Innovative Projects Realized

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

31915 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9950
QC
98
PE
629
NB
1215
NS

Projects by Category

Structural Geology and Controls on Gold Mineralization, Ormaque Deposit, Abitibi Subprovince, Val d’Or Quebec

The MSc student will determine the factors determining the distribution of gold at the Ormaque gold project, near Val d’Or Quebec. This will be accomplished by examination of drill core, and mapping of underground exposure when available, at the Ormaque site during two summer field seasons. Samples collected in the field will be returned to Laurentian University and examined using petrographic and scanning electron microscopes and a laser-ablation induced-coupled mass spectrometer instrument. This data will be used to characterize the deposit and prepare a geological map and cross sections focused on the structural geologic framework of the deposit. The partner Eldorado Gold will benefit from this research through an improved understanding of the distribution of gold within the Ormaque deposit and the geological events which resulted in this distribution. This will help the partner in defining better the deposit and in their wider exploration efforts in the Val D’Or district.

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Faculty Supervisor:

Ross Sherlock

Student:

Partner:

Eldorado Gold

Discipline:

Earth science

Sector:

Natural Resources; Mining; Technology

University:

Laurentian University

Program:

Accelerate

Low Hopes, Bad Democracy? A Tale of Unexpected Winners and Losers

A great amount of research has noted the existence of a gap between winners and losers in relation to satisfaction with democracy (SWD). As stated by Craig et al. (2006, 579), “winners and losers do not always respond with equal enthusiasm either to the election outcome, or to the institutions and processes through which that outcome was rendered.” One aspect of the winner–loser gap that has been overlooked is the impact of citizens’ expectations and the strength of these expectations on their level of satisfaction with democracy. More precisely, what can we expect from unexpected winners and losers? Are individuals on the losing side less dissatisfied when they recognize their favourite party was likely to be defeated at the polls? Does experiencing a surprise victory leads to a boost in SWD? Leiter et al. (2020) have claimed that “when faced with a reality that does not comport to their established beliefs, citizens may react quite negatively—an increasingly concerning phenomenon in modern democracies.” However, the potential association between (unfulfilled) expectations and attitudes towards democracy has been given almost no attention (but see Umit 2020).

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Faculty Supervisor:

Ruth Dassonneville

Student:

Partner:

Sciences Po

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Impact of industrial whaling: scale, ecological, and evolutionary legacies

The large baleen whales were driven to near-extinction by industrial whaling during the 16th–20th centuries. Several key questions remain about the effects of this large-scale removal, such as: (a) what were the abundances of pre-whaling populations; (b) did whaling and subsequent recovery lead to changes in population structure, and connectivity; and (c) did the extreme population reductions due to whaling result in long-term negative impacts, thereby endangering the long-term persistence of baleen whales? These questions can only be answered by the integration of past and present genomic information. This project aims to obtain a set of genomes extracted from historical bones as an essential part of measuring the impact of industrial whaling on the remaining baleen whales. The output of this project will help us understand the genetic consequences of intense harvesting in marine mammals, providing baseline information for future protection efforts of these endangered species.

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Faculty Supervisor:

Camilla Filomena Speller

Student:

Partner:

University of Groningen

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Breeding Ecology of Raptors Breeding near Rankin Inlet, NU

Nestling survival is known to decrease with lay date (Anctil et al. In Press). Although this pattern is consistent with one aspect of the condition-dependent model, the data describe only a single breeding season. The objective of this project is to use a 30 year data set to investigate the relationship among arrival date, clutch size and a crude measure of body condition (body weight). In addition, the graduate student responsible for this project will use archived blood samples (2008-2012) as well as those collected in 2013 to examine the relationship between physiological stress markers (e.g., corticosterone) to assess the relationships between body condition, arrival date, lay date, clutch size, and reproductive success. In addition, the intern will compare these variables for birds breeding near to and away from industrial development. Results will be made available to industry collaborators and other contributors to aid in the management of this species.

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Faculty Supervisor:

Joel Bety;Alastair Franke

Student:

Partner:

Agnico-Eagle Mines-Ontario

Discipline:

Life Sciences

Sector:

Mining

University:

Université du Québec à Rimouski; University of Alberta

Program:

Accelerate

Investigating the Effect of Cognitive Training Simultaneously with Application of either Active or Sham Transcranial Alternating Current Stimulation on the Executive Brain Functions in Dementia Population

Built upon our successful pilot projects, the goal of this project is to investigate the effect of transcranial alternative current stimulation (tACS) paired with cognitive exercises in a placebo-controlled study on individuals with dementia, and develop novel technologies to monitor its effects and also predict a patient’s response to a treatment at baseline. This project can lead to an efficient optimized personalized treatment strategy for dementia.

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Faculty Supervisor:

Zahra Kazem-Moussavi;Mohammad Jafari-Jozani;Brian Lithgow

Student:

Partner:

Riverview Health Centre Foundation;Aster Gardens

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

University of Manitoba

Program:

Accelerate

Fake User Detection

This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major tasks are data collection and data analysis. Customizable tools for data collection and analysis are to be designed, implemented and deployed in collaboration with the partner organization. If meaningful analysis results are obtained, a real user confidence-level system can be designed based on a user’s profile, thus facilitating targeted and priority marketing to potential real customers.

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Faculty Supervisor:

Kin Fun Li

Student:

Partner:

VINN Auto

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Wireless Readout Integrated Microwave Sensor for Detecting Ice/Snow in Harsh Environments

Several de-icing systems have been developed to reduce economic losses and safety hazards due to ice and snow accretion on home pathways. These de-icing systems need to be energy-efficient, and therefore, must be accompanied by high-performance sensors capable of accurately detecting ice and snow to control the de-icing system. In addition to this application, recent industrial developments have shifted the paradigm of ice sensors towards extreme environment applications requiring sensors be operated in harsh conditions. These sensors must exhibit robust performance with significant accuracy while enduring variations in environmental and operational conditions. To increase the ease of implementation, wireless capabilities are required to widen their adaptability.
Microwave sensing is an emerging technology which has demonstrated contactless, non-intrusive, and robust monitoring and detection performance and is an outstanding candidate for implementing these ice sensors. The innovation will be integrating the transducer component and the wireless readout electronics on a single substrate for reliable, ultrasensitive, and wireless detection of ice and snow. This unique project will instigate further miniaturization and enhancement to microwave sensor functionality while creating high accuracy ice sensors for currently inaccessible environments without requiring an input source or expensive auxiliary equipment.

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Faculty Supervisor:

Mohammad Hossein Zarifi

Student:

Partner:

Tekmar Control Systems

Discipline:

Engineering

Sector:

Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Data driven intelligent programming tutor

Korbit Technologies Inc. is developing an e-learning platform to teach artificial intelligence (AI), data science and coding skills. The student interacts with a virtual, personalized AI tutor, through a web-based chat interface. The main objective of this research project is to investigate how a personalized, data-driven learning experience based on the student’s profile, needs, and performance, can improve the comprehension of programming languages and learn practical skills. The project will propose, design and develop concrete tools to enhance the learning experience for students on the Korbit e-learning platform. First, by improving the message generation system used by the AI tutor to assist the student in the completion of the coding exercise (e.g. hints, prompts, explanation of errors, explanation of missing or incorrect code etc.). Second, by creating a recommendation system, to propose the most appropriate exercise (including exercise difficulty, type and feedback) for a specific student using machine learning techniques.

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Faculty Supervisor:

Esma Aimeur

Student:

Partner:

Korbit Technologies

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Work improvement for steel fabrication shop by using dynamic value stream mapping

The steel industry in Canada encounters some challenges to have sustainable and efficient steel production. One of these challenges is identifying bottlenecks accurately in steel fabrication workstations. The goal of the proposed research project is to improve work productivity for the partner company (Ocean Steel). The research work included conducting a literature review to evaluate what are the current applied solutions to resolve the same issue encountered with Ocean Steel. However, most of the solutions found were not applicable to Ocean Steel case (some improvement is required). Consequently, the work will include activities such as data collection automation, time studies, simulation modelling, and lean-based optimization. The partner company will benefit from this project by having an accurate information about their productivity and having a better opportunity of production and work improvement. Eventually, the partner company will be able to use the final deliverables from the research as a decision support syste

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Faculty Supervisor:

Zhen Lei;Ala Suliman

Student:

Partner:

Ocean Steel & Construction Ltd

Discipline:

Engineering

Sector:

Construction and infrastructure; Manufacturing

University:

University of New Brunswick

Program:

Accelerate

Using a smart audio device, Tochie in a long term care home

This project will engage seniors, family members, and care staff, a total of 53 participants in a long-term care home to adopt a new technolopgydevice, Tochie for familyconnection. Participants will use the assistive audio speakers named Tochie over one month. Ongoing support and assistance will be provided to all participants during the one month to maximize the device’s potential benefit. After one month, all participants will be interviewed in focus groups to explore their experience and feedback on using the smart audio device. This project intends to explore user experiences of technology adoption. The findings of this project will provide helpful insight into specific needs and preferences of LTC residents and their families. Technology adoption barriers and challenges will be identified. Tochtech will use research reults to improve their product design on Tochie.

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Faculty Supervisor:

Lillian Hung

Student:

Partner:

Tochtech Technologies Ltd.

Discipline:

Life Sciences

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Performance Evaluation of Solvent Co-Injection Scenarios in Steam Assisted Gravity Drainage (SAGD)-Based Bitumen Recovery

Through the outlined objectives and methodologies, this project aims at evaluating the performance of the solvent assisted bitumen recovery techniques under various operation scenarios and in presence of reservoir heterogeneities. The objectives are fulfilled through advance numerical reservoir simulation studies, detailed review of the present technologies, and analyzing the laboratory/field production results. Ms. Fazlyeva will be accomplishing the outlined tasks under direct supervisions of senior reservoir engineering and technology developers. By building a solid and comprehensive understanding of the physics and fundamentals of solvent aided bitumen recovery processes, COP can optimize its future solvent applications to ensure maximized bitumen recovery and substantial reduction in greenhouse gas (GHG) emissions.

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Faculty Supervisor:

Sudarshan (Raj) Mehta

Student:

Partner:

ConocoPhillips Canada

Discipline:

Engineering

Sector:

Oil and Gas; Sustainability & the Environment; Energy and Utilities

University:

University of Calgary

Program:

Accelerate

Generation of small molecule from pharmaceuticals waste via thermochemical conversation

In the shadow of a worldwide pandemic, the importance and need for pharmaceutical research is abundantly clear. In Canada alone, 25 billion units of pharmaceuticals are dispensed every year, and of that 30% of the total product ends up as waste, about 1.1 million kilograms per year. How these pharmaceuticals are wasted has impacts both economically and environmentally. Thermochemical conversion is a method to thermally decompose the waste pharmaceuticals in order to convert them into high value added materials. This process leads to obtain a carbon based material called char and a rich oil. Char is high surface material which can be utilize in lots of application such as water/air treatment etc. On the other hand, the generated oil has shown a great potential for recovering the pharmaceutical precursors.

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Faculty Supervisor:

Stephanie MacQuarrie

Student:

Partner:

UnBound Chemicals Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Cape Breton University

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.