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

The impact of hypernasality on the perception of prosody

Hypernasality is a speech disorders that results from excessive sound coming through the nose during speech. A speaker afflicted with hypernasality may be perceived as sounding flat and monotonous because the nasal murmur masks the inflections of the fundamental frequency (Kummer, 2008). However, the masking of prosody by the nasal murmur has not been investigated systematically. The first goal of the proposed study is to investigate how the presence of hypernasality affects the listener’s perception of prosodic pitch inflections. My second goal is to find out whether speakers of Brazilian Portuguese are more successful than speakers of English at differentiating prosodic variation in the presence of hypernasality, since Brazilian Portuguese contains more nasal vowels. The resulting knowledge of this study will have practical applications in speech-language pathology related to the counseling of hypernasal individuals with conditions such as cleft palate or dysarthria and may help develop approaches for speech therapy. 

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Faculty Supervisor:

Tim Bressmann

Student:

Monique Tardif

Partner:

Discipline:

Medicine

Sector:

University:

Program:

Globalink Research Award

Filling in the gaps of the IMD immune pathway of the kissing bug Rhodnius prolixus

Rhodnius prolixus is a hemathophagous insect that has served for decades as a model to study insect physiology. Rhodnius prolixus is also a major vector of Trypanosoma cruzi, the etiological agent of Chagas disease that kills 45,000 people annually and affects over 8 million people worldwide. The genome of R. prolixus contains ~15,500 predicted protein-coding genes. Many pathways such as the Toll and JAK-STAT pathways were present. Key components of the highly conserved IMD pathway, however, were not detected; this observation is also shared with other hemimetabolous insects: the pea aphid, the bedbug, and the head louse. Despite the fact that many genes of the IMD pathway are not found in the R. prolixus genome, effector immune genes normally regulated by the IMD pathway are still expressed after a bacterial infection. 

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Faculty Supervisor:

Carl Lowenberger

Student:

Nicolas Salcedo

Partner:

Discipline:

Biology

Sector:

University:

Program:

Globalink Research Award

Financing China’s Industrial Adjustment

The research project examines how social and political groups make critical policy choices in a challenging economic context. Focusing on the sub-provincial cases in China, the project aims to examine the process of financial reform during a period of declining economic growth. Examining the government-business relations, the research addresses the challenges that the Chinese political elites face to address the critical needs of diversifying its financial system in order to facilitate economic growth without losing control and oversight over its institutions. From a theoretical perspective, the project aims to shed light on state-building through regulatory reform in a unique political system like China during a period of industrial adjustment. From an empirical perspective, the project contributes our understanding on how an East Asian developmental state adapts to Western financial system by localizing financial practices.

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Faculty Supervisor:

Lynette Ong

Student:

Asif Farooq

Partner:

Discipline:

Political science

Sector:

University:

Program:

Globalink

Measuring the carbon footprint of soy bean in Brazil

World population is expected to increase between 8 and 11 billion people by 2050. This growth will be accompanied by an increasing demand in food. Additionally, climate change is expected to have consequences on crop productivity because there will be changes in temperature and precipitation patterns. For that reason, there is an increasing concern over food security and farmers must make use of all available technologies to meet future food needs but also make sure that the environmental impact is reduced. This research will make direct field measurements of the carbon footprint of rain-fed soybean, or the amount of carbon dioxide that is released from food production. Results will provide key parameters regarding the carbon budget of soybean in the region and will help in future research regarding adaptation to the effects of climate change on agriculture.

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Faculty Supervisor:

Mark Johnson

Student:

Brenda D'Acunha

Partner:

Discipline:

Environmental sciences

Sector:

University:

Program:

Globalink

Improving Cellulose NanocrystalPerformance through Understanding of Thermal and Colloidal Stability

Cellulose nanocrystals (CNCs) are natural bio-based nanoparticles that can be used to modify the viscosity and improve the performance of various fluids. For this reason, they are of interest to the oil and gas industry, where they can replace other expensive and non-biodegradable polymers that are commonly used. CNCs must first be modified so that they do not degrade or settle at high temperatures and pressures. To accomplish this, CNCs will be extracted from cotton using a variety of methods or by post-modifying the nanoparticle surface to have new chemical groups and new functionality. The produced CNCs will be subjected to high temperatures and pressures and their properties will be measured before and after heat treatment. It is hypothesized that by altering the amount and type of surface groups on the CNCs, the stability of these nanoparticles at high temperatures can be maintained.

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Faculty Supervisor:

Emily Cranston

Student:

Oriana Vanderfleet

Partner:

Discipline:

Engineering - chemical / biological

Sector:

University:

Program:

Globalink

Real-Time Signal Optimization and Emissions Estimation Using Big Data Sources

In recent years technological developments have created a new paradigm where data can be obtained easily and with less effort than in the past. This shift is often called “Big Data”, and its effects can be seen as in many different fields. This proposal follows the same vein, and focusses on taking advantage of the increasing prevalence of connected devices. Modern devices broadcast unique addresses as they attempt to connect to WiFi or Bluetooth networks, and these addresses can be used to obtain estimates of traffic parameters such as volume, travel time, turning movements, and even the emissions generated by vehicles. These parameters can then be used to optimize the traffic system by changing signal timings and then collect feedback on the results of these changes. This project will take advantage of the wide array of resources and support available at WHUT to develop new and innovative technologies that use these data sources.

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Faculty Supervisor:

Liping Fu

Student:

Matthew Muresan

Partner:

Discipline:

Engineering - civil

Sector:

University:

Program:

Globalink

Nano topographical substrate modification of cell delivery system for treatment of MI

There is no memorandum project overview associated with this application.

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Faculty Supervisor:

Evelyn Yim

Student:

Miyeon Noh

Partner:

Discipline:

Engineering - chemical / biological

Sector:

University:

Program:

Globalink

The viscous disk model for 66 Ophiuchi constrained by spec

My project focuses on a particular kind of massive star that are surrounded by disks called B-emission (Be) stars. These objects
are ideal laboratories for studying disks. Massive stars can spew out a thousand times more energy per second than our Sun and
because the disk is formed from gas launched from the star, they are not shrouded in dust like star forming regions where we find
disks. They are also numerous – hundreds of Be stars exist right in our own galaxy!
Despite decades of study we still don’t know why the disk forms and this is the major puzzle in this field of research. The rapid
rotation of the star certainly helps to propel material off the surface into the disk but we don’t think that this quick rotation provides
enough of a kick. Something else must help to eject the material – perhaps gravity from an orbiting star, a wave or pulsation on
the stellar surface or a push from the stellar radiation. TO BE CONT.

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Faculty Supervisor:

Carol Jones

Student:

Daniel Hatfield

Partner:

Discipline:

Physics / Astronomy

Sector:

University:

Program:

Globalink

Deep-learning-based prediction of seismic response of nonlinear structural system

There is no memorandum project overview associated with this application.

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Faculty Supervisor:

Oh-Sung Kwon

Student:

Taeyong Kim

Partner:

Discipline:

Engineering - civil

Sector:

University:

Program:

Globalink

Interoperability of proofs with Dedukti and Beluga

Critical systems such as transportation systems require a high level of safety that can only be achieved with formal proof. Such formal proofs are typically expressed in some logic that can be verified by theorem provers. The diversity of theorem provers and logics has a negative consequence: the same theorem is proved many times and it is difficult for these systems to co-operate, because they do not implement the same logic. Logical frameworks are a class of theorem provers that overcome this issue by providing a generic framework in which we can represent and specify various logics. The logical framework Dedukti developed at INRIA shines when it comes to compactly represent logics using user-defined rewrite rules, but lacks the ability to write proof transformations between logics. The logical framework Beluga developed at McGill excels in writing such proof transformations, but does not allow user-defined rewrite rules. This project aims at building a new logical framework combining the strengths of Dedukti and Beluga. Concretely, we plan to first design  a unified logical framework that supports both user-defined rewrite rules and the ability to write proof transformations. 

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Faculty Supervisor:

Brigitte Pientka

Student:

François Thiré

Partner:

Discipline:

Computer science

Sector:

University:

Program:

Globalink Research Award

Development and Validation of Software for the Three-dimensional Quantification and Visualization of Blood Flow Hemodynamics in Patients with Aortic Insufficiency using 4D flow MRI. Year 2

The aim of this proposal is to assist in the development and validation of a dedicated 4D flow MRI analysis software for the evaluation of aortic valve insufficiency. Before being commercialized this software requires validation considering the large amount of data required to be pre-processed (over 2,000 files per case), elemental data corrections, data analysis preparation, data analysis algorithms, and 3D visualization. We will develop an efficient and standardized workflow for 4D flow MRI pre-processing and blood flow analysis with the aim of validating the latter against current clinical reference standard of Doppler Echocardiography to assess the severity of aortic insufficiency across various disease models.

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Faculty Supervisor:

James White

Student:

JULIO GARCIA FLORES

Partner:

Circle Cardiovascular Imaging Inc

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Elevate

GPU platforms for highly parallel EMT simulation – Year 2

A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the Electromagnetic transient (EMT) simulation is a widely used and most accurate tool for power systems network simulations. EMT simulation is very important for various design, testing and analysis of power systems networks involved in generation, transmission and distribution of electrical energy. PSCAD is one of such commercially available and very popular EMT-simulation tool in the area. Computer based simulation becomes very time consuming for large networks due to the requirement of detailed mathematical modeling of various components involved in the simulation. TO BE CONT’D

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Faculty Supervisor:

Aniruddha Gole

Student:

JAYANTA KUMAR DEBNATH

Partner:

Manitoba HVDC Research Centre

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Elevate

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