Region Program

The project proposes to enhance pollination networks and the diversity of interactions among both native plants and their native pollinator taking into account the changing climate and a history of habitat loss and degradation. The main goal is to increase the ecological connections among sites to work toward a more resilient landscape in the Lower Columbia Region in south-central British Columbia. On-the-ground actions will improve habitat for pollinators including at-risk bumble bees and butterflies, specialist bees, and moths through the planting of appropriate pollen, nectar, and host plants, and nesting resources. Two target ecological systems are at the focus of this work: the Monarch Flyway and Riparian Meadow Corridor. Diverse pollination networks have been called the ‘key to ecosystem sustainability’ as direct benefits to plants and pollinators flow up through the food chain, with improved food availability for plant, seed, fruit, and insect-eating animals.

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Faculty Supervisor:

Brenda Beckwith

Student:

Mara Mannaerts

Partner:

Kootenay Native Plant Society

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Selkirk College

Program:

Accelerate

Hope 24/7: A community based evaluation of clinical services for diverse women who have experienced violence

Violence against women is a widespread public health issue and a human rights violation, adversely affecting women’s physical, psychological, social, and economic well-being. The proposed research, by centering on the post-traumatic mental health outcomes of violence on women, will evaluate the therapeutic effectiveness of two evidence-based interventions, cognitive processing therapy (CPT) and eye-movement desensitization and reprocessing (EMDR), in reducing women’s experiences of traumatic stress and related difficulties. The participants of the study will be a diverse group of women who are utilizing clinical services of a community mental health organization, Hope 24/7. The treatment modalities, as informed by feminist intersectionality practices, will be assessed by explicitly focusing on the question of how and when these interventions work for women from diverse backgrounds. As this research will provide evidence-based knowledge on the clinical effectiveness of treatments utilized by Hope 24/7, it will be beneficial to the organization in the development of client-centered and diversity informed intervention strategies while working with women survivors of violence.

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Faculty Supervisor:

Dillon Thomas Browne

Student:

Busra Yalcinoz Ucan

Partner:

Hope 24/7

Discipline:

Psychology

Sector:

Health care and social assistance

University:

University of Waterloo

Program:

Deep Learning Inspired Profiling, Predictive Analytics and Optimization of Employee Schedules

Celayix provides employee scheduling services across various types of industries throughout North America. They are one of the leading providers of machine learning based solutions across multiple verticals for companies that range in size from small, medium to large. They would like to maintain their lead with the help of this research and development project over next five years. Celayix would like to distinguish itself by identifying strengths of the employee pool and maximize their potential. The profiling of employees and shifts will help the managers understand their personnel and needs better by fine-tuning the existing machine learning by adapting the feedback. Adding explanation of the proposed scheduling assignments will make the proposed system more trustworthy. Use of transfer learning will help new companies derive benefits of the Celayix’s cumulative experience. Finally, an automated AI scheduling that allows the managers to optimize different objectives will make Celayix a must-have human resource solution. Celayix derives its business not only from helping Canadian companies, but from US-based organizations. A leading-edge software will further increase their export revenue not just from USA but the world.

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Faculty Supervisor:

Pawan Lingras;Jiguo Cao

Student:

Fabian Vaniyamveetil Reginold

Partner:

Celayix

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Program:

Accelerate

The effect of probiotic supplementation on sleep, depression-like behavior, and central glucose and lactate metabolism in male and female pubertal mice exposed to chronic sleep disruption.

Depression is a common and dangerous mental disorder. Depression can develop during puberty after repeat exposure to stress. In our past studies, we found that both male and female pubertal mice will show depressive behaviour after experiencing repeated sleep disruptions. Interestingly, there is a substance called lactate that is produced in humans and mice that may also improve sleep and reduce depression. Certain probiotics, or healthy bacteria, make this lactate will living in the stomachs of humans and mice. We wish to investigate whether these probiotics can increase lactate in sleep disrupted mice and report how probiotic treatment effects sleep and depression. Electrodes will be inserted in the brains of sleep disrupted mice to monitor lactate and sleep patterns following probiotic treatment. Depression will be measured with behavioral tests. We expect that probiotic treatment will increase lactate in the brain and improve sleep and depressive behaviour.

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Faculty Supervisor:

Nafissa Ismail

Student:

Michael Murack

Partner:

Lallemand Health Solutions Inc

Discipline:

Psychology

Sector:

Manufacturing

University:

University of Ottawa

Program:

Accelerate

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