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

Deployment of motion platform control architecture for a high-fidelity driving experience in simulators

Realistic driving experience in motion simulators is a key element for the impressiveness of the VR based simulators. In the driving simulator the free motion of the vehicle is mapped to a motion platform with limited workspace by filtering out the motion and scaling it down with a motion cueing algorithm. These algorithms should be designed in such a way to give a feeling to the users as if they are driving a real vehicle.
The output of the previous stage needs to be fed to actuators of a simulator so that they can apply the required forces and torques to the system to generate the desired motion cues to the user. However, these forces are felt by the user in terms of accelerations and the media between the user and the actuators is the structure and dynamics of the simulator. Therefore, one needs to know the model of the simulator. Then, there is a need to interpret these desired feelings by the user in terms of the actuator forces and motor torques which are obtained by a set of secondary control filters. Therefore, we need to first identify a mathematical model of the platform and tune its parameters.

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Faculty Supervisor:

Amir G. Aghdam

Student:

Hamed Molaei;Masoud Roudneshin

Partner:

Touché Technologies

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Development of a polishing treatment process (PTP) for anaerobic digester centrate

The production of biogas via the anaerobic digestion of organic waste is a growing industry in Canada. One benefit of this approach is that the resultant organic waste (digestate) can be dewatered and used as fertilizer; however, the removed water fraction remains rich in organic compounds and must be adequately treated before being discharged from the plant, which can be quite costly. This research, conducted in partnership with Anaergia, will investigate the use of a novel dissolved air flotation-nanofiltration process (DAF-NF) as an additional treatment step to supplement Anaergia’s current approach of using a membrane bioreactor (MBR) to treat wastewater. Since no prior research has explored the treatment of MBR effluent produced via anaerobic digestion, and since the treatability of wastewater via this new process depends on the characteristics of the wastewater, we will use lab- and pilot-scale studies to assess the proposed process’ viability

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Faculty Supervisor:

David Latulippe

Student:

Abhishek Premachandra

Partner:

Anaergia Inc.

Discipline:

Engineering - chemical / biological

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Design Development for Prefabricated Building Components using Hemp and Lime

The intern will work with a multi-disciplinary research team from architecture, civil engineering, mechanical
engineering, biology, business development and materials research in the design development phase of a project
to create a bio-mass panel prototype from cellulose (hemp biomass). As the most abundant organic polymer on
the planet, cellulose is currently emerging as a sustainable material alternative to plastics and other non-recyclable
materials. Using sustainable feedstocks (industrial hemp and old corrugated cardboard) and water, this research
project uses a matrix of nano/micro fibrillated cellulose to create components for a prefabricated building system:
flat stock and aerogels combined as a structural insulated panel (SIP). SIPS are currently used in the construction
industry using combinations of spray foams, toxic adhesives and non-recyclable materials. Currently, the NMFC
has been used to successfully create extremely durable and resilient sheets, tubes and aerogel, so this project is
aimed at scaling up this material for use in building construction. This project will engage the intern with academic
advisors, industry and business leaders in the early stages of this interdisciplinary project focussing at providing
a healthy and sustainable alternative for the Canadian construction industry.

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Faculty Supervisor:

Sheryl Boyle

Student:

Robin Papp

Partner:

Hurd Solutions Inc

Discipline:

Architecture and design

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

SPT-based Methods for Estimating Installation Torque and Capacity of Helical Piles

Helical piles are extensively used across Canada in various engineering applications. Current design methods estimate the axial capacity of helical piles using soil strength parameters when site investigation is available. Alternatively, helical piles can be designed from an empirical torque correlation when installation torques are available. However, it will be more valuable to the industry to have direct design approaches based on geotechnical site investigation. Greentown Homes Ltd., the industrial partner in Edmonton, has built numerous foundations using helical piles in various soil conditions in Alberta. For the proposed project, the intern will first supervise in-situ pile installation of building foundations, record torque values, and collect geotechnical properties of soil at different sites. The intern will compile and analyze the Greentown database of site investigation and installation torques. Using the Greentown and other databases, the intern will develop an empirical method for helical capacities based directly on the SPT, and an empirical correlation between the torque and SPT blow counts.

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Faculty Supervisor:

Lijun Deng

Student:

Yiwen Zhang

Partner:

Greentown Homes

Discipline:

Engineering - civil

Sector:

University:

University of Alberta

Program:

Accelerate

Assessment of aeration performance and energy consumption of different biological wastewater treatment systems for small communities in Ontario

Attached growth wastewater treatment processes such as the rotating biological contactor (RBC) have been recognized as more energy efficient compared to suspended growth processes. Hannah Environmental Equipment Inc. specializes in producing high energy efficient RBC systems providing high modular flexibility suitable for various plant sizes. The proposed project aims to assess the application of RBCs in the Canadian environment and compare that to current secondary wastewater treatment technologies in terms of energy efficiency, treatment performance, and environmental impact. This study will provide a comprehensive energy and cost assessment of the RBC ?technology and its capacity for greenfield and retrofit applications ?to increase treatment capacity, reduce treatment costs, and provide opportunities for energy savings and reduction in greenhouse gas emissions. The analysis will provide scientific evidence based on real data from local wastewater treatment plants to allow Hannah to accelerate their growth and optimize their performance in the Canadian market with their RBC technology.

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Faculty Supervisor:

Rania Hamza

Student:

Mohammad Elassar

Partner:

Hannah Environmental Equipment Inc.

Discipline:

Engineering - civil

Sector:

Energy

University:

Ryerson University

Program:

Accelerate

Development of Deep Learning-based Speech Recognition Algorithm for FPGA

Automatic speech recognition (ASR)-based services have become an indispensable part of our daily life, thanks to products such as Apple Siri, Google Home, and Amazon Alexa. More and more smart home appliances are also controlled by voice. However, most of these services rely on speech recognition and natural language understanding services running in the cloud, but this introduces delay that sometimes is not acceptable. There are also some applications where there is no WiFi or cellular network to connect to the cloud. Therefore there is a need to develop a local speech recognition system with high performance. In this project, we will develop a deep learning neural network-based speech recognition algorithm using the latest technologies that are suitable for embedded systems, such as the Transformer. We will then work with the partner company to port the algorithm into a FPGA- based System on Chip (SoC) product.

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Faculty Supervisor:

Jie Liang

Student:

Binglin Li

Partner:

Fraser Innovation Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Portable COVID-19 diagnostic system using saliva sample

This project aims to develop an easy-to-use and cost-effective saliva test, fitted for COVID-19 diagnosis and
surveillance via multiplexed detection of SARS-CoV-2 viruses, COVID-19 specific antibodies immunoglobulin M and immunoglobulin G within 15 minutes. The supported intern will join a team, consists of researchers at the University of Waterloo and personnel from the partner organization, to leverage an existing point-of-care testing (POCT) platform, develop a standard test protocol, and evaluate test performance.
The proposed saliva test is designed to address the urgent need for fast, accurate, large-scale COVID-19 testing possible for a wide range of businesses and infrastructures. Potential locations include senior homes, factories, academic institutes. The multiplexed detection of virus and antibodies is highly desirable to improve the overall test sensitivity and specificity, as well as provide valuable information for predicting patient trajectories or determining infection history. The partner organization will benefit from the knowledge generated and expertise the intern brings to the project. The partner organization intends to commercialize the resultant product and will be consequently benefit from the project.

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Faculty Supervisor:

Xiaowu Shirley Tang

Student:

Yun Wu

Partner:

LeNano Diagnostics

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Climate-related Disclosure Best Practices

Mantle314 is developing a software platform (Manifest) that will help companies to learn, assess, manage and disclose climate-related risks and opportunities. Mantle314 is currently working on minimum viable product (MVP) experience which will be the first step toward automating an end-to-end climate change-related planning and disclosure process. This first experience will help a company to assess its own disclosure against climate leaders and peers, and create TCFD-aligned outputs for internal and external communications and reporting.
To understand the current state of play of what good climate-related disclosure looks like, as part of this project, interns will be reviewing climate content from a sample of companies using the Mantle Assessment methodology to research sector specific practices as it concerns TCFD Recommendation implementation and climate actions. The aim is to find climate leaders and define best practices for each sector. This research and its content will be used in MVP for benchmarking and showcasing best practice.

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Faculty Supervisor:

Olaf Weber;Jason Thistlethwaite

Student:

David Billedeau;Adeboye Oyegunle

Partner:

Mantle314

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Identification of potential resins in hemp fast pyrolysis oil

Hurd Solutions develops plant based materials to replace single-use petroleum based plastics. Hemp straw, a residue of hemp processing, is of particular interest to Hurd Solutions as it represents an underutilized value added product that would further reduce the environmental footprint of the hemp industry. This work will perform a comprehensive literature review of the work in phenolic resins from plant-based materials and suggest future directions/work. The py-oil is produced by ABRI-Tech Inc for Hurd Solutions (using hemp straw provided by Hurd Solutions) in a one tonne/d pyrolysis system.

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Faculty Supervisor:

Kelly Hawboldt

Student:

Mahsan Basafa

Partner:

Hurd Solutions Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Computational Modelling of Cannabidiol Fluorination

Cannabidiol, is a non-intoxicating cannabinoid has anecdotal and preliminary evidence as a treatment for pain, anxiety, nausea and seizures. This project aims to identify the configuration of CBD when bound in the brain. We will use established computational techniques that have not been applied to CBD binding to calculate the pose that CBD adopts when bound to the type 1 cannabinoid receptor (CB1). Using the identified configuration, we will design modifications to CBD that will increase the potency of CBD and duration of benefit, without introducing side effects. We will then use computational methods to investigate the effect of the CBD modifications to CB1 receptor binding. Iteration of the design and testing steps will continue until we identify CBD modifications that result in improved CBD binding to the CB1 receptor. Developing an improved CBD derivative into a new treatment will raise the profile of CBDV.

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Faculty Supervisor:

Glenn Sammis

Student:

Tom Dupree

Partner:

Complex Biotech Discovery Ventures Ltd.

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

University of British Columbia

Program:

Accelerate

Standardized ginseng polysaccharide extracts for immune health

The COVID-19 pandemic is unlike anything the world has seen in over a century, both in terms of global spread and economic impact. Certain individuals particularly the elderly and those with underlying diseases, are more susceptible to severe infection and dysregulation of the immune system. Since the recent outbreak, many more individuals have been taking immune stimulating natural health products (NHPs) to promote better immune health. Unfortunately, quality of most NHPs in Canada is not regulated to a high standard. This proposal will focus on producing a high quality immune-boosting ginseng polysaccharide(s) (G-PS) extract using WPC’s regular and thermal-processed American red ginseng that are standardized to guarantee delivery of a minimum dose of the specified immunostimulating G-PS. This will enable the refinement of design of novel polysaccharide-based immunomodulation nutraceuticals, such as PS nanoparticles, and provide scientific and clinically relevant evidence to support their health claims.

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Faculty Supervisor:

Baoling Chen

Student:

Michael Dunford;Ryan Principi

Partner:

Western Phytoceutica Inc.

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

Lambton College

Program:

Accelerate

Accelerated and sensitive detection of (bio)chemical analytes through active capture on Surface-enhanced Raman scattering (SERS) chips

Surface enhanced Raman scattering (SERS) is emerging as a promising technique for rapid, ultrasensitive and highly specific (bio)chemical detection. SERS has been successfully used for the detection of minute quantities of illicit drugs, food contaminants, environmental pollutants, even bacteria and viruses. Unfortunately, like most other surface-based detection methods, SERS also suffers from the same bottleneck, namely the slow transport of the target analyte from the bulk of the sample to the detection surface (also known as sampling). The purpose of this Mitacs internship is to develop a SERS-based methodology that overcomes the limitations imposed by a slow sampling process. Using our patent-pending technology for making “smart’ SERS substrates, and working closely with Spectra Plasmonics, the intern will develop experimental testing protocols for accelerated sampling and detection of target molecules from liquid samples. An ultrasensitive SERS substrate that can rapidly and selectively capture and identify a unknown molecules from a complex sample will be an enormous advancement to the state-of-the-art of analytical detection methods.

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Faculty Supervisor:

Aristides Docoslis

Student:

Shamimeh Azimi

Partner:

Spectra Plasmonics Inc

Discipline:

Engineering - chemical / biological

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

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