Image Maximum: The Invention and Early History of IMAX

IMAX is a Canadian-born invention that has had little scholarly investigation despite its continued commercial success. The importance of this research project stems from the lack of scholarly research about the beginnings of IMAX as a Canadian-born invention and its place within the history media technology.

Applications of Artificial Intelligence in Skin Cancer Imaging, Screening, and Diagnosis

This project involves the research and development of a new skin examination system for Elucid Labs Inc. (Elucid) to add to its imaging and diagnostic capabilities in the area of skin cancer, disease, and conditions. Elucid is building a comprehensive system that identifies and tracks a patients’ moles to perform screening and risk assessment. Moreover, Elucid will be developing a multimodal microscopy system that may prove to be useful in streamlining the histopathology process pertaining to skin biopsies.

AVIO 1603: Cosmic radiation In-flight Measurement and real-time analysis for Electronic Systems and passenger protection (CIMES)

Due to increasing miniaturization, future systems will be made of components that are more energy efficient and at the same time more sensitive to external radiation. To ensure that future systems remain protected against cosmic radiation and single events, aircraft and flight systems manufacturers must collect in-flight data for cosmic radiations and develop a global strategy for real-time processing of this data to provide pilots, crew and aircraft operations, with appropriate information to help them make the right decisions in case of unusually high cosmic radiation exposure.

Machine learning methods for signal classification in anti-drone technology

Drone technology has recently gained wide-scale acceptance in multiple military and commercial applications, including security surveillance and medicine delivery. In 2017 alone, the market revenue from drones is estimated to be around $6 billion. With this, there is also an emerging need for sophisticated anti-drone technology to detect rogue drones entering secure territories, such as military bases and prisons.

Vehicle Occupancy Detection using Thermal Camera and LIDAR

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology will enable the industry partner to commercialize this solution in Canada and globally for efficient and enforceable monitoring of HOV and HOT lanes.

Understanding memory consumption in a distributed data analytics system

Data analytics has emerged as an important driver for economic success in many businesses and in the public sector. In healthcare, using data analytics promises to reduce costs and improve patient diagnostics and treatment. This project is a collaboration with a Vancouver-based company PHEMI Systems that provides data analytics solutions for healthcare and other industries. Our goal is to understand how to make data analytics system used by PHEMI and many others more efficient in terms of consumed resources while at the same time meeting the needs of privacy.

Highly Efficient Uninterruptable Power Supply (UPS) Modules

The UPS market has recently experienced an exponential growth due to the increase in the number of data centers and IT centers. In this research program, superior UPS products will be designed and developed to comply with the new performance requirements of the UPS market. This research program has tremendous value for Alpha Technologies Ltd. to be able to acquire significant market share and attain more revenue. This research program can place Alpha as the leading company in future advanced UPS technology.

Ultra-low power wireless sensor node design for health monitoring use cases

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

Versatile Systems-on-Chip Integration to Reduce Aircraft Weight and Gas Emission (VairCRAFT)

The aeronautic and aerospace industries are exploring new approached to reduce the mass of cables, bulky electronic systems. This rationally leads onto aircraft weight reduction as well as the amount of CO2 and greenhouse gas emitted by aircrafts. To reduce the mass of cables, merging/embedding different electronic systems in a single chip is an alternative. In this approach, massive electronic modules are miniaturized in a so-called SoC. Different SoCs can be embedded in a single package called SiP.

Simulation and analysis of light scatter in head mounted display lens

Head-mounted display (HMD) lenses can include a high degree of scattering (ghosting) which reduces brightness and contrast, and is distracting to the user. This can directly impact the utility of the device, if for instance some of the display is illegible because of excess light scatter and blurring. In this research, we want to investigate ways to model sources of light scattering in a HMD with freeform lenses, using non-sequential raytracing software.

Pages