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

Effectively Communicating Triple Bottom Line: Investor Appetite for CSR at TransCanada

Triple bottom line is the nexus between the environmental, societal and financial performance of an organization. The corporate social responsibility (CSR) department of TransCanada is responsible for strategy & communication of information related to the environmental and social performance of the firm. This information is intended for use by a wide variety of stakeholders, including shareholders and potential investors, who are interested in understanding the context of non-financial performance in driving corporate profits. While research supports that at a societal level, shareholders are increasingly using this information to inform their investment decisions, firms are currently struggling with understanding the appetite and expectations of investors for communication at the company level. This research project aims to capture this information, through a survey of current retail and institutional investors at TransCanada and a broader characterization of the current interests and appetites of socially responsible, retail and institutional investors. A potential communication strategy will be developed to allow TransCanada’s investor relations and CSR teams to better communicate the business case for sustainability to potential and current shareholders.

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Faculty Supervisor:

Dr. Irene Herremans

Student:

Ariel Kangasniemi

Partner:

TransCanada Corporation

Discipline:

Business

Sector:

Oil and gas

University:

University of Calgary

Program:

Accelerate

Neural Network Model for Predicting NBA Shot Outcome

As the game of basketball evolved, analysis of the game has also grown from taking average of field goal percentage to more complex analytics. In the 2013-2014 season, the NBA has installed the SportVU Player Tracking technology in every NBA arena. SportVU collects 25 frames of data per second, each frame containing the (x,y) coordinates of each of the 10 players and the (x,y,z) coordinates of the basketball. The goal of this research is to understand how much better we can predict the outcome of shot given this massive amount of newly available information, and what the important factors are in contributing to a made shot. This understanding will assist the Toronto Raptors, and even the general basketball community, on many levels. For example, this could provide some guidance to players (shot location and time-of-game selection) and to coaches (which player/game situations tend to be most successful. The system could also help quantify the quality of performances of players by the shots that they took, instead of only looking at the outcome, which is inherently probabilistic.

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Faculty Supervisor:

Dr. Richard Zemel

Student:

Kuan-Chieh Wang

Partner:

Toronto Raptors

Discipline:

Computer science

Sector:

Sports and recreation

University:

University of Toronto

Program:

Accelerate

Alternator-based Energy Regeneration Utilizing a Wheel-Roller Mechanism

Friction control plays a major role in reducing wear, noise and vibration, and managing wheel/rail interaction on rail transit systems. Recognized as a global leader in rail industry, L.B. Foster has developed innovative lubrication technology for friction management at specific sections of a railroad track. The mobile dispensing system used for friction management requires an external power source to provide power to the unit. It would be ideal if the system can include a separate power generation unit that can obtain its power from a reliable source on the railcar. One such source is the kinetic energy of the train wheel, which can be captured through an appropriate energy conversion mechanism. The objective of the proposed collaborative effort is to develop an alternator-based generation unit for the mobile dispensing system to be mounted on a railcar. In the proposed R&D activity, the SFU-LB Foster collaboration will concentrate on development of power control circuitry and its testing on a proof-of-concept testbed at LB Foster facility in Burnaby, BC.

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Faculty Supervisor:

Dr. Mehrdad Moallem

Student:

Yaser Roshan

Partner:

L.B. Foster Rail Technologies

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

Simon Fraser University

Program:

Accelerate

Green Marine Engine Exhaust Membrane Scrubber Technology for Removal of CAC and GHGs

Ionada has developed a patented marine exhaust gas cleaning system utilizing the latest in membrane technologies to provide the marine industry with a simple solution to save money and satisfy new International Marine Organizations (IMO) emission requirements. The intern will implement (install/retrofit/integrate) Ionada’s product onto existing ships with the aim of improving and optimizing the ship’s exhaust system. In order to install this new marine exhaust gas cleaning system on ships, an intern is needed to do structural design of marine retrofitting for a scrubber system on the ships and study the current configurations and specifications of the ships in order to develop a retrofit solution for the scrubber.

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Faculty Supervisor:

Dr. Jon Mikkelsen

Student:

Yizhou Yang

Partner:

Ionada

Discipline:

Engineering - mechanical

Sector:

Oil and gas

University:

University of British Columbia

Program:

Accelerate

Feature Selection From Traffic Analysis For Computer Network Backdoor Detection

Attacks on computer networks happen every day, but many go undetected. Not all attacks succeed, but the ones that do often leave so called “back doors” behind that allow the attackers to easily gain access back into the computer network without having to attack it further. This project focuses on the use of mathematics and statistics to determine what features of network traffic (the data flowing on the wire between a computer network and the rest of the internet) can be used to determine if an unauthorized back door is present in a computer network. Determining these features is essential to being able to detect the presence of a back door, because the methods that are in place to do so require knowledge of what to look for before they can find it. TRTech, an industry R+D consortium, is sponsoring this project. The results will also be used to further improve the detection capabilities of Seccuris's (Canada's leading information assurance provider, and member of TRTech) network monitoring service.

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Faculty Supervisor:

Dr. Bob McLeod

Student:

Jason Haydaman

Partner:

Seccuris Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Manitoba

Program:

Accelerate

Word Representation Learning for Detecting Malicious Chat Messages

Communicating with peers online is an increasingly popular activity for children and teenagers, which has led to growing concerns about bullying and other forms of malicious behaviour in online chat rooms and virtual worlds. Although some online forums are patrolled by human moderators, the amount of text being generated is typically too large even for a dedicated team of humans to process. This research project will adapt machine learning techniques for the task of automatically detecting and filtering malicious messages in online chat rooms and virtual worlds. The partner organization, Two Hat Security, provides custom chat filtering as a web service, with the goal of keeping kids safe online. The expected benefits of this internship to Two Hat Security are an improvement in the accuracy of its chat filtering system, as well as more efficient and effective customization of filters for the different virtual worlds that it monitors on behalf of its clients.

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Faculty Supervisor:

Dr. Dale Schuurmans

Student:

Kenneth Dwyer

Partner:

Two Hat Security Research Corp.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Alberta

Program:

Accelerate

Development of Cost-Effective Solutions for Energy Management in Smart Buildings

The proposed research aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis will be put on consumer side energy management strategies that able to balance energy demand and supply and to reduce the overall operational cost while providing an enhanced performance. The envisaged solutions lie mainly on autonomous demand response management in smart buildings including peak shaving, consumption scheduling, and load forecasting. The achievements of the present project will allow the industrial partner, Fusion Energy Inc., to enhance their solutions for energy management through optimization of mechanical and electrical equipment, automation, and real-time energy consumption control.

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Faculty Supervisor:

Guchuan Zhu

Student:

Waselul Haque Sadid

Partner:

Fusion Énergie Inc.

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Polytechnique Montréal

Program:

Accelerate

Baseline and best-practice analyses to determine environmental and energy targets

The province of Nova Scotia is currently pursuing the goal of being the most environmentally and economically sustainable province in Canada. The Nova Scotia Liquor Corporation (NSLC) is a major retailer in the province and, with the help of the branding agency Revolve, the NSLC would like to echo the provincial goals within its own corporate mandate. Environmental objectives are best addressed through comprehensive CSR strategies; this research project will establish the environmental targets and the associated management plan to be incorporated into the company’s CSR strategy. The applicant will use primary data to assess the company’s historical (from 2008 onwards) performance regarding previous environmental targets set by the company, while a literature review and analysis of similar companies will be used to determine new environmental goals. An implementation plan regarding how to best attain these goals will also be developed, thus allowing the NSLC to become a leader in corporate social responsibility in the province.

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Faculty Supervisor:

Dr. Michelle Adams

Student:

Liane Sandula

Partner:

Nova Scotia Liquor Corporation

Discipline:

Resources and environmental management

Sector:

Consumer goods

University:

Dalhousie University

Program:

Accelerate

Flow Optimization for Disaster Recovery in Software-Defined Networks

The concept of Software-Defined Networking (SDN) has recently gained significant attention as a practical and flexible way to create programmable networks, where new network services can be deployed or dynamically adjusted with ease. One application of this concept could be in enhancing the reliability and survivability of backbone communication networks. The main objective of this project is to develop methods to enhance the performance of preventive survivability techniques in SDN networks, in particular by designing optimal techniques to reduce the number of network control operations at the time of a large scale network failure. The proposed project would help Ericsson offer innovative network protection methods that could minimize disruption time and optimize operations in SDN failure scenarios. The algorithms developed in this project can be implemented and deployed directly on backbone SDN controllers, and would allow Ericsson to plan highly robust and efficient backhaul networks that could provide minimum service disruptions in face of large scale failures.

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Faculty Supervisor:

Dr. Shahram Shah Heydari

Student:

Alireza Izaddoost & TBD

Partner:

Ericsson Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Ontario Tech University

Program:

Accelerate

Economic Capital Modeling by Using Copulas

Sun Life Financial is carrying out its ERM and ORSA analysis. The company seeks to develop sophisticated and mathematically sound internal models that would serve as company's own risk measurement tools for EC evaluations, provide continuing insights into the appropriate risk management routes, as well as be a benchmark against the RC required by the OSFI. The intern will concentrate on: 1.) looking at the families of probability distributions, that would describe its various risks sufficiently well, 2.) modeling the dependence structure amongst the aforementioned distributions in a way, that would be close to the one imposed by nature. The project will assist Sun Life Financial to build, implement and validate a quantitatively sophisticated state-of-the-art model of its risk portfolio. This will result in a better quantitative and qualitative understanding of company's risk profile, and thus in a more precise EC calculation as well as in a more effective risk management decision making process.

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Faculty Supervisor:

Dr. Edward Furman

Student:

Jianxi Su

Partner:

Sun Life Financial

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

York University

Program:

Accelerate

Redesign of Dental Preventive Formulations- Part I. Identification of Potential Remineralization Enhancers

Every day, people put their teeth at risk by eating foods that contain a lot of sugar. A lack of brushing teeth causes the build-up of bacteria. The bacteria use the sugars present in these foods to cause the weakening of teeth and if left untreated, can lead to holes and cavities in teeth. The concept of “re-mineralization” is the idea of using minerals such as calcium to make teeth stronger and have them heal faster. The goal of this project is to make the process of “re-mineralization” stronger and faster so that patients can benefit from the repair of the damage caused by food and bacteria. The partnered company, Medicom, is expected to be able to benefit from this project from the development of a new product formulation.

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Faculty Supervisor:

Bertrand Jean-Claude

Student:

Elliot Goodfellow

Partner:

Medicom

Discipline:

Medicine

Sector:

Medical devices

University:

McGill University

Program:

Accelerate

Work order Scheduling at maintenance Sites for Commercial Aircraft Fleet

The effective planning of resources when scheduling maintenance tasks and repair jobs is an enormous challenge, especially for heavy industries such as aerospace and transportation manufacturers. In such industries, because of the product complexity and variety, not to mention continuous technological improvements, a broad range of maintenance tasks and high-performance services should be done over the course of a year to guarantee the safety and reliability of the products. The main contribution of the project is to address an important gap in the current theoretical methodologies and market software packages: the lack of an integrated tool to manage the resources in a maintenance site of the commercial aircraft fleets.

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Faculty Supervisor:

Dr. Andrew Jardine

Student:

Alireza Rahimi Vahed

Partner:

Bombardier Aerospace

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

University of Toronto

Program:

Accelerate

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