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

Development of new approaches to promote proliferation of insulin producing pancreatic ?-cells in diabetic patients

Reduced number of insulin producing ?-cells in pancreas due to increased ?-cell death is a key defect in diabetes that eventually leads to elevated blood glucose levels and life-time treatment with glucose lowering drugs or daily insulin injections. Thus, finding therapeutic approaches to prevent the decrease in the number of insulin producing ?-cells in diabetic patients either by reducing ?-cell death or by increasing their proliferation is of great importance. In this study, we will use transformed and primary islet ?-cells, to investigate the effects of five purified natural products (to be provided by Blue-O Medicals Inc.) on ?-cell proliferation, function, and death. The findings of this study may lead to development of new therapeutic approaches to maintain enough number of ?-cells in diabetic patients to keep blood glucose within normal range thereby prevent progression of diabetes.

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Faculty Supervisor:

Lucy Marzban

Student:

Queenie Hui

Partner:

Blue-O Technology Inc.

Discipline:

Medicine

Sector:

Life sciences

University:

Program:

Accelerate

Using Visual Analytics to Support the Analysis of Environment Risk Indicators for Cancer

Visual analytics (VA) potentially has a great range of applications within healthcare. CAREX and Engage Data will investigate, with the intern, the uses of VA for data analysis and visualization to support real-world carcinogen-related explorations related to the use of the eRISK Online web-based tool developed by CAREX. Engage Data is specifically interested in understanding how the deployment of VA can be used to achieve a better understanding of on-line health informatics. The project involves modifying the eRISK tool based on identified user needs and problems in order to achieve a better understanding of the visualization of carcinogen-related health informatics, provide
valuable insights about the carcinogen-related needs of eRISK users, and facilitate interactive collaborations among Engage Data, CAREX and eRISK users.

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Faculty Supervisor:

Christopher Carlsten

Student:

Mandy Pui

Partner:

CAREX Canada

Discipline:

Medicine

Sector:

Environmental industry

University:

Program:

Accelerate

Development of a organic infant food line using High Pressure Processing technology

Health Canada recommends that at six months of age, babies start consuming nutritious ironrich foods such as meat. These foods must be adequately prepared in order to be safe for consumption. However, preparation of homemade food is not always possible. This project aims to develop a line of baby food using high pressure processing (HPP), a novel technology that preserves nutrients but reduces microbes in food. According to Health Canada recommendations, nutritious ingredients will be selected and combined to reach six to eight formulations; the impact of HPP on the content of selected vitamins and on taste, odor, colour, consistency, pH and lipid degradation will be evaluated in featured formulations; the nutritional composition will be determined; and the amount of microbes will be measured. The expected result is the development of a food line that is nutritious and safe, thus appealing for consumers, and economically viable for the partner organization.

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Faculty Supervisor:

James Friel

Student:

Maria Cristina Ribeiro Morales

Partner:

Speakeasy Hospitality Group

Discipline:

Food science

Sector:

Consumer goods

University:

University of Manitoba

Program:

Accelerate

Production of Renewable Drop-In Fuel from Syngas Derived from an Ethanol Industry

The fuel-grade ethanol obtained from corn-based feedstocks, utilizes about 33% of the total carbon present in corn based feedstocks. The remaining fraction is converted into dry distillers’ grains (DDG) and carbon dioxide, which is then converted to syngas (CO+H2). In this research the syngas from ethanol plant will be converted to transportation fuel and derived chemicals using our patented Fischer- Tropsch (FTS) catalyst. The catalysts will be pelletized and tested in 5 cc micro-reactor. The process parameters such as, temperature, pressure will be evaluated to obtain optimal yields. The catalyst will be tested and optimized in a pilot scale with 100 cc catalyst in a reactor. The data generated will be utilized to design a facility to produce 7 bbl/day FTS liquid fuel and then the industrial scale plant. The project will be beneficial to partners by way of technology commercialization.

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Faculty Supervisor:

Ajay Dalai

Student:

Vahid Vosoughi

Partner:

EAJV Technology Inc.

Discipline:

Engineering - chemical / biological

Sector:

Oil and gas

University:

University of Saskatchewan

Program:

Accelerate

The Effects of Changing Sound Regimes in the Natural Environment on Marine Mammals in the Arctic: A Decision Support Tool

Marine Mammals depend on sound for survival, whether for communicating with each other or for hunting for food. Human produced (Anthropogenic) sound such as from shipping, military SONAR, coastal development and oil and gas exploration, development and extraction, can all interrupt and disturb marine mammals. As sea ice begins to melt sooner and for longer due to climate change, the Arctic has become more accessible and therefore become targeted by industry for development and expansion. Nunavut, and many other Polar Regions whose waters have remained relatively pristine until recently are all struggling with how to best manage this development and anthropogenic sound, to reduce the negative impacts on marine mammals. This project aims to produce a document that summarizes all relevant research comprehensively, and makes policy recommendations based off of a comparative policy analysis.

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Faculty Supervisor:

Claudio Aporta

Student:

Helen McConnell

Partner:

Discipline:

Geography / Geology / Earth science

Sector:

Automotive and transportation

University:

Dalhousie University

Program:

Accelerate

Adaptive FOREX Geocoding System for Currency Market Monitoring

Foreign exchange market, also known as Forex is a currency trading market spread all around the globe. There are multiple factors that effect the exchange rates in currency market. Considering these factors in development of a trading algorithm will result in more accurate trading decisions. The proposed research that will be covered by the activities of the intern will thus include the development of a model which has flexibility in dealing with multiple attributes in real time for foreign exchange. The new and improved model which will take into an account the geospatial location of the news and the temporal spatial correspondence between the news and the cities of their origin will be developed. Investigating the relationship between geospatial news location and currency markets using newly developed machine intelligence algorithms is at the core of the proposed internship. The novel methodology will be based on building a highdimensional weighted autocorrelation model between real-time news and their spatio-temporal geographic locations. This would require development of sophisticated methods in the areas of data mining, geocoding and spatio-temporal pattern matching.

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Faculty Supervisor:

Marina Gavrilova

Student:

Hossein Talebi

Partner:

Winsor Global Financial Inc.

Discipline:

Computer science

Sector:

University:

University of Calgary

Program:

Accelerate

A Condition Based Monitoring Pilot for the Baggage Handling System at the Pearson International Airport

Maintenance of baggage handling equipment, passenger boarding bridges and aircraft support equipment currently costs the Pearson International Airport (PIA) $10M annually. Much of this cost is associated with routine inspections, replacing drives, lifts and similar industrial process equipment. Current maintenance undertaken by PIA is reactive; replacing or repairing parts on the equipment after break-down. This is an expensive process. In this proposal, the intern will implement a condition based maintenance pilot on the baggage handling system (BHS) at PIA. An online vibration monitoring system will be implemented to collect vibration data from the BHS and this data will be interrogated to provide valuable information regarding their state in addition to the event data. This condition information will be combined to calculate the reliability of the unit as a function of its current condition and age, through a proportional hazard model and will be used for inspection planning.

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Faculty Supervisor:

Sriram Narasimhan

Student:

Ali Ashasi Sorkhabi

Partner:

Greater Toronto Airports Authority

Discipline:

Engineering - civil

Sector:

Aerospace and defense

University:

University of Waterloo

Program:

Accelerate

Modeling of Current Collapse and Gate Leakage Phenomena in AlGaN/GaN HEMTs

AlGaN/GaN high electron mobility transistors (HEMTs) have emerged as promising candidates for high breakdown, high power output, and high operating temperature applications. However, there are several problems that hinder its practical use such as current collapse and high gate leakage current. Most of available studies use analytical formulas and only analyze a certain aspect. Physical models that can predict both phenomena consistently and describe a larger picture of device behavior are still lacking, which will be addressed in this work. This capability is important in the HEMT structure design, and will make APSYSTM a more competitive tool in the market.

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Faculty Supervisor:

Guangrui Xia

Student:

Feiyang Cai

Partner:

Crosslight Software

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

Recognition of Vehicles in Satellite Views

The intern shall endeavour to develop a vehicle detection system for aerial satellite views with a reasonable accuracy and a reasonable execution time for a small urban area of 100 sq. km. The intern first will train, test, and evaluate a machine learning engine to automatically recognized the vehicles of interest in aerial satellite imagery. The sponsoring organization, LTAS Technologies will have an engine and a process that can be repeated for each state in the USA. It could then provide the service to its customers which can also benefit by collecting taxes due on those vehicles.

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Faculty Supervisor:

Sven Dickinson

Student:

Tom Lee

Partner:

LTAS Technologies

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Housing reconstruction cost model

This project is designed to analyze a list of insurance policies and past claims, and to determine which variables have had a significant influence on the cost of house reconstruction in the case of insurance claims. It is also planned to use a hedonic pricing model to include, where appropriate, the influence of location variables, neighborhood characteristics, and housing characteristics on the cost of house reconstruction. On the basis of an appropriate selection of variables related to insured properties and an appropriate pricing model, a calculator of housing reconstruction costs can be implemented and used by TDI for the prediction ofhouse reconstruction costs.

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Faculty Supervisor:

Marcel-Cristian Voia

Student:

Thi Hong Thinh Doan

Partner:

TD Assurance

Discipline:

Economics

Sector:

University:

Carleton University

Program:

Accelerate

Prediction and optimal strategies in equity algorithmic trading

Trading is increasingly moving from the human world to its electronic counterpart. In this new environment the effects need to be properly understood and analyzed. Most recently the Canadian market as other developed capital markets has experienced a reduction in direct trading costs for investors but at the cost of an increase in indirect trading costs, price variability. This affects everyone either directly, such as the Royal Bank of Canada’s Capital Markets department, but also indirectly through its clients, from institutional investors and fund managers to each individual investor that buys into their funds for their financial and retirement planning. Quantitative methods can be effectively leveraged to help institutions glean the most information out of increasingly higher-frequency price information which will provide a better understanding of this new market environment. The research in this proposal aims to deploy advanced optimization models that incorporate the existing uncertainty in asset prices and artificial intelligence techniques to perform this analysis. The aim is to help the Royal Bank of Canada navigate the trading environment better and at a lower cost to its clients.

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Faculty Supervisor:

Roy Kwon

Student:

Razvan Gabriel Oprisor

Partner:

RBC Financial Group

Discipline:

Engineering - mechanical

Sector:

University:

University of Toronto

Program:

Accelerate

Exposure at Default methodology enhancement and credit portfolio optimization

A fundamental activity of a commercial bank is the lending of capital through various credit instruments such as direct loans to consumers, mortgages, and lines of credit. Efficient lending is at the core of a well functioning economy. The risk in lending is commonly referred to as credit risk and represents the risk of loss due to a borrower’s failure to make payments on debt. It is crucial for a bank to be able to estimate risk of loss from loans as large unexpected losses can result in insolvency or increased costs of borrowing for the public. The research in this proposal aims to estimate some key components of expected loss from retail credit instruments with revolving exposure. In particular, methods to estimate exposure at default (EAD) will be developed and used for credit portfolio management. As our partner organization Bank of Montreal (BMO) offers a significant line of retail credit products the research from this internship would be greatly beneficial for BMO

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Faculty Supervisor:

Roy Kwon

Student:

Sarthak Garg

Partner:

Bank of Montreal

Discipline:

Engineering - mechanical

Sector:

University:

University of Toronto

Program:

Accelerate

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