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

Communicating Credentials: Building blockchain solutions for university degree verification

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to be correct are recorded, through a process of agreement, in a series of connected blocks by a process that only allows writing each entry a single time and does not allow further editing or deletion of each entry, will be investigated to determine the best platform, structure and design to ensure that a working prototype of a blockchain-based application will allow students to prove to other schools, universities, and employers, anywhere in the world, of their current and correct credentials and qualifications.

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Faculty Supervisor:

Peter Chow-White

Student:

Chuancong Gao

Partner:

Empowered Startups

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Visualization of IoT signals and optimization of sampling rate using machine learning

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the big data context. Creating a meaningful real-time visual summary of the sensor data streams for the operators is an important research problem. This project will design a framework based on machine learning and advances in human computer interaction (HCI) to help human operators monitor Internet enabled devices and appliances. The objective of the project is to determine to minimize the transmission cost and capture semantics from the data stream so the human operators can make meaningful decision for optimum operation of the devices.

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Faculty Supervisor:

Pawan Lingras

Student:

Meghana Chillal

Partner:

Hanatech Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Advanced Co-simulation Algorithms for EMT Simulation of Power System Transients

Modern electric power systems are complicated, large-scale dynamical systems that need specialized tools and techniques for their computer modeling and simulation. This is due to the unprecedented penetration of renewable energy sources and use of high-frequency power electronic converters. This proposal aims to develop algorithms and methods for co-simulation of modern power systems using dynamic phasor and electromagnetic transient (EMT) type simulators. By taking advantage of the computational relief that dynamic phasors provide the co-simulator to be developed will offer marked reduction in computing time compared to existing EMT simulators while retaining a great degree of accuracy. This will enable simulation of very large power systems with high accuracy and low computational burden.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Janesh Kumar Rupasinghe

Partner:

Manitoba Hydro International Ltd

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Development of Advanced Smart Medical Bandage Using Memory Polymeric Film/Yarn Actuator

Bandages have been used to provide compression therapy to manage chronic venous disorders such as leg ulcers and other muscle related orthopedic issues. They have several major problems such as pressure loss over time, no external pressure control, and no massage benefit which make inefficient treatment. There is an imperious need of any innovation which could solve these practical issues. Based on the applicant’s research expertise, a stimulus responsive smart memory polymeric material is proposed to use as a film/yarn in the bandage to control the pressure externally. Memory polymer will be synthesized/engineered to actuate around human body-temperature. A novel stress-memory behavior will be systematically investigated, where the force can be externally modulated. The film/yarn will be integrated into textile bandage with nanofibrous sensor to prepare the medical device for real-time pressure monitoring. The performance evaluation will be carried out to ensure the practical feasibility. TO BE CONT’D

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Faculty Supervisor:

Frank Ko

Student:

Harishkumar Narayana

Partner:

Texavie Technologies Inc

Discipline:

Engineering - other

Sector:

Medical devices

University:

Program:

Elevate

Investigating the cell biology of cannabinoid synthesis in Cannabis sativa

Cannabis sativa is a plant well-known for its production of cannabinoids, which are lipids with unique pharmacological properties. These compounds are produced mainly in female floral buds in specialized epidermal outgrowths known as glandular trichomes. These structures consist of a long stalk supporting a disk of biosynthetically active cells that produce the cannabinoids. Cannabinoid biosynthesis begins inside specialized non-photosynthetic plastids and the later steps of the pathway are catalyzed by cytoplasmic enzymes, however there exists a paucity of information on how the highly lipidic cannabinoids move among the various intracellular organelles. Such high lipid levels are predicted to produce lipotoxicity, but the disk cells must have mechanisms for sequestering the lipid products to avoid disruption of cellular membranes. Thus, my objective is to elucidate how cannabinoids are compartmentalized and trafficked within trichome disk cells, particularly focusing on lipid droplets (LDs) as potential sites of lipid buffering, and to identify novel proteins involved in this process. I expect the execution of my research objective to produce new insights into the cell biology of cannabinoid synthesis that should be directly beneficial for the partner organization BioCan Technologies Inc., a cannabis company seeking to increase cannabinoid content while avoiding lipotoxicity.

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Faculty Supervisor:

Anne Samuels

Student:

Michal Pyc

Partner:

BioCan Technologies Inc

Discipline:

Visual arts

Sector:

Life sciences

University:

Program:

Elevate

Rotator cuff tears: a covert source of shoulder disability (Prognostic value of patient’s demographic, clinical and genetic factors)

This study aims to develop a scoring system to screen the sub-clinical forms of rotator cuff tears and predict the tear progression. All the medical, genetic, work, and lifestyle backgrounds of individuals with rotator cuff defects (with and without symptoms) will be evaluated and a battery of manual tests and measurements will be performed to understand the predisposing risk factors for both sub-clinical and clinical manifestations. This scoring system can help health professionals to diagnose rotator cuff tears in their early stages, recognize at-risk individuals for symptom progression and implement personalized preventive strategies. As rotator cuff tears are very common in elderly, the population of Schlegel villages has been targeted for recruiting individuals with asymptomatic rotator cuff tears. With collaboration of Holland Shoulder Program in Sunnybrook Health Sciences Center, symptomatic patients with proven rotator cuff tear will also be included in this research. TO BE CONT’D

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Faculty Supervisor:

Clark Dickerson

Student:

Seyedeh Talia Alenabi

Partner:

Silverberry Genomix

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

Development of Coxsackievirus B3 as an Oncolytic Virus for KRAS-Mutant Lung Cancer Treatment

In Canada, lung cancer is the leading cause of cancer-related deaths for both sexes. Non-small-cell lung cancer (NSCLC) constitutes ~85% of lung cancer cases. Mutations in the KRAS and EGFR genes are two most common oncogenic drivers for NSCLC and responsible for ~30% and ~15% of NSCLCs, respectively. Unlike the EGFR-mutant type, KRAS-mutant NSCLC is currently undruggable and associated with poor prognosis. Our lab has recently demonstrated that Coxsackievirus B3 (CVB3) is a potent oncolytic virus against KRAS-mutant NSCLC. Nevertheless, it was observed that efficient tumor suppression is accompanied with damage to multiple organs, particularly the heart. Here we propose to develop an innovative CVB3-based oncolytic virus with enhanced tumor-specificity. If a therapeutic effect is achieved, the clinical significance may grant Virogin Biotech Ltd. one possibility to provide the first-ever effective and safe treatment for this deadly disease for Canadians.

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Faculty Supervisor:

Honglin Luo

Student:

Huitao Liu

Partner:

Virogin Biotech Canada Ltd

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Accelerate

Using Marine Technology to Develop a Gulf Islands Marine Biology Education and Outreach Program

With the increase of human impacts on the ocean, more effective and engaging environmental education is needed to inspire action. The Galiano Conservation Association (GCA) aims to educate the public about marine conservation issues around Galiano island. The intern will help GCA to understand how to improve their marine education program, using underwater video technology to bring an audience to otherwise inaccessible environments. Once new programs are implemented, a plan for testing the efficacy of new programs will be developed. This will allow GCA to regularly evaluate its marine education programs and incorporate marine technology in the most effective way.

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Faculty Supervisor:

John Volpe

Student:

Desiree Bulger

Partner:

Galiano Conservancy Association

Discipline:

Environmental sciences

Sector:

Education

University:

Program:

Accelerate

Evaluating effects of local, landscape, and regional factors on Bobolink (Dolichonyx oryzivorus) nest survival

The bobolink (Dolichonyx oryzivorus) is a migratory songbird that is currently a species at risk in Canada due to steep population declines. Because bobolink nest on the ground in pastures, hayfields, and other grassland-type habitats, nest success and abundance may be influenced by various environmental factors. Our goal is to understand whether these factors directly or indirectly affect bobolink nest success. This is important as it will contribute to filling current knowledge gaps regarding bobolink breeding success. We will analyze nest success using nest data collected throughout southern Ontario and will incorporate factors including agricultural use, the landscape surrounding grasslands, and differences across regions (i.e., temperature, weather) to understand which factors are associated with high or low nest success. Results will guide efforts to conserve this species at risk by identifying the environmental conditions favourable for nesting bobolink.

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Faculty Supervisor:

Erica Nol

Student:

Monica Fromberger

Partner:

Bird Ecology and Conservation Ontario

Discipline:

Environmental sciences

Sector:

Life sciences

University:

Program:

Accelerate

Gelatin modified separator for dendrite free metal anode

In commercial batteries, metal anode-based batteries, mainly using zinc or lithium as the anode, provide higher battery capacity than traditional metal ion batteries. Lithium metal anodes have a theoretical specific capacity 10 times higher than commercial lithium ion batteries with graphite as the anode. Zinc anodes are excellent anodes for use in aqueous batteries, because they offer the highest energy density of all aqueous battery systems and low cost. [2] However, formation and growth of metal dendrites during charge/discharge cycles shortens cyclability of metal-anode batteries; this represents a major challenge for their commercialization. We propose a solution to prevent dendrite formation: we will develop a novel separator by gelatin modification, which will enable uniform deposition of metal ions and inhibit dendrite formation. Outcomes of this research will enable the partner organization to reduce production costs, increasing the size of the market and increase the company’s profits; further increasing their competitiveness within the battery industry.

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Faculty Supervisor:

Pu Chen

Student:

Shengkai Li

Partner:

D&H Partners Ltd

Discipline:

Engineering - chemical / biological

Sector:

Energy

University:

Program:

Municipal Biological Nutrient Removal Bioreactor Upgrade Using Membrane Aerated Biofilm Reactors (MABR): Pilot Scale Investigation

Nitrogen and phosphorus are sources of eutrophication (e.g., “blue-green algae bloom”) in rivers and lakes. The bloom of blue-green algae can significantly affect aquatic lives and human activities because of the toxins that they produce. Therefore, it is crucial to reduce the nitrogen and phosphorous concentrations in municipal wastewater discharges. Conventional treatment techniques using activated sludge (AS) based biological nutrient removal (BNR) process often experiences system deficiency at low temperature (winter) and under increased hydraulic loads (e.g., snow melting events). In this study, pilot-scale membrane aerated biofilm reactors (MABR) will be tested to for their efficiency in the BNR process. Comparing to the conventional AS setup, the MABR configuration is more robust to system shocking and more energy efficient. The success of this project is expected to provide technical support for the future full-scale implementation of the MABR-BNR process at EPCOR’s GoldBar Wastewater Treatment Plant.

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Faculty Supervisor:

Yang Liu

Student:

Huixin Zhang

Partner:

EPCOR Water Services Inc

Discipline:

Engineering - civil

Sector:

Environmental industry

University:

Program:

Accelerate

An order-reduced simulation framework for 3D multiscale geophysical electromagnetic problems

The goal of this research is to investigate the extension of upscaling and multiscale methods and their application to efficiently simulate (frequency-dependent and time-dependent) electromagnetic fields in geophysical scenarios that include metallic-cased boreholes and fractures filled with conductive/resistive fluids. Simulating this type of geophysical settings is quite challenging because they consider highly heterogeneous media and features at multiple spatial scales that require a very large mesh to be accurately represented. This results in a system of equations to be solved that often exceeds the limits of average computers. Thus, the key is to reduce the problem size but retain the accuracy of the electromagnetic responses, which is what upscaling and multiscale methods aim to do efficiently. The research-based solution proposed in this project is relevant to advance the prediction and simulation capabilities for geophysical electromagnetic problems in the context of Hydraulic fracturing. TO BE CONT’D

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Faculty Supervisor:

Eldad Haber

Student:

Luz Angelica Caudillo Mata

Partner:

Computational Geosciences Inc.

Discipline:

Geography / Geology / Earth science

Sector:

Oil and gas

University:

Program:

Elevate

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