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

Visualizing data for Fraser River salmon stocks: Developing tools to promote insight and understanding

For this project, we propose to integrate the data about Fraser River salmon populations into a multi-species, multi-population database, and develop an interactive data visualization tool that allows fisheries scientists and managers to explore this data at different spatial and temporal scales. The objective of this project is to provide fisheries scientists and managers with the tools to easily and comprehensively track annual trends in salmon data, and explore these trends for their possible drivers. The development of the data visualizations will be guided by methodology from design studies and psychology to quantifies the visualizations’ ability to promote insight and understanding of this complex dataset. This understanding of variation in Fraser River salmon abundances will in turn lead to more effectively managed fisheries.

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Faculty Supervisor:

Darko Odic

Student:

Michael Barrus

Partner:

Engage Data

Discipline:

Psychology

Sector:

Fisheries and wildlife

University:

Program:

Accelerate

Condom Negotiation Among Gay, Bisexual, and Other Men Who Have Sex with Men

The aim of The Ontario HIV Treatment Network (OHTN) is to help combat the spread of HIV by supporting, conducting, and sharing the best research possible. This project will involve a novel analysis examining aspects of condom negotiation among gay and bisexual men who have sex with men (GBMSM). This work is needed because the HIV prevention methods that involve drug regimens are not available to all GBMSM and do not protect against the transmission of bacterial sexually transmitted infection (STIs). Despite the broader protective benefits of using condoms, this practice is becoming less and less popular, thus we propose to examine how interpersonal elements in condom negotiation, like the use of condom insistence and condom resistance tactics, may interact with psychosocial factors, like perceived relationship power, depression, condom attitude, and others, to influence actual condom use among GBMSM. TO BE CONT’D

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Faculty Supervisor:

Robin Milhausen

Student:

Shayna Skakoon-Sparling

Partner:

Ontario HIV Treatment Network

Discipline:

Food science

Sector:

Medical devices

University:

Program:

Accelerate

Hydrogen Storage and Fuel Cell for UAV Integration

The joint objective of the consortium is to undertake R&D necessary to produce a scalable, cost-effective combined hydrogen storage and fuel cell solution for UAV’s that addresses weight and volume and improves refueling logistics. The novel hydrogen storage system will be combined with a high-power density optimized fuel cell stack for UAV’s that integrates with the low pressure, volumetrically efficient, hydrogen storage solution.

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Faculty Supervisor:

Erik Kjeang

Student:

Adam MacIntosh

Partner:

Ballard Power Systems Inc.

Discipline:

Chemistry

Sector:

Alternative energy

University:

Program:

Accelerate

Green Chemistry for Green Solvents

A major contributor to smog formation is the release of volatile chemicals into the atmosphere which are emitted from many sources including automobile exhaust and consumer products such as paints. To combat the adverse effects smog has on air quality in North America, agencies such as Environment and Climate Change (Canada) and the Environmental Protection Agency (United States) enforce limits on the types and amounts of chemicals used in industrial applications and consumer products. Replacing chemicals that are known to contribute heavily to smog formation, with environmentally friendly chemicals are highly sought after targets. We propose to work with TBF Environmental to develop environmentally friendly alternatives, which will reduce harmful smog emissions when used in place of currently used industrial chemicals. We aim to produce environmentally friendly chemicals from renewable plant bio-mass.

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Faculty Supervisor:

Laurel Schafer

Student:

Joseph Clarkson

Partner:

TBF Environmental Technology Inc

Discipline:

Chemistry

Sector:

Alternative energy

University:

Program:

Elevate

Modelling the effects of industrial disturbance and predation risk on white-tailed deer (Odocoileus virginianus) seasonal habitat selection in the boreal forest of Alberta, Canada

My master’s project in partnership with InnoTech Alberta will be assessing potential effects of industrial activity from in-situ oil and gas extraction on carnivore and white-tailed deer populations in northeastern Alberta. Deer populations have been increasing for the past fifty years and two of the leading causes are attributed to climate change and human disturbance. Our objectives are to determine which industrial activities are important for deer populations and to provide management recommendations for the population in the interest of the protection of woodland caribou, a threatened species. Current management approaches include predator control as a method of reducing predation pressure on caribou; however, deer are the primary prey for wolves in this region and are an important management consideration for future caribou recovery strategies. InnoTech Alberta is a leader in wildlife modelling and will benefit from this partnership by providing informative results and management recommendations to funding agencies and to the Government of Alberta.

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Faculty Supervisor:

John Volpe

Student:

Siobhan Darlington

Partner:

InnoTech Alberta Inc

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

Program:

Accelerate

Vehicle Occupancy Detection using Thermal Camera and LIDAR

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology will enable the industry partner to commercialize this solution in Canada and globally for efficient and enforceable monitoring of HOV and HOT lanes. The adopters of this technology will be able to manage their road infrastructures, in particular HOV and HOT lanes, more efficiency. This will result in reduced congestion and significant environmental and economic benefits.

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Faculty Supervisor:

Robert Laganiere

Student:

Wassim El Ahmar

Partner:

Smats Traffic Solutions

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program:

Accelerate

Machine learning methods for signal classification in anti-drone technology

Drone technology has recently gained wide-scale acceptance in multiple military and commercial applications, including security surveillance and medicine delivery. In 2017 alone, the market revenue from drones is estimated to be around $6 billion. With this, there is also an emerging need for sophisticated anti-drone technology to detect rogue drones entering secure territories, such as military bases and prisons. In this project, we will design machine learning algorithms which can detect unknown drone radio signals from a mixture containing radio signals transmitted by multiple other wireless devices, including WiFi and Bluetooth. We will analyze several datasets of radio signals transmitted by popular drones in the market, so as to extract unique fingerprints hidden in the drone signals. Machine learning models will then be designed to make use of the extracted fingerprints for detecting the presence of a drone signal when a mixture of radio signals is fed as input.

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Faculty Supervisor:

Vijay Bhargava

Student:

Naga Raghavendra Surya Vara Prasad Koppisetti

Partner:

Skycope Technologies Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Development and characterization of nano-emulsification and liposomal platforms (NEP and LIP) for hemp oil nanoencapsulation and transmucosal delivery

A novel technology for delivery of biologically active compounds found in hemp oil is being developed. This novel technology significantly reduces the health risks associated with traditional administration of Cannabis products (e.g., smoking and THC-related intoxication) The proposed project, in collaboration with a federally-licensed facility for cannabinoid analysis, Abattis Bioceuticals, engages into the development of two different platforms for encapsulation of hemp oil using nanoemulsion and nanolipid carrier technologies. Two interns will be trained on different technologies related to the encapsulation of hemp oil and evaluation of in-vitro bioavailability. By the end of this project, an optimized delivery platform will be available for further in-vivo testing and clinical trials for oral delivery of CBD and other cannabinoids and terpenes. Abattis Bioceuticals expects to employ the developed technology for exploring new avenues for the safe and efficient manufacture of commercial and medical applications.

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Faculty Supervisor:

Anubhav Pratap Singh

Student:

Farahnaz Fathordoobady

Partner:

Abattis Bioceuticals

Discipline:

Food science

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Georeferencing oblique imagery for vegetation analysis

To responsibly manage forest resources in southwestern Alberta, it is important to understand the disturbance regimes they have experienced in the past, are experiencing now, and are likely to experience in the future. The Mountain Legacy Project has several thousand repeat photographs which show areas of the mountains and foothills of the Rockies a century ago and today. This project will develop methods to georectify those photographs (i.e. flatten the pictures onto a map) in order to analyze them in a spatially relevant way. Then it will be possible for the Foothills Research Institute to study the vegetation patterns in their area of interest using the photos. The interns will benefit by developing technical skills and networking beyond academia. The partner organization will benefit by having better tools to analyze a relatively untapped data set, which will help with evidence-based decision making regarding the management of the forests of southwestern Alberta.

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Faculty Supervisor:

Eric Higgs

Student:

Julie Fortin

Partner:

Foothills Research Institute

Discipline:

Environmental sciences

Sector:

Forestry

University:

Program:

Accelerate

Waste heat recovery in aluminium smelters: technical and economic analysis (part II)

Aluminium smelters are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate the solutions to recover the thermal wastes and to convert them into useful power. The feasibility of these solutions is analysed by considering technological and economic aspects: in this way, a reliable solution to improve the energy efficiency in aluminium smelter is provided.

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Faculty Supervisor:

Mikhail Sorin

Student:

Franco Cascella

Partner:

Rio Tinto Alcan

Discipline:

Engineering - mechanical

Sector:

Energy

University:

Program:

Accelerate

Perception of terrain characteristics in professional heli-ski guides

In the backcountry, the best powder skiing can be found in terrain that is susceptible to snow avalanches. Travelers are responsible for managing this threat by choosing terrain that will minimize this threat, and they must strike a balance between minimizing risk and finding an enjoyable skiing experience. Perception plays a fundamental role when selecting terrain, which means that these choices are influenced by a suite of psychological factors. This research project will utilize the experience of expert heli-ski guides to find what attributes they find attractive when choosing safe terrain for skiing. This is the first project to investigate the tacit knowledge of desirable terrain features in mountain guides. Further, it will assess for any variability in how these guides view terrain, which will significantly contribute to guiding teams’ understanding of how guides make decisions and view their surroundings. TO BE CONT’D

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Faculty Supervisor:

Pascal Haegeli

Student:

Brendan Wakefield

Partner:

HeliCat Canada

Discipline:

Environmental sciences

Sector:

Sports and recreation

University:

Program:

Accelerate

Graphene-copper coatings for enhancing dropwise condensation

During this project, with the cooperation of Concordia University which has extensive knowledge in surface coatings and NanoXplore which produces Graphene, the intern will try to apply the graphene coatings on copper substrate in order to improve heat exchange in various applications. Graphene is a type of carbon material with outstanding properties. This novel material has many potential applications that can be beneficial to various industries who seek to improve the surface properties using scalable coatings. This project will support the market expansion and adaptability of NanoXplore’s graphene products to multi-functional composite coatings specially, conductive light materials for instant commercialization.

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Faculty Supervisor:

Ali Dolatabadi

Student:

Tahmineh Forati

Partner:

NanoXplore Inc

Discipline:

Engineering - mechanical

Sector:

Nanotechnologies

University:

Program:

Accelerate

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