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

Attention and executive function training in children with Autism Spectrum Disorder

Many children with ASD experience significant difficulties with attention and executive function. This research will investigate the effects of a direct attention and executive function training intervention in children ages 6 to 12 with ASD (high functioning). Research has shown that it is possible to improve attention and executive functioning in children with various neuropathologies. Participants will complete pre and post testing of their attention, executive function, social, academic, and behavioral functioning. Children will then be randomly assigned to an active treatment (1) or waitlist control group (2). Group 1 will start the intervention immediately, whereas Group 2 will start once Group 1 has finished. Our methodology will allow all participants to receive intervention, while controlling for factors that may be unrelated to the active intervention. The intern will deliver the intervention over 8 to 10 weeks (24, 30 minute sessions). The intervention consists of a series of five practiced tasks that self-adjust but gradually increase in difficulty, are presented in a computerized ‘game-like’ format, and which exercise various aspects of attention/executive function. This research holds benefit for children with ASD and their families, through improvement in attention/executive functioning, and consequently better social, behavioral, and academic function. The school district partner will benefit through potentially improved functioning in children with ASD, reduction of secondary disabilities, and enhancement of other standard academic interventions. Through ongoing interaction and collaboration with the student intern (in addition to formal presentation of the study results), the school district will gain valuable knowledge and practical skills regarding evidence-based interventions for ASD and attention/executive functioning.

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Faculty Supervisor:

Drs. Sarah J. Macoun & Kimberly A. Kerns

Student:

Andrew Sung

Partner:

Sooke School District

Discipline:

Psychology

Sector:

Life sciences

University:

University of Victoria

Program:

Accelerate

Cebas Fluid Solver

This project seeks to develop a fluid solver that is capable of simulating the interaction between low viscosity fluids and solid objects, such as pouring down water from a water pitcher onto the ground.
Fluid effects such as splashing water are widely used in video game and film industry. As a visual effect solution provider, Cebas Visual Technology is very interested to develop fluid solver, and such a development experience is for the intern student.

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Faculty Supervisor:

Dr. Amy Gooch

Student:

Li Ji

Partner:

Cebas Visual Technology Inc.

Discipline:

Computer science

Sector:

Digital media

University:

University of Victoria

Program:

Accelerate

The Black Experience Project (BEP) in the Greater Toronto Area

This project provides the groundwork and covers the critical first steps of a multi-year research study that examines the lived experience of Black Canadians in the Greater Toronto Area (GTA). The purpose of this larger study is to better understand the nature of the challenges facing the Black community, through exploring the lived experiences of individuals within this community (focusing on values, identity, aspirations and experiences), and the factors leading to success or failure. The literature review will provide an analytical framework and will help to contextualize this project within the body of literature that has been written on the experiences of Black individuals in both Canada and the United States. The collection, organization, and synthesis of this literature will also help to shift attention from overt barriers, such as those “cultural/social phenomena that motivate discriminatory behavior” (Robinson, 2009, p. 98), and will begin to focus more on the systemic issues that perpetuate economic, social, political, and educational disparities that disproportionately affect Black Canadians. Further, this analysis identifies and studies those specific cultural, structural, and demographic aspects that differentiate the experience of Blackness from other ethno-cultural and visible minority groups as well as to differentiate the experiences of different sub-groups within the Black community itself (Gary & Leashore, 1982; Butcher, 1994; Fong, 1996; Hughes & Dodge, 1997; Stoll, 1998; Culbreth, 2006; Dickerson, 2007; Pettit & Ewert, 2009).

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Faculty Supervisor:

Wendy Cukier

Student:

Charmaine Grant

Partner:

Environics Institute

Discipline:

Business

Sector:

Education

University:

Ryerson University

Program:

Accelerate

Examining the watershed-scale spatial distribution of cold water refugia in an Atlantic salmon river basin

The Atlantic salmon is unable to regulate its body temperature, and is therefore at risk from the negative effects of climate change. During summer heatwaves when river water exceeds 23°, Atlantic salmon become thermally stressed and move into small cold water patches in order to survive. These patches are known as ‘thermal refugia’ and are thought to be significant in allowing salmon to survive increased water temperatures. Although thermal refugia have been studied in the past, previous research has only looked at the behaviour of fish around isolated cold water patches, and no-one has conducted a detailed study analysing the distribution of thermal refugia within an entire watershed and their effect on salmon populations. This project intends to document the distribution of refugia present within the Restigouche River watershed with a view to aiding scientists understand how climate change may alter these important cold water patches that are key in ensuring the survival of salmon.

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Faculty Supervisor:

Dr. Normand Bergeron

Student:

Stephen Dugdale

Partner:

Conseil de Gestion du Bassin Versant de la Rivière Restigouche

Discipline:

Environmental sciences

Sector:

Fisheries and wildlife

University:

Université INRS

Program:

Accelerate

Enabling community well-being monitoring: Naskapi Nation of Kawawachikamach (Quebec)

The Naskapi Nation is a small, isolated Aboriginal community located in northern Quebec. Accessible only by air and rail, the community has been affected by significant mineral development to date. Do to the rich mineral area surrounding the community extractive companies have implemented plans for further development. This has raised local concerns regarding the range of environmental and socio-economic impacts that may be caused by development. Given the scale of proposed mining activity in this region, there is a need to develop a process to track community well-being over time, using community personnel and indicators that are meaningful to community members. Beyond offering an accurate picture of community change in light of mineral development, such time series evidence also provides a basis for community leadership to revisit past decisions and make corrective action if need be. The first step in such a process is to establish a baseline of well-being.

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Faculty Supervisor:

Dr. Ben Bradshaw

Student:

Robert Klinck

Partner:

Naskapi Nation of Kawawachikamach

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

University of Guelph

Program:

Accelerate

Privacy analysis of mobile analytics

Many companies require the gathering of user behavioural data from mobile devices and device applications in order to: i) improve their products, ii) monitor their systems, iii) engage in targeted marketing, etc. Significant privacy concerns exist with the measurement and storage of such data. In general, existing research highlights that data anonymization can be insufficient to fully address these risks, i.e. that anonymized data can be clustered and correlated with external sources to reveal private information. The emerging legal and statutory frameworks around privacy entail that there is beginning to be a strong need to be able to quantify privacy issues in terms of their resultant business risks, as well as a need to be able to properly restructure business solutions to mitigate these risks. The focus of this internship is to develop formal quantitative methodologies to explore these issues within the limited context of a specific set of industry-held data sets within the domain of assessing user quality of experience (QoE) for mobile device apps. The lessons learned via analyzing these issues with respect to this data will then be provide the basis for a case study which will then, ideally, lead to a more generalized solution approach to these issues. This work will be conducted as part of the University of Victoria’s Entrepreneurial Engineering Masters Program, and hence, under the strong guidance of Wesley Clover and the Alacrity Foundation such that the full intension is to produce industry-usable and applicable results.

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Faculty Supervisor:

Dr. Thomas Darcie

Student:

Rob O’Dwyer

Partner:

Wesley Clover

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Seismic design of eccentrically-braced frames with & without vertical ties for irregular buildings

The project aims at developing cost-effective steel seismic force resisting systems for multi-storey building structures that can achieved superior performance in terms of seismic stability and amplitude of damage. The system can be used for the construction of new structures or the seismic rehabilitation of existing structures. The system could also be implemented when adding storeys to existing buildings to increase the usable floor space. The internship will permit to develop and verify the applicability of the new systems to actual building constructions. The industrial partner will benefit from the project by being exposed to newer technologies that have been or are currently being developed to resist earthquake effects for multi-storey steel structures. SBSA will also be exposed to the new analysis tools and criteria that are used to evaluate the seismic performance of building structures. The partner will then be capable of using the newer structural systems in future projects.

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Faculty Supervisor:

Drs. Robert Tremblay & Lucia Tirca

Student:

Liang Chen

Partner:

SBSA Structural Engineers

Discipline:

Engineering - civil

Sector:

Construction and infrastructure

University:

Polytechnique Montréal

Program:

Accelerate

Interactive visualization of design stories for parametric design systems

This project involves the development and implementation of a visualization, analysis and exploration prototype for a parametric CAD tool. The prototype focuses on the design process; that is, the collection of actions taken by designers as they develop solutions. The visualization will allow designers to analyze, understand and make better decisions based on single actions and/or patterns across time. Designers using the prototype will be able to explore new design solutions derived from this knowledge using the visualization itself. The partner organization will benefit by having a prototype that allows designers of the built environment to view their design process, the highlights and pitfalls, and enable further exploration to find better solutions based on these insights.

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Faculty Supervisor:

Halil Erhan

Student:

Rodolfo Sanchez

Partner:

AeroInfo Systems - A Boeing Company

Discipline:

Interactive arts and technology

Sector:

Aerospace and defense

University:

Simon Fraser University

Program:

Accelerate

Nonlinear projection methods for prediction of trends in cancer incidence and mortality

Main aim of this project is to develop a prediction model for cancer projection, with detailed information regarding incidence, mortality and other measures of cancer burden for the most common types of cancer, presented by age, sex, time and geographic locations. These data can help stimulate new research as well as assist decision-making and priority-setting at the individual, community, provincial/territorial and national levels. This prediction model can be implemented by using historical data to model trends of cancer risk, and extrapolating the trends into the future to project the rates and numbers. Monitoring cancer incidence and mortality time trends is essential for cancer research and health-care planning. Predicting the future cancer burden is one of the first steps in knowing how to allocate resources most effectively and formulate guidelines on cancer screening to reduce the morbidity and mortality from cancer, and to improve the quality of life of cancer patients and their families.

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Faculty Supervisor:

Dr. William Melek

Student:

Smita Kachroo

Partner:

Alpha Global IT

Discipline:

Mathematics

Sector:

Life sciences

University:

University of Waterloo

Program:

Accelerate

Software for prediction of postoperative atrial fibrillation following bypass surgery

The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in ‘training’ data consisting of several labeled examples, and to using the results to classify new unlabeled data with remarkable sensitivity and specificity. We propose the development of advanced clinical decision support software capable of automatically gathering and analyzing relevant clinical data from patients undergoing CABG in order to provide physicians with objective and non-invasive insights into the likelihood of sustained postoperative AF so that patient morbidity and mortality, as well as healthcare costs, can be significantly reduced by targeting appropriate preventative therapies.

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Faculty Supervisor:

Drs. Selim Akl & Damian Redfearn

Student:

Geoffrey Seaborn

Partner:

Kingston General Hospital

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Queen's University

Program:

Accelerate

HT-HTO-OBT Conversions in Rhubarb Plants and Soil

Tritium, the only radioactive isotope of hydrogen, is routinely released to the air by nuclear industry. It can later be deposited in soils or taken up by plants, usually in the form of water. Though current levels are not inherently dangerous to humans, understanding how tritium evolves once emitted is critical to generating effective regulatory policies that ensure public safety and support industry. This project, in partnership with SRB Technologies in Pembroke, Ontario, will examine how quickly tritium gas (HT) is converted to tritium in water (HTO) in soils, as well as how it is incorporated into plant material (organically bound tritium) during photosynthesis. This will help advance current models of tritium movement in the environment. The results of this investigation will also assist SRBT in making informed decisions regarding the day-to-day operations of their facility, as well as ensure the continued transparency and accountability that is a hallmark of the Canadian nuclear industry.

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Faculty Supervisor:

Dr. Ian Clark

Student:

Brett DeHay-Turner

Partner:

SRB Technologies

Discipline:

Environmental sciences

Sector:

Agriculture

University:

University of Ottawa

Program:

Accelerate

Energy efficient integrated design of flight management systems and autopilots

The amount of emissions to the atmosphere is currently an important environmental concern as policy makers and Heads of State are starting to demonstrate a strong interest in energy efficient transportation, in particular energy efficient aircraft. However, current autopilot technology will often not take into account the energy used to perform a given maneuver which can lead to potentially larger fuel consumption and larger atmospheric emissions than what is strictly necessary. The task of energy optimization is typically left to a flight management system (FMS). However, the next generation aircraft will require additional functionality in fuel efficiency that can benefit from a tighter and better interaction of the FMS and the autopilot subsystems. For such a scenario, this research proposes to perform an integrated design of the FMS-autopilot ensemble to be more energy efficient. A first collaborative effort of the applicants, has involved the study of energy efficient autopilot design methods for fixed set points. We now propose to study optimal control solutions for the interconnection of the FMS to the autopilot and propose new techniques of design of the FMS-autopilot ensemble seen as a synergetic unit.

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Faculty Supervisor:

Dr. Luis Rodrigues

Student:

Sahar Sedaghati

Partner:

Mechtronix

Discipline:

Engineering - computer / electrical

Sector:

Aerospace and defense

University:

Concordia University

Program:

Accelerate

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