Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Characterization and application of multidimensional coherent imaging systems for monitoring and control of laser welding

Inline coherent imaging (ICI) may be used to take real-time one dimensional measurements of laser material processes such as industrial laser welding. Multidimensional coherent imaging and measurement of the vapour capillary (or ‘keyhole’) created during the welding process is a critical evolution of the technology for implementation in manufacturing production addressing many needs. This project will investigate and attempt to implement multidimensional ICI in an imaging system for real world applications. The aim is to systematically explore the parameter space of laser welding and ICI configurations to determine best practices and inform future generations of designs. The project involves: 1. Developing algorithms to quantitatively compare image quality; 2. search a multivariate parameter space of laser welding experiments and ICI scan alignments to identify trends and signal quality maxima. We expect to use these results to limit the useful range of numerical apertures of the imaging system and quantitatively determine the sensitivity of the signal to small perturbations in alignment at multiple weld conditions.

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Faculty Supervisor:

Dr. James Fraser

Student:

Christopher Galbraith

Partner:

Laser Depth Dynamics

Discipline:

Physics / Astronomy

Sector:

Energy

University:

Queen's University

Program:

Accelerate

An Integrated framework for connecting innovation providers and innovation seekers: from database construction and population to knowledge discovery

The energy and extractives industries in Canada and abroad (e.g.) are facing challenges that impact negatively on a number of areas including efficiencies and environmental footprint. The objective of this project is to provide Rainmaker Global Business Development with the machine learning and probabilistic research needed to develop a Canadian Clean Technology online marketplace by providing an intern for the project. The intern will become proficient in the development of a sophisticated system for knowledge acquisition, processing and transmittal through the development of the intelligent CleanTech database and its attendant functionality based on machine learning algorithms. Expertise from the database and data mining group at the University of Calgary will enable the company to achieve the above objectives through the internship by developing an integrated framework that combines various state of the art techniques from data management and mining, machine learning and network modeling and analysis.

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Faculty Supervisor:

Dr. Jon Rokne

Student:

Btissam Rachdi

Partner:

Rainmaker GBD

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

Development of an Intelligent Mobile Personal Emergency Response System for Elderly

Epic Safety Inc. specializes in Personal Emergency Response Systems (PERS), Mobile PERS and Tele-Health. Recognizing Dr. Golnaraghi’s internationally recognized expertise in this field, Epic will be working with his team of HQP and provide them with practical training with the goal to employ these highly qualified personnel to guarantee the advancement of this technology. The envisioned Mobile PERS includes a fall and vital signs sensory system that uses a combination of sensors to record a user’s movement/activities and vital signs (blood pressure, heart rate etc.). In this phase of the study, the SFU team will look at design of the sensory system and testing the proof of concept to ensure its reliability for fall detection. The proposed technology combines various pioneering academic research concepts including the inertial navigation systems, intelligent systems and novel vital signs detection utilizing the concept of oximetry. The proposed activity will directly benefit Canadian elderly population.

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Faculty Supervisor:

Dr. Farid Golnaraghi

Student:

Amr Marzouk, Majid Shokoufi, Mohammad Narimani

Partner:

Epic Safety Inc.

Discipline:

Engineering

Sector:

Medical devices

University:

Simon Fraser University

Program:

Accelerate

Diagnosing Security Risks in an Industrial Control System using a Novel Real-Time Device

The integration of control system workstations with wireless networks in critical infrastructure systems raises a major challenge as it now requires the ability to detect cyber security threats which could ultimately cripple the organization’s network. Cyber risk management and the ability to apply appropriate countermeasures requires the ability to predict, restrain and detect threats, which Red Tiger Labs has begun to tackle by designing the Control Layer Assessment Workstation (CLAW) tool which has the ability to provide early threat detection and reassessment of Industrial Control Systems. The incorporation of a hardware device capable of real-time data capture within the CLAW workstations will provide extended levels of security to the system. The token will be designed to detect cyber security issues concerning devices within the network using regulations available from CLAW tool. The project aims to investigate hardware serial logging to identify threats on a network with integrated wireless communication capabilities allowing tokens to report status to other devices for advanced risk management. Further, the user Interface development will aim to permit data selection logging according to the desired information during a specified timeframe.

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Faculty Supervisor:

Dr. Trevor Pearce

Student:

Rima Alkhalili

Partner:

Red Tiger Labs

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Carleton University

Program:

Accelerate

Salu – Cardiovascular System Monitor Prototyping

The Salu Design Group has developed the PulseWave – a compelling wearable solution that includes a small device and software application that can be used to help people better understand their cardiovascular and circulatory health state, as well as provide some simple feedback on how to improve their state of health. Twenty one percent of US consumers currently own a wearable technology product, yet over half of them do not wear them on a daily basis, including some who have given up on using them all together. The research problem that will be focused on for the Mitacs Grant is, “How does Salu “engage those who are unengaged” with their health, to improve health? This research problem provides a valuable opportunity for Salu, and its interns to provide for a compelling new and disruptive technological innovation for the fast growing wearable technology market. For Salu this emerging market, and the technologies that it is testing and developing, provides an important means for creating a valuable solution that can help people better understand and address their health & wellness goals.

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Faculty Supervisor:

Martin Ferguson-Pell

Student:

Martin Tee

Partner:

Salu Design Group

Discipline:

Human physical performance and recreation

Sector:

Medical devices

University:

University of Alberta

Program:

Accelerate

Impact of a cognitive intervention program on brain structure and function in adults with mild traumatic brain injury (mTBI)

Mild traumatic brain injury (mTBI) is one of the least understood neurological injuries. Increasing evidence shows that the effects of mTBI are not transient and may be associated with significant long-term consequences on brain function and may lead to long-term changes in the functioning of the brain with impacts on many areas related to information processing. Over a lifetime, repeated brain trauma is a significant risk factor for developing neurodegenerative disorders including Alzheimer’s disease (AD) and Parkinson’s disease (PD). Currently, there is very limited research on the effectiveness cognitive rehabilitation in patients with mTBI. The purpose of this study is to gain insight into how a cognitive intervention program – specifically the Arrowsmith program, alters the structure and function of the brain in adults with mTBI. In this project the interns will be involved in analyzing brain scans of patients with mTBI before and after the Arrowsmith program to determine how this program may result in changes in the brain. This research is very important to the Eaton Arrowsmith group to understand how the program impacts brain function after brain injury.

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Faculty Supervisor:

Dr. Naznin Virji-Babul

Student:

Jenna Smith-Forrester & Shaun Porter

Partner:

Eaton Educational Group

Discipline:

Human physical performance and recreation

Sector:

Education

University:

University of British Columbia

Program:

Accelerate

Development of an Accurate Method for Predicting Heat Transfer in Screw Conveyors

The aim of this project is to develop an accurate numerical method of predicting the performance of screw conveyors in which there is heat transfer to or from the material being transported. A detailed review of past studies in this area will be undertaken and based on this and on an understanding of the characteristics of the software that will be used a solution procedure will be selected. This procedure will be implemented using the commercial software package FLUENT©. This solution procedure will be validated by comparing the results that it gives for the few situations that have previously been studied with the results obtained in these previous studies. Properties of materials that are likely to transported in screw conveyors in which heat transfer occurs will then be obtained and some sample calculations will be undertaken. This study will provide the partner organization with a method for more accurately designing screw conveyors in which heat transfer occurs and will given the intern experience in numerically predicting the performance of complex engineering systems.

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Faculty Supervisor:

Dr. Patrick Oosthuizen

Student:

Neda Mansouri

Partner:

Continental Conveyor

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

Progression du nouveau moteur de positionnement de Delmiabasé sur les intentions de l’usager

L’objectif général de ce projet est le développement d’un nouveau moteur de positionnement de Delmia basé sur les intentions de l’usager. Ce nouveau moteur positionnera le mannequin de Delmia en tenant compte de la l’équilibre postural, de l’effort exercé par les membres supérieurs sur l’environnement ainsi que la probabilité et la répétabilité de la posture tout en évitant les obstacles environnant. L’équilibre postural sera contrôlé par le concept du zero-moment-point (ZMP) : un point virtuel ou l’ensemble des couples externes s’annulent sur le plan horizontal. La connaissance des forces exercés par le membre effecteur permettra le calcul des forces de réactions au sol qui à leurs tours estimeront le ZMP. Nous pensons que dans un avenir proche que cette rétroaction générera une posture stable et plausible du point de vue biomécanique. Enfin le mannequin intégrera une acuité visuelle capable de procéder à l’évitement des objets dans l’environnement proximal du mannequin.

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Faculty Supervisor:

Rachid Aissaoui

Student:

Arnaud Barré, Pierre-Olivier Lemieux & TBD

Partner:

Dassault Systèmes

Discipline:

Engineering

Sector:

Information and communications technologies

University:

École de technologie supérieure

Program:

Accelerate

Translating a Quantum Computing Actor-network through Controversy

Quantum computing has emerged as a new paradigm of computation with potentially far-reaching consequences. However, this change in the form, abilities, and characteristics of computation has not been well studied or theorized in communication studies and related fields. This project draws upon Actor-network Theory (ANT) to challenge the assumptions about computation/computers found in current writing in communication studies and expand the use of ANT to a new and intriguing area of technosocial development. This is done primarily through an intensive ethnography of a quantum software company, which is studied as a “point of passage” in the emerging industry. This phase of the project focuses on interviews, day to day observation, and documentation practices of software engineers at the company.

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Faculty Supervisor:

Dr. Chris Russill

Student:

Derek Noon

Partner:

1QB Information Technologies Inc.

Discipline:

Journalism / Media studies and communication

Sector:

Information and communications technologies

University:

Carleton University

Program:

Accelerate

Mechanical design and improvement of modular Stable Vertical Lift Platform (SVLP)

Portable lifting systems and platforms are used extensively in music and movie industries for elevating both equipment and personal. An ideal system for these industries is a portable stable platform that can be transported to the desired site and reconfigured (or moved) to the necessary height with ease. The market currently lacks such highly portable stable lifting system. A modular stable vertical lift platform (SVLP) has been conceptualized in order to overcome the mentioned issues in current lifting systems. The modular SVLP has tremendous market potential in both the entertainment and movie industries. Indeed the final clients in the entertainment industries are eager about the design idea. SFP currently lacks the expertise and dedicated manpower resources to independently develop the modular SVLP system and needs the assistance of an intern through the Mitacs Accelerate program in order to successfully design and analyze their system.

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Faculty Supervisor:

Dr. Krishna Vijayaraghavan

Student:

Behzad Abdi

Partner:

Surrey Fluid Power

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Sequential Pattern and Association Rule Mining with Big Sales data for Online Merchants

The goal of this research project is to answer the following two highly-coupled questions concerning essentially all online merchants: (1) which items in my current inventory are highly relevant and should be sold or recommended together? and (2) what new merchandise should be put into my current online store? The key to answering the above questions relies on efficient data mining techniques that discover interesting relations between merchandise in large-scale online sales transactions. The research problems of this project come directly from the practical demand of the partner organization, Terapeak. This project follows the company’s strategic plan in performing high-quality and more efficient market analysis with big data. New technologies to facilitate online shopping and attract online buyers are indispensable for Terapeak to remain competitive in the e-commerce market.

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Faculty Supervisor:

Dr. Kui Wu

Student:

Cheng Chen & Jie Chen

Partner:

Terapeak

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Investigation and implementation of high performance passive and active building blocks of a silicon-based integrated millimeter-wave radar transceiver for automotive safety applications

This project is intended to investigate and address some of the challenges in the implementation of high quality factor and compact passive components and structures and their application in implementation of active circuit blocks in integrated circuit silicon technology at millimeter wave range of frequency. Advanced deep sub-micron silicon technologies such as SiGe and CMOS offer fast and high frequency transistors however the substrate is lossy and a challenging environment for implementation of high frequency passive components. Overcoming this challenges will pave the road for implementation of low cost and mass production grade devices and system on chip at very high frequency for emerging applications of automotive radar sensors and Gigabit/sec communication and wireless data transfer. MMSENSE Technologies is currently developing products in millimeter wave band for sensing and communication markets and this project will address some of the challenges in product development in leading edge silicon based technologies. Conducting research in this area and applying latest research results into the product development will help MMSENSE Technologies to stay competetive and develop competitive products for emerging millimeter wave applications.

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Faculty Supervisor:

Ammar Kouki

Student:

Seyyed Hassan Mousavi

Partner:

MMsense Technologies

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

École de technologie supérieure

Program:

Accelerate

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