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

Marketing Assistant

Premier Landscaping supplies a program of annual lawn and garden maintenance to a variety of properties throughout Greater Vancouver and Fraser Valley. The management of Premier Landscaping values the most recent business training, especially in the new marketing methods. The intern will hopefully help us read the needs of the Landscaping market post-COVID as well as expansion and careful diversification. An old company that wants change, we feel a fresh mind can help. We want help to stay 2 years ahead of the competition. An intern will conduct a strategic analysis of the existing plans from early 2020, which encompasses: evaluation of the annual marketing calendar, the marketing process, the prospect qualification process, reassessment of the database and categories of prospects and customers, key market segment research and recommendation of the priority of each.

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Faculty Supervisor:

Robert Helsley

Student:

Partner:

Premier Landscaping Inc.

Discipline:

Business

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Business Strategy Internship

Multi-channel Fluidic Cartridges for Parallel Nanopore Sensing

Solid-state nanopores are tiny holes in thin membranes comparable to the size of individual biomolecules like protein or DNA. They are using as sensors to detect these molecules one at a time, and have the potential to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods, but have not been able to so far due to the high cost and inability to scale of the methods traditional used to fabricate them. We recently developed a method that allows to inexpensive, scalable fabrication of nanopore sensors. This project seeks develop the fluidic handling methods to allow for parallel use of multiple nanopore sensors for the sake of increased experimental redundancy and throughput, allowing researchers to accelerate the pace of work toward disruptive application of these sensors in a variety of increasingly critical markets.

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Faculty Supervisor:

Vincent Tabard-Cossa

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Physics

Sector:

Nanotechnology; Biotechnology; Life Sciences (not health)

University:

University of Ottawa

Program:

Accelerate

Harpreet Kaur

PolyUnity is a health technology start-up that designs, manufactures and distributes 3D printable products. They are developing a platform that will see product offerings fulfilled by agile manufacturing centres located near the customer. These centres will be connected, managed, and empowered by software thus allowing organizations accessible, standardized products. They are currently developing a market positioning strategy with help from successful Marketing Strategists in Atlantic Canada, to attract new clients for the St. John’s manufacturing centre with the goal of opening new centres in other parts of Canada. To help facilitate their rapid growth, they are hiring a Business Co-op student.

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Faculty Supervisor:

Shirley Noseworthy

Student:

Partner:

PolyUnity Tech Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Asper School of Business MItacs BSI – Delphi Technologies

This project position entails responsibility for promoting and protecting the company’s reputation by developing and executing media relations and public relations strategies and plans for brand building/innovation/corporate promotions, internal communications and corporate communications/corporate affairs initiatives through the use of digital marketing strategies including development and utilization of Facebook, Twitter, YouTube, LinkedIn, etc. in collaboration with the Communications team.

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Faculty Supervisor:

Subbu Sivaramakrishnan;Kelly Mahoney

Student:

Partner:

Illumia Labs INC.

Discipline:

Business

Sector:

Education

University:

University of Manitoba

Program:

Business Strategy Internship

Market Analyst

Act as a Market Analyst to carry out:
– quantitative and qualitative research using modern and traditional methods
– analyze and interpret patterns, solutions and opportunities informed by accurate data and research
– formulate plans, strategies and opportunities for presentation to senior management
– remain informed on market trends
– evaluate market and business opportunities and make recommendations in order to identify and develop strategies to attract markets
– conduct social or economic surveys on regional, national and international markets to assess development potential and future trends

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Faculty Supervisor:

John Medcof

Student:

Partner:

FluidAI Medical

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

McMaster University

Program:

Business Strategy Internship

Design Limits for Carbon Fibre ReinforcedPolymers

Hudson Boat Works in London, Ontario is the only company in Canada that manufactures highperformance
rowing shells. Hudson wishes to employ finite element techniques to optimize the design
of their rowing shells and associated structures using advanced engineering techniques. Optimization
of composite materials design requires a detailed understanding of their mechanical response,
including how they fail. Researchers at Western will focus on studying these failure mechanisms, and
in doing so will generate the material data required for finite element analysis. The fracture surfaces of
Hudson’s single ply materials and sandwich panels will be evaluated using optical and scanning
electron microscopy to characterize the failure mode.
The successful conclusion of this project will provide Hudson with the requisite capabilities to employ
advanced engineering techniques to optimize their composite structures. Furthermore, improved
understanding of failure mechanisms in composite materials is applicable to a wide variety of
industries with requirements for tough, lightweight materials.

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Faculty Supervisor:

Jeffrey Wood

Student:

Partner:

Hudson Boat Works

Discipline:

Earth science

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Optimisation de l’ordonnancement des activités de projet en réfection de navires.

Thales développe un logiciel pouvant gérer les activités de projet en réfection de navires militaires. En particulier, ce logiciel permet d’ordonnancer les différentes tâches à accomplir, c’est-à-dire les positionner sur une ligne du temps. L’ordonnancement produit doit tenir compte de la disponibilité des ressources (main-d’œuvre, équipements, espaces de travail) tout en minimisant les heures supplémentaires nécessaires pour respecter les échéances. La programmation par contraintes s’est déjà montrée efficace pour résoudre le problème de Thales. Cependant, lorsque le nombre de tâches devient grand, il devient impossible de le résoudre dans un temps raisonnable (quelques heures). L’objectif général du projet est donc d’accélérer le processus de résolution en intégrant une technique de recherche de solutions couramment utilisée appelée recherche à grand voisinage. Trois spécifications de cette technique ont été établies et chacune d’elles sera testée durant le stage.

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Faculty Supervisor:

Claude-Guy Quimper

Student:

Partner:

Thales Canada Inc

Discipline:

Computer science

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Psychometric evaluation of the Show Up Questionnaire and estimation of innovation climate latent profiles

ShowUp is a new product by Dovico that provides teammates the opportunity to improve their workplace culture. The evaluation is conducted with the help of a questionnaire. Dovico aims to use the results of these questionnaires in a machine learning setting to predict innovative culture in teams and organizations.

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Faculty Supervisor:

Denis Lajoie

Student:

Partner:

Dovico

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université de Moncton

Program:

Accelerate

Sniffing Line in Mass Spectrometry for Direct Analysis

Mass spectrometry is a known for its capacity of detection of sample material with high sensitivity paired with high resolution and accuracy. Developing a “sniffing line” that would provide point-of-measurement capabilities for direct analysis of particulates on various surfaces is a necessary and novel method that will influence the mass spectrometry technique. Referred to as ‘sniffer line’, the apparatus will allow for surface contaminants to be more effectively sampled from the target surface and transported directly into the mass spectrometer. The result will be a more robust particulate analyzer providing enhanced detection ability, higher accuracy, shorter duration, decrease in cost-of-use, and real-time detection, while eliminating false-positive and false-negative errors which is an unaddressed issue in the industry. Recently, QuadroCore invented a new method to provide a more direct and sensitive detection system that detects minute traces of analytes from target materials. The goal of this project is to characterize the first “sniffing line” of this patent by researching, designing, and developing a suitable apparatus.

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Faculty Supervisor:

Qiyin Fang

Student:

Partner:

QuadroCore

Discipline:

Engineering

Sector:

Advanced Manufacturing; Life Sciences (not health)

University:

McMaster University

Program:

Accelerate

Evaluation & sensitivity study of behind-the-meter load disaggregation methods

Solar energy generation at commercial and industrial sites has been gaining popularity in recent years. The addition of batteries to existing solar installations can allow for solar to not only be used during the day when the sun is out, but also at night. There however, are various hurdles to this process specifically involving the transparency of the data coming from the solar unit. Several methods have addressed this issue at residential sites and offer promising results. However, these methods have not be tested for various geographies, climates, and operational issues that can arise at commercial and industrial sites. We will attempt to build upon residential PV disaggregation methods using both physics and statistics-based models. If successful, our method will likely allow for energy storage to be added at existing PV locations, increasing the amount of clean energy used in various industries across Canada & North America.

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Faculty Supervisor:

Andrea Scott

Student:

Partner:

Energy Toolbase

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Application of machine learning techniques to control surface quality of as-printed wire arc additive manufactured components

Nowadays, the wire arc additive manufacturing is making its path toward providing benefits to aerospace, defense, and oil and gas sectors, ascribed to the process capacity to fabricate components with minimum waste of material and lead time. However, the main challenges associated with the WAAM that have hindered the wide-spread application of the technology include the irregular and random quality of the WAAM fabricated surfaces. The mission of this project is to control aforementioned irregularities in fabrication by implementing machine learning-based algorithms and modify the process parameters to achieve a defect-free part with high surface quality. The anticipated trained machine learning method in this project will foster the progress toward completion of an autonomous in-situ defect recognition and correction (AIDRAC) system, which is the primary goal of the intern.

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Faculty Supervisor:

Ali Nasiri

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Technology; Manufacturing and Construction; Advanced Manufacturing

University:

Memorial University of Newfoundland

Program:

Accelerate

Discover anomaly signatures from time series data of telecommunication networks

Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the hardware facilities. Our goal is to build a completed data processing, model building and training system to predict facility failures automatically for production-level deployment with strict evaluation criteria (precision > 80%, which means for all the positive prediction our model gives, at least 80% of them is correct; recall > 10%, which means for all real failures in the network, our model could predict at least 10% of them). The success of this project will expand Ciena’s capability to develop superior products for anomaly prediction services.

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Faculty Supervisor:

Yan Liu

Student:

Partner:

Ciena Corporation (Ottawa, ON)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

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