High-frequency ultrasound and optical coherent tomography – application for imaging, diagnosis, and measurements on samples of soft and hard tissues

The goal of the study is to research, test and compare imaging, diagnostic, and quantitative assessment capabilities of the high-frequency ultrasound (HFU) technology and the optical coherent tomography (OCT) for dental applications. A set of samples (possibly hard and soft tissues) will be specifically prepared by the research team from the host university and then imaged, and analyzed in order to determine anatomical features and possible diseases conditions. A newly developed scanning acoustic microscope as well as a prototype of a dental ultrasonic system will be used in this study.

Deployment of wireless sensor networks for air pollution monitoring

Air pollution is one of the main environmental applications where Wireless Sensor Networks (WSN) are widely used. Using WSN for air pollution monitoring usually targets two main applications: 1) regular mapping and 2) the detection of high pollution concentrations. Both of these applications need a careful deployment of sensors in order to get better knowledge of air pollution.

High Average Power - Frequency domain Optical Parametric Amplifier (HAP-FOPA)

The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS_EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize this disruptive technology in Canada. Prof. Légaré and few-cycle Inc.

Underwater Acoustic Channel Characterization for Ultra-Sonic Communication Applications

There is an increase in commercial subsea activity, as well as a growing need to monitor the health of our oceans and rivers. Remote sensors must be deployed underwater. Because of the high level of activity along the coast, in harbours, and even in rivers, the sensors are often deployed in shallow environments. To reduce the costs, small untethered nodes are preferable, and the remote data is transmitted to the surface via a wireless technology. In this work, underwater ultra-sonic communication is proposed to enable a short range telemetry link.

Multiphysics Simulation of Optoelectronic Devices, Circuits and Systems

Traditionally, the microchips that power our communications technology use electrical signals to compute, transfer, and store information. Silicon photonics (SiP) is an emerging field, where structures fabricated on those same microchips replace electrical signals with optical ones, enabling exciting new applications such as optical and wireless communications, bio/environment-sensing, and computing.

Robust and Automatic Knee Cartilage Segmentation on MRI Images Segmentation robuste et automatique du cartilage du genou sur des images d'IRM

In order to produce orthopedic knee prostheses for a patient, it is necessary to produce an accurate three-dimensional model of the knee cartilage. The overall goal of the project is to develop a new segmentation method of knee cartilage on MRI images that is both automatic and robust. Laboratoires Bodycad inc. is currently developing innovative technology for orthopedic domain. In this way, the company is a leader for image processing, CAD software development, and manufacturing domains.

Novel Approaches for Practical Machine Learning

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 practical machine learning.

RF Characterization of High Frequency Channels for 5G Dense Indoor Small Cells

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.

Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach to identify the pixels that belong to the teeth-line in each video frame taken by camera located on the mining device.

Evolved Radio Access for Wireless Cellular Communication Systems - Year Two

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 wireless cellular communication systems (4G LTE) along with the development of next generation wireless cellular communication systems (5G) to meet current and future requirements of our connected society.

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