Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer […]

The pipeline transport sector is facing the issue of precipitation of unwanted heavy molecular compounds namely asphaltene and wax eventually leading to deposit along the inner walls of the pipeline. This consumes a lot of energy and maintenance cost. The objective of this work is to provide a solution to inhibit the precipitation of these […]

Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We […]

Verbal communication in noise while wearing hearing protection devices (HPDs) is often difficult. Recently, a “Radio Acoustical Environment” (RAVE) was developed within the EERS-ETS Industrial Research Chair in In-Ear Technologies (CRITIAS) to enhance communication for people wearing HPDs in noise. With RAVE, speech is captured from inside the ear, denoised, and enhanced to be sent […]

Current real-time precise point positioning (PPP) systems still suffer significant challenges. One is its long position convergence time necessary before precise position solutions become obtainable. Another is its sensitivity to the loss/latency of high-frequency precise orbit and clock corrections, resulting in degraded performance. Those challenges have limited PPP’s adoption in many applications. This project aims […]

The continuously increasing demand for wireless access, driven by the increasing requirements of our connected society, is pushing current wireless cellular communication systems to the limits of their capacity. The objective of this project is to continue the successful collaboration with our industry partner (Telus Corporation) to further contribute to the evolution of current generation […]

NightShift optimizes customers’ bandwidth usage when using streaming services. It does this by taking advantage of off-peak bandwidth availability to cache digital media content addressing both problems of limited bandwidth (which impacts real-time streaming) and bandwidth quotas (which can result in bandwidth throttling or overage charges). The goal of this research is to explore interfaces […]

Past and recent earthquake clearly demonstrate that the poor seismic performance of Non-Structural Components (NSCs) can cause the building to lose its functionality, risks the life safety of occupants, and give a rise to huge economic damages even if the structural components have performed well. During past four decades, several analytical methods and empirical equations […]

Enhancement of technology and computer science has helped researchers in multiple fields and industries, from health care to automotive industry. Smoking is one of the habits that could harm humans dramatically. Lung cancer, heart attack is just some of the diseases that come with smoking. A large number of people strive to quit smoking each […]

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an […]

As computer chips approach the nanometer-scale size, it is becoming increasingly clear that the next revolution in computing technologies will be enabled by quantum computing. A pioneer in quantum technologies aimed at quantum computing, the Canadian company D-wave Systems has developed quantum annealing processors consisting of superconducting circuit that can be used as efficient devices […]

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]