Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Influence de la diversité structurelle des vieilles forêts sur les communautés ornithologiques boréales

Maintenir des surfaces vieilles forêts suffisantes au sein des territoires aménagés est désormais un enjeu majeur de gestion forestière au Canada. Peu de connaissances sont actuellement disponibles sur l’importance de la diversité interne d’habitat que l’on trouve au sein des vieilles forêts pour la biodiversité qui leur est associée. L’objectif de ce projet vise donc à comprendre comment la diversité structurelle interne des vieilles forêts influe sur la présence d’oiseaux boréaux. Le territoire d’étude prend place au sein du Parc Naturel National des Monts-Valin. Les résultats de ce projet permettront au parc de mieux comprendre la valeur écologique des vieilles forêts situées en son sein, lui donnant un statut de référence écologique pour de futures stratégies de conservation des territoires alentours. Plus globalement, l’amélioration des connaissances quant aux habitats fournis par les vieilles forêts contribuera au développement de stratégie d’aménagement écosystémique capables de conserver les fonctions écologiques des paysages préindustriels.

View Full Project Description
Faculty Supervisor:

Jacques Ibarzabal;Maxence Martin

Student:

Partner:

Société des établissements de plein air du Québec

Discipline:

Life Sciences

Sector:

Agriculture; Arts, entertainment and recreation; Management of companies and enterprises; Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Identifying local factors and sources affecting stream chloride concentrations in the Toronto Region

The proposed research will identify the dominant drivers of rising chloride concentrations in streams within the Toronto and Region Conservation Authority (TRCA) jurisdiction. The TRCA monitors stream water quality at 47 stations and data suggest that chloride concentrations are increasing. Previous research has identified urban growth and the subsequent application of road salt in wintertime as a dominant driver of these trends. However, chloride concentrations are increasing in rural, urbanizing and heavily urbanized TRCA watersheds suggesting that changes in chloride sources and/or weather patterns may also be factors to consider. The intern will investigate these potential drivers by: (1) identifying changes in chloride sources in streams and (2) assessing if weather patterns have changed over time and subsequently influenced road salt application patterns. This project will benefit the TRCA by determining why chloride concentrations are increasing and providing valuable information to direct management and mitigation of chloride pollution.

View Full Project Description
Faculty Supervisor:

Claire Oswald

Student:

Partner:

Toronto and Region Conservation Authority

Discipline:

Earth science

Sector:

Arts, entertainment and recreation; Professional, scientific and technical services; Public administration

University:

Toronto Metropolitan University

Program:

Accelerate

Development of a Bike Anti-theft Device Based on GSM and GPS Technology

An embedded electronic system with GPS and GSM modules and a unique power supply will be developed for installation on a bike frame which cannot be tampered with. The system will allow the owner to receive notifications of a theft and to track the bike’s movement and location. This information can be passed to the authorities for apprehending the thief. The goal is to manufacture such as device as an OEM and supply it to bicycle manufacturers as an anti-theft device. The market for such devices is wide open for, but not limited to, high-end specialty bikes such as mountain, road, and trail bikes

View Full Project Description
Faculty Supervisor:

Mehrdad Moallem

Student:

Partner:

Goalcam Technologies Ltd

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

A Research on Sensitivity Improvement and Performance Amplification of Biosensors Using Nanopores, Remote Doping and Multiple Logic Circuit Device Structures

The main goal of the proposed project is to implement a high-sensitivity biosensor by using nanomaterials. We aim to address the current issues in biosensor technology and lead the innovative role of the international community through exchanges and cooperation between Canadian and Korean researchers. In order to achieve goals, high-quality semiconductor thin-film deposition technology over a large area and performance-enhancing technologies such as remote doping, nanopore formation, and multi-valued circuit design are required. As prof. Gupta’s research team in Canada is intensively developing technologies of the large-area deposition of organic semiconductors and 2D TMD thin-films using 3D printing and PLD and prof. Yoo’s research team in Korea is actively conducting research on realizing high-performance sensors by controlling the properties of next-generation materials, through this project, it is expected that the technological convergence of the two research teams will complement each other and create high synergy on advanced biosensor development.

View Full Project Description
Faculty Supervisor:

Manisha Gupta

Student:

Partner:

Gachon University

Discipline:

Engineering

Sector:

Nanotechnology; Biotechnology; Information and Communications Technology

University:

University of Alberta

Program:

Globalink Research Award

Health Behavior and Population Health in the Era of Climate Change

Climate change is closely tied with human behaviors and health. With continuous industrialization and technological advances, modern people are living unimaginable prosperous lives. However, their increased greed leads to enormous environmental destruction, such as the indiscriminate consumption of air conditioners and disposable products, and short-distance driving. Air pollution has a bilateral relationship with climate change, which causes 7 million premature deaths per year. In the past two years, positive environmental changes have been reported as the COVID-19 pandemic halted human movement. This evidence requires us to adopt inclusive health behaviors with special attention toward environmental impacts. In this context, we will investigate the association between climate change and pro-environmental behavior (PEB), using Canadian and South Korean data. Additionally, we plan to compare recent data with previously collected data prior to the emergence of the COVID-19 to detect whether and how the pandemic had impacted PEB.

View Full Project Description
Faculty Supervisor:

Eun-Young Lee

Student:

Partner:

Seoul National University

Discipline:

Sociology

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

Shape dependence of THz metasurface and its applications

THz waves are receiving great attention in, for example, medical imaging as well as 6G communication. Basic research using THz waves for such applications is being actively conducted. However, since the commercially available THz components are still bulky and difficult to use, the need for a compact THz system has been growing. In this context, metasurfaces facilitating high transmission and full phase control have great potential. This project aims to find and verify optimized metasurface designs for beam focusing and generation of structured THz light carrying orbital angular momentum, by quantitatively evaluating the optical properties of a large set of metasurface shapes. Eventually, we envision that the outcome of this project can contribute to the development of a compact THz system for a wide range of industrial applications.

View Full Project Description
Faculty Supervisor:

Luca Razzari

Student:

Partner:

Dankook University

Discipline:

Physics

Sector:

Nanotechnology; Information and Communications Technology; Health and Related Sciences & Technology

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Globalink Research Award

Data Structures for Range Closest Pair Queries

The objective of this project is to construct optimal data structures for the range closest pair (RCP) problem. The RCP problem aims to construct a data structure such that whenever a specific query range is given, the closest point-pair among those inside the given range can be reported efficiently. The RCP problem has been studied in variant versions depending on the type of a query range, which includes quadrants, trips, rectangles, and half-planes. Despite of the significant interest for the RCP problem, some variants remain open waiting for optimal solutions. For example, the best-known solutions of the RCP problem for rectangle and strip query ranges are not optimal. In the age of large information, the importance of the RCP problem is increasing in the sense that it is the fundamental algorithm to find a required data efficiently from an enormous dataset, especially focusing on a specific range of our interest.

View Full Project Description
Faculty Supervisor:

Michiel Smid

Student:

Partner:

Pohang University of Science and Technology

Discipline:

Computer science

Sector:

Information and Communications Technology; Artificial Intelligence

University:

Carleton University

Program:

Globalink Research Award

Development of hybrid inorganic materials for green urea oxidation and hydrogen production

The main goal of this study is to develop a catalyst capable of producing hydrogen through urea oxidation. By synthesizing and modifying various metal nanoparticles, a layered double hydroxide structure will be synthesized, and electrochemical measurements will be made. Through this study, laboratories of both countries will find a new way to cooperate to produce green hydrogen energy.

View Full Project Description
Faculty Supervisor:

Anna Klinkova

Student:

Partner:

Gyeongsang National University

Discipline:

Physics

Sector:

Nanotechnology; Green/Alternative Energy; Sustainability & the Environment

University:

University of Waterloo

Program:

Globalink Research Award

Catalytic Dry Reforming of Methane: Simultaneous Reducing GHGs emission and Producing Hydrogen

The mitigation and utilization of greenhouse gases, such as carbon dioxide (CO2) and methane (CH4), are current global challenges. To date, there have been many attempts to reduce CO2 and CH4 with dry methane reforming methane (DMR), an eco-friendly technology that utilize CH4 and CO2 into syngas (H2 and CO). The main issue that needs to be addressed for commercial DRM processes is catalyst deactivation by carbon deposition and sintering of active metal. Therefore, the aim of this project is to improve non-PGM based catalysts for DMR. Specifically, the expected properties of advanced non-PGM catalysts are a high durability to catalytic deactivation via carbon deposition and poisoning. Their intrinsic nature in performance and long-term stability will be achieved by catalyst characterization for reducibility, particle size, porosity, and surface area.

View Full Project Description
Faculty Supervisor:

Melanie Hazlett

Student:

Partner:

Gwangju Institute of Science and Technology

Discipline:

Engineering

Sector:

Energy and Utilities; Environmental Science and Technology; Nanotechnology

University:

Concordia University

Program:

Globalink Research Award

Validation of physics-based response prediction using deep learning

Infrastructures including buildings and bridges show dynamic behaviors due to earthquakes, wind loads, and etc. The excessive dynamic response sometimes leads to structural failure. Therefore, accurate prediction method of the dynamic response for the structures is required to secure the safety the structures. A neural network augmented physics (NNAP) model which is based on deep learning was proposed as an accurate response prediction method for the MDOF structures subjected to dynamic loads. NNAP model complements the conventional numerical model by adding an output of the neural network inside an ordinary differential equation (ODE). The main objective of this project is to validate the deep learning algorithm which predicts the dynamic response of MDOF structures using a hybrid simulation test result. After the test, the proposed method is expected to become more advanced by the collaborative study with Professor Song and Professor Kwon.

View Full Project Description
Faculty Supervisor:

Oh-Sung Kwon

Student:

Partner:

Seoul National University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Analysis of the reverse trip directions of overnight workers from smart card data

Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel based on analyzing smart card data. The research explores individuals’ smart card data, covering about thirteen million peoples’ usages in Seoul, South Korea. We will analyze the frequency of trips, the average duration of work hours, work hours deviation and arrival time at work regularity to create criteria to find overnight workers’ trips. This data could help transit authorities to offer enhanced transit services by improving the frequency and span of service at midnight.

View Full Project Description
Faculty Supervisor:

Yong Hoon Kim

Student:

Partner:

University of Seoul

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Public Service, Policy, and Governance; Information and Communications Technology

University:

University of Windsor

Program:

Globalink Research Award

Biodegradation of Bio-sourced Organic Electronic Materials

Although Electronic waste (E-waste) is steadily increasing due to the use of electronic devices worldwide, it is not being properly disposed of. The incineration or landfill disposal of e-waste causes serious environmental problems and affects human health.
Eco-friendly organic electronic materials (OEMs) are attracting attention as a sustainable alternatives for conventional electronic materials. Particularly, the introduction of biodegradable and bio-sourced organic electronic materials can alleviate the environmental impact of the electronic industry and reduce environmental pollution. In addition, the development of electronic materials based on biological resources abundant in nature can contribute to solving the problem of resource depletion of resources required for electronic products. However, the principle of biodegradation of OEMs has not been elucidated yet.
In this project, the principle of biodegradation through micro-separation OEMs will be intensively studied, and the supramolecular structure will be controlled to develop electronic organic materials with high biodegradability. We will focus on eumelanin pigment, a rich biological resource among electronic organic materials, which is a bio-based organic electronic material candidate for eco-friendly electronic products.

View Full Project Description
Faculty Supervisor:

Clara Santato

Student:

Partner:

Korea Advanced Institute of Science and Technology

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment; Other

University:

Polytechnique Montréal

Program:

Globalink Research Award

Previous
1…1,1581,1591,1601,1611,1621,1631,164…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe