Micro-Electro-Mechanical Systems (MEMS) are complex systems with sizes in the range of few microns (human hair has thickness of 150-200 microns) which have both mechanical and electronic components. MEMS technology has entered in many industries such as optical technology, point of care diagnostics, telecommunications, automotive, and military. Today, there are hundreds of MEMS devices, e.g. […]

In this unique research project, the researchers will document and analyze the collaborative processes and technologies in a housing project, which follows a formal Integrated Project Delivery (IPD) approach. IPD is an emerging procurement method in the construction industry that engages all major stakeholders from the beginning of the construction project. However, there is still […]

Brushless permanent magnet synchronous motors (PMSMs) are widely used in many applications including automations, instrumentation, propulsion, vehicular systems, etc. This project is focused on research and development of a modified drive system and novel control algorithms for PMSMs that could improve efficiency and torque performance compared to conventional methods. Collaboration with the University of British […]

While companies are looking to hire the most qualified candidate to fill their positions, they often have a difficult time identifying the right candidate for the job using traditional hiring practices. However, one major barrier is that companies may over-rely on traditional hiring methods such as interviews that may not be the best way to […]

Lateral epicondylitis is a common source of lateral elbow pain and causes restrictions in performance during daily activities as the pain increases with wrist and hand movements. It is necessary to explore new treatments that decrease the symptoms of lateral epicondylitis. We aim to investigate the effects of a new non-surgical treatment (the ArmLock Sleeve) […]

CANDU reactors use a large number of self-powered, in-core flux detectors (ICFDs) for their reactor regulating system (RRS) and their two shutdown systems (SDS-1 and SDS-2). Dynamic characteristics of ICFDs and lead cables are very important to reactor control and safety. Although, to date, several studies have modeled dynamic characteristics of ICFDs and lead cables, […]

The availability of big data in smart infrastructures have become a strategical asset for operators to understand the situation of the infrastructure and monitor potential threats. However, most of the data still have not circulated beyond traditional corporation and technological boundaries, which have limited the visibility that could have been provided by the abundant data. […]

Penetration testing is a key security tactic, where defenders thinks like an attacker to predict the latter’s actions and develop effective defense. However, for large-scale cyber-physical infrastructures like the smart grid, traditional penetration tests on individual devices or networks are insufficient to exhaust all potential exploits or to reveal infrastructure-level vulnerabilities invisible to the local […]

The objective of this project is to develop a software system which can optimally control the base station sleep states in 5G networks to save energy. The 5G wireless networks are required to be green and yield very low carbon dioxide emissions. Compared with that of 4G wireless networks, the power efficiency of 5G is […]

The latest artificial intelligence (AI) technologies have effectively leveraged the wealth of data from cyber-physical systems (CPSs) to automate intelligent decisions. However, for safety-critical CPS like smart grids and smart cities, the conversion of massive data into actionable information by the AI must be not only effective but also reliable. To this end, this project […]

Le secteur des soins de santé personnalisés (SSP) soulève de nombreux défis en matière d’adhésion, d’intégration et de réglementation. Il est alors nécessaire de faire l’état des défis et des enjeux concernant les SSP dans le système de santé. Lorsqu’on parle d’intégration ou d’adhésion des SSP, on fait référence à leur utilisation par les professionnels […]

Artificial intelligence (AI) has transformed our way of perceiving and interacting with technology, by providing state-of-the-art solutions for challenging problems across the tech-spectrum. The main objective of this cluster of projects is to investigate, develop, adapt, integrate and evaluate state-of-the-art machine learning (ML) techniques, which are suitable for modeling and prediction using datasets collected for […]