Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
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5105
BC
825
MB
681
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860
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9051
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9491
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97
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586
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1141
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Projects by Category

The development of CO2-switchable polymers as draw solutes for forward osmosis

Current methods for concentrating (removing water from) food and drinks for their transportation and/or storage rely on thermal or ultraviolet processing that is ultimately detrimental to the food product. This research proposes a novel method to remove the water that is based on forward osmosis, which solely depends on the ability of the draw solution to “draw” the water from the food across a membrane without the need to use pressure or heat. As might be anticipated, the need for complete recovery of the draw agent is of paramount importance for reducing the risks of contaminating or tainting the food product and depends on the choice of draw agent. We believe that the use of CO2-switchable polymers offers an ideal solution – as the polymers cannot back-diffuse into the food product and can easily be removed from solution after CO2 has been removed from the solution.

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Faculty Supervisor:

Michael Cunningham

Student:

Partner:

Forward Water Technologies

Discipline:

Physics

Sector:

Utilities

University:

Queen's University

Program:

Accelerate

Data Poverty Project

In many developing countries, it is very difficult to survey vulnerable groups in a way that provides reliable research findings. These surveys also only give limited insights into the experiences of these populations. This project will develop a software program that can be used to model the probability of events occurring given the estimated probability of other events. These models can be developed with a small group of individuals and can give a better insight Into the network of events underlying the experiences of vulnerable groups. This software can also help organizations make better decisions by providing quick predictions based on their expert opinions or data analysis.

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Faculty Supervisor:

Bruce Frayne

Student:

Partner:

Accelyst Technologies Limited

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Solar Heat Energy Storage and Solar Roof De-Icing Technology for BIPV Living Lab Pro

The first part of the project will be to determine the best material to store heat energy produced by the OM solar system. This project will look into the solar energy and heat capacities of various materials. CRE will befit by being able to choose the best material for heat storage in there home. The intern will benefit because they will get first hand experience in sustainable construction, heating and cooling of a sustainable home.

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Faculty Supervisor:

Shahria Alam;Rehan Sadiq;Kasun Hewage;Jian Liu

Student:

Partner:

CRE Green Consulting Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

A nanostructured surface for ultrasensitive detection of illicit drugs in oral fluids

Drug-impaired driving is a growing threat to the safety of road users in North America and Europe. In Ontario, over 10% of the total road fatalities involved drugs and 36% of fatally injured drivers had drugs in their system while driving. Point-of-care testing (POCT) devices, akin to the Approved Screening Device (ASD) test for alcohol, are time- and cost-efficient tools for providing enforceable means of determining impairment by drugs in drivers at the roadside. The goal of this project is to develop a nanostructured surface that can be used as a drug sensor in a novel POCT device that will “sniff out” trace quantities of drugs, such as cannabis and cocaine, in oral fluids. Our partnership with Spectra Plasmonics with support the research work of a Master’s student who will adapt to this task a nanostructured surface that was recently invented by our research group.

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Faculty Supervisor:

Aristides Docoslis

Student:

Partner:

Spectra Plasmonics Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Improved Thermoplastic to Oil Pyrolysis Process Technology with Advanced Plasma Technology

The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating cost, cleaner thermal source, shorten reaction time and provide high quality hydrocarbon gasoline and diesel. The research project involves developing a highly efficient RF thermal plasma system that can work in pyrolysis reactors. The partner organisation will start to utilize thermal plasma systems in their chemical reactors and drive the waste management industry forward by reducing operating cost of plastic to oil.

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Faculty Supervisor:

Hossam Gaber

Student:

Partner:

Pro-Flange Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Ontario Institute of Technology

Program:

Accelerate

Development of the Feldan Shuttle platform / Amélioration de l’activité cytotoxique des cellules Natural Killer (NK) en utilisant une stratégie d’invalidation de gène(s) cible(s) par technologie CRISPR

Feldan Therapeutic developed the Feldan Shuttle platform, a breakthrough peptide-based delivery method that allows the introduction of foreign proteins inside cells. The Feldan Shuttle overcomes delivery obstacles in therapeutic context by providing a safe and highly efficient approach that is associated with low regulatory burden. The Shuttle platform can transfer active nucleases and transcription factors inside several types of cells; moreover, preliminary results in rodents suggest that the Shuttle has a promising potential for in vivo applications.
The Mitacs project described herein will allow the characterization of the in vivo and ex vivo capabilities of the Shuttle platform while allowing the development of more active Shuttles, three elements that will promote the growth of Feldan and will permit to carry forward its clinical aspirations. TO BE CONT’D

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Faculty Supervisor:

Frédéric Calon;Elie Haddad

Student:

Partner:

Feldan Therapeutics

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université de Montréal; Université Laval

Program:

Accelerate

A fuzzy logic based alert propagation system for temporal tracking of clinical samples

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of clinical sample collection and management is performed manually. This makes the operation error prone and limits its scalability. The primary goal of the proposed research is to improve the sample tracking by use of a fuzzy logic system and a novel alert system. This will allow Clinical Logistics to improve sample tracking and will ensure that it is able to provide the clients with the clinical samples with highest quality. Such a tracking system, being scalable will also allow clinical logistics to attract more business. TO BE CONT’D

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

Clinical Logistics Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Creating personality based coaching manuals to manage leader Counterproductive Work Behaviours and improve leadership interpersonal competencies

Counterproductive Work Behaviours (CWB) refer to negative behaviours in the workplace that hinder organizational effectiveness. CWB ranges from violence and harassment to stealing and drug consumption on the job. Despite its importance and prevalence, little attention has been paid to leader CWB, as the focus has been mainly on employee CWB. Leader CWB, could be largely attributed to negative aspects of individuals’ personality. Therefore, the first objective is to discover what types of personality based CWB are more prevalent in leaders. Also, given the lack of practical guidelines in the literature on how to manage and diminish CWB in leaders, the second objective is to create coaching manuals for organizational consultants that let them identify CWB patterns in leaders and help leaders overcome their negative behaviours in their workplace. This project is in line with the partner organization’s mission of translating knowledge to practical management guidelines for consultants and leaders.

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Faculty Supervisor:

Catherine T Kwantes

Student:

Partner:

Expert Insights International Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Maintenance Recommendation – Downtime Adaptive Learning

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, data was expensive, and more challenging to process. Fortunately, today there are many sensors and servers which collect and report thousands of measurements. Internet of Things (IoT) produces large amounts of data. The current problem is to have an optimised system to leverage all this information.
The desired output of this internship is to design a system that can predict the failure of a device in a manufacturing line and suggest a maintenance action prior to the failure of each device. TO BE CONT’D

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Faculty Supervisor:

Hannah Michalska

Student:

Partner:

NexJ Systems Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Development of the Social Acoustic Metrics for Aircraft Noise Annoyance to Facilitate the Management of Community Expectations

The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with community noise annoyance. Part of the research will involve the development of a model using different metrics (including noise, social and psychological criteria) which can be used to predict and measure community annoyance to aircraft noise. Using this model, the development of a community outreach and education program which addresses the specific outcomes of the above investigation will be delivered. A comprehensive report of the findings of the research will be prepared. TO BE CONT’D

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Faculty Supervisor:

Colin Novak

Student:

Partner:

Greater Toronto Airports Authority

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

University of Windsor

Program:

Accelerate

Amélioration de la digestibilité des fourrages et diminution de la production de méthane chez les ruminants par l’optimisation de l’efficacité des protozoaires du rumen

Les camélidés partagent certaines caractéristiques anatomiques et physiologiques avec les ruminants. Bien que les camélidés aient une particularité microbienne telle que la présence d’un type de protozoaire spécifique à eux ‘’type B’’ et un genre spécifique nommé Butchlia permettant une meilleure digestibilité des fourrages par rapport aux protozoaires ‘’type A’’ chez les ruminants, on dispose aujourd’hui des éléments scientifiques fiables qui ont permis d’éclaircir certains phénomènes se rapportant à l’ingestion. Il faut souligner aussi que les travaux de recherche scientifique sur le système microbien et la composition de la biomasse microbienne des camélidés demeurent rares et en particulier la protozoologie par comparaison à la bactériologie. TO BE CONT’D

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Faculty Supervisor:

Dany Cinq-Mars

Student:

Partner:

Institut de Recherche et de Développement en Agroenvironnement

Discipline:

Life Sciences

Sector:

Agriculture; Education; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Machine learning prediction on embedded systems

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints.
Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. and each of them have their own trade-offs and Impact speed, accuracy and energy efficiency differently. Understanding these trade-offs will help a programmer to select from the arsenal of optimizations based on their target application. For example, a latency sensitive real-t1me apphcabon may tolerate inaccuracies, and another apphcat1on may need high accuracy. We want to explore optimization techmques needed to execute machine learning inference algorithms for embedded dev1ces and suggest the1r trade-offs on speed, energy, and accuracy.

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Faculty Supervisor:

Arrvindh Shriraman

Student:

Partner:

Form Swim

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Manufacturing and Construction

University:

Simon Fraser University

Program:

Accelerate

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