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

Metaheuristic Approaches to Feature Engineering and Model Architecture Optimization for Financial Time Series Prediction

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project aims to use metaheuristic approaches to approximate the best combination of feature engineering, data processing and model architectures for a specific financial time series prediction problem, while reducing the overall computation and time required for a grid search.

View Full Project Description
Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Consilium Crypto (ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Développements analytiques pour le marketing numérique et le recrutementde donateurs d’organismes à but non lucratif

Plusieurs fondations, comme la fondation Marie-Vincent, sont particulièrement touchées dans le contexte de la crise actuelle de la COVID. Une partie importante des initiatives de financements étant normalement effectuée lors d’événements physiques d’envergure, l’obtention du financement pour maintien des activités est une préoccupation. Afin de supporter les fondations et organismes à but non lucratif particulièrement touchés, le projet vise à développer une solution analytique de marketing numérique pour augmenter leur base de donateurs, l’optimiser leurs efforts de marketing numérique et améliorer leur connaissance des donateurs actuels.

View Full Project Description
Faculty Supervisor:

Jean-François Plante;Alejandro Murua

Student:

Partner:

Videns Analytics

Discipline:

Business

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations in pose, age, illumination, expression, and heterogeneous face matching. And research continues in data sampling, training and modeling to better understand and address issues related to bias. In addition to the advances in research and application, there is recent, and overdue, greater awareness of the impact machine learning and AI have on broad aspects of our society and personal privacy. Within the dynamics of technological advances and societal value, applications such as Vidigami’s private and secure school-based social media platform are seeking to evaluate and implement new functionality and policies to maintain the trust and provide relevance to its user community from students, parents, teachers and school staff. In this proposal research project, the intern(s) will review and evaluate the latest applied techniques to improve facial recognition (e.g. including use of non-facial characteristics such as height and context) and provide greater relevance to school communities.

View Full Project Description
Faculty Supervisor:

Jiannan Wang

Student:

Partner:

Vidigami Media

Discipline:

Computer science

Sector:

Arts, entertainment and recreation; Information and cultural industries; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Synthesis and evaluation of Antibody conjugated to cyclical peptide toxin drug for the treatment of multi-drug resistant cancer cells

Antibody Drug Conjugates (ADC) are an emerging class of drugs that combine antibodies and a drug payload. The antibody cargoes the drug payload to specific targeted cells improving both safety and efficacy. To date that are 8 FDA approved ADC drugs all for oncology application using small molecule drugs. Although these ADCs with small molecules encompass superior efficacy and safety than non-targeted small molecule drugs, it is increasingly evident that they lose efficacy due to the same multi-drug resistance by the cancer cells. In this project, we are exploring the synthesis and evaluation of larger molecule cyclical peptide toxin drugs that cancer cells find more challenging to develop resistance to. Traditionally, these cyclical peptide toxins are rarely used for oncology application due to a variety of systemic toxicity; however, by utilizing the ADC platform, this new class of toxins may be an important class of anti-cancer drug class to unlock.

View Full Project Description
Faculty Supervisor:

David Perin

Student:

Partner:

iProgen Biotech Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Experimental investigation of the flow fields within novel, compact compressor stages

The aim of the internship is to conduct airflow velocity and turbulence measurements within a novel, compact aircraft engine compressor stage, using a non-intrusive technique, and then compare the results with those obtained from numerical (computational fluid dynamics, CFD) models, thereby developing an understanding as to how the different models deal with turbulence and with the strong curvature of the flow present in such compressor stages. The main result of the research is expected to be recommendations to the industrial partner as to how to improve their CFD modelling approaches in order to achieve more accurate simulations and, hence, optimized and efficient “green” designs

View Full Project Description
Faculty Supervisor:

Eric Savory

Student:

Partner:

Pratt & Whitney

Discipline:

Engineering

Sector:

University:

Western University

Program:

Accelerate

Placentia Bay Atlantic Salmon Aquaculture Project

The Fisheries and Marine Institute of Memorial University is partnering with Grieg Seafood Newfoundland to provide 9 internships to students from the Advanced Diploma in Sustainable Aquaculture graduating class of 2021. The proposed project seeks to provide HQPs to assist Grieg in optimizing the novel equipment and systems that will be installed in their land-based hatchery as well as their marine sea cage sites. Through this internship, students will be given the opportunity to gain hands on experience through exposure to new technologies, operational challenges, and research to benefit them in their future careers.

View Full Project Description
Faculty Supervisor:

Jillian Westcott

Student:

Partner:

Grieg NL

Discipline:

Life Sciences

Sector:

Agriculture

University:

Memorial University of Newfoundland

Program:

Accelerate

Design and development of a SLAM algorithm for the tractor-trailer type vehicle at the AIS

The objective is to develop a Simultaneous Localization and Mapping (SLAM) algorithm to be implemented on the tractor-trailer type vehicle used in the AIS called a Cart Puller. This vehicle is to work fully autonomously in a nursery farm, while carrying planted pots (loaded onto the plant carts) toward their loading stations. By using SLAM, the robot will be able to detect static and dynamic obstacles in the nursery, localize itself within a digital representation of the environment, i.e., a map, and simultaneously update this map using the sensors on board the cart puller. SLAM would be the building block of any further control and navigation algorithm to be used on the vehicle.

View Full Project Description
Faculty Supervisor:

Mo Chen;Mehran Mehrandezh

Student:

Partner:

Advanced Intelligent Systems

Discipline:

Engineering

Sector:

Agriculture; Information and cultural industries; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Red Sucker Lake First Nation traditional land use and land guardianship

This research will enable Red Sucker Lake (RSL) First Nation members to monitor RSL territory, lands and waterways and document Indigenous knowledge systems (IKS), including cultural aspects as well as environmental assessment, by video, maps and workshop teachings. In the process, Elders and Knowledge keepers will not only honour their cultural traditions but also train the next generation of leaders and land stewards. This Land Guardian program will use traditional land use, traditional ecological knowledge and ancestral occupancy as key building blocks to build capacity for Indigenous sustainable planning and development activities in RSL. The ultimate goal is to empower the community by increasing local decision-making. So, in summary, Indigenous students and other youth will be trained to be the “boots on the ground” and will act as “eye and ears” of the community. Their observations, combined with traditional and modern knowledge, will lead Strategic Planning for their Ancestral Territory in RSL First Nation.

View Full Project Description
Faculty Supervisor:

Shirley Thompson

Student:

Partner:

Yamana Gold

Discipline:

Sociology

Sector:

Mining

University:

University of Manitoba

Program:

Accelerate

Business Development for Value-added Fishery Products in Grand Rapids / Misipawistik Cree Nation

This project will ‘bring to market’ a new and innovative fishery by-product business in Grand Rapids/Misipawistik Cree Nation. This business is significant for Grand Rapids/Misipawistik Cree Nation as it will enhance the viability of fisheries in this community, enhance food security for those enjoying healthy and affordable fish products and stimulate economic development in northern Manitoba. This project aims to develop this fishery by-product business through 3 main activities: a) interviewing restaurant owners and grocery store owners in Winnipeg to assess the willingness of restaurant owners to serve by-catch fish products and the willingness of grocers to stock by-catch fish products; and b) working with FarmaFeed Consulting to determine a business plan for Grand Rapids/Misipawistik Cree Nations fishers given market conditions and costs incurred.

View Full Project Description
Faculty Supervisor:

Melanie O’Gorman

Student:

Partner:

Farmafeed Consulting

Discipline:

Sociology

Sector:

Agriculture

University:

University of Winnipeg

Program:

Accelerate

Les trois Initiatives de Buenos Aires : Évaluation du niveau d’adhésiondes Membres de l’OMC à cette nouvelle formule de négociation

À Buenos Aires, alors même qu’aucun consensus n’avait été atteint sur la question de l’agenda de négociation, certains Membres ont constitué des groupes de travail ouverts sur de nouvelles questions. On appelle les nouvelles Initiaitves de Buenos Aires. Celles-ci concernent 1) les MPME, 2) l’investissement et 3) le commerce électronique. Ce projet de recherche vise précisément ces trois Initiatives. En partant des constats faits lors du dernier projet MITACS (« Vers une redéfinition de l’Agenda de Doha ? »), ce projet vise à approfondir la compréhension de cette nouvelle manière d’inscrire des sujets à l’ordre du jour des négociations. Par une analyse des négociations sur les trois Initiatives de Buenos Aires depuis 1997, nous entendons dégager une vue globale de l’appréhension par les Membres de l’OMC de ces nouveaux types de groupe de négociation informel.

View Full Project Description
Faculty Supervisor:

Geneviève Dufour

Student:

Partner:

Chardi inc.

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Deep neural networks for floorplan vectorization and feature tagging for first responders

An area of exploration that can lead to a critical improvement in the way first responders can better respond to situations (e.g., fires, shootings, etc.) in indoor scenarios is in the development of intelligent indoor mapping systems that provide critical navigation details to the first responders. This enables first responders to not only plan out their strategies in handling a particular indoor incident, but also provide them with real-time navigation details to accelerate these strategies. Two important components to building such intelligent indoor mapping systems is: 1) the digitalization of floorplans and 2) the identification and location of key features (fire extinguishers, hose attachment locations, stairs, doors, etc.) based on symbols in the floorplans. Doing these two components manually is intractable given the time-consuming and laborious nature of these steps. In this project, working with Mappedln, we aim to develop deep neural networks for automating the conversion of raster floorplans into digital vector formats, and automatically interpreting symbols in raster floorplans to identify what key feature they symbolize.

View Full Project Description
Faculty Supervisor:

Alexander Wong;Mohammad Javad Shafiee

Student:

Partner:

Mappedin

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Evaluation of Solar Technologies Combined with Insulated Wall Panel and Air Source Heat Pump

Hot summers and cold winters present a significant challenge for affordable housing. Effective utilization of solar energy for thermal comfort provides an environmentally sustainable solution to reduce utility bills. The objective of this research project is to investigate alternative solar technologies that can be combined with a thermal energy storage system and air source heat pump to provide an energy efficient and cost-effective solution for affordable housing. The proposed thermal energy storage system will be contained within insulated expanded polypropylene (EPP) wall panel system. EPP wall panels exhibit superior mechanical properties and thereby enable the assembly of full-sized walls in a factory environment. Factory built wall, floor and roof panelized systems provide a significant financial benefit to the construction of affordable housing. The proposed research project is a multi-stage project from concept design to prototype evaluation.

View Full Project Description
Faculty Supervisor:

Amir Aliabadi

Student:

Partner:

Blue Valley Building Corporation

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Guelph

Program:

Accelerate

Previous
1…1,8321,8331,8341,8351,8361,8371,838…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe