Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
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579
NB
1120
NS

Projects by Category

Customer Lifetime Value Framework for the Banking Industry

The Customer Lifetime Value (CLV) framework provides a holistic approach to measurement and management of long-terms customer relations. The goal is to take into account all of the services and products customers need or might need across an organization and maximize long term benefits for both the firm and the customer. While simple in concept, CLV is not simple to implement. It requires integration and analysis of diverse data sources within the organization; for example, product offerings, prices and customer history, with data streams arriving from outside; for example, economic trends, actions of competitors and shifting customer preferences. Effective implementation requires advanced modelling of the interactions and responses in complex systems and, increasingly, expansion of Analytics and Big Data technologies. CLV builds on multiple metrics that track events in the customer life-cycle including acquisition, engagement, growth, and retention. This project will help Scotiabank integrate recent research advances and best practices in CLV into its operations. The project interns will implement techniques that assess the lifetime value of clients across multiple business lines under different planning scenarios and develop analytical methods for maximizing that value while meeting customer needs. TO BE CONT’D

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Faculty Supervisor:

Yuri Levin

Student:

Partner:

Scotiabank

Discipline:

Business

Sector:

Finance and Insurance; Commercial Services

University:

Queen's University

Program:

Accelerate

La mensa-recension dans le domaine de la conformité des firmes d’ingénierie et des entrepreneurs de la construction

Le projet vise à créer un outil de recherche, de base de données et d’aide à la décision en matière de conformité dans les firmes d’ingénierie et chez les entrepreneurs de la construction. Il faut d’abord rechercher les articles et documents qui traitent le spectre de la conformité dans les firmes d’ingénierie et chez les entrepreneurs de la construction. Les documents les plus importants doivent être résumés selon un modèle de mensa-rencension en vue d’être incorporés dans une base de données. La mensa-recension servira à l’écriture d’un livre destinée aux firmes de génie, aux entrepreneurs et aux universités. Les chapitres du livre comprendront une partie écrite par un expert de l’industrie et une recension des recherches les plus pertinentes. Le contenu des documents sera analysé en vue d’identifier les protocoles et démarches nécessaires pour améliorer les pratiques en conformité des firmes d’ingénierie et des entrepreneurs de construction afin de favoriser la conformité, la gouvernance et le contrôle du risque.

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Faculty Supervisor:

Claudiane Ouellet-Plamondon

Student:

Partner:

SNC-Lavalin Group Inc (Montreal, QC);WSP Canada Inc;Stantec Consulting (Montreal, QC)

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Genomic and metabolomic approaches to improving new economically important traits in pigs

Consumers are increasingly interested in how their pork is raised especially in terms of welfare (the five freedoms) and the use of antibiotics (in relation to antimicrobial resistance). This project will focus on pig behavioural traits such as aggressiveness, tail biting and social interaction and seek to develop new tools to allow these traits to be included within selection programs.

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Faculty Supervisor:

Graham Plastow

Student:

Partner:

Topigs Nosrvin-dupl

Discipline:

Life Sciences

Sector:

Agriculture and Food; Biotechnology; Life Sciences (not health)

University:

University of Alberta

Program:

Accelerate

Study on motor insulation coils subjected to high frequency PWM pulses

The insulation system of medium voltage motors is traditionally designed for 50/60 Hz power frequency; however, in some applications to reduce the size of the motor, higher frequencies may be used. Moreover, because of application of motor speed drives, the insulation system is subjected to repetitive fast pulses such as PWM. These pulses produce elevated electrical and thermal stresses on the motor insulation that can eventually lead to premature insulation failure. In this study, the complete insulation system of 13.8 kV motor coils is evaluated through qualification and performance tests. The coils will be evaluated in an accelerated ageing under PWM pulse voltage. Hence the development of a PWM pulse generator is required. Diagnostic tests will be performed before and after the test and the results will be analyzed. The results of this work will be used to do remedies and design new insulation system to withstand abovementioned conditions.

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Faculty Supervisor:

Sheshakemal Jayaram

Student:

Partner:

Discipline:

Engineering

Sector:

University:

University of Waterloo

Program:

Accelerate

Using proteomic techniques to develop a systems approach for the discovery of biomarkers and drug targets towards cancer and other diseases

Gliomas are the most common type of CNS cancers, originating from glial cells. Glioblastoma multiforme (GBM) is the most common, complex and aggressive form of brain tumor found in human adults. GBM results from transformed glial cell progenitors. These glial cells have been found to arise from neuronal stem cells (NSCs), which reside in the sub-ventricular zone (SVZ) region of the brain. Using proteomic techniques, we aim to better understand the protein expression patterns involved in different subtypes of GBM to identify biomarkers that can be used by practicing physicians to characterize glial cancers early on and recommend the most appropriate course of treatment for that particular patient. This project will enhance our understanding of sub-ventricular zone involvement in patients with GBM and help to identify potential drug targets for some of the signalling pathways that are implicated in this disease.

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Faculty Supervisor:

Andrew Mason

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Life Sciences

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Accumulation by Dispossession or Dispossessing Strategies of Accumulation in the Indian Periphery?

The proposed project will investigate the rise of grassroots resistance to industrial development in rural India. Research centres around a memorandum of understanding (MOU) negotiated in 2005 between the Government of Odisha (a coastal state in north-east India) and Pohang Steel Company of South Korea (POSCO) to construct the largest integrated steel plant in South Asia. Valued at $US 12 billion, it remains the largest single foreign direct investment (FDI) contract in India’s history. Despite the promise of growth and development for one of India’s most
impoverished regions, however, the project was vehemently resisted by local groups for over a decade, and today has been all but formally abandoned. In collaboration with Raju J. Das, an economic geographer at York University, and B. K. Sahoo, an economics professor at IIT
Kharagpur, I will determine how and why the megaproject was rejected, and what this has meant for state legitimacy in the region as a consequence. The project will also contribute empirical findings to bourgeoning literature on the class character of struggle over industrialization and dispossession in the Indian periphery. TO BE CONT’D

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Faculty Supervisor:

Raju Das

Student:

Partner:

Indian Institute of Technology Kharagpur

Discipline:

Sociology

Sector:

Education

University:

York University

Program:

Globalink Research Award

Identifying students’ thinking skills based on the pattern analysis of their interaction behaviours observed in virtual worlds

Virtual worlds, like Second Life, have been adopted by researchers to assess students’ understandings of the knowledge they have learned.
Students’ performances of solving the challenges and quests in the virtual worlds can be treated as their overall mastery of the taught concepts and skills. However, the answers of the questions like “do they have a clear idea of what concepts, theorems, and procedures the challenges involve” and “how familiar are they with the procedural knowledge and its associated objects (i.e.., equipment and tools) that fit their needs while solving the challenges” remain unknown. This research project aims to find the answers to the two questions by analyzing students’ interactions with the objects in the virtual world from both of intensity and time spent viewpoints. This research also aims to develop a metrics of mapping and measuring a student’s mastery level for each learning objective covered by objects in the virtual world based on his or her extracted interaction behaviour pattern. TO BE CONT’D

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Faculty Supervisor:

Maiga Chang

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Computer science

Sector:

Education

University:

Athabasca University

Program:

Globalink Research Award

Study of the cure of CIR and FDR emulsion treated materials

The proposed research project is on asphalt rehabilitation materials called cold in-place recycling (CIR) and full depth reclamation (FDR). Those pavement rehabilitation techniques are gaining popularity because of their lower cost and their lower environmental footprint than conventional pavement reconstruction. In both case, asphalt pavement, and a part of the granular base for FDR, are pulverized and mixed with asphalt emulsion, at room temperature, before being compacted. In the field, those materials have proven their efficiency. In order to characterize those in laboratory, there is a need to make a cure. The cure is the time that the material needs to reach its bearing capacity. There is actually no
standardized cure which results in very different mechanical results from the specimens from different laboratory. In this project, it’s proposed to study the effect of the length and temperature of the cure. Post-compaction, to simulate the effect of traffic during the cure, will also be studied. For that, the student will test different mix with different curing protocol in the hope to better understand the cure and established a universal cure methodology.

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Faculty Supervisor:

Alan Carter

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program:

Globalink Research Award

Mathematical Modeling of Fetal Cardiovascular, Neurovascular, and Metabolic Response to Umbilical Cord Occlusions

Acidification of fetal blood presents one of the greatest risks to the fetus during childbirth. Current monitoring technologies focusing on recording fetal heart rate are poor indicators of fetal stress levels, and provide minimal assistance in clinical decision-making. This is due to a lack of understanding about which features of fetal heart rate best represent blood acid levels. Since fetal heart rate is one of the most inexpensive and easily obtained measurements of fetal stress, identifying the properties of fetal heart that best predict the outcome of labour is a highly relevant research goal. Mathematical and computer modeling presents an opportunity to analyze different features of fetal heart rate in a systematic way, without the need for expensive or impossible to perform experiments. The goal of our research is to develop a mathematical model that reproduces observed changes in fetal heart rate during labour, and precisely correlate these changes to blood acid levels. This will allow researchers and clinicians alike to better monitor fetal stress from easily obtained signals.

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Faculty Supervisor:

Huaxiong Huang

Student:

Partner:

Université Pierre et Marie Curie

Discipline:

Mathematics

Sector:

Education

University:

York University

Program:

Globalink Research Award

Human Body Model Acquisition and Tracking using RGB-D camera

Acquisition and tracking of human body is a key research problem in the fields of computer vision, computer graphics, and biomechanics. We propose a system that can used to create personalized human body model in normal room environment using just a single RGB-D camera. We want our system to be robust against illumination variations and complex background. Our system first estimates user specific full body model by registering a template body mesh to a point cloud estimated by the depth camera. We track important landmarks of human body visible in the video using large displacement optical flow techniques. The corresponding 3D landmarks in the template mesh are annotated and projected to the image plane using camera projection matrix. Using an optimization technique we correct the locations of the projected markers by minimizing their deviation from the tracked 2D landmarks. Based on these corrections we update registered mesh which can be used as a personalized avatar of the user. The system will be designed to keep the requirement of manual processing, such as camera calibration and landmark selection, to a minimum.

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Faculty Supervisor:

Dinesh Pai

Student:

Partner:

Université Grenoble Alpes

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Learning Algorithm for Quantum Error Correction

Using quantum mechanics to improve information technology has been an interdisciplinary exercise. The challenge in implementing quantum information technology arises primarily from the fragile nature of quantum systems under various noises. We focus on the problem of correcting such errors that occur in the superconducting quantum circuits, which is a promising candidate for realizing a scalable quantum computer. Although there exist a few proposals for quantum error correction in superconducting circuits, a scalable high-fidelity implementation of these
algorithms require precise control over the superconducting circuit parameters. We propose to use a learning algorithm, which is a tool from computer science, to generate fast, high-fidelity implementation of quantum error correction under realistic constraints on the superconducting control electronics. This problem will be investigated using computer simulation in order to access the feasibility of the method.

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Faculty Supervisor:

Barry Sanders

Student:

Partner:

Inria Paris - Rocquencourt Research Centre

Discipline:

Physics

Sector:

University:

University of Calgary

Program:

Globalink Research Award

Processes Governing Hydrocarbon Movement in Heterogenous Soils

Groundwater contamination by hydrocarbon fuels such as gasoline and diesel fuel is a serious threat to the environment and human health. Sources of this contamination include leaking underground storage tanks, pipleline breaks, tanker truck accidents and train derailments. There is a need for improved understanding of the mobility of hydrocarbon fuels in the subsurface to allow more accurate risk assessment and design of more effective remediation schemes. This project will involve a field study and computer modelling study to develop new guidelines for managing sites contaminated with hydrocarbon fuels.

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Faculty Supervisor:

Brent Sleep

Student:

Partner:

ARCADIS Canada Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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