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

Goal-oriented Safety-Guided Design and Assurance for FinTech

With the increasing popularity of digital assets such as cryptocurrencies, many financial technology (FinTech) systems have become safety critical. However, current FinTech system development approaches often lack the rigorous safety practices found in the aerospace, nuclear, automotive, and military industries. To address safety concerns of FinTech stakeholders (users, but also regulators and financial institutions), this project aims to support FinTech system development with safety-guided design principles, with goals elicited from stakeholders and results clearly communicated to them using appropriate models. The intern will use and adapt standard requirements engineering modelling notations, hazard causation theory, and assurance cases to develop safety-guided design principles. This will be done through a digital asset management case study of value to and provided by the partner organization. This will help the partner organization to more rigorously assess and demonstrate to other stakeholders the safety of its FinTech solutions.

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Faculty Supervisor:

Daniel Amyot

Student:

Seyed Sepehr Sharifi

Partner:

Brane Capital

Discipline:

Engineering - computer / electrical

Sector:

Finance, insurance and business

University:

University of Ottawa

Program:

Accelerate

Exploring Consumer and Restaurant Employee Perspectives Towards Food Allergy Risk Communication Strategies

Our research studies aim to gain a better understanding of how restaurants communicate risk to people with food allergies from the perspectives of customers and restaurant staff. We seek to understand what methods are used to communicate risk, what methods are most effective, and what strategies restaurants take to make the public aware of the risks and risk-mitigation efforts at their restaurant. This study is being conducted in partnership with May Contain, a startup incubated at Ryerson University which aims to make eating at restaurants easier for people with food allergies through a mobile application. The information gleaned from these studies will accelerate May Contain’s work to better serve the food allergy population.

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Faculty Supervisor:

Nick Bellissimo

Student:

Nathan Battersby;Reeda Mahmood

Partner:

Science Discovery Zone

Discipline:

Biology

Sector:

Service industry

University:

Ryerson University

Program:

Accelerate

Determination of Structural Behavior of UHPC Decked-I-Beam

This Mitacs project will develop and determine the structural performance of a novel bridge construction method using precast girders and precast deck slabs made of ultra high-strength and durable concrete. Full-scale tests and computer simulations will be conducted to accomplish the goal of this project. The test data obtained from this study will be analysed to determine the performance and suitability of this beam girder for its use in large-span vehicular road bridges. Such bridge girders and decks, if found successful, will be used to build Canada’s first vehicular road bridge made of ultra high-strength concrete. This will certainly bring Canada into the elite club of building road bridges using high performance concrete. The work will be completed by one doctoral student and one master’s student under the guidance of Dr. S. Das at the University of Windsor and Mr. P. Loh at Facca Incorporated with the help of two experienced lab technicians.

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Faculty Supervisor:

Sreekanta Das

Student:

Bruno Paini

Partner:

Facca Incorporated

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

University of Windsor

Program:

Accelerate

Generalized framework for Prescriptive Machine Learning using IoT datastreams.

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve energy management and agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables of interest. This data is then used to forecast a future state and to make a well informed business/operation decision according to an expected future state. One of the challenges in application of such technology is to improve prediction accuracy of the forecast without compromising operating cost or the time it takes to make a prediction. This project will design a generalized framework based on machine learning and deep learning methodologies to improve prediction accuracy.

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Faculty Supervisor:

Pawan Lingras

Student:

Fazal Momin

Partner:

Hanatech Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Saint Mary's University

Program:

Accelerate

Energy reduction in HVAC systems in a commercial building environment using data-driven approaches

The main goal of this project is to develop data-driven approaches to reduce energy consumption and cost when operating commercial building’s cooling systems. Indeed, according to recent studies the building sector is one of the largest energy-consuming entities (almost 40% of global energy consumption) and this consumption is predicted to increase by 50% by 2050. Thus, there is an urgent need to provide solutions to reduce energy consumption taking into account the importance to improve environmental sustainability and the increase of electricity prices. HVAC (Heating, Ventilation, and air-conditioning) systems dominate energy usage in commercial buildings (between 40 and 70% of the total electricity consumption). In this project, we propose to tackle several challenges to improve Brainbox solutions related to HVAC systems.

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Faculty Supervisor:

Nizar Bouguila

Student:

Fatma Najar

Partner:

BrainBox AI

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Advancement of Hyperimmune candidates against select pathogens from the Antibody Therapeutics Business Unit’s Lead Generation Program

At Emergent BioSolutions our vision is to “Protect and Enhance Life”. The Antibody Therapeutics Business Unit focuses on applying immunotherapies to prevent and treat human infectious diseases. This includes finding effective strategies to meet existing and emerging threats to public health and intentional biothreats. As part of these efforts the Lead Generation Program was created to address bacterial, viral and fungal pathogens. MiTacs interns will play a role in these efforts by further strengthening ties between academia and industry, applying new methods and innovations, alongside proven technologies to advance lead candidates towards clinical evaluation and licensure.

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Faculty Supervisor:

Sean McKenna

Student:

Amit Koul

Partner:

Emergent BioSolutions

Discipline:

Chemistry

Sector:

Pharmaceuticals

University:

University of Manitoba

Program:

Accelerate

“Minimally invasive mechanical circulatory support scientific data acquisition”

Heart failure is a prevalent disease affecting 250,000 people in North America alone. This disease can be treated by the transplant of a donor organ, but insufficient donor organs have led to the development of mechanical circulatory support which now provide a reliable alternate treatment option for patients. Unfortunately, many patients that could be helped by a mechanical circulatory support are deemed ineligible due to the invasive, open- heart surgery that is required to install such devices. Puzzle Medical Inc. is researching a novel pump design that can deployed non-invasively to increase the availability of mechanical circulatory support to high risk patients. An important consideration for the development of this device is to have a high quality in-vitro and in-vivo study by gathering a lot of data from test benches and animal trial. These data will be gathered and compared to in-vivo (pigs) study in the next 5 months while testing their deployment/retrieval mechanism in a real live body.

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Faculty Supervisor:

Javad Dargahi

Student:

Saman Namvarrechi

Partner:

Puzzle Medical Devices

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Concordia University

Program:

Accelerate

Against the Grain: The nutritional impact of dietary gluten avoidance in the Canadian population

Celiac disease, non-celiac gluten sensitivity, wheat allergies and dietary gluten avoidance for other reasons appear to be on the rise in Canada. However, prior to the recently released Canadian Community Health Survey, there has never been an opportunity to investigate dietary gluten avoidance using recent, representative survey data collected throughout Canada. It is important to know the burden of gluten avoidance in Canada and who is affected to advocate for resources. This project will examine estimated nutrient intakes using 24-hour dietary recall data of those adhering to a gluten-free diet (GFD) from a nationally representative sample of Canadians. The outcomes of this study will allow us to describe the potential for nutritional deficiencies among Canadians who adhere to a GFD. This is an opportunity to provide a benchmark by which future studies can assess changes in gluten avoidance in the Canadian population over time using future Canadian survey data. This study will also provide a framework for change and initiatives in the food environment in response to how people following a GFD eat, and what challenges they may face.

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Faculty Supervisor:

Natalie Riediger

Student:

Adriana Mudryj

Partner:

Canadian Celiac Associaion

Discipline:

Food science

Sector:

Life sciences

University:

University of Manitoba

Program:

Accelerate

Preparatory research to enable the implementation of a multi-site research project: Getting it right – Pharmacist-led pharmacogenetic testing in community pharmacies

Making sure patients have well controlled post-operative pain is imperative for patient well-being, optimal recovery, and to prevent chronic pain from developing. Opioid medications are often used to treat post-surgical pain, but some people respond in unpredictable ways and this may be related to their genetics. Pharmacogenetic (PGx) testing is a way of finding out how people’s genes affect the way they respond to medications. Community pharmacists as medication experts are ideally positioned to provide PGx testing for patients awaiting surgery, educate and consult with patients about PGx and communicate results to appropriate health professionals.
The aim of this project is do the preparation work for future research which will involve community pharmacists providing a PGx testing service to identify patients at risk for poor pain control after surgery. Information will be collected about patients identified through PGx, changes pharmacists recommend to patients’ medications and feedback from patients and health professionals involved about their experience. It is important to get pain control right. But first we need to do the preparatory work, collaborate with health professionals and other decision makers to develop the study processes and provide education about PGx.

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Faculty Supervisor:

Lisa Guirguis

Student:

Bernadette Chevalier

Partner:

Applied Pharmaceutical Innovation

Discipline:

Pharmacy / Pharmacology

Sector:

Pharmaceuticals

University:

University of Alberta

Program:

Accelerate

3D Active SLAM for Mobile Mapping of the Interior of Floating Roof Fuel Tanks

Mapping of pipelines and tanks is the first step toward providing an inspection service. Until now, this has been a manual process that is very time and resource consuming. The research proposed would allow for an unmanned vehicle to map the area without the need for humans. It will result in the creation of a hardware and software platform that can be used to map an enclosed space efficiently and accurately. The approach taken will allow for upgradeability as new technology emerges. ROSEN Group is the partner organization for this group. They benefit by having a core procedure for their business automated. Without human involvement, the safety of the procedure is also improved.

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Faculty Supervisor:

Homayoun Najjaran

Student:

Kai Neubauer

Partner:

ROSEN Canada Ltd

Discipline:

Engineering - other

Sector:

Oil and gas

University:

Program:

Accelerate

Development of a comprehensive feminist performance evaluation framework for international Sexual-and-Reproductive-Health-and-Rights (SRHR) development programs: The case of Inter Pares

The main objective of this short-term Mitacs project is to gather evidence through research to support Inter Pares’ development of Performance Evaluation Framework for their upcoming SRHR program, which aims to improve the sexual and reproductive health and rights of women and adolescent girls in the global south. To learn from the program implementation and to show accountability to stakeholders Inter Pares requires to develop a PEF prior to the launch of the program. However, Inter Pares, as most other non-profit organizations, lack the essential research expertise, resources, and capacity to develop project performance evaluation framework. This research will conduct necessary research for the development of an effective PEF for their needs. It will conduct literature review and thematic analysis to develop a feminist evaluation framework, a set of relevant indicators and relevant data collection techniques. It will be significant for Inter Pares to develop their current and future projects, to secure future funding and donation, to effectively advocate SHR programming to improve their programming.

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Faculty Supervisor:

Annette Burfoot

Student:

Derya Gungor

Partner:

Inter Pares

Discipline:

Sociology

Sector:

Health care and social assistance

University:

Queen's University

Program:

Accelerate

Analytics on 5G – Topology through PM correlation

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network operations. This project will look at integrating new advanced intrepretable Artificial Intelligence and Machine Learning techniques to tackle different challenging networking tasks (e.g. traffic prediction, anomaly detection, topology discovery, etc.). All layers of the ENCQOR Network will be looked at over the 2 year program.

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Faculty Supervisor:

Nizar Bouguila

Student:

Kamal Maanicshah Mathin Henry;Yogesh Pawar;Shuai Fu

Partner:

Ciena Corp.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

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