Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Performance Degradation and Failure Detection Methods for Optical Networks Based on Machine Learning

Large network operators have to deal with dynamic network service changes, including scheduled or unscheduled outages, while keeping efficient service levels with different requirements. Currently available restoration techniques remain limited to after the fact detection of hard or catastrophic failures when the service has already been impacted. Machine learning technologies have been explored as a potential solution to enable proactive fault management and performance prediction. This project will develop innovative machine learning methods in the context of optical networks, which will allow accurate prediction ahead of time for proactive fault management and maintenance, before actual degradation and failure occur.

View Full Project Description
Faculty Supervisor:

Christine Tremblay;Christian Desrosiers

Student:

Partner:

Ciena Canada (Saint-Laurent, QC);TELUS Communications

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Non-invasive automated assessment of tonic attention (vigilance) of commercial airline pilots during simulated flights

With the goal of increasing the safety of civilian air flight, the detection of a decrease in pilot attention is becoming an important need in civilian aeronautics. Multiple models used for the detection of hypovigilant states have been developed over the years in experimental conditions, but barriers still exist limiting current use. First, some of these models require the execution of behavioral tasks that can disrupt pilot workflow. .Second, other models relying on the use of physiological monitoring devices are still too cumbersome. The main objective of this project is to review all of the scientific publications about hypovigilance detection models so that future functional models can integrate the best evidence available. Although the main domain of application is aeronautics, other domains would also benefit from such technologies such as ground transportation and medical care.

View Full Project Description
Faculty Supervisor:

Patrick Archambault

Student:

Partner:

Thales Canada Inc (Montreal, QC)

Discipline:

Life Sciences

Sector:

Aerospace; Life Sciences (not health); Technology

University:

Université Laval

Program:

Accelerate

Vibration-Based Health Monitoring of Critical Airport Facilities

The basic objective of the proposed research is to undertake diagnostic assessment of

critical airport systems, specifically the baggage handling system, passenger boarding

tunnels and pedestrian bridges using vibration measurements. The underlying premise is that

the overall health of these systems is manifested in their vibration measurements. By

undertaking such an interrogation, it will be possible to predict their failure ahead of time and

to plan replacements without unplanned outages. The industry partner, GTAA will benefit by

reducing their overall maintenance costs and stay competitive with airports such Chicago and

New York, using such a system. More importantly, they can optimize their inspection on

these systems so that there are no sudden and costly breakdowns.

View Full Project Description
Faculty Supervisor:

Sriram Narasimhan

Student:

Partner:

Greater Toronto Airports Authority

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Transportation and warehousing

University:

University of Waterloo

Program:

Accelerate

Cosmic radiation In-flight Measurement and real-time analysis for Electronic Systems and passenger protection (CIMES) – Part 2

The main objective of this internship is to build a software tool, which will be incorporated on board a test aircraft, in order to indicate to the pilot areas where the cosmic radiation intensity and energy could affect the immunity of electronic modules installed onboard aircraft.
For analysis and design purposes, the measurement system inside the airplane is modeled in the cosmic radiations’ environment by using a specialized software, to determinate the theoretical light pulses number for all

View Full Project Description
Faculty Supervisor:

Adam Skorek

Student:

Partner:

Bombardier Inc

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Quantum dots labelling technology to assess polysaccharides disposition profile and innate immune function

In the past decade, sales of several natural health products (NHPs), including Canadian grown American ginseng, have seen an unprecedented spike due to their wide health benefits. One of the key bioactive constituents in ginseng is polysaccharide(s) (PS) known to significantly boost the immune system by modulating a host of immune cells. Unfortunately, there is no specific analytical tools at present to elucidate their disposition and pharmacology. We have been successful in synthesizing and characterizing Ginseng-PS conjugated to carbon dot. This proposal will focus on extending our study to the Ginseng-PS, lipopolysaccharides (LPS), and non-pathogenic bacteria with silicon quantum (Si QDs). The labelled G-PS will provide more understanding of their disposition in biological system as well as their interaction with therapeutic targets. This will enable the refinement of design of novel polysaccharide-based immunomodulation nutraceuticals, such as PS nanoparticles, and provide scientific and clinically relevant evidence to support their health claims.

View Full Project Description
Faculty Supervisor:

Baoling Chen

Student:

Partner:

Western Phytoceutica Inc (ON)

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Lambton College

Program:

Accelerate

Advanced Applied Probabilistic Programming

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly AI-complete, the challenge of autonomous driving in urban and unstructured environments is substantial, as-yet unsolved, and of paramount economic importance. This research is relating to the most significant challenges remaining to be solved before it becomes possible to make unrestricted autonomous cars a reality. In particular, this research will focus on theory of mind, inference of driver, pedestrian, and cyclist intent, and robust, computationally efficient solutions to these and other inference problems. The aim of this research will be to build the probabilistic programming software systems and tools that will make it possible to efficiently build models that predict what the various agents near and on the roadway will do up to two to three seconds into the future, or at least long enough to allow for contingencies that ensure that the controlled vehicle behaves safely.

View Full Project Description
Faculty Supervisor:

Ronald Garcia;Frank Wood

Student:

Partner:

Inverted AI

Discipline:

Computer science

Sector:

Advanced Manufacturing; Technology; Automotive

University:

The University of British Columbia

Program:

Accelerate

Water-based binders for the 3D printing and sintering of metals

Rapidia has developed a water-based approach to metal 3D printing that is faster, simpler, and more cost effective than the current systems on the market. This novel approach enables printed parts to be sintered directly, eliminating the time- and chemically- intensive intermediate de-binding step required for other processes. In order to implement this technique, the formulation of the initial paste used for printing is an essential component to optimize. We will be studying how the chemical composition of the paste formulation impacts its performance in the printing and sintering steps, with the ultimate goal of developing advanced formulations to optimize the quality of the final metal parts. This research project could significantly advance Rapidia’s technology, accelerate their growth in the industry, and stimulate the Canadian economy.

View Full Project Description
Faculty Supervisor:

Mark MacLachlan

Student:

Partner:

Rapidia Tech Inc

Discipline:

Physics

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Development of Technologies for Treatment and Management of OTSG and Evaporator Blowdown Wastes from Oil Sands Operations

The steam assisted gravity drainage (SAGD) is the most commonly employed process for extraction of oil or bitumen from oil sands reservoirs. This process involves injection of large quantity of steam into the oil reservoir. The injected steam is further recovered as produced water which constitutes high concentrations of hydrocarbons and mineral salts. Due to the large requirement of water for oil sands processing, the produced water is recycled for the production of steam to reduce fresh water intake. Continuous recycling of produced water leads to accumulation of inorganic salts and minerals and organics constituting production chemicals, natural soil organics and hydrocarbons. Of these contaminants, presence of high concentration of silica and its interaction with organics leads to numerous operational challenges in boilers and evaporators. Removal of silica from the produced water is also challenging due unreliable performance of silica removal processes practiced in the industry due to the complex interactions of silica with other constituents. This project will focus on improving the performance of silica removal process by enhancing the scientific understanding of the process.

View Full Project Description
Faculty Supervisor:

Gopal Achari;Anil K Mehrotra;Sathish Ponnurangam

Student:

Partner:

Canada’s Oil Sands Innovation Alliance

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Contextually appropriate content to support understanding unfamiliar word(s)

The broad objective is to develop (or investigate the feasibility of developing) a

prototype software module that can be used in one or more of goQ (Quillsoft Ltd .)

software products for when a user initiates a word or phrasal lookup within some text.

During reading or writing , the module provides contextually appropriate content that

supports the user in understanding the unfamiliar word or phrase. The module may

provide one or more of the following : a definition, usage examples, andlor synonym(s)

for a search word or phrase. The application of this technology is to assist individuals

with a broad range of reading and writing difficulties, such as those individuals who

have learning disabilities, those individuals who are second language learners, and

those individuals who are emergent readers.

View Full Project Description
Faculty Supervisor:

Graeme Hirst

Student:

Partner:

Quillsoft

Discipline:

Computer science

Sector:

Education; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Les effets de la Dexmedetomidine IV sur la variabilité du rythme cardiaque chez les nouveau-nés admis en soins intensifs pédiatriques.

La prescription de médicaments en pédiatrie et particulièrement en néonatologie est un versant délicat de la pratique quotidienne. En effet, les données sur la sécurité d’emploi et les effets de nombreux traitements utilisés chez le nouveau-né demeurent insuffisantes. Dû à l’absence d’alternative thérapeutique, la plupart des molécules sont utilisées en dehors de leur recommandation officielle devant l’absence de d’étude sérieuses sur leur utilisation en néonatologie. Les études en pharmacologie clinique sont donc très importantes à mener pour pallier ce manque de données.

Mon projet de recherche au CHU Sainte Justine s’intéresse à une alternative sédative récente et au mode d’action différent et original : la dexmedetomidine. L’objectif de cette étude est donc d’analyser son utilisation et ses effets chez le nouveau-né et ainsi de guider la prescription dans cette population, si particulière. Ses principaux effets secondaires connues sont liés à son effet sur le rythme cardiaque pouvant induire des bradycardies sévères. Celles-ci pourraient s’avérer particulièrement symptomatiques chez le nouveau-né qui est davantage dépendant de sa fréquence cardiaque pour maintenir son débit cardiaque par rapport à l’adulte ou l’enfant plus âgé.

View Full Project Description
Faculty Supervisor:

Philippe Jouvet

Student:

Partner:

Université Catholique de Lille

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

Development of Superoleophilic Coating for High-Efficiency Oil and Water Separation

Oil/water separation is one of the most challenging processes in oil production processes. Materials with superoleophilicity can selectively filter or absorb oil from oil/water mixtures. These materials can be highly efficient with a minimum footprint in the selective separation of oil and water. They can also be designed to be integrated with many conventional oil/water separation processes/equipment, for instant, the boost of separation efficiency. In this project, a surface modification technology will be developed for metal mesh for the fabrication of superoleophilic functional materials; multiple coating and surface modification techniques will be tested and optimized; separation efficiency and durability will be examined under various operational settings; the prototype mesh will be coupled with commercially available screens, and its performance will be comprehensively examined. More developments will be carried out that will focus on process design and cost analysis. Multiple solutions will be designed and investigated to reduce water accumulation. The proposed technique is a highly feasible, economical solution for downhole oil/water separation. It will be design to be compatible with in-situ mechanical conditions, and can be easily integrated with many conventional oil/water separation process/equipment for an instant boost of separation efficiency.

View Full Project Description
Faculty Supervisor:

Gordon Huang

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Do existing lending products of credit unions meet the financing needs of co-operatives – The case of Libro Credit Union and Ontario’s Co-operative Sector

Credit unions and co-operatives share a common identity and foundational values as organizations that meet the economic, social, and cultural needs of their member-owners. A perennial concern for the credit union and co-operative sectors has been the need to identify opportunities for collaboration to advance the prominence of member-owned models. This research surveys and interviews co-operatives in Southwestern Ontario to understand their financing needs, and to identify why existing financial products do not meet these needs. The researchers will facilitate a focus group with Libro Credit Union staff to reflect on the survey and interview findings with the goal of identifying opportunities for new lending products that meet the needs of both credit unions and co-operat

View Full Project Description
Faculty Supervisor:

Sean Geobey

Student:

Partner:

Libro Credit Union

Discipline:

Business

Sector:

Finance and Insurance

University:

University of Waterloo

Program:

Accelerate