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

Nutrition and management strategies to improve Canadian pork production

The Canadian swine industry must adapt to current and emerging challenges to remain competitive. In general, the industry is focused on improving efficiencies and reducing costs of production. However, the industry also faces many concerns regarding environmental sustainability and societal acceptance of production that need to be continually addressed. Feed represents approximately 70% of the cost of production and plays a critical role in maintaining animal health and performance and in reducing the environmental impact of pork production. The main research projects included in this proposed program aim to identify nutrition and management strategies to improve competitiveness of Canadian pork producers.

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Faculty Supervisor:

Denise Beaulieu

Student:

Cara Cargo-Fromm

Partner:

Prairie Swine Centre Inc.

Discipline:

Animal science

Sector:

Forestry

University:

Program:

Accelerate

Scalable Secure Authentication in Mesh-enabled Networks for Smart Cities

The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical to smart city implementations, and will be investigated. We are proposing a smart city friendly complete proof-of-concept implementation.

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Faculty Supervisor:

Zeljko Zilic

Student:

Anastasios Alexandridis

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Mapping of contaminants of emerging interest in Quebec City water sources

Pharmaceuticals are important to lead the healthy life in the current world. However, continuous and huge use of these pharmaceuticals led to constant release in the environment and in particular in water sources. And also, low absorption and metabolism of pharmaceuticals in humans and animals led to their continuous entry into the environment via feces and urine. These pharmaceuticals are classified as the main class of contaminants of emerging interest (CEI). Pharmaceuticals are excreted in urine and feces in different proportions depending on the properties of the drugs either unchanged or inactive forms. Hence, most of the residual pharmaceuticals end up in wastewater (sewers and septic installations). Inefficient capacity or aging of wastewater treatment plants and septic installations might be a major source for the release of these CEI into the surface water and groundwater. Wastewater effluent release into surface water (rivers or lakes) also contribute the contamination.TO BE CONT’D

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Faculty Supervisor:

Manuel Rodriguez

Student:

RAMA PULICHARLA

Partner:

Association pour la protection de l'environnement du Lac St-Charles et des Marais du Nord

Discipline:

Environmental sciences

Sector:

Natural resources

University:

Program:

Accelerate

Economic Impact of Tourism in Kingston

At this juncture, much data on tourism in Kingston has been collected. However, no appropriate statistical method and analysis has been implemented yet to understand these data. The current project thus aims to create a benchmark for tourism data for Kingston by adopting various modelling techniques (e.g., Hierarchical Linear Modelling (Gelman, 2007), Multilevel Modeling (Green and Salkind, 2003), Regression, and Correlational analysis) to better understand and interpret these data. In addition, the City of Kingston and many organizations have just embarked on a 5-year tourism/destination strategic planning exercise and thus, our current project is looking to establish industry led, market driven and research-based data in Kingston that addresses what metrics might matter the most. As such, in the current project, we are aiming to seek for the appropriate statistical tool for the consolidation of data collection, and the appropriate overall process should be for analyzing the data.

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Faculty Supervisor:

Li-Jun Ji

Student:

Zhi Ao Khei

Partner:

Kingston Accommodation Partners Inc

Discipline:

Psychology

Sector:

Sports and recreation

University:

Program:

Accelerate

Image Analysis Techniques for Digital Pathology

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and subjective manual analysis approaches. In Canada, breast cancer is the 2nd cause of cancer death. With digital pathology, image analysis solutions can be developed to efficiently summarize a large number of breast cancer pathology images with quantitative, reliable measures of disease which may be correlated with other clinical variables to further understanding of progression, etiology and therapeutic response. To score and grade the images, it is important to detect the nuclei and measure various nuclear properties. TO BE CONT’D

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Faculty Supervisor:

April Khademi

Student:

Justin Pontalba

Partner:

Pathcore Inc

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

Program:

Accelerate

Investigation of New Gelation Agents

This project involves the synthesis, characterization and evaluation of new low-molecular weight gelators for cleaning up oil spills. First responders to oil spills can add these gelators to the oil / water mixture to prevent spreading of the oil before additional resources are available to clean up the spill. This project will involve collaboration with BCResearch, a company located in the Lower Mainland of BC.

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Faculty Supervisor:

Mark MacLachlan

Student:

Jeanette Loos

Partner:

BC Research Inc

Discipline:

Chemistry

Sector:

Nanotechnologies

University:

Program:

Accelerate

Machine learning approaches for event prediction, relation modeling, and inference

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will develop methods based on the point process framework. We will develop novel models for learning the temporal distribution of human activities in streaming data (e.g., videos and person trajectories). Methods based on an integrated framework of neural networks and temporal point processes will be considered. For the problem of modeling relationships, we will build relational representations of entities, given graph structures describing potential interactions. Both supervised and unsupervised learning paradigms can be potentially utilized. Finally, we consider inference techniques for structured random variable spaces using deep learning approaches. TO BE CONT’D

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Faculty Supervisor:

Fred Popowich

Student:

Thibaut Durand

Partner:

Borealis AI

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Patient Privacy Preservation through Federation or Encryption? A Comparative review and prototypes

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more AI based applications are being deployed to learn from personal data, privacy concerns are rising, and more specifically on sensible domains like medicine, finance or mobile related data. With the ubiquitous availability of cloud-based solutions at a very low price, privacy has now become even more sensitive. Moreover, privacy concerns seem to be two sided, as service providers would like to keep their models and learned weights private.
This research will focus on studying available solutions for privacy preservation in the context of medical data, and more specifically on volumes obtained from CT scans.

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Faculty Supervisor:

Marta Kirsten Oertel

Student:

Jonatan Reyes

Partner:

Imagia Cybernetics Inc

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

Package Delivery Robot Interface Research and Development

Postmates has a successful software business in numerous cities in the short-distance package delivery business, matching the vendor (for example, a restaurant, shop or other retail business) with the recipient of a package (for example, groceries, a hot meal, or an envelope), and then contracting with individual couriers (in cars, bikes or on foot) in urban areas to make the deliveries. Postmates would like to extend this software business to include stroller-sized package delivery robotic rovers that would drive on sidewalks at pedestrian speeds to automatically get and deliver packages. This grant with the UBC CARIS Lab will help Postmates explore how sidewalk rovers interact with pedestrians and Postmates users.

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Faculty Supervisor:

Hendrik Van der Loos

Student:

Wesley Chan

Partner:

Postmates

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Accelerate

Early stage detection of ovarian cancer

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, f rom growing. This will initially involve in vitro testing using a flow-through model to simulate blood flow, monitoring first static and then dynamic microbe growth using fluorescence microscopy. In vivo testing will follow using rats as a preclinical m

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Faculty Supervisor:

Benjamin Hatton

Student:

Niall Crawley

Partner:

Econous Systems Inc

Discipline:

Engineering

Sector:

Life sciences

University:

Program:

Accelerate

Dietary costs and benefits of lakeshore vs aggregate pit breeding in Bank Swallows (Riparia riparia)

Bank Swallows (Riparia riparia), a threatened species in Ontario, breed primarily in either banks at lakeshores or at exposed surfaces in man-made aggregate pits that occur with and without waterbodies. Pits are suspected to be ecological traps for this species but the relative trade-offs in nesting at pits vs. natural sites are poorly known. Availability of aquatic emergent insects is expected to be highest at lakeshore colonies with associated nutritional benefits including Omega-3 fatty acids. However, Bank Swallows may experience differential mercury exposure depending on habitat use. Potential difference in dietary quality among sites may directly influence juvenile body condition. This study seeks to compare these breeding habitats to evaluate dietary differences. This information will be important for management decisions related to the use of pits by this species and conservation of suitable nesting habitats.

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Faculty Supervisor:

Keith Hobson

Student:

Corrine Genier

Partner:

Bird Studies Canada

Discipline:

Biology

Sector:

Life sciences

University:

Program:

Accelerate

Development and Study of Ingrown Hair Treatments Part. 2

The 21st century has witnessed an increased prevalence of men and women removing unwanted body hair for cosmetic, social, cultural, or medical reasons. When not done properly, the removal of unwanted hair can lead to injuries to the skin and can cause ingrown hairs, also known as razor bumps. The prevention of ingrown hairs is highly dependent on utilizing post-hair removal treatments (e.g. after shave) and exfoliants; however, many products on the market contain high concentrations of ethanol or isopropanol, resins, or other harsh chemicals that can strip the skin of its natural oils, resulting in skin irritations, burning sensations, pH imbalance, and lacerations that can lead to severe skin infections. In this new proposal, we hope to continue our collaboration with Sugar & Co. for the development of a post-hair removal treatment and ingrown hair treatment. TO BE CONT’D

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Faculty Supervisor:

Michael Kerr

Student:

Joanne Curiel Tejeda

Partner:

Sugar and Company Inc

Discipline:

Chemistry

Sector:

Advanced manufacturing

University:

Program:

Accelerate

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