This paper will explore the industry sectors that attract and retain the largest number of very recent Chinese immigrants (5 years or less) to Canada and the credential recognition services that Chinese skilled workers need in order to be able to work to their full potential in Canada. This paper will also include a review […]

Multidrug-resistant (MDR) bacterial pathogens are ubiquitous in hospitals and community settings. New antibiotics against unexploited targets are urgently needed to better control such infections. The proposed research aims to identify novel, drug targets and therapeutics for antibiotic-resistant nosocomial pathogens, capitalizing on a proprietary indel-targeting approach that takes advantage of structural differences between homologous essential human […]

Machine-to-machine (M2M) devices are defined as the equipments which do not require a direct human interaction for communicating to each other. M2M networks are predicted to have a large end-user market in the near future with numerous potential applications, such as home automation, patient monitoring, transportation, and smart metering. Currently, the main bottleneck is to […]

This study aims to produce a feasibility report on establishing a district energy system in Toronto, Ontario. The district energy system will be powered by wood chips sourced by a local, privately held forest and transported by rail to the proposed combined heat and power facility. Areas that will be examined in this study include […]

The human genome is composed of billions of base pairs coding for genetic information. DNA is scattered through our chromosomes that all get packed in the nucleus of a cell. Different conformations of DNA folding can be informative of cell type and lead to regulation of specific expression programs by modifying physical accessibility to transcription. […]

As the wild progenitor of modern domestic cattle, aurochs became extinct in the 17th century in Europe. Their extinction in China was once thought to start at the beginning of the Neolithic due to some climatic changes. However, our recent ancient DNA analysis (Cai et al., 2018) has confirmed the aurochs had in fact survived […]

Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to further understand the form of the optical functions for the various types of thin-film […]

Current cancer immunotherapies, although highly successful, are complex to implement, costly, and only effective in small patient populations with specific cancer types. We propose to overcome these problems by developing small molecules to induce immunogenic cell death (ICD), a cancer cell death process that engages the immune system to recognize and eliminate cancer cells and […]

Current cancer immunotherapies, although highly successful, are complex to implement, costly, and only effective in small patient populations with specific cancer types. We propose to overcome these problems by developing small molecules to induce immunogenic cell death (ICD), a cancer cell death process that engages the immune system to recognize and eliminate cancer cells and […]

Salt splitting is a technology in which an electrochemical cell containing 2 membranes to transport positive and negative ions, is used to produce sulfuric acid and caustic soda from sodium sulfate, a compound found commonly from industrial brine streams. Salt splitting electrolysis is a sustainable solution for the expanding markets of acid and caustic recovery […]

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency […]

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]