Due to early strength requirements, shotcrete mix must incorporate rapid set accelerating agents to speed up mix set time and accelerate hardening. Silicate-based shotcrete accelerators have demonstrated good early compressive strength, short set time and good stiffening properties at relatively low cost. The silicate-based shotcrete mix also has minimal impacts on health, environment and improved […]

Among the applications of computer science in the field of health care and biomedicine, the processing of clinical patient records is one of the increasingly important topics for improving the Electronic Health Records (EHR) systems. A practical use of EHR systems is to help improve the decision making process for the physicians. The goal of […]

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]

Chronic anxiety is a growing psychological disorder worldwide and in Canada. Even when anxiety presents at pre-clinical levels, it can be disabling. Anti-anxiety drugs have many adverse side-effects. In some cases, listening to music decreases anxiety more effectively than anti-anxiety drugs. Binaural beats may also reduce anxiety and promote relaxation. This project will examine the […]

CT (Computed Tomography) scans are widely used medical images used to diagnose disease such as cancer. CT Scanners pass x-rays through the body in order to generate cross-sectional images. Unfortunately pro-longed exposure to radiation (via x-rays) can damage the body, and thus one aims to minimize the x-ray dose they receive. However, modern CT scanners […]

The advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell […]

Ageing is a global phenomenon, which presents challenges and opportunities for many nations, including Canada, China, and Germany, the foci of the study. In addition to the impact on pensions, health care, the labour market, consumer trends, and social services, the greying population also has far-reaching implications for businesses. As the population ages, changes in […]

This project will integrate normal temperature battery (NTB) that is cheap but only can discharge above-20?, and low temperature battery (LTB) that is expensive but can work at -40? into an insulated housing with a smart hybrid battery management system. And a heat pipe with design trigger temperature will be integrated to the housing to […]

Rotational components (e.g., shafts) are key parts of machinery equipment in automotive, aerospace, energy production, etc industries. These components are continuously monitored for structural sensing and failure diagnostics by attaching sensing devices on them. This project aims to implement optical fiber sensors for strain sensing in rotational components. The available technologies for strain measurement in […]

The Cascadia subduction zone, which extends along a significant portion of western North America from northern California to southern British Columbia, has the potential to produce large devastating earthquakes and tsunamis. Therefore, better understanding the complex structure of the Cascadia subduction zone is paramount to accurately assessing the seismic and tsunamigenic hazard it poses to […]

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 […]

The Sustainable Engineering Design Audit (SEDA) score is to be designed to evaluate environmental impact on the balance sheet alongside the bottom line. The ability to evaluate environmental use alongside financial decisions will increase green practices and pro-environmental behaviour. The score will use appropriate Life Cycle Analysis (LCA) boundaries through a cradle-to-grave analysis and examine […]