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

Anomaly detection and simulation for unlabeled sensor data

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to be detected early to prevent further losses. The data in this domain are recorded using sensors at various stages in the process flow. Major challenges of analyzing these sensor data are (1) unlabeled data, which may contain very few unobserved anomalies or outliers; (2) the development and evaluation of algorithms that can robustly detect anomalies. Due to the lack of labels, the performance of algorithms can not be directly evaluated. To tackle the problems, we will carefully design simulations by taking into account of various types of outliers and develop novel robust one-class classification algorithms.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

Quartic.ai Canada Inc

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Smart Phone Microscope

The project that you will be working on is titled “Microscope adapter for smart phone camera”. As such we have made quite a bit of progress and have made two prototypes of microscope that can be interfaced with a smartphone. However, now we will like to have advanced features like fluorescent microscopy. So the final objective of what you will be doing here is the develop and demonstrate some of these capabilities in this device. In the process of doing that you will get to do many other things involving surface science, soft mechanics and, of course, some optics.

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Faculty Supervisor:

Boxin Zhao

Student:

Partner:

Indian Institute of Technology Kanpur

Discipline:

Engineering

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Bench Marking of FEA Software Packages in 2D and 3D

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes processing time too long, which reduces efficiency and adds costs. Therefore, in this project I will simplify 3D model into beam element (2D beams representing parts in 3D space to create structure). This will give us an estimation of the actual performance but save lots of processing time.

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Faculty Supervisor:

Kamran Behdinan

Student:

Partner:

SPP Canada Aircraft Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Communities Under Siege: Everyday Challenges in the Divided City of Jerusalem

In cities around the world, land is disputed between groups of people from different religious, socioeconomic, class, and ethnic backgrounds. These differences and contestations play out in the urban landscape by creating divided cities. Jerusalem is one of the most divided cities in the world, and has received little scholarly attention with regards to gendered division in the landscape on a neighborhood level. The proposed research project aims to understand agency within women in Palestinian communities in Jerusalem. It seeks to explore Palestinian women’s grassroots methods of contributing to and shaping their urban environment, in not only a male dominated society, but in a city where Israeli’s hold all the formal roles in urban planning and development. This project is significant to the research community and to society because it will both give a voice to marginalized peoples and reveal the management methods of those residing in polarized cities.

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Faculty Supervisor:

Sarah Moser

Student:

Partner:

The Hebrew University of Jerusalem

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Aboriginal Affairs; Other

University:

McGill University

Program:

Globalink Research Award

Practical Multi-Interface Network Access for Mobile Devices

The goal of this project is to improve and study algorithms and methods for better network connectivity in mobile environment, when multiple, different networks are available. The goals include studying techniques for combining capabilities of independent network links, improve the methods of migrating existing connections between different physical networks, as well as studying the impact on the battery life in presence of those algorithms. The partner investigation will benefit from this research by extending the knowledge and understanding of the system developed by the company, which is at the core of the project. It will also help identify any problems with the system, that need to be addressed.

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Faculty Supervisor:

Sagar Naik

Student:

Partner:

Pravala Inc

Discipline:

Engineering

Sector:

University:

University of Waterloo

Program:

Accelerate

Comparing SME Policies: A Case Study between Detroit and Brazil

The purpose of this research is to create a framework which investigates the different factors that play a role in the effects that SME’s present to a society. This project will be case study based. It will define the differences between the micro-region of Detroit and a macro-region, the country of Brazil. The framework will be built to determine how the different variables impacted the effect that an SME policy had on the economic region. The objectives of this project are to compare the effects that SME policies, and the SME’s themselves, have had on the economic growth for Detroit and Brazil. By analyzing the structure of the policies and comparing their outcomes, we can understand the effects that they have on economies, society, and innovation. This research will outline the effects that different SME policies can have in a specified economic region. Whether that is economic, social, or otherwise, by comparing the effects that specific SME policies have had for the Detroit renaissance with Brazil, this project can bring a better understanding as to the better formulation for these business oriented policies.

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Faculty Supervisor:

Francine Schlosser

Student:

Partner:

Universidade Federal de São Paulo

Discipline:

Business

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One foundational aspect of deep learning that has garnered great intrigue in recent years is the generalization behavior of neural networks, that is, the ability of a neural network to perform on unseen data. Furthermore, understanding better this generalization behavior has significant practical importance as it can provide guidance and intuition on how to design more effective and powerful deep learning algorithms in the future. TO BE CONT’D

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Faculty Supervisor:

Sanja Fidler;Daniel Roy

Student:

Partner:

Royal Bank of Canada (Borealis)

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; Finance and Insurance

University:

University of Toronto

Program:

Accelerate

3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This includes detection of cars, ped estrians, lanes among many objects. Prediction refers to the process of tracking all the known objects and predicting the possible future actions so as to enable the autonomous vehicle to make informed decisions. Traditionally these tasks are done sequentially and independently one after another. This makes uncertainty hard to propagate from perception to prediction. The aim of this project is to build a deep learning model that does combined 3D perception and prediction.

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Faculty Supervisor:

Sanja Fidler

Student:

Partner:

Uber Advanced Technologies Group

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

THE EFFECTS OF RESP-AID ON ASTHMA

Asthma is one of the serious forms of respiratory diseases causing economic losses and high mortality in the world. RESP – AID is an innovative formula developed by NHV Natural Pet Products to support respiratory disorders and bronchial infections. It is composed of 6 commonly used herbs: Coltsfoot (Tussilago farfar), Marshamallow (Althaea officilanes), Plantain (Pantago major), Mullein (Verbascum Thapsus), Horehound (Marrubium vulgare) and Licorice (Gycyrrhiza glabra). These herbs have been widely used in asthma treatment and can reduce coughing and sputum production, or anti-inflammatory and immunomodulatory activities. However, the effects of these herbs in asthma have not been fully elucidated. Based on the theoretical benefits of RESP-AID, we will conduct a series of studies to explore the efficacy, safety and mechanism of action of RESP-AID.

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Faculty Supervisor:

Shelley Kirychuk

Student:

Partner:

NHV Natural Pet Products

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and language runtime environments. OMR has enough flexibility to accommodate a wide range of programming languages without sacrificing performance, portability, or robustness. This project adds support for generic ahead of time (AOT) code generation to OMR. AOT offers a number of benefits to the end user, among them faster start-up times and a substantial reduction in demand for resources at run time. All developed software will be open source and thus not only of benefit to IBM but the community at large.

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Faculty Supervisor:

Gerhard Dueck

Student:

Partner:

IBM Canada Ltd

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

University of New Brunswick

Program:

Accelerate

Characterization of the Antimicrobial Peptide GL13K

The abuse of antibiotic prescription and administration in humans, livestock, and agriculture has resulted in multidrug-resistant bacteria. One of the promising fields of study to find alternative treatment is antimicrobial peptide research. Among these peptides is GL13K, a thirteen amino-acid antimicrobial peptide that has been shown capable of killing bacteria without being harmful to humans. My research uses model membranes to mimic the compositional differences between bacterial and eukaryotic cells in order to study peptide-membrane interactions using an array of biophysical characterization techniques. The main technique that I would like to learn and apply to my systems is infra-red reflection absorption spectroscopy (IRRAS) as it is a surface-specific technique that enables us to isolate information about the structural changes that the peptides undergoes upon interaction with membranes. Using different peptides with altered amino acid sequences, this information will help us elucidate the structure-function-activity relationship for this antimicrobial peptide. Such information will be used to design new peptides with increased efficacy.

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Faculty Supervisor:

Christine DeWolf

Student:

Partner:

Max-Planck-Institut für Kolloid- und Grenzflächenforschung

Discipline:

Physics

Sector:

Life Sciences (not health); Health and Related Sciences & Technology

University:

Concordia University

Program:

Globalink Research Award

Development of Drug-eluting Bio-absorbable Scaffolds for Body Piercing Applications

Nearly 20% of all piercings lead to local infection, and therefore, it is imperative to develop alternative and commercially-viable methods of piercing aftercare to prevent infection. The general objective of the proposed project is to optimize the design of drug-eluting bio-absorbable scaffolds for human and animal tissue piercing applications with a focus on scaffold degradation and drug release properties. Methods of low temperature fabrication of drug-eluting bio-absorbable scaffolds will be developed and optimized. Moreover, the required scaffold geometry and concentration of drugs to be embedded within the scaffold will be determined based on the drug release profile and degradation rate (in-vitro).

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Faculty Supervisor:

Ali Ahmadi

Student:

Partner:

BioPierce Canada Ltd

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Prince Edward Island

Program:

Accelerate

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