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

Improvement of pyrolytic oil quality by physical and chemical technologies for replacing fossil fuel in heating system

The depletion of fossil fuels and the negative impacts of their extraction and combustion on the environment have encouraged scientists and industrial stakeholders to explore the development of alternative, and renewable energy resources such as bio-oil, which can be produced from biomass by pyrolysis and bio-oil upgrading. The main disadvantages of crude bio-oils derived from fast pyrolysis are their poor quality caused by the presence of water and oxygen compounds, high viscosity, instability during storage,  low heating value, and high acidity to be used as a fuel in heating systems. In this research project, we propose an innovative integrated upgrading process (optimized sequential physical and chemical upgrading system) to produce high quality bio-fuel applicable in modified burner. INRS and IRDA will combine their respective expertise in energy and environmental processes to offer industrialists a technological approach based on the green energy. The aim of this project is to study on bio-oil upgrading in a laboratory scale in terms of the various influencing factors on condensing system and catalytic process, such as temperature and catalyst type in order to establish a strategy for scaling up the biofuel production process using domestic (Canadian) biomass like switchgrass.

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Faculty Supervisor:

Patrick Drogui

Student:

Ali Khosravanipour Mostafazadeh

Partner:

Institut de recherche et de développement en agroenvironnement

Discipline:

Environmental sciences

Sector:

Agriculture

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Elevate

Using technology to measure, map and magnify the impact of due diligence programs in artisanal mining communities in Eastern D.R Congo

Ulula is a company that provides software and analytics to create responsible supply chains. In 2018, Timothy Makori, Ulula and the International Peace Information Service (IPIS), an independent research organization working on issues related to artisanal mining in Eastern Congo, undertook a baseline study assessing the social, economic and human rights impacts of initiatives promoting traceability and responsible artisanal mining in Eastern Congo. We found that these initiatives, which are a means of conducting due diligence in the tin, tantalum, tungsten and gold supply chains, had limited impact on miners’ economic welfare, reported accounts of violence, child labour and forced labour. In 2019, we intend to do a second phase of the project to measure the progress of due diligence programs based on the social, economic and human rights indicators employed in the baseline study. By using both observational and perceptual information from miners and people living in mining communities to measure the progress of due diligence initiatives in Eastern Congo, Makori and Ulula aim to create a database of shared knowledge on due diligence programs to be used by regional governments, international organizations and companies keen to track and report on conflict minerals in their commodity supply chains.

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Faculty Supervisor:

BLAIR RUTHERFORD

Student:

TIMOTHY MWANGEKA MAKORI

Partner:

Ulula

Discipline:

Anthropology

Sector:

University:

Program:

Elevate

Intraoperative Assessment of Humeral Implant Stability

This research seeks to develop a process and tool for assessing the stability of an implant during shoulder replacement surgery. The proposed system will help shoulder surgeons decide whether an implant is sufficiently secure prior to completing the surgery. Researchers will measure how much torque it takes to loosen an Exactech shoulder implant from artificial bone models in a laboratory and relate this peak torque to the quality of the bone surrounding an implant. Knowing this relationship between torque and bone quality, surgeons will be able to use the proposed surgical tool to apply a known torque to an implant during surgery and assess whether the implant is stable enough to complete the procedure. By collaborating with Exactech, a shoulder implant manufacturer, researchers will be able to test this process on real implants and the company will benefit by being the first to offer this new surgical assessment along with their implants.

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Faculty Supervisor:

G. Daniel G. Langohr

Student:

Jacob Mackenzie Reeves

Partner:

Exactech, Inc.

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

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Faculty Supervisor:

Henry Leung

Student:

Abdessattar Hayouni

Partner:

Thales solutions numériques Inc

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Optimization and GMP (Good Manufacturing Practices) translation of GLIDE (Guided Lymphocyte Immunopeptide Derived Expansion) manufacturing process

Leukemia, lymphoma and other forms of blood cancers are still largely diagnosed every year in Canada. These diseases constitute the second leading cause of cancer related death in young adults and the sixth in adult. The five-year survival rates still range between 42% and 85%. Currently, the main treatment is a stem cell transplantation which unfortunately do not prevent lethal relapse. The goal of this study is to develop and improve a novel cellular therapy aiming to limit and prevent relapse of hematological malignancies. We propose to “educate” ex vivo donor white blood cells against specific tumor patient’s antigens. In this context, if a cancer relapse occurs, these donor specific white blood cells will efficiently eliminate tumor cells without affecting any other patient’s cells. This very novel cellular immunotherapy will strongly improve the survival rate of patients treated with stem cell transplantation.

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Faculty Supervisor:

Vibhuti Dave

Student:

Cedric MATHIEU

Partner:

SpecificiT Pharma Inc.

Discipline:

Biology

Sector:

Medical devices

University:

Université de Montréal

Program:

Accelerate

Personalized Wealth Management Advisor based on the Analysis of Times Series Related to Financial Transactions

The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models by extracting high-level features from both assets and customers’ transactional data. In order to build the required innovative tools, we will adapt existing machine learning algorithms and develop new ones that will be fed with the extracted high-level features to assess customers situations and match them with financial strategies. Comfiz has been working in this domain with leading Canadian financial institutions for the past 18 months and as identified several areas where leveraging time series analysis could lead to significant improvements in the capacity of financial institutions to provide more personalized and dynamic recommendations to their clients.

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Faculty Supervisor:

Luc Adjengue

Student:

Benjamin Choteau

Partner:

Discipline:

Engineering - other

Sector:

Professional, scientific and technical services

University:

École Polytechnique de Montréal

Program:

Accelerate

Liquid biopsy for the discovery of new methods of cancer diagnosis and new treatment strategies

Despite the improvements in cancer diagnostic and treatment, cancer is still a leading cause of death in Canada with 30% of all deaths. Some cancers, like pancreatic cancer (PC), still have poor survival rates due to the lack of early diagnosis and good prognostics markers. The Atlantic Cancer Research Institute (ACRI) has developed a proprietary technology to capture extracellular vesicles (EVs) from various biofluids with the goal to deliver precision medicine solutions through liquid biopsy technologies. Cancer cells are known to secrete EVs that carry almost every cell molecular components. This project aims to compare many components of EVs captured in plasma from cancer patients and healthy controls. The main goals of this project are to establish particular disease biosignatures and to evaluate their potential to detect and identify cancers earlier, and to evaluate the efficiency of the treatments by monitoring cancer progression. This could result in significant economic benefits for our health care systems by making sure the treatment is right for the patient and by halting expensive treatments for non-responders sooner. This represents a business opportunity if health care systems or diagnostic companies form a partnership with ACRI for the diagnosis and monitoring of cancer patients.

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Faculty Supervisor:

Marc Surette

Student:

Philippe-Pierre Robichaud

Partner:

Atlantic Cancer Research Institute

Discipline:

Biochemistry / Molecular biology

Sector:

University:

Université de Moncton

Program:

Elevate

Pratt & Whitney Canada Pre-Detailed Design System for Turbines

The aero-engine design process is highly iterative, multidisciplinary and complex in nature. The success of an engine depends on a carefully balanced design that best exploits the interactions between numerous traditional engineering disciplines such as aerodynamics and structures as well as lifecycle analysis of cost, manufacturability, serviceability and supportability. Pratt & Whitney Canada (P&WC) is the world leader in the design and manufacturing of small aero-engines. The proposed Chair program aims to deploy a fully automated and integrated P&WC Pre-Detailed Design System “PDDS” that is capable of finding the optimal balance between aerodynamic performance, cooling flows, durability, cost and weight in order to achieve better-integrated results, a step reduction in engine design elapsed time and the best product performance . The proposed program addresses only the “Turbine” part of the engine, being a critical component due to its high temperatures and stresses, cooling, material and coating requirements. 

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Faculty Supervisor:

Hany Moustapha

Student:

Alexis ANDRUSKIEWITSCH

Partner:

Pratt & Whitney Canada

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Magnetorheological Fluid Actuators for various industries (part 2)

Exonetik designs, develops and manufactures magnetorheological (MR) actuator systems that enable novel functionalities to satisfy unmet customer needs. In collaboration with Exonetik engineers, interns will participate in the design, development and testing of customized magnetorheological actuators for robotics applications. The expected results of these subprojects will be prototypes that will be tested to demonstrate the added value that the technology can provide.

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Faculty Supervisor:

Alexandre Girard

Student:

Simon Lavigne

Partner:

Exonetik Inc

Discipline:

Engineering - mechanical

Sector:

University:

Université de Sherbrooke

Program:

Accelerate

Development of a knowledgebase to enable streamlined analysis and interpretation of NGS data from pediatric leukemia cohorts

Twenty years ago, the first human genome was sequenced at a cost of 3 billion dollars. Today, this can be done in a day at a cost of approximately $1000. Despite this drastic reduction, the promise of personalized medicine, to customize therapy for each patient, has not yet been realized through next generation sequencing (NGS). While sequencing is becoming a commodity, the data analysis remains a significant challenge. Streamline Genomics addresses these challenges by providing clinicians with a powerful and user-friendly analysis platform. The goal of this project is to improve this platform to allow doctors to interact with a simple, intuitive, interface that leverages the wealth of cancer genomics information available, allowing them to rapidly access the most relevant results of their clinical genomic sequencing. TO BE CONT’D

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Faculty Supervisor:

François Dragon

Student:

Ludovic Malet

Partner:

Streamline Genomics

Discipline:

Biology

Sector:

Health care and social assistance

University:

Université du Québec à Montréal

Program:

Accelerate

Integrated Configurable Power Input/Output Systems for Avionic Applications

Thales Canada develops control systems for avionics applications, which operate in harsh environments that may compromise the functionality of very high density chips. The company needs to develop a generic power interface for different avionics applications with a high level of criticality. However, such circuitry requires a lot of space on printed circuit boards when implemented as discrete components. The main goal of this research is to elaborate methods and techniques to design miniature configurable power systems for transportation vehicles under harsh conditions using integrated circuit techniques and technologies. This research will exploit the capabilities offered by System- in-Package (SiP) technology to minimize space by integrating a plurality of low and high power silicon integrated circuits, microelectromechanical systems (MEMS) and multi-layer substrates inside the same package, giving designers more flexibility to reduce the number of components and for system miniaturization.

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Faculty Supervisor:

Yves Blaquière

Student:

Abdul Hafiz Alameh

Partner:

Thales Canada Inc.

Discipline:

Engineering - computer / electrical

Sector:

Education

University:

École de technologie supérieure

Program:

Accelerate

Unsupervised Learning of 3D Scenes from Images using a View-based Representation

We’d like to address the issue of 3D reconstruction from 2D images. This means developing a machine learning algorithm that can take a regular photo as an input and generate a full 3-dimensional reconstruction of the contents of the photo. Such technology can be used creatively or to help the coming generation of robots better understand their surroundings.

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Faculty Supervisor:

Aaron Courville

Student:

Florian Golemo

Partner:

Element AI

Discipline:

Computer science

Sector:

University:

Université de Montréal

Program:

Accelerate

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