Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Certified Defense Framework against Patch Attacks on Images

Adversarial perturbation of all the image pixels is computationally intensive and may not be realized in practice. In contrast, an adversarial patch attack where an adversary can choose to perturb a specific subset of pixels in an image, is more practical in fooling a trained image classifier or hiding a person from an object-detection model.
In this project, we study and explore state-of-the-art adversarial patch attacks and their defences. An adversarial patch can easily fool the trained object detector to mark an image as having no object of interest, potentially leading to serious security gaps. Therefore, it is necessary to first identify and highlight images with the possible existence of adversarial patches for human verification

View Full Project Description
Faculty Supervisor:

Apurva Narayan

Student:

Partner:

TrojAI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan; The University of Western Ontario

Program:

Accelerate

Experimental investigation of patterning ananostructured bioadsorbable stent byfemtosecond laser ablation

The proposed project complements the current work of the partner organization with polymeric materials. The evaluation of ultrashort laser interaction with solid matter of surface textured metal-like materials would help the partner organization obtain detailed process knowledge; a distinct advantage for broadening its service offering to address a different market segment.

View Full Project Description
Faculty Supervisor:

Rosaire Mongrain

Student:

Partner:

Plexis Precision

Discipline:

Engineering

Sector:

Advanced Manufacturing

University:

McGill University

Program:

Accelerate

Machine Learning-Aided Environmental Monitoring Solution to Identify Indoor Fungal Outbreaks

This study aims to propose a way to indirectly measure indoor fungi, which are known to be the causes of environmental diseases obtained in indoor life. For this purpose, MOFs-based multi-modal sensors for mVOCs will be developed, and machine learning algorithms to distinguish between general chemicals and mVOCs will be established. The detailed research plan is to develop MOFs-based multi-modal sensors capable of real-time measurement of mVOCs, and obtain fungal gas analysis data and indoor VOCs data. The collaborative study includes the sensor fabrication for VOCs measurement; and manufacturing technology for MOFs materials; and data integration by AI. The machine learning-aided environmental monitoring developed in this study will enable us to recognize indoor fungal outbreaks and provide a solution to protect our homes from fungal diseases.

View Full Project Description
Faculty Supervisor:

Seonghwan Kim

Student:

Partner:

Seoul National University of Science and Technology

Discipline:

Engineering

Sector:

Environmental Science and Technology; Nanotechnology; Artificial Intelligence

University:

University of Calgary

Program:

Globalink Research Award

Development of a High-Fidelity Motion Cueing Algorithm for TMotion

High-level control strategies, commonly referred to as Motion Cueing Algorithms (MCA), are used to create realistic perception of unrestricted 6 degrees-of-freedom (DoF) motion with a motion platform that has fewer DoF and a limited workspace. For instance, such an algorithm would tilt the platform towards back to emulate forward acceleration on a platform that does not support Surge (forward/backward) motion. These algorithms are generally developed as a part of the simulation project, increasing the complexity of the simulator and its development time and cost. In the competitive market of vehicle simulation, delivering better simulation realism at a lower cost is a key to every simulator’s success. Touché Technologies is seeking to embed a novel MCA within its TMotion platform and provide a turnkey solution that can be easily adapted by various simulators without any extra effort. This project aims to develop an advanced MCA with a series of innovative solutions that improve the fidelity of motion simulation and the user experience.

View Full Project Description
Faculty Supervisor:

Amir G. Aghdam

Student:

Partner:

Touché Technologies

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Analytical Characterization of JZP-341 (Higher Order Structure)

York University and Jazz Pharmaceuticals are undertaking a project to accelerate development of their Leukemia drug candidate. The project will take advantage of unique technologies developed at York by Drs. Wilson and Krylov, Millisecond Hydrogen Deuterium eXchange (msHDX) mass spectrometry and Kinetic Capillary Electrophoresis (KCE), to provide a high-detail picture of Jazz Pharmaceutical’s candidate, including its unique structural and functional properties. Ultimately these data will contribute to our fundamental understanding of a set of enzymes called asparaginase in blood cancers and will provide critical support for regulatory filings leading to candidate advancement to the clinic.

View Full Project Description
Faculty Supervisor:

Derek Wilson;Sergey Krylov

Student:

Partner:

Jazz Pharmaceuticals

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

York University

Program:

Accelerate

Developing Low-Cost Sensors for Rapid Field Estimation of Soil Properties

There is an increasing demand for high resolution soil information to support precision agriculture. One of the tools that has been a focus of research to help meet this demand is the development of proximal soil sensing using reflectance spectroscopy. The advantage reflectance spectroscopy is that it is rapid, non-destructive, and can test for multiple parameters simultaneously. However, development of these systems for practical application has been limited by high hardware costs. There have been important recent developments for lower cost spectrometers, which has increased the feasibility of this technology. However, there are technical considerations that warrant a detailed investigation of the performance of these lower cost sensors. The first is the spectral range of the sensors. The more expensive established visible light near infrared (VIS-NIR) spectrometers typically collect electromagnetic spectrum data from 350 to 2500 nm. While many of the most important soil spectral features are in the shortwave infrared region after 1600 nm, useful spectral information is present in the near infrared and visible light regions. How well a system without those regions performs needs to be determined. The second consideration is the spectral resolution and bandwidth.

View Full Project Description
Faculty Supervisor:

Angela Bedard-Haughn

Student:

Partner:

Croptimistic Technology Inc

Discipline:

Earth science

Sector:

Agriculture and Food; Artificial Intelligence; Environmental Science and Technology

University:

University of Saskatchewan

Program:

Accelerate

Optimizing return on investment using artificial intelligence: A recommendation system-based solution

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that involves state of the art deep learning and reinforcement learning techniques.

View Full Project Description
Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Videotron (Montreal, QC)

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Concordia University

Program:

Accelerate

Low-Code Software Development 2.0

In this project, we will explore the new ways to design and implement a Low-Code Software Development platform that is easy to use, requires minimum software knowledge, is business logic oriented, and robust to dependency change. Specifically, we provide functional templates with detailed configuration flexibility to cover the high frequency requirements from the expected business scenarios. For dependency robustness, we plan to apply dependency freeze technique to solve this issue. We will also explore the possibility of third-party tool adaption to build an ecosystem or where components can be customized and reused across projects.

View Full Project Description
Faculty Supervisor:

Song Wang

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

York University

Program:

Accelerate

Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete event aspects of avionics systems. This project will be used to improve verification and validation of CMC Electronics’ innovative new avionics designs. It will also provide the opportunity to integrate COTS equipment for stimulation and measurement through equipment interfaces (such as MIL-STD-1553 and ARINC 429). This will include integration of SILKAN test and integration benches to stress-test equipment via their interfaces.

View Full Project Description
Faculty Supervisor:

Rachida Dssouli;Liam Peyton;Gunter Mussbacher

Student:

Partner:

Silkan Solutions;CMC Electronics Inc (Saint Laurent, QC);Consortium de recherche et d'innovation en aérospatiale au Québec;Isoneo

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services; Transportation and warehousing

University:

Concordia University; École de technologie supérieure; McGill University; University of Ottawa

Program:

Accelerate

Pyrolysis of municipal solid waste (MSW) to low-carbon fuels using a dual-spinning disc reactor (DSDR)

Developing an efficient process for MSW pyrolysis is important to reduce the environmental and spatial impact of MSW in landfills. This project aims to evaluate the production of renewable fuels from MSW using a dual spinning disc reactor (DSDR). The DSDR, developed by Vorsana, has the flexibility to handle several pyrolysis feedstocks under controlled conditions resulting in high yield and selectivity. This project will develop an innovative process to reduce waste disposal costs and environmental footprint, providing a renewable feedstock for the petroleum refineries to meet environmental mandates. MSW pyrolysis provides consumers with a cost-effective solution to reduce carbon footprint and a tool for policymakers, to significantly decarbonize the transportation sector globally. A potential reduction of GHG emissions by 0.4 million metric tons (MT) of CO2 per year in Canada is expected once the technology is expanded to a 3700 barrel per day facility.

View Full Project Description
Faculty Supervisor:

Nader Mahinpey

Student:

Partner:

Vorsana

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Functional investigation of the dynamics of TERRA in cancer cells

The research project is focused on the study of TERRA (Telomeric Repeat containing RNA) dynamics in cancer cells to understand the relationship between cancer and telomere. TERRA long noncoding RNAs have been proposed to play important roles in telomere biology. However, the dynamics of TERRA molecules are yet to be elucidated. Indeed, in human cells, it is still not known whether TERRA associates with its telomere of origin (in cis) or it localizes on different chromosomes (in trans). Understanding the spatiotemporal dynamics of TERRA molecules will be critical to define their function and regulation in cells. In my research project, I plan to combine the MS2-GFP system in previous generated model (AGS 15qTERRA MS2 clones) with a recently developed approach based on the CRISPR/dCas9 system to visualize both telomere 15q TERRA transcripts and their telomere of origin in living cells. Simultaneous imaging of the MS2-tagged telomere 15q TERRA transcripts, using the MS2-GFP system, and the sub-telomere 15q, by co-expression of a fluorescent dCas9 and the appropriate guide RNA, will enable us to investigate the localization of telomere 15q TERRA and its telomere of origin in living cells.

View Full Project Description
Faculty Supervisor:

Pascal Chartrand

Student:

Partner:

University of Trento

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Effet de la présence de feuillus sur le succès de l’éclaircie pré commerciale opérée sur sols tourbeux

La compétition entre les arbres pour les ressources du milieu s’intensifie à mesure que la forêt se développe. Le traitement sylvicole alors utilisé afin de réduire la compétition est l’éclaircie précommerciale (EPC), qui vise la libération et la redirection des ressources vers les essences d’arbre désirées. Dans la forêt boréale, le couvert végétal au sol est principalement composé d’éricacées, des mousses, des sphaignes et des lichens terricoles, qui peuvent limiter la productivité forestière. Au Québec, une grande partie des forêts d’épinettes noires des basses-terres de l’Abitibi sont propices à l’accumulation de matière organique au sol ce qui limite également la productivité forestière. Ce projet vise à évaluer l’effet du maintien des feuillus sur la productivité des jeunes peuplements d’épinettes noires issus d’EPC. On désire estimer les pressions de compétition ou l’effet de facilitation qu’exerce la présence de feuillues sur les résineux via son influence sur la composition de la strate de sous-bois.

View Full Project Description
Faculty Supervisor:

Yves Bergeron;Alain Leduc

Student:

Partner:

Rayonier A.M. Canada S.E.N.C.

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Previous
1…1,6501,6511,6521,6531,6541,6551,656…2,635
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe

Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.