A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology […]

Read More
Development of an intelligent surveillance solution that supports safe re-opening practices to public and private areas through social distancing enforcement and occupancy detection technology

Our project is part of a “Return to Work” program that allows public and private spheres to begin re-opening without increasing the threat of COVID-19. This project is focused on developing a highly intelligent surveillance solution that (1) detects and counts occupancy of an area to ensure occupancy restrictions are being followed; (2) tracks social […]

Read More
Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed […]

Read More
Rapid deployment of AI-assisted COVID-19 detection for radiology

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]

Read More
Efficient Deep Learning Methods that Only Require Few Labeled Data

In this postdoc, we plan to focus on computer vision tasks where existing deep learning methods require lots of labeled samples to work well. Acquiring labeled samples is time-consuming and often impractical. Thus, we investigate three different classes of methods to alleviate the label scarcity problem: active learning, weakly-supervised learning, and few-shot learning. In active […]

Read More
Semantic Search and Visualisation using Machine Learning and Natural Language Processing

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

Read More
A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different […]

Read More
Implementation of an Optimal System for the Detection and Avoidancesystem on an Unmanned Aircraft System

Remotely Piloted Aircraft System (RPAS) will be essential in developing and monitoring Canada’s territories. This is in part due to a lack of suitable human pilots due to skill shortages and difficult conditions making recruitment difficult; there are also “dull, dirty and dangerous” aspects of the missions that make a remote pilot operation safer. Miniaturization, […]

Read More
Real-time Transcription and Knowledge Extraction of Video Consults

Dialogue is Canada’s leading telemedicine provider, founded to improve well-being by using technology to deliver excellent care. Dialogue is a pioneer of virtual health care dedicated exclusively to organizations that want to improve the health and well-being of their members and families. We provide effective health solutions through outstanding health care experiences and a focus […]

Read More
Geometric Deep Learning of Volatility Surfaces

Options are financial instruments that are used to manage risk, hedge investments, and speculate. The value of these options depends on the price of the underlying asset and a multitude of different variables. As a result, pricing models can become complex, requiring infeasibly expensive routines or simulations to be run to price a single option. […]

Read More