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

Bio-sourced reagents for the flotation of minerals in the mining industry

Many mineral ores are concentrated by froth flotation, a process that often uses toxic chemicals to selectively alter mineral surface properties. With increasing regulatory restrictions, the industry could face a dead end with no alternative reagents that are sufficiently efficient, low cost or environment friendly. It has been previously shown that peptides could selectively bind mineral surfaces. This project therefore aims at the development of alternative flotation bio-reagents by performing i) large-scale screening of peptides libraries; ii) peptide modeling and in-silico optimization integrating hydrophobic/hydrophilic functions into selective sequences identified in (i), in order to favor mineral flotation; iii) constructing expression systems that will present the bio-reagents in the most effective way as well as maximize yield; iv) optimizing a bioprocess to produce the best bio-reagents selected/designed in (i/ii) at their maximum yield. TO BE CONT’D

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Faculty Supervisor:

Alain Garnier

Student:

Dariush Azizi

Partner:

COREM

Discipline:

Visual arts

Sector:

Life sciences

University:

Program:

Accelerate

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:

Mohamed Meshref

Partner:

InnoTech Alberta Inc

Discipline:

Engineering - civil

Sector:

Alternative energy

University:

Program:

Accelerate

Automating Configuration and Performance Management of Data Centers

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This makes their Operation and Management (O&M) much more challenging. Much more intelligence is required for automating the various tasks. Several technologies that have recently emerged could help in this automation. Some examples are the new technologies on which data centers rely. An SDN based – management system, for instance, could assist in automating configuration and reconfiguration of intra-DC and inter-DC paths. Other examples are machine learning and big data analysis. Machine learning, for example, could aid in performance management by predicting the performance metrics for autonomic tuning of the behavior. This project aims at designing and validating architectures and models for automated performance and configuration management of large-scale, geo-distributed, highly heterogeneous, and NFV-SDN enabled-DC. An incremental approach will be followed. The first year will be devoted to configuration management and we will deal with performance management (including resource provisioning) during the second year.

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Faculty Supervisor:

Roch Glitho

Student:

Mohammad Abu-Lebdeh

Partner:

Ericsson Canada

Discipline:

Engineering - other

Sector:

Information and communications technologies

University:

Program:

Elevate

Discovery of Novel E3 Ligands for PROTAC Development

Protein degradation induced by PROTACs (PROteolysis TArgeting Chimeras) constitutes a novel modality of drug discovery, with advantages over the traditional approach. This approach is still at infancy and there is a lot to learn in this field. The trainees will work under academic supervisors at University of Toronto, who are experts in chemical tool development in collaboration with Structural Genomics Consortium (SGC), Toronto to expand the number of chemical tools and technologies, which will enhance the scope and understanding of PROTAC drug development. The Structural Genomics Consortium (SGC) is a not-for-profit, public-private-partnership that aims to catalyze drug discovery through open access research. The SGC is expanding its efforts into this novel paradigm of drug discovery. The tools and techniques produced by trainees will greatly contribute to the chemical tool identification for PROTAC project at SGC, Toronto.

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Faculty Supervisor:

Cheryl Arrowsmith

Student:

Leanna Smith

Partner:

Structural Genomics Consortium

Discipline:

Medicine

Sector:

Life sciences

University:

Program:

Accelerate

Optimizing Chemical Usage at the Barkerville Gold Mine

The Barkerville Gold Mine will host an intern to conduct a study to optimize chemical usage to extract gold and treat effluents. The gold mine obtains ore from a range of deposits with different mineralogical properties. The intent is to minimize chemical use and therefore reduce effluent treatment requirements thereby reducing overall environmental liabilities and increasing productivity.

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Faculty Supervisor:

Bern Klein

Student:

Mahir Can Cetin

Partner:

Barkerville Gold Mines

Discipline:

Engineering - other

Sector:

Mining and quarrying

University:

Program:

Accelerate

Identifying novel biomarkers and immune response profile correlating to clinical outcome in ovarian cancer patients treated with a T cell activating immune therapy

Cancer afflicts 1 in 8 people worldwide. Recent advancements in bench-to-bedside translational research has resulted in numerous effective treatments. However, a harsh reality still exists in that only ~20% of patients respond positively to treatment. Not all cancers are created equal, which has led to these clinical complexities undermining treatment options. It is our goal to understand the cellular and immune cell factors, which determine patient outcomes. By examining how cancer hides from our immune system, it will be possible to identify personalised treatment strategies for cancer patients.

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Faculty Supervisor:

Andrew Makrigiannis

Student:

Brennan Dirk

Partner:

IMV Inc

Discipline:

Biology

Sector:

Life sciences

University:

Program:

Accelerate

Evaluating deposition of tear film components on contact lenses in a sophisticated in vitro eye-blink model

Contact lenses are one of the most successful biomedical devices on the market, with approximately 140 million wearers worldwide. Despite their success, these devices still struggle with discomfort, which ultimately leads people to stop using the product. One of the reasons is the buildup of tear film components on contact lenses while wearing them. The objective of this project is to understand how tear film components deposit on contact lenses using a sophisticated eye model. This eye model, OcuBlink, was developed by the partner organization, and simulates some key properties of the eye. The benefit of this project for the company is that they will be able to test their product, and further develop their platform to better mimic the actual eye. Furthermore, it will also build credibility for the eye model for testing industry products.

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Faculty Supervisor:

Lyndon Jones

Student:

Vivian Chan

Partner:

OcuBlink

Discipline:

Medicine

Sector:

Life sciences

University:

Program:

Accelerate

Development of Applications of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging

Funded through a series of NSERC partnership grants, Cubresa Inc. have been working with the applicants to develop technologies for pre-clinical imaging for positron emission tomography (PET) imaging and PET friendly radiofrequency (RF) coils for magnetic resonance imaging (MRI) of small animals. To date, our collaboration has played a direct role in Cubresa being the first to market with a commercial Silicon Photomultipliers-based pre-clinical PET product which when placed inside a 20cm MRI magnet equipped with an 11.5 cm diameter gradient can provide both PET and MR rat images simultaneously. We are currently developing techniques which will allow PET images to provide molecular images of the brain simultaneously with functional MRI images and developing high resolution MRI imaging techniques to improve quantification of PET images further. The success in developing these technologies is key to Cubresa’s overall product application development roadmap because they demonstrate scientifically credible results and important applications of simultaneous PET/MRI, a necessary marketing tool. Cubresa aims to be the first to market with a commercial pre-clinical product illustrating the significant advantages of simultaneous PET/MRI. The Mitacs application will be used for the postdoctoral candidate to develop image analysis techniques which allow the images to provide quantitative information.

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Faculty Supervisor:

Melanie Martin

Student:

Sheryl Herrera

Partner:

Cubresa Inc.

Discipline:

Physics / Astronomy

Sector:

Medical devices

University:

Program:

Elevate

Using Internet of Things (IOT) waste bin sensors to analyze the effectiveness of dynamic routing for waste collection vehicles

This research project aims to develop data analytic technologies to achieve the smart waste and recycling management services. In the smart waste management, the information about container fill levels is captured by the sensors through the Internet of Things (IoT) in real time. A more efficient dynamic routing strategy will be developed through this research with the collected sensor data. The dynamic routing needs to be adaptive to ensure the bins will not overflow while maintain its operational efficiency. Meanwhile, the strategy will also optimize the objectives, i.e. reduction of the operational cost as well as CO2 emission.

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Faculty Supervisor:

Zheng Liu

Student:

Uchenna Anyaoha

Partner:

RecycleSmart

Discipline:

Engineering - other

Sector:

Environmental industry

University:

Program:

Accelerate

RBC-Toronto Quantum Key Distribution Network Development

The interns will develop a quantum communication network built on RBC’s optical fiber infrastructure and perform secure commercial transactions using quantum-generated secure keys in the integrated classical communication network. The quantum communication network will be based on the measurement-device-independent quantum key distribution technology, which is developed by Prof. Hoi-Kwong Lo’s and Prof. Li Qian’s groups at the University of Toronto. It will be an important milestone towards cybersecurity in the financial sector in Canada.

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Faculty Supervisor:

Hoi-Kwong Lo

Student:

Olinka Bedroya

Partner:

RBC Financial Group

Discipline:

Physics / Astronomy

Sector:

Information and communications technologies

University:

Program:

Accelerate

Fatty liver assessment with Attenuation Coefficient Estimation (ACE)

One in every five people will develop liver disease in their lifetime. Few people think about liver disease until the disease has progressed and has permanently damaged the liver. Fatty liver disease falls into this category with obesity as the most common cause. Given more than 50% of Canadians are overweight and 75% of obese individuals are at risk of developing a fatty liver, this is a widespread problem. Canadians with fatty liver and other liver diseases need a tool for detecting and monitoring their liver health. Analogous to blood pressure numbers, we need numbers for liver health. This MITACS project proposes to provide these numbers: one number for liver fat that is related to risk, and one number for liver fibrosis that is related to damage. We will develop the algorithms that calculate the numbers and implement the algorithms on a low-cost portable ultrasound system. TO BE CONT’D

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Faculty Supervisor:

Purang Abolmaesumi

Student:

Mohammad Honarvar

Partner:

Sonic Incytes Medical Corp.

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

RESPOND (Resource Efficient Smart Packet Optical Network Design): A Novel Packet-Optical Design and Optimization Framework for Next Generation Networks

The focus of the project is to develop an packet-optical network resource optimization model that minimizes the total network cost across IP-optical platform while meeting the following requirements: (i) Offers full protection from any network node and link level failure. (ii) Ability to handle large scale networks and traffic demand (i.e., network scalability). (iii) Meets end-to-end latency requirement. (iv) Provides efficient link utilization across the packet-optical networks. (v) Ability to forecast network capacity augment requirement. (vi) Provides machine-user interactivity during the run time. (vii) Ability to improve the performance of the software (i.e., model) over time.

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Faculty Supervisor:

Anwar Haque

Student:

Rashed Nekvi

Partner:

Juniper Networks

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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