Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Whales from Space: Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery

Ship strikes and fishing gear entanglement in particular have put right whales at risk of extinction with approximately 400 of this species remaining. Monitoring the remaining whale requires reliable detection of whales over large spatial scales. Traditionally, whale population size and distribution are estimated using trained experts on survey boats and planes. This project will develop an automated methods to visually detect endangered North Atlantic right whales from aerial and satellite imagery. The outcome of this project will allow for improved identification of whale location, improving the information available to ocean transportation by more easily identifying the location of right whales and allowing shipping companies and government partners to make more informed decisions about shipping lanes, vessel speed, and other movement criteria that may impact the reliability of shipping logistics with balancing the safety of the whales.

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Faculty Supervisor:

Sageev Oore;Boris Worm

Student:

Partner:

Global Spatial Technology Solutions Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Dynamics and Stability of a Crosswind Kite Power System

The proposed project aims to develop some novel mathematical tools to ensure the safe design and operation of crosswind kite power systems (CKPS). CKPS are part of an emerging wind energy technology, which harness from naturally strong steady winds at high altitudes, where the airborne energy harvesting device is kept aloft using very light tethers. The tools developed during this project will particularly be indispensable in ensuring the safety of the base station where the mechanical power from the flying kite is converted to electricity. This will be instrumental to the development of a novel hydraulic-based drive-train system and thus to the eventual economic success of the industrial partner.

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Faculty Supervisor:

Mojtaba Kheiri

Student:

Partner:

New Leaf Management Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Concordia University

Program:

Accelerate

Dynamic Modeling of Hydrate Formation and Dissociation in the Presence of Thermodynamic and Kinetic Hydrate Inhibitors

This project supports a joint industry project (JIP) involving operator companies active in offshore Newfoundland and Labrador. The JIP is supported through a contract with Petroleum Research NL (PRNL). The project aims to remove obstacle to cost effective developments from marginal oil fields in Atlantic Canada. This will be through developing strategies and techniques to manage the formation of solid like natural gas hydrate in subsea production systems. The MITACS support will be used to hire a Postdoctoral fellow (PDF) to support the activities envisaged in the main JIP project. The PDF will be supporting computational modelling and design and operations of tests systems at C-CORE and Memorial University (MUN) Hibernia EOR facilities.

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Faculty Supervisor:

Sohrab Zendehboudi

Student:

Partner:

M.A. Procense Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Advanced AI for Demand Forecast in Fashion and Apparel Retailing

The ultimate objective of the project is to develop an AI-based framework addressing the forecasting needs of a typical fashion and apparel retailer. The project activities involve development of models predicting demand for particular fashion and apparel items in the context of different customer groups, as well as techniques for identifying fashion trends. The developed methods and algorithms will be able to handle uncertainty, as well as imperfection and missing information. Graph-based formats for representing relevant information will be explored. The project will demonstrate applicability of AI methods to solve real-world challenges.

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Faculty Supervisor:

Marek Reformat;Petr Musilek

Student:

Partner:

FIND Innovation Labs Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

BIM-based Seismic Performance Assessment of Buildings for Post-Earthquake Rehabilitation

As many of the existing buildings are reaching almost the end of their actual design life, new buildings are replacing them with more innovative and complicated technologies. At the same time, there are concerns and uncertainties about probabilistic structural failures and undesired structural system behaviors. The performance of these building under loads such as earthquakes and other natural disasters are of great interest. Therefore, seismic damage assessment of buildings for post-earthquake rehabilitation have received significant attention in the rcent times. It is important to improve the resilience of these buildings and minimize the loss due to natural hazards. The proposed study aims to improve existing seismic damage assessment of buildings and provide a mechanism for visualization of their performance and damage states based on the data from on-board instrumentation.

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Faculty Supervisor:

Ashutosh Bagchi

Student:

Partner:

9420410 Canada Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Simulation and modifications of an industrial scale dehydrator

CanDry is currently in R&D stage developing a dehydrator for drying organic and in-organic materials. A prototype is built for testing purposes which will help to design a good quality product. For modifying the design of prototype, we need to simulate the electromagnetic behaviour of the system and run multiple tests to compare the simulation design with the practical outcome. Additionally, as our technology is a combination of 4 commonly used drying solutions, the system needs to be tested to find out the effects of the different factors on the performance of the prototype and find the best operating points. Also, for controlling the amount of radiations, it is required to have an understanding of the temperature and moisture level in the drying chamber. Therefore, another intern is needed to develop a reliable monitoring system.

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Faculty Supervisor:

Shahab Sokhansanj

Student:

Partner:

CanDry Technologies Inc.

Discipline:

Engineering

Sector:

Manufacturing and Construction; Biotechnology; Clean Technology

University:

The University of British Columbia

Program:

Accelerate

Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset

The analysis of large, complex data helps scientists from different fields (e.g. physics, chemistry, biology) to provide new insights on their research. The field of neuroscience is no different. Larger and more complex studies which create huge amount of data are more and more common. Thus, the development of tools capable of processing large datasets is necessary to further advance our understanding of the brain function. Despite some limited efforts to address this issue, there is a lack of software resources capable of dealing with these datasets. Thus, in this project, the intern will contribute to the creation of a new open source software designed to manage and process large datasets from brain optical imaging experiments. This project will help the partner organization to gain visibility in the market of biomedical research instruments by associating the software with the equipment sold by the company.

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Faculty Supervisor:

Matthieu Vanni

Student:

Partner:

LabeoTech

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Enrichment strategy for cardiovascular clinical trials

Cardiovascular clinical trials try to demonstrate the benefit of a medication on populations where the number of participants with the targeted disease is very low. The low efficacy of treatment is partially due to the diversity of diseases and of the population. To improve the efficacy of treatment, it is necessary to improve the recruitment of participants that are at greater risk of the studied disease through a process known as “population enrichment”. This project proposes the development of a tool for population enrichment by identifying participants at greater risk of a cardiovascular event based on laboratory blood work, clinical data, and specific genetic mutations. This will allow further identification of subgroups most likely to benefit from cardiovascular treatment. Ultimately, this technology could become a stepping stone for the use of precision medicine in cardiovascular diseases.

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Faculty Supervisor:

Hélène Girouard

Student:

Partner:

Perceiv AI

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Pickup and Delivery with Smart Service Times

The research problem to be addressed is the pickup and delivery problem (last mile) with precedence constraints for the pickup/delivery operations, and time windows. The objective is: (i) the design of a new algorithm that will use the algorithm of Curtois et al. [6] as a starting point, and to generalize it with precedence constraints, time windows and smart service times constraints and, the implementation and the testing of that algorithm with data sets coming from regular customers of Clear Destination, (ii) the design of a machine learning model and algorithm for the computation of the size of the time windows based on the type of goods and the characteristics of the pickup/delivery addresses, using the current available data, its implementation and testing , and (iii) a set of recommendations for the collection or the acquisition of more data related to the characteristics of the pickup/delivery addresses.
Benefit for the partner organization will be a more flexible and robust software for the planning of last mile pickup and delivery, with shorter and more accurate time windows. This will in turn increase the satisfaction of the destined clients of the pickup and delivery operations.

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Faculty Supervisor:

Brigitte Jaumard

Student:

Partner:

Clear Destination

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Marketing Interim

The project revolves around developing an e-commerce solution for a pharmaceutical brand. The short term goal will be to use social media platforms to build the brand.

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Faculty Supervisor:

Robert Helsley

Student:

Partner:

Solaris Worldwide

Discipline:

Business

Sector:

Retail trade

University:

The University of British Columbia

Program:

Business Strategy Internship

Analyst, Corporate Development

We are now building out a long-discussed but not yet implemented business line that fits well with the virtual service delivery model. This new business line would focus on delivering capacity building programs to our clients through a virtual platform. The process of the building the product is underway, though a significant amount of work remains to develop the implementation strategy (including plans for marketing, operations, financial projections. The Analyst would report directly to the Director of Business Development and support the strategy and implementation of
the new business line (product). Depending on the strengths of the intern, this position would focus on: Conducting a competitive analysis of the business line; identifying competitors, good practices, etc., developing the marketing strategy for the business line, including strategic partners; preparing marketings, supporting our experts to develop content for the business line; develop training materials, multimedia etc, support in customizing and improving the online training platform. Like many professional service firms, our organization is facing challenges resulting from project approval delays, deferrals and cancellations. We are also impacted by the ongoing travel restrictions that affect our ability to carry out components of already approved projects.

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Faculty Supervisor:

Robert Helsley

Student:

Partner:

International Financial Consulting Ltd

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Business Strategy Internship

Dylan Nguyen BSI Application

The main project will be to develop measurement tools to alumni and client engagement on a monthly basis, and creating a platform to showcase these results. Reports and a dashboard will be created to provide a holistic view of alumni engagement, including repeat business, referral business, brand affinity and alumni interactions. The results of this analysis will be used to generate actionable insights to deepen relationships with alumni, including future networking events, and online content. It will also help to inform future development of programs, sales/marketing initiatives, and social media content for the Academy.

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Faculty Supervisor:

Gregory Zaric

Student:

Partner:

Ivey Academy

Discipline:

Business

Sector:

Education

University:

The University of Western Ontario

Program:

Business Strategy Internship

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.