Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Reinforcement-GAN for Network Intrusion Detection

Network intrusion detection systems play a crucial role in computer networks defense. However, most of the existing solutions do not take into account the time-evolving component of the attacks. Attackers are constantly changing the intrusion methods which becomes a serious threat and requires the development of adaptive methods that can cope with these modifications. Moreover, the lack of labeled data or the delay in obtaining labels is also an important challenge.
We propose a system, Reinforcement-GAN, that is able to adapt to new network intrusion methods by incorporating reinforcement learning and generative adversarial networks (GANs). Our system takes advantage of reinforcement learning techniques for allowing the development of a more adaptive model building while utilizing GANs to improve its detection accuracy. Our system follows a semi-supervised method that integrates a self-learning approach while updating the model training with labeled data as it becomes available.

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Faculty Supervisor:

Paula Branco

Student:

Partner:

Tecnologico de Monterrey, Campus Toluca

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology

University:

University of Ottawa

Program:

Globalink Research Award

Scaling up a national program to improve hospital nutrition care in line with the new Canadian malnutrition standard

The Canadian Nutrition Society is Canada’s leading society for nutrition professionals. As a Fellow, I will work with the Canadian Malnutrition Taskforce—CNS’ flagship initiative—to support integration of a new malnutrition care standard in Canadian hospitals. Advancing Malnutrition Care (AMC) was designed to bring best practices from this standard to hospitals across the country. The aim of my project is to lead the spreading and scaling of the AMC program with focus on capacity-building within the Canadian health system. My roles include: 1) Building regional mentor and hospital champion capacity to support implementation of best practices in malnutrition care; 2) Understanding mentor and champion experiences to learn of barriers and opportunities they face; 3) Monitoring hospital-level progress and corresponding impacts of implementing best practices; 4) Planning knowledge mobilization and assessing sustainability. This work will be used to improve the AMC initiative and has the potential to improve hospital nutrition care across Canada.

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Faculty Supervisor:

Heather Keller

Student:

Partner:

Canadian Nutrition Society

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Waterloo

Program:

Elevate

Vibration inspection optimization for rotating assets in the Hinton Pulp mill

Inspections are carried out on machinery equipment to evaluate the equipment condition and to take necessary maintenance actions to prevent failures. Hinton Pulp, a Division of West Fraser mills have a 30-day inspection interval for vibration inspections on rotating assets. The fixed inspection interval adopted by the Hinton Pulp for vibration inspections are not effective enough to prevent the failures on critical and aging assets. Therefore, there is a definite need to study the vibration inspection intervals to better prevent the failures and achieve the desired reliability of equipment at Hinton Pulp. This study aims at developing optimal vibration inspection intervals for rotating assets at Hinton Pulp mill. Through this research project, an inspection interval optimization model will be developed. The inspection optimization model is expected to reduce the overall operation and maintenance costs of the assets at Hinton Pulp while maintaining the desired reliability.

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Faculty Supervisor:

Zhigang Tian

Student:

Partner:

West Fraser Timber Company (Hinton, AB)

Discipline:

Engineering

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Evaluating the efficacy of a 60-day emotion regulation self-care journal

How we manage our emotions, also known as emotion regulation, is important and helpful in dealing with everyday stressors, our professional and interpersonal relationships, and our relationship with ourselves. Poor emotion regulation can leave us feeling frustrated for longer periods of time than we need to or even cause angry outbursts at inappropriate times. There has been a recent surge in the popularity of health-promotive self-care products, or products aimed at providing individuals with “the knowledge, skills, and attitudes required to achieve and maintain good health”. However, there has not yet been a self-care journal aimed at improving emotion regulation. The purpose of this project is to evaluate the effectiveness of a 60-day emotion regulation journal for improving emotion regulation, mental health, and overall well-being. By the end of this project, Switch Research will receive a detailed report and academic manuscript prepared for peer-reviewed publication, both outlining the efficacy of their product.

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Faculty Supervisor:

Ryan Rhodes

Student:

Partner:

Switch Research

Discipline:

Sociology

Sector:

Retail trade

University:

University of Victoria

Program:

Accelerate

Supporting cross-scalar environmental governance

Effective mechanisms for bridging global environmental governance institutions where decision-making and governance principles are established with the experiences, knowledge, and worldviews of local peoples, communities, and conservation practitioners are increasingly necessary. Large-scale planning initiatives for conservation and mitigating climate change are cross-scalar endeavors. Therefore there is a critical need for governance mechanisms that effectively decentralize decision-making and respect the diversity of experiences, worldviews, ontologies, and epistemologies. This project aims to support equitable and effective environmental and natural resource governance and generate knowledge about inclusive, impactful learning by supporting interdisciplinary academic research relating to a partnership of governance actors (i.e., individuals and/or organizations involved in governance). The research will involve reviews of current governance approaches at various scales (i.e., local, national, regional, international), will consider how such governance approaches affect communities, especially in the context of climate change and will work towards developing tools (i.e., online portal) to support learning and equity among governance actors involved in our work.

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Faculty Supervisor:

Melanie Zurba

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Sociology

Sector:

Sustainability & the Environment; Public Service, Policy, and Governance; Natural Resources

University:

Dalhousie University

Program:

Globalink Research Award

Artificial intelligence-powered approach for strategic pharmaceutical portfolio management based on a priori estimation of clinical trial success evolution

Drug development process is time consuming, expensive, complex and highly risky. The nature of risk in this industry is multidimensional. One important dimension involves clinical development since late-stage development failures are the costliest. If pharmacological efficacy and safety remain well-known failure factors, the literature abounds on a multitude of important failure risk factors of a strategic, operational and commercial nature. In addition to being difficult for humans to control, the decisions associated with these risk factors are major contributors to failure in late stages. Less than 10% of potential medicines that start a Phase I will eventually enter the market and not all marketed drugs will generate revenues that match or exceed R&D costs. Solving this problem requires the development of efficient portfolio management approaches. AI offers capability to streamline late-stages drug development by enabling intelligent control of the multitude of avoidable strategic, commercial and operational risk factors for failure.

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Faculty Supervisor:

Catherine Beauchemin

Student:

Partner:

Sorintellis

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Generative FlowNets for Material Physics Discovery

In many real world problems, the design process involves iterative steps with generation of candidates and evaluation of these generated candidates to evaluate their utility for the relevant task. This evaluation can be done with say expensive wet lab experiments or some computational oracles. We might want to make the best use of both of these evaluations. So ideally, during generation we would like to jointly generate the candidate as well as the fidelity of the oracle to evaluate the candidate with.
GFlowNets is a neural net that models distributions over data structures like graphs, to sample from them as well as to estimate all kinds of probabilistic quantities (like free energies, conditional probabilities on arbitrary subsets of variables, or partition functions) which otherwise look intractable.
Nikita’s project aims to extend the applications of GFlowNets in the context of material discovery, tparticularly new solid-state superionic conductors. The project focuses on exploring multi-fidelity active learning, in which at each step of an optimization algorithm, the model selects both a candidate and the precision level of the oracle from which obtaining the annotation of the candidate.

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Faculty Supervisor:

Yoshua Bengio

Student:

Partner:

Birla Institute of Technology and Science, Pilani

Discipline:

Computer science

Sector:

Artificial Intelligence; Life Sciences (not health); Green/Alternative Energy

University:

Université de Montréal

Program:

Globalink Research Award

Effects of black carbon and biochar coated urea on greenhouse gas emissions

Chemical nitrogen fertilizers applied to the soil are easily lost, reducing crop nitrogen use efficiency (NUE). The loss of fertilizer nitrogen will also result in nitrate contamination of surface water and emission of nitrous oxide to the atmosphere. Western Ag has developed a coating technique where a powder form of black carbon (produced through the pyrolysis of used tire rubber) is used to coat regular urea to slow down the release of nitrogen and reduce nitrogen loss. The pyrolysis of agricultural biomass can produce a cheaper form of black carbon (called biochar). We will test the use of black carbon and biochar to coat urea. We will then study the effects on the release of greenhouse gases, with a focus on nitrous oxide, when the coated urea is applied to the soil in a laboratory incubation experiment. The results will help the industry partner to refine the urea coating technology to maximize the reduction in greenhouse gas emissions.

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Faculty Supervisor:

Scott Chang

Student:

Partner:

Western Ag Innovations Inc.

Discipline:

Earth science

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Study of a electron impact ion source for MR-TOF-MS

The precise mass measurement of exotic nuclei is of special significance to the understanding of the nuclear shell structure and paving the way to shed light on how the heavy elements in universe were made from iron. A Multiple-Reflection Time-Of-Flight Mass Spectrometry has been developed at the Justus Liebig University Giessen in Germany and installed recently at TITAN, to operate as a high-accuracy mass spectrometer and high-resolution isobar separator. To realize high-accuracy mass measurements, calibrants over a broad mass range for calibration and systematic studies of the MR-TOF-MS are essential. The thermal ionization ion sources installed at TITAN can ionize only a limited range of elements now, and it is essential to install a new ion source that can provide a wide mass range of ions for optimization and calibration of the MR-TOF-MS. An electron impact source that satisfies the requirements to ionize a large variety of atoms and small molecules will be studied within this program.

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Faculty Supervisor:

Anna Kwiatkowski

Student:

Partner:

GSI Helmholtzzentrum für Schwerionenforschung

Discipline:

Engineering

Sector:

Technology; Advanced Manufacturing; Other

University:

TRIUMF INC.

Program:

Globalink Research Award

Charge mentale domestique et conciliation de la vie professionnelle et personnelle : un état des lieux

L’objectif de cet article est de réaliser une étude de la littérature sur la conciliation de la vie professionnelle et personnelle en entrepreneuriat afin de mettre en évidence les limites conceptuelles, de comprendre comment la charge mentale domestique s’intègre dans cette littérature et d’élaborer un agenda de recherche. La littérature sur la conciliation en entrepreneuriat repose majoritairement sur des cadres théoriques de la conciliation développée en fonction de la réalité des travailleurs salariés, ne permettant pas de comprendre toutes les spécificités de l’activité entrepreneuriale. De plus, la charge mentale domestique étant un concept peu développé dans la littérature scientifique, il semble fondamental de comprendre son intégration dans la littérature sur la conciliation et d’un élaborer un agenda de recherche dans le but de guider les futures recherches sur le sujet. Cet article permettra de mettre en évidence les lacunes de la littérature actuelle, l’importance de la prise en considération de la charge mentale domestique et de l’interaction des différentes sphères de la vie dans les études sur le marché du travail ainsi que l’importance du rôle des différents acteurs dans la réduction des inégalités de genre tant dans la sphère professionnelle que personnelle.

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Faculty Supervisor:

Emilie Genin

Student:

Partner:

University of Manchester

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Computer Vision for Estrus and Birthing Detection

OneCup uses Computer Vision to uniquely identify livestock and wildlife from almost any angle, effectively Face ID for animals, called 360 Live ID. We then track health, growth, activity, nutrition, and phenotypes with the ID. It is a revolutionary idea that will disrupt the agricultural industry. We call our AI for cattle BETSY, or Bovine Expert Tracking and Surveillance.
In this research project, we will expand BETSY’s functionality. The two researchers will develop and create the behaviour classification models for early detection of estrus as well as labour, birth and maternal bonding in cattle and horses.

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Faculty Supervisor:

Yuri R. Montanholi

Student:

Partner:

Onecup AI

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Lakeland College

Program:

Accelerate

Junior Software Developer (DevOps Project)

Binary Stream Software is Microsoft Gold Certified ISV. We work with Microsoft ERP solutions on three platforms, Great Plains, Dynamics 365 Business Central, and Dynamics 365 Finance & Operations. Microsoft is evolving ERP and adding a lot more tools and technologies to help with ERP workflow and reporting. The new technologies such as power platform, Artificial Intelligence, Internet of things (IoT), Dev Ops, and Power Business Intelligence reporting. At Binary Stream we need to evolve our products so these products can work with these new technologies/tools. But we don’t have enough information and knowledge about these technologies/tools. This R&D project will help to explore these technologies/tools and see how we can leverage it for our products. The outcome of the project will be coming up with working prototypes for these technologies/tools with our products and documenting the research.
Gaps covered by the research: The research will open up the integration of Binary Stream products to the new technologies such as Power automate which will allow expanding of products to do following:
1. Business intelligence reporting
2. Flows
3. Business process improvement through Artificial intelligence data models
4. Centralize the development processes for Binary Stream Software

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Faculty Supervisor:

Padmapriya Arasanipalai Kandhadai

Student:

Partner:

Binary Stream Software Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Douglas College

Program:

Business Strategy Internship

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