Privacy in Machine Learning Systems with Data/Model Sharing via Information Theoretic Analysis

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

Read More
Distributed Machine Learning for Large-Scale IoT Systems with MEC

Machine learning in large-scale Internet-of-Things (IoT) systems can bring overwhelming demand on the limited resource of IoT devices, e.g., simple cameras and ambient sensors. However, it can substantially benefit from the additional computation and communication resources provided by a new wireless computing framework called Mobile/multiaccess Edge Computing (MEC). In this project, we study machine learning […]

Read More
Ultrafast laser nano-structuring in transparent glass: enabling 3D fibre-photonics packaging and assembly for high temperature sensing

This MITACS project addresses a significant barrier the partner company (Fibos Inc.) is facing with their current customers in manufacturing of fibre optical sensors that can be robust and cost effective for the high temperature and pressure environments. The market is aimed at sensing of rotor assemblies in turbines where electrical and other means of […]

Read More
Finances of the Nation: Data-driven policy analysis for Canada

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the […]

Read More
Development of a supervised and transparent prediction model for predicting bond credit rating migrations in real-time for short to moderate time frame

The purpose of this research is to develop a supervised prediction model that will be used to predict whether a bond credit rating will migrate down to a lower credit rating in a short to moderate time frame. The problem will consist of the development and optimization of a bond credit-rating migration prediction model; the […]

Read More
Light Weighting Structural Injection Molded Parts for the Automotive Industry

Light weighting in the automotive industry is ever becoming important. The overall objective of this research project with Axiom Group Inc. is to develop an innovative, cost-effective and industry-scale technology that can produce lightweight automotive products with good impact strengths. The project is aiming to achieve the cellular morphology to maximize weight reduction (20-30%) without […]

Read More
Closing Skill Gaps in Under- and Unemployed Youth

Learning, an online learning platform, to underemployed or unemployed youth. Building on the work of a pilot project by CivicAction, the intern will plan and implement a randomized controlled trial to test factors driving uptake of online learning and its effects on employment outcomes. The intern and CivicAction will engage with Toronto-area employment services providers […]

Read More
Development of a tissue culture platform to investigate piscine orthoreovirus infectious cycle in-vitro

The aquaculture industry is constantly growing worldwide. Vast arrays of fish species are farmed in freshwater, brackish, and marine systems. In farms, fish reach high-population densities, which facilitates the outbreaks of infectious diseases. This is a big challenge for the aquaculture industry, particularly in the case of viral pathogens because there are few, if any, […]

Read More
Modeling Exfiltration Events in Sunlife Cybersecurity Data

Many governments and other organizations hold confidential data. Theft of that data can be extremely damaging both to the organization and to the people whose data has been stolen. Massive breaches each involving millions of people have been occurring on a regular basis in recent years. New Cyber Security tools are needed to help people […]

Read More
Modelling the current and future (2025) state of travel demand in the Toronto-Waterloo Innovation Corridor

The economic productivity and social quality of life within the Greater Golden Horseshoe (GGH) in general and the Toronto – Waterloo Innovation Corridor in particular depends on a high-quality transportation network that provides cost-effective, attractive mobility to the regions residents and businesses. Expansion of the GGH road and transit networks, however, has not kept up […]

Read More
Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, […]

Read More
Development of Fiber-based Entangled Photon Pairs Sources

Quantum entanglement is a fundamental resource in quantum applications. Optical fiber lays the foundations of infrastructure in metropolitan telecommunication system nowadays. The union of these two might lead to the next generation of practical quantum technology. Periodically poled silica fiber (PPSF) has been demonstrated to be ideal candidate as a source of polarization entangled photon […]

Read More