Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Electro-fermentation of Lignocellulosic Biomass for High Rate Biofuel Production

There has been a noticeable interest across Canada to deploy new approaches to help address our growing energy needs. Second generation bioethanol production from agricultural and forest residues (named as lignocellulosic biomass), can pave the way for achieving this sustainable bio-economy. Regardless the efforts by ethanol producer companies to develop the technologies of generation of bioethanol fermentation, significant research is still required to further enrich the exertions of pilot-scale demonstration/ or pre-commercial phases to eventually debut impacts into society. Therefore, the development of an electro-fermentation process may provide significant benefits to various industrial-scale ethanol producers in Alberta and across Canada, and will enable them to lead the global cellulosic-derived bioethanol market. The proposed project will help Alberta’s continuous efforts in achieving environmental sustainability and economic diversification by increasing capacity for biofuel (e.g. bioethanol) production. TO BE CONT’D

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Faculty Supervisor:

Bipro Dhar

Student:

Partner:

InnoTech Alberta

Discipline:

Engineering

Sector:

Green/Alternative Energy; Biotechnology; Energy and Utilities

University:

University of Alberta

Program:

Accelerate

An Intelligent mixed-reality simulation & training ecosystem for extreme environments

In this project, we aim to design and develop an Intelligent mixed-reality Simulation & training ecosystem for Extreme Environments (I.SEE), which will be an innovative mixed-reality simulation ecosystem of hyper-realistic and fully immersive experience for enhanced crisis response, management, training, and data analysis. The ecosystem will be built based on a three-layer architecture: (i) On the top, an AR and VR-powered User Interface (UI) that brings users in a hyper-realistic 3D environment populated with game elements and relevant data; (ii) In the center, the mixed-reality simulation engine, the game portfolio and the AI-powered libraries modeling virtual object behaviors and features; and (iii) at the bottom, an IoT layer of heterogeneous hardware and software for massive data collection and processing in real time.

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Faculty Supervisor:

Linda Rouleau;David Alexandre Saussié;David Meger;Gabriela Nicolescu;Inna Sharf;Chahé Nerguizian

Student:

Partner:

Humanitas Solutions

Discipline:

Computer science

Sector:

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

University:

École Polytechnique de Montréal; HEC Montréal; McGill University; Polytechnique Montréal

Program:

Accelerate

Understanding the nanostructure of organic photovoltaics

In light of our dramatic environmental situation, we are faced with implementing carbon-neutral power sources. The sun offers a nearly endless supply of energy that can be converted into consumable power with the use of photovoltaics. While current photovoltaics are rather efficient, they are expensive to manufacture and install. A new branch of photovoltaics, organic photovoltaics, combines the tunability of chemical synthesis with abundant elements and inexpensive, lightweight materials. The result is the ability to mass manufacture these cells using techniques such as roll-to-roll printing, allowing for production at scales vastly larger and cheaper than for existing cells. However, organic photovoltaics are not without fault. These cells are at best, half as efficient at converting solar energy to power than are today’s silicon solar cells and lack long-term stability. My research is focused on understanding the factors that influence the nanostructure of the light harvesting materials typically used.

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Faculty Supervisor:

Jillian Buriak

Student:

Partner:

Technical University of Munich

Discipline:

Physics

Sector:

Energy and Utilities; Nanotechnology; Clean Technology

University:

University of Alberta

Program:

Globalink Research Award

Charge-Shifting Polycations as Gene Transfection Agents

Synthetic polymers will be explored as a vehicle to deliver DNA to cells for potential gene therapy applications. Charge-shifting polycations with varying rates of degradation will be studied to test the effectiveness of DNA release, as well as eventual uptake and conversion of the DNA to produce a targeted protein (i.e. transfection). The varying rates of degradation of the charge-shifting polycations that have been developed for this project will be a useful handle in determining optimal release kinetics, as well as provide fundamental information on the mechanism of transfection. Toxicity of the charge-shifting polycations will be tested with cell viability assays. It is hypothesized that charge-shifting polycations will exhibit greater transfection efficiencies relative to standard synthetic polycations, as well as have reduced toxicities due to their inherent degradation into benign by-products. The results of this work are anticipated to provide the growing field of gene therapy with fundamental insight towards the design of polymers for DNA delivery.

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Faculty Supervisor:

Harald Stover

Student:

Partner:

Fraunhofer Institute for Cell Therapy and Immunology IZI

Discipline:

Life Sciences

Sector:

Nanotechnology; Life Sciences (not health); Other

University:

McMaster University

Program:

Globalink Research Award

Accelerating audio matching on multicore machines

The multiple audio sequences matching problem can be regarded as a pattern identification problem with inputs of multiple highly fragmented audio sequences. Singular Software develops a product which employs a model-based alignment algorithm to match audio sequences on a common time line to solve this problem. This product relies on computationally intensive mathematical operations such as FFT and maximum log likelihood calculation for different models, which limit the performance. This project aims to explore the feasibility and the tradeoffs involved with accelerating audio sequence matching algorithms on multicore processors. This project will explore acceleration using ‘traditional’ multicore CPUs and massively-parallel Graphics Processing Units (GPUs)

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Faculty Supervisor:

Matei Ripeanu

Student:

Partner:

Singular Software

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

Self reporting Tookad-Caspase 3-Pyropheophorbide PDT beacon for PDT/fluorescence imaging of cancer

I plan to make a small molecule probe that reacts to specific colors of light, triggering cell death in the illuminated area in a process called Photodynamic Therapy (PDT) as a method to treat cancer. The probe uses a drug currently being investigated in clinical trials called Tookad© soluble for therapy. This probe also has a component that would react to the cell death in the tumor that is fluorescent, meaning that upon illumination with a specific wavelength of light, it will emit light of a slightly longer wavelength which can be detected for monitoring the tumor post-treatment. This probe would allow for both PDT treatment as well as treatment monitoring, meaning this compound can provide therapy and diagnostics all in one.TO BE CONT’D

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Faculty Supervisor:

Xiaosong Wang

Student:

Partner:

The University of Tokyo

Discipline:

Life Sciences

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Development of CardiAI: An AI-Assisted Point-of-Care Device for Heart Failure Management

The aim of this research and development project is to design and develop a bedside point-of-care device to be equipped with the CardiAI’s machine learning technology for heart failure management. our POC system will include
disposable cardiac biomarker strips and an electronic reader. Once implemented, it will be connected to the AI platform that will continuously collects patients’ health information from patient’s daily manual log, electronic medical record, and remotely monitor the patient’s quality of life (QoL) and their medication adherence, thus helping patients manage their condition better.

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Faculty Supervisor:

Martin P Mintchev

Student:

Partner:

CardiAI Inc

Discipline:

Engineering

Sector:

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

University:

University of Calgary

Program:

Accelerate

Développement d’un prototype de bracelet pour l’analyse en temps réel des données médicales

Technologies EllenSee Inc. se veut devenir un acteur majeur dans le domaine de Ia securite des aines. Pour ce faire, un bracelet permettant de detecter les chutes. de reconnaitre des activites physiques journalieres et de surveiller les donnees medicales du porteur doit etre COn9U. Un tel outil permettra de reduire le temps de reaction du personnel medicallors d’accidents plus ou moins graves, et d’augmenter les chances de survies par exemple dans le cadre d’un AVC (Arret Vascufaire Cerebral). D’autres dispositifs existent. majoritairement bases sur des boutons. Cependant, lors de problemas provoquant une inconscience, ces dispositifs deviennent completement inutiles. C’est pourquoi Technologies EllenSee Inc. veut creer un outil detectant automatiquement Ia majorite des problemas pouvant arriver a nos aines.

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Faculty Supervisor:

Kévin Bouchard

Student:

Partner:

Technologies EllenSee Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Maximizing Access to Mental Health Resources

The current project is a partnership between the University of Western Ontario and the London-Middlesex Canadian Mental Health Association, and will aim to increase the equitability of access to mental health services by investigating the barriers that prevent certain populations from such access. To do this, two key areas of service delivery, crisis services and case management, will be assessed in order to determine whether participation rates vary by age, gender, ethnic identity/language, or income. Using two complementary psychological frameworks, The Health Belief Model and The Theory of Planned Behavior, we will assess the attitudes and beliefs that discourage certain populations from seeking out mental health resources, and will use these findings to develop a psychological basis for interventions to increase equitable participation. The final product will be a report to the CMHA describing the research findings and providing recommendations in order to promote equitable access. TO BE CONT’D

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Faculty Supervisor:

James Olson

Student:

Partner:

Canadian Mental Health Association (Elgin Middlesex)

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Public Service, Policy, and Governance

University:

Western University

Program:

Accelerate

A Novel Approach for Rotor Angle Stability Prediction of Power Systems with High Wind Power Penetration

Power systems are becoming more open, stochastic and dynamic nonlinear as the integration of renewable energy sources are keeping increasing. On the other hand, power systems are usually confronted with various weather conditions and fortuitous events that may lead to incidents causing instability of the networks. This research will propose an on-line transient stability prediction approach for power systems with high penetration of renewable energy, which aims at fast detecting the potential instabilities in systems thus saving more time for remedial controls and in further, prevents unintended islanding, cascading outages, and widespread blackouts. Applications of statistical machine learning in power system stability analysis and control would be studied in this research to support the achievement of a safe, reliable, and sustainable power grid.

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Faculty Supervisor:

Chi Yung Chung

Student:

Partner:

Imperial College London

Discipline:

Engineering

Sector:

Education

University:

University of Saskatchewan

Program:

Globalink Research Award

Self-Assembly of Redox-Active Receptors

The discovery of new chemicals and materials with unique optical and structural properties is the driving force behind the manufacturing of the innovative devices for electronic, sensing and medicinal applications. In this research project, novel compounds will be synthesized and incorporated into self-assembled cages as building blocks on a large molecular scale. These cages will be investigated with respect to their structural composition, physical properties for potential use as receptors in sensing and medicinal applications. This project will result in the development of the new protocols for synthesis, assembly and characterization of these large self-assembled molecules. These findings will be published in the peer-reviewed journal as a collaborative study of the two groups, Profs. Storr and Sallé.

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Faculty Supervisor:

Tim Storr

Student:

Partner:

Université d’Angers

Discipline:

Physics

Sector:

Education

University:

Simon Fraser University

Program:

Globalink Research Award

Pilot Study of micro-OCT (Optical Coherence Tomography) Device for the Detection of Invasive and Pre-invasive Cervical Lesions Ex Vivo

Optical coherence tomography (OCT) is an optical imaging method providing 3D in vivo optical tissue biopsy noninvasively. OCT studies in gynecology has revealed its capabilities for cervical screening due to its high resolution imaging, and sensitivity to both morphological and functional changes, and customized probes. Micro-optical coherence tomography (µOCT), a technology developed at Tearney Lab at Harvard Medical School, captures images of four-dimensional (x, y, z, t) cellular and sub-cellular biological structures with an isotropic 1 µm spatial resolution and 10 ms temporal resolution. The bench top microscope uses a visible broad bandwidth supercontinuum light source to achieve high axial resolution as well as new software and optics that maintain high lateral resolution over an extended focal depth. Studies have shown that µOCT is capable of resolving individual sub-cellular features and their function, all without requiring exogenous contrast agents. TO BE CONT’D

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Faculty Supervisor:

Calum MacAulay

Student:

Partner:

Harvard University

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

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