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

An innovative process for production of syngas (H2 and CO) for biojet synthesis through hydrothermal liquefaction of biomass/organic wastes followed by supercritical water gasification

This project aims to convert feedstocks to H2-rich syngas for FT biojet fuel synthesis by using a two-stage system. The first is a hydrothermal liquefaction (HTL) process, one of the most promising thermochemical pathways to liquefy solid biomass into liquid products including bio-crude with higher heating values and an aqueous product. The second is a gasification process using water in supercritical range (SCWG) and in the presence of a catalyst, during which the liquefied biomass (after separating out char and ash), from first stage can be transformed to clean and H2-rich syngas. The two-stage system will be optimized to maximize yield, minimize char formation, eliminate ash/minerals, and produce cleanest possible syngas with a proper H2:CO ratio, appropriate for synthesis of FT biojet fuel. Successful implementation may allow the company to develop this process on a pilot scale, and eventually build plants across Canada for cost-effective and sustainable biojet fuels production

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Faculty Supervisor:

Charles Xu

Student:

Yulin Hu

Partner:

Greenfield Global

Discipline:

Engineering - chemical / biological

Sector:

Alternative energy

University:

Program:

Accelerate

Evaluation of the effectiveness of different interventions on reducing recycling contamination in multi-family buildings in Vancouver

Recycle BC, a not-for-profit organization responsible for British Columbia’s packaging and paper products recycling is conducting a pilot project on reducing recycling contamination (ie. wrongly-placed recyclable and non-recyclable materials in different recycling streams) in multi-family buildings (eg. apartments, townhouses). The goal is to determine which intervention will cause multi-family building residents to reduce their recycling contamination. Some of the interventions will include changing the appearance of the recycling carts, increasing signage in the recycling areas, and giving weekly feedback in the form of a score-card. Recycle BC will benefit from this project by finding the most cost-effective, least time-consuming, and easiest to implement intervention(s) to implement in multi-family buildings city-wide and province-wide in the future.

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Faculty Supervisor:

Thomas Gunton

Student:

Melanie Mewhort

Partner:

Recycle BC

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Leverage on Artificial Intelligence in Capacity Management: Predict IT assets usage based on Business events

The Societe Generale Bank possesses a network of trading applications which generate the hardware consumption data (CPU, memory and network communication). The main usage of this trading system is to receive/ send orders from the market and/ or the clients or vice versa, and based on these order information, business decisions are made accordingly.
The project’s main research focus is to use Artificial Intelligence technologies to help better manage hardware capacity and data flow in the network.
To achieve this, we will be using different methodologies such as gradient boosting (and others) to investigate the relationship between the components of this network and make predictions on hardware consumption and how the whole network reacts to data flow and market fluctuation.
Ideally, this research will result in a clearer understanding of the network and help maintain the infrastructure and avoid system crush.

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Faculty Supervisor:

Yi Yang

Student:

Yasmine Bouguerche

Partner:

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program:

Accelerate

Cell Preservation Techniques for Novel Probiotics

The purpose of this project is to develop encapsulation technologies that enable probiotic cells to maintain their dormancy and shelf stability within new food products. The project covers a discovery, validation, and scale-up phase. It addresses the use of various materials to produce capsules of probiotics and formulation of different products using them. The outcome of this project will allow DoseBiome to formulate probiotics in different kinds of food with extended stability, shelf life, and potency for everyday consumers.

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Faculty Supervisor:

Shirley Wu

Student:

Kuan Huan Chen

Partner:

DoseBiome

Discipline:

Pharmacy / Pharmacology

Sector:

Life sciences

University:

Program:

Accelerate

An investigation into the operation and operational benefits of a new converter technology for supercapacitor charging

Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed based on the requirements of the batteries. Considering supercapacitors as the prospective next generation energy storage systems, it is claimed that the deflection conversion technology offers much faster and significantly more efficient charging scheme compared to the current chargers. As an important consequence of this development, with the adoption of the new generation of supercapacitors in electric vehicles, drivers can charge the vehicles’ batteries on the go leading to saving time, reduced costs and benefitting the environment. This research proposal is intended to validate the superior characteristics of the chargers using the deflection conversion technology.

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Faculty Supervisor:

Jiacheng Wang

Student:

Jae Park

Partner:

Atlas Power Generation

Discipline:

Engineering - mechanical

Sector:

Energy

University:

Program:

Accelerate

Non-targeted characterization of natural extracts from red beet and cabbage using LC-HRMS

Capol Inc works with several natural extracts to produce alternative to synthetic colourants. Research shows that these natural extracts might contain molecules that could be beneficial to human health, predominantly in the families of chemicals that give these extracts their vibrant colours. This project proposes to analyze these extracts with a new depth to determine what chemicals are present in them and confirm which exact molecules are giving the extracts their colour, and whether or not these align with molecules that could be beneficial when ingested. Increased understanding allows Capol Inc. to continue to innovate and develop new high quality natural ingredients that that respond the consumers demand for natural and healthy ingredients.

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Faculty Supervisor:

Stéphane Bayen

Student:

Pablo Elizondo

Partner:

Capol Inc

Discipline:

Food science

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

Assessing the Impact of Customer Service Strategies on Loyalty

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict customer retention and churn by using appropriate metrics. In addition, the company can understand the impact of alternative customer service strategies on customer loyalty and can choose the most effective one for implementation.

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Faculty Supervisor:

Sandeep Arora

Student:

Thi Uyen Uyen Banh

Partner:

Bold Commerce

Discipline:

Visual arts

Sector:

Finance, insurance and business

University:

University of Manitoba

Program:

Accelerate

Full characterization of Drug-Drug interactions using deep learning methods

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to use computational tools for predicting interactions in order to reduce experimental costs and improve safety. To achieve this, we will use data about the drugs and information about their biological target that are available at the beginning the drug R&D process. Our hypothesis is that artificial intelligence will improve DDI characterization and provide information earlier in the drug development process. Creating such comprehensive tool will help to reduce the risks associated to drug interactions.

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Faculty Supervisor:

François Laviolette

Student:

Rogia Kpanou

Partner:

InVivo AI

Discipline:

Computer science

Sector:

Pharmaceuticals

University:

Université Laval

Program:

Accelerate

Assessment of deep learning for analyzing radar signals in maritime environment

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge (e.g., detection of objects in noisy scenes from a maritime environment caused by the interference produced by the reflection of the radar waves on the sea). The project is broken down into three main sub-goals: (1) review of relevant literature on radar detection in a maritime environment, (2) exploitation of existing datasets (e.g., IPIX, CSIR), and the state-of-the-art on radar simulation, and (3) application of DL, in particular convolutional neural networks (CNN), for suppressing sea clutter and detecting targets in radar image in maritime environment. 

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Faculty Supervisor:

Christian Gagné

Student:

Mohamed Abid

Partner:

Thales Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Université Laval

Program:

Accelerate

Determination of groundwater effects of the new Foothills Regional Waste Management Center storm-water management system

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no measurable effect of the “Engineered Forest”. As well, an idea of the groundwater fate and transport from the storm-water will be identified.
This research is in its primary stages and is a proof of concept of the “Engineered Forest” for Banner Environmental Engineering Consultants. It serves as a case study for future storm-water management systems around the rest of the FRWMF and other waste management centers locally and nationally.

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Faculty Supervisor:

Angus Chu

Student:

Musthafa Shafeeq

Partner:

Banner Environmental Engineering Consultant Ltd

Discipline:

Engineering - civil

Sector:

Natural resources

University:

Program:

Accelerate

Implementation of a low barrier hydromorphone distribution program to prevent fatal overdoses

North America is experiencing an unprecedented opioid overdose epidemic driven by the proliferation of fentanyl and fentanyl-adulterated drugs. Based at the BC Centre on Substance Use (BCCSU) and in collaboration with the BC Centre for Disease Control (BCCDC), I will undertake an ethno-epidemiological study to evaluate the implementation, uptake, and effectiveness of a novel low-barrier hydromorphone distribution program via a secure automated medication dispensing system targeting individuals at high risk of fatal overdose. The study will also examine barriers and facilitators to program scale up. The BCCDC is responsible for the implementation and operation of the distribution systems and program, with the BCCSU conducting the external evaluation. Data collection will involve qualitative interviews with 60 program participants and 15 stakeholders, as well as ethnographic fieldwork. The Vancouver Area Network of Drug Users’ (VANDU) mandate is to improve the lives of people who use drugs (PWUD), and they benefit by playing a key role in an evaluation and knowledge translation for a program with the potential to directly benefit PWUD. VANDU members will be included on a community advisory committee, be employed as peer research assistants, and be involved in future policy development and knowledge translation.

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Faculty Supervisor:

Ryan McNeil

Student:

Andrew Ivsins

Partner:

VANDU

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Elevate

Strategies to attack cancers

Pascal Biosciences Inc. is a company developing immuno-oncology therapeutics to fight cancer. It was initially founded on ideas and research that originated from Dr. Wilf Jefferies’ laboratory at the University of British Columbia. Since then, the company has continued to collaborate with Dr. Jefferies and his team to forward the research, through direct sponsorship and through collaborative research partnerships. Pascal has a mandate to discover and develop targeted agents that enable the body’s own immune system to recognize and attack cancers. To do so, the company is currently advancing three research programs:
1. Developing a therapeutic monoclonal antibody for treatment of B-cell precursor acute lymphoblastic leukemia, the most common childhood leukemia;
2. Optimizing novel classes of molecules that restore immune recognition and killing of cancer cells;
3. Regulating activity of immune system calcium channels to combat cancers, infections, and autoimmune diseases.

View Full Project Description
Faculty Supervisor:

Wilfred Jefferies

Student:

Shawna Stanwood

Partner:

Pascal Biosciences Inc

Discipline:

Biology

Sector:

Medical devices

University:

Program:

Accelerate

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