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

Analytical Framework for Valuation of Commercial Leases

The objective of the project is to provide a foundation of an efficient commercial real estate market. This project first wants to derive the values of terms in commercial lease such that both landlord and tenants can have a better understanding on how each term can affect them and by how much. The second objective of the project is to introduce a new liquid real estate investment instrument to the market.

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Faculty Supervisor:

Dr. Andrey Feuerverger

Student:

Lee Chun King

Partner:

Real Risk Inc.

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

University of Toronto

Program:

Accelerate

Purchasing Power: An Investigation of the Ethical Consumer and Affinity Markets in Ontario

Sumac Workers’ Co-operative, a worker-owned co-op in Guelph, Ontario, has recently launched WearFair, a new wholesale brand of Fair Trade certified t-shirts. They are unique in that both the labour and the agricultural production is certified Fair Trade. The proposed research would be to conduct preliminary and follow-up interviews and a survey of potential customers within 1) current Fair Trade consumers, 2) consumers who are either employees of, or otherwise engaged with, affinity organizations and 3) with members of the general public who are currently not involved with Fair Trade. The purpose of this research is to determine the size and scope of the market, the types of consumers who are interested in expanding their range of Fair Trade purchases as well as to develop an understanding of how these consumers understand Fair Trade as an alternative to so-called regular trade. The expectation is that this research will fill gaps regarding the depth of awareness of consumers and how to engage them to become more involved with Fair Trade. It will also form the basis of Sumac’s future marketing strategy for the WearFair brand.

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Faculty Supervisor:

M. Darryl Reed

Student:

Jacqueline Solomon

Partner:

Sumac Workers' Co-op

Discipline:

Urban studies

Sector:

Manufacturing

University:

York University

Program:

Accelerate

Spatial Listening, Hearing Loss, and Hearing Aids

Normal listeners have a remarkable ability to localize sounds because the brain can analyze the slight differences between the sound waves arriving at the two ears. These different cues are less important when the listener knows where a talker is located, but they are extremely important when speech comes from an unexpected location, as often happens in everyday situations. During the proposed internship with Oticon, Canada and the Oticon Research Centre in Denmark, the intern will extend his doctoral research to find out how people with hearing loss can use these cues with no hearing aid and with hearing aids differing in the type of digital signal processing that is used to control the output of the hearing aids. Because hearing loss directly affects approximately 10% of all Canadians, and 30% of Canadians over the age of 60, there are many individuals who may potentially benefit from improved hearing technologies.

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Faculty Supervisor:

Dr. M. Kathleen Pichora-Fuller

Student:

Gurjit Singh

Partner:

Oticon Canada

Discipline:

Psychology

Sector:

Medical devices

University:

University of Toronto

Program:

Accelerate

Managing a New, Reduced Iron Steelmaking Process: Operations, Finance and the Risk of Patent Litigation

HATCH, an engineering consulting firm, owns the patent on a continuous steel processing technology that close-couples traditional steel processing with an innovative approach. Regression analysis will be conducted on a patent litigation data set to estimate the probability of patent litigation in the steel industry and forecast potential litigation costs. If the financial economics of the technology (determined by the group outside the scope of this proposed project) prove to be only tenuously positive, such a projected unexpected cost could conceivably turn a money-making technology into a net capital loss for HATCH. In short, the likelihood of litigation and its costs, though not trivial in calculation, must be considered by the company when determining the financial attractiveness of the CRISP technology. If large, litigation costs may lead HATCH to reassess is commercialization strategy. At the very least, the expected future value of these costs will need to be accounted for and budgeted accordingly.

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Faculty Supervisor:

Dr. Alberto Galasso

Student:

Michael Masson

Partner:

HATCH Ltd.

Discipline:

Business

Sector:

Legal

University:

University of Toronto

Program:

Accelerate

Keywords Detection in Handwritten Documents

The long-term aim of this project is to develop techniques and software for the processing of unconstrained handwritten documents. The short terms goals are 1) the enhancement, “de-noising” and removal of artifacts in degraded digital handwritten document images, 2) text-lines and words segmentation independent of scripts or symbols and 3) identification of a small set of keywords in handwritten document images for document classification, retrieval or other purposes.

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Faculty Supervisor:

Drs. T.D. Bui and C.Y. Suen

Student:

Mehdi Haji

Partner:

IMDS Software Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Information Extraction from Unstructured Data

Information extraction from unstructured data is a wide and relatively recent domain. For this research project, the focus will be on the information extraction from finance reports and news, more precisely related to the commodities market. This includes Natural Language Processing (NLP), expert systems (such as ontology-based systems) and information fusion as tools for analysing qualitative information in finance and producing investment decisions. NLP is a science studying the automated understanding of natural human languages. This study will investigate which NLP methods, and to what extent, we can use to extract the relevant information from financial literature.

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Faculty Supervisor:

Dr. Jiri Patera

Student:

Marie-Odette St-Hilaire

Partner:

OODA Technologies Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Université de Montréal

Program:

Accelerate

Implementation and Validation of Detached Eddy Simulation (DES)

This research aims to enhance an existing aerodynamic simulation tool to provide more accurate simulation data for turbulent flows with massive separation regions. This will be achieved by implementing the Detached-Eddy Simulation (DES) method. The existing turbulence prediction modules rely on simulation of the largest eddy in the fluid domain and modelling of all other eddies. In DES, a range of large to medium-scale eddies will be simulated, whereby the modelling will be limited only to the effect of smaller eddies. Since more physics will be captured in the numerical simulation, more accurate predictions will be obtained. In this research project, the existing turbulence models will be modified to incorporate the DES method.

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Faculty Supervisor:

Dr. Siva Nadarajah

Student:

Kaveh Mohamed

Partner:

Bombardier Aerospace

Discipline:

Engineering

Sector:

Aerospace and defense

University:

McGill University

Program:

Accelerate

Financial Risk Management

Risk management is a topic of great current importance to financial firms. In this project, the intern will undertake research with a small investment firm to develop more efficient risk management techniques. He will assemble a new database that is relevant to the firm’s existing and potential investment strategies. This database will be used to develop models of underlying risk factors, which will be used in the development of innovative risk management tools to assist the company with controlling its risk exposures. This process will involve valuable technology transfer from the academic arena to practical investment management and the intern will gain valuable experience in this implementation.

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Faculty Supervisor:

Dr. Don McLeish

Student:

Bassam Aoun

Partner:

Tirgarvill Capital

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

Evaluation of Catastrophic Risk System

Understanding the likelihood and trends in the occurrence and severity of natural disasters is an intricate part of insurance risk analytics. In today’s marketplace, the task of quantifying such risks is handled by vendors of catastrophe modeling tools. Due to proprietary, the vendors do not disclose the scientific and technical at sufficient detail for the users (insurance companies) to understand the modeling output thoroughly, such as sensitivity to assumptions, difference among different models, etc. The aim of the proposed research is to provide an independent evaluation on these systems. Relevant data will be collected and advanced actuarial and statistical tools will be used to accomplish this task. Gaining expertise in this area enables Validus to better understanding the risk taking position and hence making prudent business decision. This also increases the competitiveness of the company and is extremely important to a start-up company like Validus.

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Faculty Supervisor:

Dr. Tan Ken Seng

Student:

Xiaorong Zou

Partner:

Validus Research Inc.

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

Effects and Benefits of Discrete Cosine Transform on Polarimetric Decompositions: Application to Man-made Object Recognition

In this project, the intern will use a recently developed interpolation technique based on the Lie group theory to enhance the quality of the classification of Synthetic Apertur Radar images. He will evaluate the effects and discuss the benefits of this interpolation on the complete set of polarimetric features extracted from a fully polarimetric SAR image. The effects on the polarimetric features will impact the performance of target recognition algorithms applied to the detection of man-made ground targets. The recognition process will be achieved by using a neural network. These techniques will be applied on the MSTAR data set available online from the DARPA agency and made from a collection of a large variety of land-based targets under different poses relative to the SAR sensor.

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Faculty Supervisor:

Dr. Jiri Patera

Student:

Matthieu Voorons

Partner:

Lockheed Martin Canada

Discipline:

Mathematics

Sector:

Aerospace and defense

University:

Université de Montréal

Program:

Accelerate

Does reducing postural variability lead to an increase in the prevalence of work-related injuries in lean automotive assembly?

Many companies believe that the more efficient way of thinking “lean” will improve quality by eliminating waste, reducing lead time and reducing their overall costs. However, the benefits and downfalls of a lean process of manufacturing have been debated extensively. Many researchers have noted a positive improvement in productivity, quality, and efficiency which contribute positively to managers, supervisors and other white collared workers. However, some other researchers have noted negative impacts on the health of blue collared assembly workers. These negative consequences may be due to the lack of dynamic postures in lean manufacturing as lean attempts to limit excessive movements of workers and equipment. Although remaining in a neutral posture throughout the shift is thought to be advantageous for workers from a postural perspective, many still suffer discomfort and fatigue from musculoskeletal injuries from work. This study will hopefully find if the prolonged static postures observed in lean manufacturing are contributing to the increase in work related musculoskeletal injuries. This will benefit Pinnacle Rehabilitation by allowing the ergonomists to have valuable information which promotes either dynamic postures or sustained neutral postures throughout the day.

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Faculty Supervisor:

Dr. David Andrews

Student:

Tennille Harrison

Partner:

Pinnacle Rehabilitation

Discipline:

Kinesiology

Sector:

Automotive and transportation

University:

University of Windsor

Program:

Accelerate

A Semi-autonomous Injection System for Intracytoplasmic Sperm Injection

Intracytoplasmic sperm injection (ICSI) is an important procedure in reproductive technology to help couples with infertility problems. Presently, the ICSI procedure suffers from a long learning curve, low success rates and reproducibility, and inconsistency among technicians. In this project, a novel automated microinjection system for human ICSI will be developed. The system will integrate micro devices, computer vision algorithms, and microrobotic control techniques to rapidly immobilize multiple egg cells, automatically capture swimming sperms, and perform automated injection with a high degree of reproducibility and minimal human intervention. The system will dramatically increase the success rates and consistency of ICSI. The intern will develop technologies with the industrial partner, Marksman Cellject Inc. and quantitatively evaluate system performance at the Toronto Center for Advanced Reproductive Technology (TCART).

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Faculty Supervisor:

Dr. Jean Zu

Student:

Lu Zhe

Partner:

Marksman Cellject Inc.

Discipline:

Engineering - biomedical

Sector:

Life sciences

University:

University of Toronto

Program:

Accelerate

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