Innovative Projects Realized

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

31132 Completed Projects

2940
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5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Real Time Tone Mapping of HDR Video Content

High Dynamic Range (HDR) content and displays are available on the market but the vast majority of the users displays are Standard Dynamic Range (SDR), not able to reproduce the enriched, higher quality and with more details HDR content. Thus, operators to compress the HDR content and make it ready to be able to be displayed on the SDR displays with the minimum possible loss of information are needed. These algorithms are called Tone Mapping Operators (TMOs). The majority of the TMO operators were designed to address HDR images but not video sequences. The naïve application of such an operator to HDR video sequences raises visual artifacts such as flickering, ghosting and temporal inconsistency. On this work we aim to extend an existing TMO to be able to handle HDR video without suffering from the before mentioned issues. TO BE CONT’D

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Faculty Supervisor:

Panos Nasiopoulos

Student:

Partner:

TELUS (Vancouver, BC)

Discipline:

Engineering

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

An Assessment of Local Business’ Understandings and Needs for Community Leadership in a Small Urban Setting

Community leadership development and training programs must respond to changing corporate and public perceptions. There has been a lack of research on community leadership within small urban settings, where the impact that training and development programs have may be high. Our objective is to describe how local businesses in a small urban setting understand community leadership and what needs they have with respect to training and development. We will conduct fifteen in-depth interviews with a diverse range of local business leaders in Greater Victoria, British Columbia. Community leadership will be understood as something distinct from marketing and philanthropy. Understanding of community leadership will vary greatly by business and a diverse range of development needs identified to help inform Leadership Victoria’s future program and service offerings. This research will help to build and support stronger community leadership in Greater Victoria and other smaller urban settings across North America.

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Faculty Supervisor:

Nathan Lachowsky

Student:

Partner:

Leadership Victoria Society

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

Visualization, understanding and engineering of machine learning models for entity recognition

Machine learning is a discipline of teaching computers repeatable tasks that humans do well but slowly. At Interdata we are on a mission to use Artificial intelligence to understand the data being stored by organizations and the relationships between those data assets. As such Darrell will be working on methodologies and tools to expand our understanding of the algorithms we develop in order to improve them. He will then use those methodologies and tools to engineer new algorithms to be used by the organization to categorize and tranform data.

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Faculty Supervisor:

David Kristjanson Duvenaud;V. Radu Craiu

Student:

Partner:

Interdata Laboratories Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Learning robotic grasping for e-commerce sortation

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, and needs to then plan and execute a grasp. This is an open research problem at the cutting edge of robotics and AI and we plan to use a combination of state of the art academic research as well as internally developed algorithms.

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Faculty Supervisor:

Sanja Fidler

Student:

Partner:

Kindred AI

Discipline:

Computer science

Sector:

Technology; Automotive; Commercial Services

University:

University of Toronto

Program:

Accelerate

Synthesis of curcumin analogues and their profiling against various cancer biomarkers

Curcumin is a well-studied wonder molecule that displays many health benefits, including anticancer and cancer preventive activities. It has undergone / is undergoing over 100 clinical trials but has not yet culminated into a clinical drug owing to its poor uptake in body. Curcumin’s chemical structure offers an excellent prototype for modification potentially leading to a more effective anticancer agent. To address the unmet need in cancer treatment, we plan to synthesize and bioevaluate two series of rationally designed curcumin analogs, in collaboration of Paraza Pharma Inc. In this endeavor, clinically relevant curcumin analogs will be identified in an expedited fashion utilizing the biomarker profiling approach. Over the period of 8-months, ~25 rationally-designed curcumin analogs will be synthesized, purified and characterized at Acadia University and bioevaluated at Paraza Pharma, Inc.

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Faculty Supervisor:

Amitabh Jha

Student:

Partner:

Paraza Pharma Inc

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Acadia University

Program:

Accelerate

Deep Collaborative Filtering using two stage information Retrieval

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine.
The typical recommendation engines work by utilizing the existing user-product preferences information. They recommend products to a user by comparing his preferences to other similar users’ preferences. The typical example of this is Users who bought item-A also bought item-B. This suffers from the problem of cold-start. This happens say when a user logins for the first time and has no preference information.
We propose to solve this problem by using user-content information and using a technique called deep learning. TO BE CONT’D

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Faculty Supervisor:

Richard Zemel

Student:

Partner:

Layer 6 AI

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Commercial Services

University:

University of Toronto

Program:

Accelerate

System on Chip for Embedded Controller

Thales Canada Avionique développe entre autres des produits constitués de calculateurs (des modules contenant des cartes électroniques constituant des ordinateurs) jumelés à des modules d’interfaces, utilisés présentement à
bord d’avions d’affaires produit par Textron, Bombardier Inc et Gulfstream Aerospace. Ces produits contiennent un nombre trop important de composants électroniques discrets de basses et hautes tensions et puissances, avec
quelques circuits intégrés numériques. Or, les technologies à composants électroniques discrets impliquent de plus grandes dimensions, un poids plus élevé, un plus grand nombre d’interconnexions sur carte avec une conséquence
directe sur sa fiabilité et son coût. Ce projeté vise à faire l’étude des composants avioniques de Thales pour établir des stratégie d’intégration de ceux-ci sur des systèmes sur puce miniaturisés. Cela permettra d’augmenter la
fiabilité, de réduire le volume, le poids et la consommation de puissance des systèmes avioniques de Thales.

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Faculty Supervisor:

Yves Blaquière

Student:

Partner:

Thales Canada Inc (St. Laurent, QC)

Discipline:

Physics

Sector:

Education; Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Standard Response Documents Application

Developing a model for a system can come with a lot of uncertainty, especially in the early stages of development. Recent research has be done into removing uncertainty during early stage models. Doctalk plans to use modern research to develop a viable product for market, while contributing to the process of the research being applied to the development of the product.

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Faculty Supervisor:

Marsha Chechik

Student:

Partner:

Doctalk Inc

Discipline:

Computer science

Sector:

Administrative and support, waste management and remediation services; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Development of a theoretical and a practical model for assessing the socio-economic feasibility of small-growing businesses

The objective of the research is to provide international development agencies and non-governmental organizations (NGOs) with decision making and evaluation tools that are practical and, at the same time, are based on sound academic foundations. These tools are specific to a sector, such as nutrition, and a country, such as Guatemala. The resulting documents will assist analysts in the design of international development projects as well as in their assessment, monitoring, and evaluation. The immediate benefit of such practical guidelines would be their utilization by the partner organization in the analysis of ongoing projects.

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Faculty Supervisor:

Huw Lloyd-Ellis

Student:

Partner:

Limestone Analytics Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Info-Archéo: Environnement numérique de consultation des connaissances du patrimoine urbain enfoui

À la ville de Québec existe un système (SIGMA II) qui regroupe tous les plans et les cartes anciens qui couvrent le territoire de la ville. Le positionnement précis de ces derniers permet de voir l’évolution des divers quartiers de la ville et de certains terrains en particulier. Actuellement, SIGMA n’est pas accessible aux personnes ne travaillant pas à la ville. Le projet proposé vise ainsi à concevoir et développer à l’aide d’une interface de type ArcGIS Online une application de consultation sur tablette nommée Info-Archéo. Celle-ci permettra, tout en respectant les contraintes de diffusion de la ville de Québec, d’offrir un accès aux données de SIGMA II pour pouvoir profiter de toute l’information historique et archéologique. Cette application pourra aussi servir aux archéologues dans leurs travaux de recherche tout en permettant au public de mieux connaitre, voire à s’approprier, leur patrimoine urbain.

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Faculty Supervisor:

Jacynthe Pouliot;Réginald Auger

Student:

Partner:

Esri Canada Ltd

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

A Review of Doctoral Dissertation and Comprehensive/Candidate Exam Models in Canada in Relation to Learning Outcomes Relevant to Both Academic and Non-Academic Careers

The alignment of the dissertation and the CE in terms of preparing students as researchers in today’s environment or for innovative work outside the academy is in question. The purposes and structures of these basic PhD components have not changed significantly since the origin of the modern PhD, which was developed primarily as a vocational degree for the professoriate. Much work has gone into identifying the range of knowledges, intellectual abilities, competencies and attitudes required by graduates, especially those working outside the academy, yet these attributes have not necessarily been the focus of educational efforts or assessment in these core components.
The intern will work with and support two working groups established through CAGS, focused respectively on the dissertation and the CE and their purposes, forms, and assessment. TO BE CONT’D

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Faculty Supervisor:

Anthony Pare

Student:

Partner:

Canadian Association of Graduate Studies

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

Optimizing Movement in Children Study (OMiCS)

OMiCS represents a broad research initiative exploring the relationship between physical literacy (PL) in children and markers of biological health. The research seeks to expand on the literature surrounding the components of PL: physical competence, confidence, and motivation for being active, and determine whether any of these components can shift objective biomarkers of health (the “omics”). Employing emerging technologies from the field of personalized medicine, OMiCS will collect and analyze biological samples from a diverse group of children, which will allow researchers to determine what, if any, effect the components of physical literacy have on a child’s “omics”.

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Faculty Supervisor:

Eli Puterman

Student:

Partner:

Active for Life

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

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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.