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

Social Sustainability of Canada’s Parks: The Case of the Banff Corridor

Protected areas naturally attract conservationists keen to preserve pristine environments. Hospitality companies exploit these areas to expand tourism. Private interests are often supported by lobby groups such as chambers of commerce and hotel associations. Between the conservationists and private sector owners are the employees that provide essential services from chambermaids to bartenders who mostly earn minimum wage. These workers have seen their negotiating power eroded due to the lack of organization and representation unlike powerful environmental groups and private enterprise. Among the key questions that this study hopes to answer are: What are the impediments to offering a living wage to employees working in the Canmore-Banff-Lake Louise corridor? The key policy question regards the net benefits accruing to economic, environmental and social sustainability of the Banff Corridor by offering a living wage.

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Faculty Supervisor:

Irene Herremans

Student:

Linda Ambrosie

Partner:

Outdoor Council of Canada

Discipline:

Business

Sector:

Environmental industry

University:

Program:

Accelerate

Modeling fatal and non-fatal occupational injuries in Saskatchewan: identifying the leading risk fact

Work-related morbidity and mortality not only result in loss of time at work, reduction of the overall productivity, increase of the additional hiring and training costs and increased use of medical and welfare services, but it also results in suffering and hardship for the worker and his or her family. The Workers’ Compensation Board of Saskatchewan (WCB-SK) strives to advance scientific and technical knowledge in understanding the occupational injury and fatality risks to reduce the incidence or severity of injury in Saskatchewan. As such, in collaboration with WCB-SK, advanced statistical models will be developed with the primary goal of identifying the leading indicators for the risk of occupational fatal and non-fatal injuries.

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Faculty Supervisor:

Cindy Feng

Student:

Roya Gavanji

Partner:

Workers’ Compensation Board of Saskatchewan

Discipline:

Epidemiology / Public health and policy

Sector:

Medical devices

University:

Program:

Accelerate

Using Deep Convolutional Neural Networks to predict compound-target interactions

Getting a new drug from the laboratory into the market is a lengthy and costly process which takes on average 12 years and over US$350 million to accomplish. It is composed of roughly 3 phases: (1) pre-clinical research, (2) clinical studies, and (3) the new drug application review. In this work, we propose an artificial intelligence system which will shorten the time it takes for pharmaceutical companies to identify novel drugs (compounds) for a given target (usually a protein or a protein complex). Our proposed system will predict the interactions between compounds and targets based on their 3D structure, and will be based on a large-scale and publically available database (ChEMBL) which contains information on 11,019 targets and more than 1.5 million compounds. We expect that our “learning from examples” approach, compared to the more traditional approach of manual engineering, will allow our system to better “understand” the structure of compounds and targets, and therefore, better predict their interactions.

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Faculty Supervisor:

Christian Jacob

Student:

Rotem Golan

Partner:

eXDee Inc

Discipline:

Computer science

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Effectiveness of recycled glass as a wastewater effluent filtration media: A pilot-scale study

With increased emphasis on water quality in the Lake Winnipeg watershed, more stringent guidelines for wastewater effluents are being implemented. Smaller municipalities and remote communities, with limited financial resources, will be facing regulatory pressures, particularly around discharge of phosphorus, as well as micropollutants such as estrogens, pharmaceuticals and pesticides. To ensure the release of high quality wastewater effluents post-lagoon treatment technologies such as subsurface filtration systems are being employed for enhanced removal of pollutants. One such system has been constructed in pilot-scale at the Village of Dunnottar, MB near the shores of Lake Winnipeg. Recycled glass can be crushed to aggregate sizes similar to those used in gravel/rock filtration beds. It is unclear, however, if recycled glass will be comparable in its effectiveness to rock/gravel media for wastewater effluent treatment. The proposed study, comparing recycled glass to rock/gravel media over multiple lagoon discharge seasons, will facilitate the future use of recycled glass in new wastewater treatment applications. Manitoba Liquor and Lotteries is a strong supporter of the proposed work and sees great value in pursuing environmental end-use applications of recycled glass. The proposed research could provide a new market for recycled glass aggregate across Canada.

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Faculty Supervisor:

Nazim Cicek

Student:

Joe Ackerman

Partner:

Manitoba Liquor and Lotteries Corporation

Discipline:

Engineering

Sector:

Environmental industry

University:

Program:

Accelerate

Joint Recommendation and Inventory Management System

Using modern machine learning techniques and analytical tools, the intern will create a joint recommendation and inventory management system that will be able to automatically choose the ideal package for Chic Marie’s customers. This package will include curated clothes for each customer based on their tastes, buying history and any other data they wish to provide. These selections will then influence what merchandise Chic Marie will purchase from suppliers, ensuring an optimal level of inventory and efficiency from supplier all the way to the end user.

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Faculty Supervisor:

Jia Yuan Yu

Student:

Tyler Manning-Dahan

Partner:

Chic Marie Inc

Discipline:

Engineering

Sector:

University:

Program:

Accelerate

Approximations of Exotic Option Pricing Models

In order to properly manage the risks associated with trading complex financial products, CIBC carries out computationally expensive calculations to properly assess their exposure to various market factors. To make these computations more feasible, it is of interest to find new, efficient and approximate mathematical formulas to compute such exposures. It is also important to complement these new formulas with rigorous justification of the resulting approximation error. Such justification will provide confidence to practitioners at CIBC who will use these formulas in the future. By developing these methods, CIBC will be able to offer a wider variety of products to investors and as a result draw in new clients.

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Faculty Supervisor:

Sebastian Jaimungal

Student:

David Farahany

Partner:

CIBC

Discipline:

Statistics / Actuarial sciences

Sector:

University:

Program:

Accelerate

Validation of food allergen analytical methods and their incorporation in food process control practices – aiming for more predictable, risk-based quality management systems for processed foods

The planned research aims to validate food allergen and gluten testing tools, and their incorporation in novel quality-management systems used in food production. It will leverage existing methodologies developed by r-Biopharm Canada (r-BPC), over the past decade through its parent company. Beyond a contribution to the validation and enhanced application of these methods on various food matrices, the main innovation will consist in exploring the incorporation of these analytical tools in food control practices, such that they support novel risk-based and better “codified” quality management systems for allergens in processed foods, to be adopted by the food manufacturing sector. Efforts will target the initiation of enhanced codes of practice, where robust food allergen analytical tools can be incorporated to be applied in Canada and internationally. The project will enable a leading role in developing validation criteria for allergen methods under the auspices of the Association of Official Analytical Communities (AOAC): development of AOAC’s Standard Methods Performance Requirements or SMPR for allergens. It will then generate such validation data for rBPC methods. The project will enable to update relevant methods so that they adapt to the requirements of the SMPR with enhanced performance and be incorporated in Novel Quality Control approaches.

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Faculty Supervisor:

Samuel Godefroy

Student:

Virginie Barrère

Partner:

r-Biopharm Canada inc

Discipline:

Food science

Sector:

Agriculture

University:

Program:

Elevate

Proxy models for Thermal Production Optimization

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data driven models for optimizing bitumen production in SAGD reservoirs. These models will be developed using machine learning and data mining techniques to forecast the key performance indicators like steam to oil ratio, etc. Researchers will be working on a given data set to develop an effective model for forecasting, optimize the reservoir KPI, and improve statistical robustness.

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Faculty Supervisor:

Yuriy Zinchenko

Student:

Nancy Hernández-Cerón

Partner:

General Electric Canada Inc.

Discipline:

Mathematics

Sector:

Oil and gas

University:

Program:

Accelerate

Physiological assessment of cochlear and auditory nerve integrity in children suspected of auditory processing disorder

The American Speech-Language-Hearing Association (ASHA) recommends to include electrophysiological measures in their auditory processing disorder (APD) assessment battery. But few audiologist include electrophysiological assessment due to lack of evidence. There is strong evidence of auditory brainstem abnormality in these children. However, very less is understood about stimulus processing within the cochlea, auditory brainstem coding in noise (ipsilateral) and the thalmocortical functioning in APD children. As these evoked responses provide information regarding pre-neural processing, functioning of low spontaneous discharge rate (LSDR) fibers and upper-brainstem, respectively. With slight modification, these responses can be recorded using clinically available two-channel auditory evoked potential (AEP) system. In collaboration with Vivosonic. Inc, their existing AEP system will be improvised to record the electrocochleography, auditory brainstem responses in noise and the middle latency responses to a click and chirp stimulus. Evoked responses will be recorded from children sAPD, typically developing children and adults. The outcome of this project will provide novel information regarding the pre-neural and neural processing of acoustic stimuli in children sAPD. The collected data can be used in differential diagnosis of other auditory disorders such as auditory neuropathy.

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Faculty Supervisor:

Prudence Allen

Student:

Sangamanatha Ankmnal veeranna

Partner:

Western University

Discipline:

Medicine

Sector:

Medical devices

University:

Program:

Elevate

Precious metal mineralization at submarine volcanic centres: insight from the felsic centres of the Abitibi greenstone belt, Quebec, Canada

The proposed study will examine the volcanological, mineralogical and geochemical evolution of the felsic volcanic complex hosting Horne deposit in a comparative study with the surrounding felsic volcanic centres in the Rouyn-Noranda region of Quebec. Volcanic and intrusive facies, alteration phases and mineralization styles will be described for each centre. Mineralization will be further examined by analyzing trace element concentrations in sulfide and oxide phases to identify similarities and differences between all complexes. Through the course of determining these concentrations, a separation and identification of components from magmatic and hydrothermal contributions will be attempted. Field samples and drill core from the Krafla volcanic complex will be examined to compare trace element concentrations in sulfide and oxide phases in a modern hydrothermal system and an evaluation of fractures and pore spaces will be conducted to assess how these fluids flow through these spaces.

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Faculty Supervisor:

John Stix

Student:

Lyndsay Moore

Partner:

Falco Resources

Discipline:

Geography / Geology / Earth science

Sector:

Natural resources

University:

Program:

Accelerate

Modelling challenges in the fundamental review of the trading book

Upcoming changes to financial regulation and oversight are creating increased demands for the accurate measurement of financial market risks and the provisioning of adequate economic capital to ensure that financial institutions can withstand market shocks and extreme events. The objective of this research project is to study issues related to the theory, performance, and practical implementation of standards and requirements for measuring and managing market risk set out by the Basel Committee on Banking Supervision. The interns engaged in this project shall develop and implement new models and approaches that better allow the bank’s risk managers to assess and price the risks associated with assets in their trading book which may be illiquid or subject to default risk. Improved understanding and processes for managing market risks contributes to the stability of Canada’s financial system and the efficient allocation of the bank’s economic capital and human resources toward their most productive use.

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Faculty Supervisor:

Cody Hyndman

Student:

Anastasis Kratsios

Partner:

CIBC

Discipline:

Mathematics

Sector:

University:

Program:

Accelerate

Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of the art technology in classifying modes of transportation (e.g. walking, biking, driving) using the data from smartphone sensors such as GPS or accelerometer, and subsequently leverage this to provide a better behavioural analysis platform for academic research, particularly in public-health and social science domain.

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Faculty Supervisor:

Michael Horsch

Student:

Aydin Teyhouee

Partner:

Ethica Data Services Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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