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

Building Information Model for the Automation of Residential Design and Construction

This research project will automate construction drawings for wood framing designs and apply them on site to residential facilities under construction by Landmark Master Builder. By utilizing 3D modelling, the intern will produce automatically-generated sets of construction drawings that can be easily read and understood by carpenters and framers who assemble wall panels, thus eliminating the drafting time involved in such operations. The intern will also provide an exact take-off list of materials required for construction and an optimization model. This model will generate cutting lists that will inform carpenters and framers which lumber lengths to use and how to cut them in order to minimize waste. The model will be developed based on linear programming and will derive a solution from many cut lists with minimal waste value.

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Faculty Supervisor:

Dr. Mohamed Al-Hussein

Student:

Juan D. Manrique

Partner:

Landmark Master Builder

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Alberta

Program:

Accelerate

Asset & Liability Management – Forecasting Volume and Duration of Core Demand Deposits

Demand deposits accounted for more than 27% of the total liabilities of Canadian Western Bank at the end of 2006. These deposits have no specific maturities and may behave as current liabilities or as longer maturing liabilities. The bank pays lower interest on the demand deposits than on the most part of fixed-term deposits. If we can estimate the portion of the demand deposits that act as longer-term liabilities, we can invest that amount in assets with a higher rate of return. This amount is referred to as “core deposits”. Thus, the purpose of this project is to develop a methodology to model the balance of demand deposits and to obtain the amount of core deposits as well as to find out the implied duration of demand deposits.

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Faculty Supervisor:

Dr. Cho-Jieh Chen

Student:

Jiayuan Lu

Partner:

Canadian Western Bank

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

University of Alberta

Program:

Accelerate

A Statistical Model to Assess Cognitive Skills

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Assessment of learned knowledge needs to focus on two distinct aspects: knowledge retention and associated cognitive skills. Knowledge retention not only refers to the ability to recall learned facts but also the ability to understand the relationship between these facts (ie to understand the structure of the learned domain knowledge). Traditional test types, such as multiple choice items, typically only test a student’s ability to recognize learned facts in isolation and in the same form in which they were learned. In contrast, this project applies machine-learning techniques and involves the design of test items which are aimed at testing a student’s deep understanding of a domain, namely the ability to recall facts in novel contexts (thus requiring the student to develop a domain-independent representation) and the ability to represent the structure of the acquired knowledge (thus requiring the student to develop an understanding at different levels of abstraction).

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Faculty Supervisor:

Dr. Irene Cheng

Student:

Christopher Kerr

Partner:

Castle Rock Research Corp.

Discipline:

Computer science

Sector:

Education

University:

University of Alberta

Program:

Accelerate

A Parameter-based Statistical Algorithm for Math Items in Multimedia Education

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. This project involves the design of a parameter-based statistical algorithm to automatically generate math questions for multimedia education applications. Rather than relying on a curriculum designer to create questions one by one, multiple questions can be generated by the algorithm. By varying the parameter values, the model is able to control the difficulty level of the questions. Different from the multiple choice question, where only “correct” or “wrong” can be awarded, this model is capable of scoring partial marks. The algorithm will be used in the Castle Rock Online Multimedia Learning and Testing System.

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Faculty Supervisor:

Dr. Irene Cheng

Student:

Rui Shen

Partner:

Castle Rock Research Corp.

Discipline:

Computer science

Sector:

Education

University:

University of Alberta

Program:

Accelerate

Virtual Prototyping of Advanced Hybrid Vehicle Powertrain Architecture for Design Optimization

Hybrid vehicle technology is an important and exciting area of research. This internship is with Azure Dynamics, a BC company that designs and manufactures hybrid powertrains for commercial vehicles. The intern’s research will examine state-of-the-art hybrid vehicle powertrain architectures to determine the performance capabilities of the various designs, perform performance and cost analysis and conduct system optimization to identify the optimal design. The project will lead to the optimal hybrid powertrain design for the type of commercial hybrid trucks which are to be produced by Azure Dynamics.

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Faculty Supervisor:

Dr. Zuomin Dong

Student:

Jeffrey Wishart

Partner:

Azure Dynamics

Discipline:

Engineering

Sector:

Automotive and transportation

University:

University of Victoria

Program:

Accelerate

Statistical Characterization of Real-World Distributed System Workloads

Enquisite Software provides analytical services to corporate clients through the “mining” of data detailing how the clients’ customers interact with the clients’ Internet points-of-presence. To facilitate this work, Enquisite collects a continuous stream of client interaction data, which is stored in an Enquisite-held repository, over which Enquisite clients perform on-demand queries for business actionable knowledge. In order to cost-effectively build the IT system required to support their business model, Enquisite needs to understand the statistical nature of the workloads which their IT system must be designed to process. Thus, this internship will develop the required statistical workload models through the analysis of the historical workload records held by Enquisite.

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Faculty Supervisor:

Dr. Stephen Neville

Student:

Fiona Warman

Partner:

Enquisite Software Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Sedimentology, Stratigraphy and Provenance of the Upper Purcell Supergroup in Southeastern BC: Implications for Syn-depositional Tectonism

This proposal is for a focused study aimed at elucidating the depositional setting of the Upper Belt Purcell Supergroup. The goal of the study is to assess the potential of this Mesoproterozoic sequence for syngenetic mineralization, including SEDEX Pb-Zn and Cu deposits. Our aim is to identify periods of tectonic upheaval within the basin and in the adjacent sediment source terrane, as strata deposited during tectonic pulses show the greatest potential for syngenetic mineralization. Syn-depositional grabens commonly form the locus for syngenetic mineralization and detailed mapping and sampling along such structures identified through the course of this study will focus on characterizing their geometry and evolution.

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Faculty Supervisor:

Dr. Stephen Johnston

Student:

David Gardner

Partner:

Geological Survey of Canada

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

University of Victoria

Program:

Accelerate

Regional Mapping and Geochemistry of the Chilcotin Group Volcanic Rocks, South-central British Columbia

The intern will map, collect field geophysical data and sample the Tertiary Chilcotin Group (CG) volcanic rocks throughout its known extent in southern BC with the intent of creating a new regional geological map for the CG. The Tertiary Chilcotin Group covers approximately 36,500km2 of Mesozoic and Paleozoic basement rocks which are potentially highly prospective for base and precious metal deposits as well as hydrocarbon deposits in the Nechako Basin. However, the nature, distribution, stratigraphy, thickness variation, age and composition of this voluminous flood are poorly known. Map preparation will take place using the partner’s GIS mapping lab to build the coverage, themes and attributes. Subsequent analyses of the rock samples collected will provide compositional and isotopic data in order to better understand the nature and origin of these extensive basalts. The map(s) could provide a more robust decision-making tool for industrial mineral exploration geologists who are extrapolating the regional geology.

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Faculty Supervisor:

Dr. James Russell

Student:

Jacqueline Dohaney

Partner:

Natural Resources Canada

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

Natural Language Processing of Resumes

Matching potential employees to employment opportunities is a challenging task, which has significant commercial value. Employment agencies, departments in companies concerned with human resources and small company owners frequently have to read, or process, numerous resumes before identifying a short list of candidates. Working with Talent Technology, a developer of recruitment and hiring software and component technology, the intern will develop solutions in several areas of automated resume processing. The proposed project will investigate how an integration of statistical machine learning and rule based techniques from the area of natural language processing can be used to automate the resume processing task, and result in better matching and ranking of candidates for particular job descriptions. The research aims to provide algorithms, methodology and software for the rapid processing of large volumes of resumes.

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Faculty Supervisor:

Dr. Fred Popowich

Student:

Zhongmin Shi

Partner:

Talent Technology Corporation

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Mathematical Modelling and Computer Simulation of Advanced Hybrid Vehicle Power Systems with Different Energy Storage System Configurations and Parameters

Hybrid vehicle technology is an important and exciting area of research. This internship is with Azure Dynamics, a BC company that designs and manufactures hybrid powertrains for commercial vehicles. The intern’s research will provide a detailed energy storage system model and designs using various batteries, ultracapacitors and their combinations, as well as the computer simulation of various hybrid vehicle power systems using ADVISOR (Advanced VehIcle SimulatOR) and the company’s vehicle simulation software. Recent developments of battery and ultracapacitor hybrid energy storage system and their enabling power electronics will be studied and modelled. The research will support the modelling and design optimization of the hybrid powertrain for the type of commercial hybrid trucks which are to be produced by Azure Dynamics.

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Faculty Supervisor:

Dr. Zuomin Dong

Student:

Leon Zhou

Partner:

Azure Dynamics

Discipline:

Education

Sector:

Fuel cells

University:

University of Victoria

Program:

Accelerate

Mathematical Methods for Monitoring and Controlling Mite Infestations in Apple Orchards

Various species of mites pose significant challenges for apple growers worldwide. In order to control the mite infestations, miticides can be sprayed or predators can be introduced. The latter option leads to a complex ecology characterized by predator-prey relationships. Multiple species, with varying behaviours, give rise to complex population dynamics that must be better understood if apple growers are to prevent damage to their orchards effectively. Thus, the main objective of this internship research project is to develop effective control strategies based on a comprehensive model for mite dynamics in an orchard, such as ground cover management, use of pesticides compatible with biological control or conservation of predators. This work will be done in collaboration with Wildwood Labs, an independent research and consulting firm that also provides diagnostic and technology services in the areas of apiculture, entomology and integrated pest management. Previous research and data sets collected at the Atlantic Food and Horticulture Research Centre will be drawn upon to develop the model.

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Faculty Supervisor:

Dr. Holger Teismann

Student:

Rebecca Hammond

Partner:

Wildwood Labs Ltd.

Discipline:

Mathematics

Sector:

Agriculture

University:

Acadia University

Program:

Accelerate

Investigating the Molecular and Physiological Controls on the Bio-geographical Distribution of Phytoplankton Taxa using General Circulation Models

Computer simulations of the complex physical and chemical composition of the oceans are used to study how the ocean affects, and is affected by, climate. These models are essential to understanding how Earth’s climate is likely to change in the next century. This internship project proposes, in partnership with Environmental Proteomics, a company which provides products and services for the quantitative analysis of proteins, to add information about photosynthetic organisms to these models in an effort to understand how the physics of the oceans affects the ecology of phytoplankton. At present, expert knowledge and ship-based surveys are required to study marine phytoplankton ecology, and our ability to make long-term predictions is very limited. This work will be a step forward along a long path to improving predictions about the effects of climate change on marine biota and understanding potential feedbacks from phytoplankton to climate.

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Faculty Supervisor:

Dr. Andrew Irwin

Student:

Zhi-Ping Mei

Partner:

Environmental Proteomics

Discipline:

Oceanography

Sector:

Fisheries and wildlife

University:

Mount Allison University

Program:

Accelerate

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