Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

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

Fibre response to temperature and precipitation variation in natural and planted stands of spruce (Picea glauca x Engelmannii) in northern interior British Columbiaa

This goal of this research project is to understand how wood fibre characteristics within planted and natural stands of spruce behave with changes to temperature and precipitation. Several methods of wood analysis will be used to determine this relationship including dendrochronology, scientifically dating tree-rings and comparing to climate, and analysis of fibre qualities, or cellular wood qualities, within samples of both natural and planted stands of spruce. The partner organization, Canfor, will benefit by gaining knowledgeable expertise in how cellular wood fibre qualities vary with climate and how future wood sources are expected to change with a changing climate. This knowledge will allow Canfor to better understand their future wood quality and help maintain sustainable forests and economic stability.

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Faculty Supervisor:

Lisa Wood;Kathy Lewis

Student:

Partner:

Canfor Pulp Ltd

Discipline:

Physics

Sector:

Agriculture; Manufacturing

University:

University of Northern British Columbia

Program:

Accelerate

Ciena Environment for Network Innovation

The Ciena Environment for Network Innovation (CENI) is a research project at Ciena which looks in to future computer communications networks with special focus on increased capacity (bandwidth) and control (SDN, or Software Defined Networks). This project operates an international testing network that connects Ciena’s Ottawa research facility to university based network researchers in Chicago, Baltimore, Amsterdam and San Fransisco. Researchers at these locations combine efforts with Ciena to build new, higher capacity, flexable, programamble networks needed to deal with the ever dramatic increase in Internet enabled devices.

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Faculty Supervisor:

Chung-Horng Lung

Student:

Partner:

Ciena Corporation (Ottawa, ON)

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology; Education

University:

Carleton University

Program:

Accelerate

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