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

The potential of utilizing existing oil refineries to produce low carbon fuels via co-processing

Mitigating climate change will need to decrease the demand on fossil fuels and developing low carbon fuels. Co-processing biogenic feedstocks in existing oil refineries could provide significant amount of low carbon fuels as well as displacing the demand on fossil fuels. The proposed research work with an oil refinery who is commercialising co-processing oleochemical feedstocks in their facility. The work is expected to help to gain a better understanding of the impacts of adding biogenic feedstocks and building a “predictive” model, which could help the refinery to further optimize its process and be more energy efficient. The results will also motivates other refineries to adopt co-processing as a way to decarbonise and transform into a low carbon economy.

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Faculty Supervisor:

Jack Saddler

Student:

Jianping Su

Partner:

Parkland Fuel

Discipline:

Forestry

Sector:

Oil and gas

University:

University of British Columbia

Program:

Accelerate

Further improvements of image analysis for multiplexed microarrays – Part 2

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. After implementing a print run and analysis using the current quality control protocols, data will be compared with existing results. As well, based on both past work and next stage results these will be modified to provide reports in the same format as current reports and expand current assay options to 384 well plates

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Faculty Supervisor:

Pierre Sullivan

Student:

Simeng Chen

Partner:

SQI Diagnostics Systems Inc

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Evaluation of Durable Hydrocarbon-Based Proton Exchange Membrane for Fuel Cell Applications

This MITACS project aims to investigate the durability of IONOMR’s PEMIONTM membranes in Proton Exchange Membrane (PEM)-based fuel cells for automotive applications and explore their usage as the PEM in PEM-based fuel cells. Specific test conditions and protocols for use at IONOMR based on industry standards will be developed and the materials will be benchmarked against current state-of the art materials in order to prioritize development efforts and aid in customer adoption efforts. IONOMR will benefit from access to specialized equipment available at UBC in addition to expertise in regards to the testing and optimization of PEM fuel cell solutions provided through the Wilkinson lab.

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Faculty Supervisor:

David Wilkinson

Student:

Lius Daniel

Partner:

Ionomr Innovations Inc

Discipline:

Engineering - chemical / biological

Sector:

Fuel cells

University:

University of British Columbia

Program:

Accelerate

Providing Resident Support: Incorporating lived experiences into the development process

Due to the lack of investment from the Federal and Provincial governments for affordable housing and the low number of housing cooperatives formed in the last 30 years the co-op housing model is outdated. In response to a need for affordable housing in Vancouver, BC the Community Land Trust (CLT) has recently opened two newly built housing cooperatives as well as affordable housing option with non-profit partners. This research project aims to identify an engagement framework for the development/redevelopment process of CLT projects. Specifically, CLT wants to incorporate the lived experiences and opinions of residents into their engagement strategy throughout the development/redevelopment process.

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Faculty Supervisor:

Penelope Gurstein

Student:

Ruby Carrico

Partner:

Community Land Trust

Discipline:

Urban studies

Sector:

Real estate and rental and leasing

University:

University of British Columbia

Program:

Accelerate

Development of Fungal-Specific Stress Response Inhibitors for the Treatment of Fungal Infections – Part 2

Drug resistance of medically relevant microorganisms poses a grave threat to human health and has severe economic consequences. Fungal pathogens pose an additional complication as they are closely related to their human host. Current therapies to treat fungal infections are limited and drug resistance has already emerged in the clinic. We have conducted extensive research on fungal drug resistance mechanisms and propose to target these mechanisms in combination with existing antifungals. Specifically, our aim is to target a key regulator of fungal drug resistance, the molecular chaperone Hsp90. Through a structure-guided drug design approach, fungal-selective Hsp90 inhibitors will be designed followed by chemical synthesis. We will further characterize these compounds for fungal-selectivity, enhanced efficacy, and minimal impact on human Hsp90. This work addresses the urgent unmet need for effective new antifungal therapeutics that act by a previously unexploited mode of action.

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Faculty Supervisor:

Justin Nodwell

Student:

Tanvi Shekhar-Guturja

Partner:

Bright Angel Therapeutics

Discipline:

Biochemistry / Molecular biology

Sector:

Pharmaceuticals

University:

University of Toronto

Program:

Accelerate

A scalable FMI-compatible cosimulation platform for distribution grid cybersecurity studies using data analytics

The objective of this project is to develop and customize a cosimulation platform capable of integrating multi-formalism simulators for SG cybersecurity analysis. This enables one to provide a cosimulation platform which is characterized by scalability (no limitation in terms of nodes/buses of communication/power systems), compatibility with the Functional Mock-up Interface (FMI) standard and capability of synchronized integration of any two abstract simulators (NS-3, OMNeT++ for communication network and EMTP, MATLAB/Simulink for power system). Such cosimulation platform would be employed to visualize the impact of cyberattacks on the distribution grid, to generate the relevant data that can be processed using advanced analytical tools to design efficient defense. Those defense techniques consist of intrusion detection and attack mitigation. Moreover, the cosimulation platform would be used to validate the efficiency of the obtained mitigation solutions. This project will provide Hydro-Québec with an advanced cybersecurity testbed for the assessment of countermeasures and security solutions of its electrical power network.

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Faculty Supervisor:

Keyhan Sheshyekani

Student:

Danial Jafarigiv

Partner:

Institut de recherche d’Hydro‐Québec

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

École Polytechnique de Montréal

Program:

Accelerate

A Framework to Assess the Seismic Resilience of Hospital Infrastructure in Metro Vancouver

Healthcare infrastructure plays a key role in the recovery of communities in a post-disaster scenario. In seismically active regions, such as western Canada, an understanding of the seismic performance of hospitals is essential to inform emergency management and effectively mitigate earthquake risk. This research project aims to develop new methodological approaches to integrate seismic risk assessments into the decision-making process of healthcare facilities management.

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Faculty Supervisor:

Carlos Molina Hutt

Student:

Gerald Palomino

Partner:

Bush, Bohlman & Partners

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of British Columbia

Program:

Accelerate

Heat Transfer Analysis of an Electric Baseboard Heater using Computational Fluid Dynamics

This research is an attempt to understand a heat transfer challenge encountered in the Glen Dimplex electric baseboard heaters in details and provide recommendations to resolve that. This baseboard heater uses electricity to heat up an internal element which is designed to transfer the heat to the room?s air via a series of thin aluminum plates called fins. The poor heat transfer from heater fins to air results in low efficiency of the heater as well as the unwanted physical deformation of fins by thermal expansion. Using computer modeling, the heat transfer mechanisms inside the heater will be analyzed, the possible reasons for the heater?s low heat transfer performance will be identified, and recommendations to improve its performance will be given. Using these recommendations, Glen Dimplex would be able to redesign and improve its heaters consuming less electricity while providing higher heat output.

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Faculty Supervisor:

Amir Aliabadi

Student:

Mojtaba Ahmadi-Baloutaki

Partner:

Glen Dimplex Americas

Discipline:

Engineering - other

Sector:

Manufacturing

University:

University of Guelph

Program:

Accelerate

Smart Atlantic Buoy Redundancy Model

This research will provide a prediction of sea conditions at a given location based on measurements from meteorlogic and oceanographic “smart” buoys in the general area. The motivation is to provide redundancy in the measurement of sea conditions for safe navigation within the Halifax Harbour when the main smart buoy in Halifax Harbour fails or is unavailable. The current Halifax Harbour Smart buoy provides real-time wind and wave data that is used to determine if levels are within acceptable thresholds in order to move vessels within the harbour. Two additional buoys are operated in the harbour by other entities (Environment & Climate Change Canada (ECCC) and Fisheries and Oceans Canada (DFO). This research project will determine if a model can be derived from the additional two buoys to make a prediction about the expected measures from the Halifax Smart buoy.

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Faculty Supervisor:

Luis Torgo

Student:

Jesuseyi Fasuyi

Partner:

Institute for Ocean Research Enterprise

Discipline:

Computer science

Sector:

Other services (except public administration)

University:

Dalhousie University

Program:

Accelerate

Characterization and Modeling Inclusion Population during Secondary Steelmaking – Year two

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion model for the Stelco facility. Ultimately this is expected to achieve better process and product control. Inclusions, depending on their size and type, may profoundly affect steel properties. Depending on their type and abundance they may have an equally profound effect on the process, for example nozzle clogging by inclusions, leads to interruptions of the casting process. For these reasons, the nature and quantity of inclusions formed is an important criterion of assessment for refining processes. It is crucial to understand and control the evolution of inclusions as a function of process conditions either to minimize the quantity or modify the type from deleterious to benign inclusions. Moreover, a comprehensive kinetic model that considers steel-slag reactions and steel-inclusion reactions is a powerful tool to accurately predict the inclusion population during secondary refining. TO BE CONT’D

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Faculty Supervisor:

Kenneth Coley

Student:

Kezhuan Gu

Partner:

Stelco

Discipline:

Engineering - other

Sector:

Manufacturing

University:

McMaster University

Program:

Elevate

Detection of Mental Health Conditions from Textual Device Communication – Year two

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset and progression of developmental and mental health issues in youth. The addition of a postdoctoral researcher in Natural Language Processing (NLP) will allow the project to run quality assessments of the text-based data sets that we are developing for the purposes of assessing these behavioural and mental health concerns in youth. This will allow SafeToNet to develop new deep-learning tools and assess their performance against current research in NLP. The technology will be used in real time detection of safety and childhood development issues, with the technology being immediately deployed in the monitoring tool.

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Faculty Supervisor:

Diana Inkpen

Student:

Stefania Pecòre

Partner:

SafeToNet Canada Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Elevate

Quantifying the value and risk of restoring wetland habitats in agricultural landscapes – Year two

Wetlands provide critical habitat and valuable ecosystem services. Land use conversion in Ontario, however, has led to substantial wetland loss. The restoration of wetlands on agricultural properties has the potential to offset wetland loss, yet these wetlands are also susceptible to contamination by pesticides. Our research will therefore establish: (1) to what degree restored wetlands retain pesticides, (2) whether restored wetlands with varying concentrations of pesticides support wildlife, specifically aquatic invertebrates, and (3) whether invertebrates that disperse through the terrestrial landscape can differentiate between contaminated and uncontaminated aquatic habitats. We expect that restored wetlands in agricultural settings will accumulate pesticides, and will be low quality habitat (i.e., sinks) for sensitive insect species, which will not be able to preferentially choose uncontaminated habitats. However, we also expect that less sensitive species will not be greatly impacted by pesticide load, and may therefore benefit from restored wetlands. This project will allow the postdoctoral applicant to apply her current research interests in the assembly of aquatic communities to a conservation issue. Our work will also benefit Ducks Unlimited Canada, who are evaluating the risk of pesticides to wetland function, and who can redirect restoration strategies and methodologies based on our results.

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Faculty Supervisor:

Rebecca Rooney

Student:

Sarah Kathryn French

Partner:

Ducks Unlimited Canada

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

University of Waterloo

Program:

Elevate

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