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

AI-Powered Course and Lesson Generation Platform

Our project aims to transform real estate training through an innovative AI-powered platform that generates customized course outlines and lessons. Designed for real estate teams and brokerages, this platform enables team leads to prompt AI for training material tailored to specific skills and market demands. By incorporating BASL’s data on team insights and real-world examples, our solution ensures agents receive relevant, on-demand training. The platform will also feature a conversational AI module, simulating client interactions for practical, scenario-based learning, enhancing agents’ readiness for real-world challenges.

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Faculty Supervisor:

Krislynn McKinlay

Student:

Partner:

BASL Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Mohawk College of Applied Arts and Technology

Program:

Business Strategy Internship

Professional Networking and and Intelligent Referral System for the Real Estate Industry

Our project aims to revolutionize real estate networking by creating a professional platform exclusively for realtors across Canada and the United States. This dedicated space allows realtors to build their brand, showcase testimonials, and facilitate trusted referrals with fellow agents. Functioning similarly to LinkedIn but specifically designed for real estate, this platform empowers agents to establish a network of trusted connections for referrals across cities, strengthening collaboration and enhancing client satisfaction.

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Faculty Supervisor:

Krislynn McKinlay

Student:

Partner:

BASL Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Mohawk College of Applied Arts and Technology

Program:

Business Strategy Internship

Developing diffusion models for wind downscaling

This research project aims to develop a ready-to-use model for predicting detailed wind patterns at wind farms to help the industry better plan turbine placements and forecast energy output. Wind speed data is usually available at a large, low-detail scale, which makes it hard to predict specific site conditions accurately. Generating high-resolution wind data using physical models is accurate but is not always practical due to high financial cost, while simpler approaches can lack accuracy. Our project will develop a model by using advanced machine learning models, particularly diffusion models, trained on high-quality simulated data. This approach will make it easier and cheaper to produce detailed wind data at a finer scale. The intern will work on developing these models by including relevant weather variables, using advanced metrics to ensure accuracy, and testing the models’ ability to generate realistic wind patterns.

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Faculty Supervisor:

Adam Monahan;Slim Ibrahim

Student:

Partner:

Veer Renewables

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Controlled Self-Injection Techniques for Enhanced Laser Dynamics in Silicon Photonic Systems

The growing demand for high-performance computing (HPC), artificial intelligence (AI), and cloud applications is pushing traditional semiconductor technologies to their limits. This project advances silicon photonics, which uses light for faster, more efficient, and scalable data transmission, making it critical for next-generation computing and communication systems.
Focusing on hybrid quantum light sources and nonlinear optical materials, the research aims to stabilize laser systems against destabilizing optical feedback. Specialized electro-optical circuits ensure reliable single-wavelength laser operation, vital for optical communication and quantum technologies.
Photonic Wire Bonding (PWB) is a key innovation, a precise, scalable method connecting optical components with polymer waveguides. This approach supports customized laser sources for data centers and quantum computing applications.
Conducted at the University of British Columbia, the project drives advancements in energy-efficient data transmission, reduced thermal loads, and reliable system performance. It bridges theoretical and practical breakthroughs while fostering collaboration between Taiwan’s semiconductor expertise and Canada’s cutting-edge research facilities. This work marks a step toward the widespread adoption of silicon photonics in HPC, AI, and quantum systems, enhancing innovation and international cooperation.

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Faculty Supervisor:

Lukas Chrostowski

Student:

Partner:

National Cheng Kung University

Discipline:

Engineering

Sector:

Advanced Manufacturing; Nanotechnology; Technology; Quantum Science

University:

The University of British Columbia

Program:

Globalink Research Award

Study of the Large Passive Deformation of a Slender Flexible Wing Using Continuation Techniques

The performance and stability of flexible mechanical structures in fluid flow can be improved by imposing bending-torsion coupling. In these structures, a bending deformation induces a torsional deformation which can be beneficial for the performance and stability. For instance, flexible wings can be tailored in such a way to have large deformations and twist passively to decrease the angle of attack and the structural loading. To evaluate the performance of a flexible wing with bending-torsion coupling, the wing is modeled as a slender rod with wing cross section using Kirchhoff’s rod theory. A semi-empirical drag formulation is also used to evaluate the fluid loading. The governing equations are solved with continuation methods using existing software packages such as MANLAB or AUTO to investigate on the existence of the bifurcation and structural divergence. In addition, the aerodynamic performance of a flexible wing with large deformations is studied. The results of this project are presented as a journal paper and a seminar.

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Faculty Supervisor:

Frederick Gosselin

Student:

Partner:

Université Pierre et Marie Curie

Discipline:

Engineering

Sector:

Education

University:

École Polytechnique de Montréal

Program:

Globalink Research Award

Exploring Shape Changing Interfaces for Geospatial and Migration Datasets

This project aims to design and evaluate shape-changing interfaces to facilitate the understanding of complex geospatial and migration datasets. Prior solutions offer a static or screen-based visualization that often fails to convey the multidimensional nature of these datasets in an engaging manner that, in turn, limits the users’ ability to navigate dynamic and contextual information effectively. We plan to build tactile and shape-changing interfaces that can physically represent data dimensions, such as migration flows, population density, and spatial-temporal factors, to offer an interactive experience to enhance users’ perception and comprehension of the data. Borrowing knowledge from prior research within the field of human-computer interaction and tangible interfaces, this project will create prototypes and conduct user studies to assess the efficacy of these novel interfaces in making geospatial and migration datasets more accessible and meaningful to potential users, including researchers and policymakers.

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Faculty Supervisor:

Ali Mazalek

Student:

Partner:

University of Technology Sydney

Discipline:

Computer science

Sector:

Education

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Evaluation of anti-invasive and anti-migratory effects of kaempferol and docetaxel co-treatment via modulation of drug metabolising enzymes in 2D and 3Dbreast cancer models.

Docetaxel is a key chemotherapeutic agent for treating locally advanced or metastatic breast cancer, but its effectiveness is often hindered by metabolic inactivation from drug-metabolizing enzymes, leading to multidrug resistance (MDR). This study aims to investigate the anti-metastatic effects of combining kaempferol, a flavonoid known for its anticancer properties, with docetaxel in both 2D and 3D breast cancer models. It will explore the potential drug-drug interactions and physiological toxicity through in silico studies, alongside in vitro assessments of how the combination affects CYP450 enzymes. Cytotoxic effects of kaempferol, docetaxel, and their combination will be evaluated using viability assays and the effect of the combination will further be analyzed using Combenefit and CompuSyn software. The research will also assess how this combination impacts hepatic clearance, metabolism, and efflux of docetaxel using liver models (S9 fractions and human liver micrrosomes) and Multidrug resistance kits. The effect of the combination on metastatic processes in breast cancer models will be assessed using cell migration and invasion assays. In conclusion, the study aims to clarify the mechanisms behind kaempferol’s effects and its combination with docetaxel in combating breast cancer, and effect of kaempferol on the metabolic inactivation of docetaxel.

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Faculty Supervisor:

Juliet Daniel

Student:

Partner:

University of Limpopo

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

McMaster University

Program:

Globalink Research Award

Leveraging artificial intelligence in material discovery: data extraction and material generation

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Bang Liu

Student:

Partner:

Chemia Discovery Inc

Discipline:

Computer science

Sector:

Clean Technology; Artificial Intelligence

University:

Université de Montréal

Program:

Accelerate

Conformal Cooling For Injection Molding Seatbelt Components

Investigate methods of obtaining conformal cooling on existing injection molded seat belt components to achieve manufacturing cycle time reduction.

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Faculty Supervisor:

Ramaswami (Ram) Balachandar

Student:

Partner:

TRQSS Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Windsor

Program:

Business Strategy Internship

British Columbia Energy Storage and Bioenergy Market Analysis

Strillence Strategic, a leading strategy and management consulting firm specializing in technology startups, is conducting a comprehensive landscape analysis of the energy storage and bioenergy sectors in British Columbia. This initiative aims to drive innovation and sustainable growth in the province’s clean energy ecosystem.

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Faculty Supervisor:

Christopher Gaston

Student:

Partner:

Strillence Strategic Ltd

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Business Strategy Internship

Strategic Market Expansion Plan for UK and EU

REMOTECON is a small business based in Nova Scotia committed to pioneering innovations that empower ocean exploration and research. It focuses on developing cutting-edge subsea battery packs, electronic fuses, connectivity modules, and depth sensors for the ocean tech industry. Recently, REMOTECON designed a new version of battery packs specific for underwater remote operating vehicles (subsea ROVs) that has solved a specific power problem. Canada and the United Kingdom have more than 260,000 kilometers of combined ocean (ACOA 2023). Both share an understanding of the blue economy, which is the sustainable use of ocean resources to promote economic growth, job creation, and the health of the ocean ecosystem and its potential. The UK ranks #1 globally in blue technology, according to the MIT Technology Review’s Blue Technology Barometer (The Blue Technology Barometer 2022). There is tremendous potential for REMOTECON to engage with clients in the UK. However, the innovation challenge is understanding the UK’s specific market demands, regulatory frameworks, industry dynamics, logistics and supply chain management to ensure their products are efficiently transported, stored, and delivered once they enter the UK market. To address this challenge, knowledge and expertise in international business is crucial. In this project, the intern will develop a market entrance plan and marketing plan for REMOTECON tailored to the United Kingdom’s market. The intern will work to create a plan to help effectively maximize REMOTECON’s resources as they pursue brand expansion into the UK. By leveraging the intern’s expertise, REMOTECON can enter the UK market strategically, helping expand its global reach and maximize profitability.

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Faculty Supervisor:

Fonda Smyth

Student:

Partner:

Remotecon Limited

Discipline:

Business

Sector:

Manufacturing

University:

Nova Scotia Community College

Program:

Business Strategy Internship

Evaluation of heat stress in lifeguards

Due to climate change, exposure to increasingly warmer temperatures, especially during the summer months, is of concern. This is true for lifeguards who play a vital role in ensuring the safety and well-being of visitors to aquatic facilities as well as beachfronts open for public swimming. Due to routine exposure to hot and humid conditions, the ability of a lifeguard to respond to emergency situations may be compromised. Unfortunately, there is no existing heat stress management program for Ontario lifeguards. In response to this gap, the Lifesaving Society (program partner) has partnered with the School of Occupational and Public Health at Toronto Metropolitan University (academic partner) to measure the risk of heat stress and also conduct a search of the literature and regulatory requirements. The goal is to develop evidence-based best policies/protocols, along with the associated training, training to minimize the risk of heat stress amongst Ontario lifeguards.

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Faculty Supervisor:

Chun-Yip Hon

Student:

Partner:

Lifesaving Society Canada

Discipline:

Life Sciences

Sector:

Education

University:

Toronto Metropolitan University

Program:

Business Strategy Internship