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

Development of a High Efficiency LC-FAIMS-MS/MS Solution for Enhanced Lipidomic Analysis

Accurate and sensitive analysis of lipids is a challenge for the medical and nutritional fields. In this proposal, we describe a new method for their analysis using a technique seldom applied to these problems. We propose to make a number of modifications to existing instrumentation to facilitate this; in partnership with Dalhousie and the Atlantic Cancer Research Institute, an MASc student will lead the evaluation of several prototypes to optimize the analysis of complex lipid mixtures. In demonstrating its utility in this application, we will expand the user group of this novel platform and we anticipate this having a substantial impact on the commercial value and uptake of this technology in the scientific community.

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Faculty Supervisor:

Suzanne Budge

Student:

EmmaRae Lynn Murphy

Partner:

Atlantic Cancer Research Institute

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Automated Guidelines and Standards Compliance Checking in Oil and Gas Industry

One of the important concerns in the oil and gas industry, as in many other fields, is making sure that work processes comply with the industry-specific regulations, guidelines and standards. These standards cover a plethora of requirements, from managing equipment and people, to conducting work processes that minimally impact the environment and ecosystems. For Canada, these guidelines are different among provinces. For example, Canada-Newfoundland and Labrador Offshore Petroleum Board (CNLOPB) and Canada-Nova Scotia Offshore Petroleum Board (CNSOPB) are regulatory bodies for Atlantic Canada. Traditionally, during a project planning a domain expert would manually examine provincial and general regulations and create work procedures that comply with them. This is a long and labourious process. With the advent of modern Natural Language Processing techniques, it is possible to use computer systems to support automated regulatory compliance. This functionality is highly desired in many industries and has become increasingly common. A challenging problem is the conversion of standards and guidelines designed for humans into computer readable code. We propose a system that consists of two key parts: (a) text-to-ontology transformer and (b) compliance checker. Standard-to-ontology converter is a model that uses NLP TO BE CONT’

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Faculty Supervisor:

Vlado Keselj

Student:

Dijana Kosmajac

Partner:

Waterford Energy Services Inc

Discipline:

Computer science

Sector:

Construction and infrastructure

University:

Dalhousie University

Program:

Influencing buyer behavior with Intelligent Marketing and team performance with digital coaching.

The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a case study that correlates the relationship between personalized marketing offers with positive changes in consumer behavior such as increased engagement, visits and spend.
Drive CX leads the market in dynamically configuring custom branded comment cards on intelligent payment devices in minutes. Our partners include First Data, Global Payments, Ingencio, Clover and Poynt. This project is about taking our brand promise to the next level, by leveraging the correlation between the customer and team experience and engagement and sales and profits with the goal of supporting successful chains in being even more profitable and competitive in a post-covid world.

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Faculty Supervisor:

Aaron Hunter

Student:

Pierayeh Vahdani

Partner:

Drive CX

Discipline:

Computer science

Sector:

University:

British Columbia Institute of Technology

Program:

Accelerate

Risk classification over time for individuals who have diabetes

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, Applied Mathematics and Computer Engineering. He will research and develop predictive algorithms and analytical models for early diagnosis and risk assessment for Diabetes, under the supervision and advisory of QMind and Dr. Farhana Zulkernine of Queen’s University. This project will be carried out for a period of 4 months, at the end of which it will be integrated with the SenSights.AI platform ready for deployment. The partner organization will be able to leverage the research done for future projects and research in the field of Mathematic and Bioscience.

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Faculty Supervisor:

Farhana Zulkernine

Student:

Ian Ho

Partner:

LocateMotion

Discipline:

Computer science

Sector:

Health care and social assistance

University:

Queen's University

Program:

Accelerate

Moving evidence into practice: using knowledge transfer to improve the care of individuals with lymphedema

The purpose of this partnership between the University of Alberta and the Canadian Lymphedema Framework (CLF) is to support the CLF’s mission to promote best practices in risk reduction, early diagnosis and treatment of lymphedema. Lymphedema is a swelling that occurs in a limb or body region as a result of damage to the lymphatic system. Currently, it is estimated that over 1 million Canadians suffer from lymphedema, with a significant proportion developing the disease secondary to cancer and/or cancer treatment. With support from the University of Alberta, a qualified expert postdoctoral fellow will provide the CLF with the needed expertise in research to facilitate the development of Clinical Practice Guidelines for Lymphedema and an evidence-based learning series for healthcare professionals in both official languages. As the CLF is in a time of leadership transition, this partnership will allow the organization to explore its future leadership needs.

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Faculty Supervisor:

Margaret McNeely

Student:

Naomi Dolgoy

Partner:

Canadian Lymphedema Framework

Discipline:

Physics / Astronomy

Sector:

Health care and social assistance

University:

University of Alberta

Program:

Accelerate

Leveraging lessons learned from the front lines to inform policy and practice in hospital and community healthcare settings in the context of COVID-19

Among the many significant effects of the novel coronavirus 2019 (COVID-19), Vancouver General Hospital’s (VGH) Department of Psychiatry has observed the impact of the pandemic on the mental health of patients and providers. These circumstances have created unprecedented demand for decisive and rapid action to avert hospital admissions related to mental health, maximize efficiency within hospitals in the context of physical distancing requirements, and improve wrap around care in partnership with community-based psychiatrists and family physicians. The pandemic has also forced a swift adoption of telehealth technologies, transforming care provision to reduce person-to-person contact while continuing to support patients during this critical time.
The Mitacs intern will join our team of healthcare providers and researchers to conduct a series of virtual focus groups with psychiatrists and family physicians providing care in VGH outpatient settings during the pandemic. The intern will help analyze and compile the findings into a report submitted VGH’s department of Psychiatry and Vancouver Coastal Health Authority leadership, and prepared a publication for an academic journal.

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Faculty Supervisor:

Surita Parashar

Student:

Toni Gore

Partner:

Vancouver General Hospital

Discipline:

Anthropology

Sector:

Health care and social assistance

University:

Simon Fraser University

Program:

Accelerate

Improving high-quality lipid production in the commercially important microalgae, Euglena gracilis

FAs are an integral part of lipids (oil, fats, wax esters, etc.) that are essential to human health. Lipids with desired chemical and physical properties can be produced by manipulating their FA composition. Euglena gracilis is a commercially important microalgae capable of producing lipids with diverse FA composition. This project aims to study three different approaches; (i) metabolic engineering (ii) media optimization (ii) plant-based inducers, for controlling the production of FAs to produce lipids with desirable characteristics. Utilization of these strategies to produce useful lipids will help to provide a sustainable and economic source of valuable lipids for the promotion of human health. Noblegen Inc is a Canadian biotech start-up working towards commercialization of Euglena based bioproducts including lipids. The success of this project will help Noblegen to move forward in the commercialization of Euglena lipid and FA products for use in the food and beverage industry.

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Faculty Supervisor:

Neil Emery

Student:

Bijaya Uprety

Partner:

Noblegen

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Trent University

Program:

Novel Linearization Techniques for Ultra-Broadband 5G Power Amplifiers

The realization of the upcoming 5th Generation of telecommunication standards (5G) requires ultra-broadband transceiver frontends that satisfy both power efficiency and linearity requirements. Since power amplifiers (PAs) are the most power-consuming blocks in these frontends, they are optimized to achieve higher efficiency, and hence lower operating cost and carbon footprint. However, high efficiency PAs suffer from nonlinear behaviours that distort the signal quality and reduce their overall linearity. This project tackles the abovementioned problem by proposing novel PAs linearization techniques that can extend the linearization bandwidth to over 400 MHz. First, a fully automated PAs characterization / linearization testbench with Nonlinear Vector Network Analyzer (NVNA) measurement capabilities will be realized. Then, a novel NVNA-based linearization approach will be investigated as a standalone linearization solution as well as a technique to improve existing Digital Predistortion (DPD) linearization solutions. These solutions will be implemented on Analog Devices Radio Verse (ADRV) 9009 platform which is composed of two state-of-the-art fully integrated transceivers having a bandwidth of 450MHz each. This project exploits the full capabilities of NVNA measurement and modeling techniques and alleviates the need to use very high-speed digital-to-analog converters, which represent one of the main challenges in extracting ultra-broadband DPD models.

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Faculty Supervisor:

Fadhel Ghannouchi

Student:

Ahmed Raslan

Partner:

Analog Devices

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

University of Calgary

Program:

Improving Aveer RFID technology for real-world scenarios

Radio Frequency Identification (RFID) technology has received extensive interests due to its low cost, battery-free, and small size. Many exciting applications based on RFID have been developed in recent years, such as localization, gesture sensing, and health monitoring, etc. However, none of these systems are widely in real-world use. The reason is that most existing systems assume a static communication environment, while a small environmental variation or tag geometrical condition change will cause a large accuracy decrease. In this project, we aim to use Aveer technology to overcome the limitations most current RFID faced and prototype a virtual shopping basket application. The project will provide novel solution for deploying RFID technology into real-world applications.

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Faculty Supervisor:

Xue (Steve) Liu

Student:

Liqiong Chang

Partner:

TandemLaunch Technologies Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Data-Driven Non-Intrusive Load Monitoring for Farm Facilities based on Smart NeatMeter Devices

Canadian agriculture and agri-food system is one of the world’s strongest and plays a critical role in an economy increasingly dominated by manufacturing and service industries. Within the transition toward automation in agriculture and a significantly growing population, the tracking and visualizing farmers’ energy usage has become an unavoidable demand. Besides, the latest development in smart meter installed inside farm barns facilitates the real-time monitoring of various electrical appliances’ energy consumption and in turn help farms operate more efficiently and sustainably. Most existing load monitoring approaches so far obtain electricity data by installing sensors at appliances or power outlets. This project targets at developing a load monitor solution for farm barns based on a single meter. In this project, the Rakr Inc and the researchers at Carleton University will collaborate to develop deep learning algorithms to identify appliances’ load patterns in farm barns.

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Faculty Supervisor:

Shichao Liu

Student:

Nahal Iliaee

Partner:

Rakr Inc

Discipline:

Other

Sector:

Agriculture

University:

Carleton University

Program:

Accelerate

Feasibility Study of Wave Energy Conversion with Grid Connectivity

A renewable energy source that has not received much attention is tidal and wave energy, although numerous studies have concluded that wave power, and to a lesser extent tidal power, could contribute massive amounts to the overall energy picture. This project aims to explore the feasibility of tidal/wave energy absorption and its storage in the form of on-shore energy bank and using that to power on shore devices/generators. The primary activities in the proposed R&D activity include developing a proof-of-concept system in the lab as a pilot system for performing certain experiments using a hardware-in-the-loop platform. The lab-scale system can help to identify feasibility and performance of a scaled-up system under more practical conditions and the possibility of commercialization. The concept to be explored is an offshore surface floating foil that acts as a buoy, which acts to raise and lower a mechanical arm located at a nearby onshore pivot point.
This study will produce proof-of-concept results and help the team and the partner organization, Greenergy, in making commercialization decisions on the developed technology that has desirable features such as high-efficiency, economic viability, and environmental friendliness.

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Faculty Supervisor:

Jiacheng Jason Wang;Mehrdad Moallem

Student:

Saeed Rezaee

Partner:

Greenergy

Discipline:

Engineering - mechanical

Sector:

University:

Simon Fraser University

Program:

Accelerate

Predictive Models for Customers’ Engagement in a Small and Medium-Sized Enterprise’s Business Ecosystem Network

In the era of digitization, the success of an SME significantly depends on the active engagement with other actors (e.g., brand consumers, suppliers, influencers) in their business ecosystem. In this research project, we propose to develop an engagement model based on the business ecosystem network. These models will predict the customer engagement community association and engagement score. Our model will help the partner organization to understand the critical factor of the life cycle for any particular business on their platform. This model will also give the advantage of developing customer-focused personalized features, marketing strategies to our partner organization, thus solidifying its market position in this sector.

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Faculty Supervisor:

Elkafi Hassini

Student:

Dewan Ferdous Wahid

Partner:

FreshBooks Cloud Accounting

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

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