Québec__École de technologie supérieure

No additional funding contribution is required from the academic supervisor or university.
Fellowships will be awarded competitively.

Mechanical characterization of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, and even mortality, among affected patients. Therefore, clinicians would find invaluable a technology with a potential to manage PJI on implants.

Integrated Configurable Power Input/Output Systems for Avionic Applications

Thales Canada develops control systems for avionics applications, which operate in harsh environments that may compromise the functionality of very high density chips. The company needs to develop a generic power interface for different avionics applications with a high level of criticality. However, such circuitry requires a lot of space on printed circuit boards when implemented as discrete components.

Pratt & Whitney Canada Pre-Detailed Design System for Turbines

The aero-engine design process is highly iterative, multidisciplinary and complex in nature. The success of an engine depends on a carefully balanced design that best exploits the interactions between numerous traditional engineering disciplines such as aerodynamics and structures as well as lifecycle analysis of cost, manufacturability, serviceability and supportability. Pratt & Whitney Canada (P&WC) is the world leader in the design and manufacturing of small aero-engines.

Ahoy! Research-in-a-box ships from Kelowna to Montreal

As trade volumes increase, terminal inspectors have less time to conduct container-quality inspections, exposing a vulnerability for the Canadian shipping industry.

Enter CANSCAN, a young company that uses artificial intelligence to secure shipping containers.

CANSCAN is developing an automated shipping container inspection system using high-definition cameras and machine-learning software to predict maintenance and other aspects of the containers.

Self-Adaptive Pattern Recognition with Deep Neural Networks

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project aims to reduce the knowledge gap that exists in the usage of DNNs in the context of pattern recognition with DNNs in network management and network equipment manufacturing.

Optimization of a calibration procedure for Mecademic’s Meca500 robot arm

Mecademic manufactures the smallest and most precise six-axis robot arm. The repeatability of this robot is better than 0.005 mm, but like any industrial robot, the robot’s accuracy is far worse. The only practical way of improving the robot’s accuracy is to calibrate each individual robot.

Pure-sine GaN-based motor inverter

This project applies wide-bandgap (WBG) transistors to voltage level multiplier module (VLMM) topology in motor inverter applications. It is expected that this approach can yield the benefits of WBG motor inverters (high motor efficiency, fast control response, lower motor torque ripple, close to ideal sinusoidal motor current waveform, smaller filter size, lower cost filter, etc.) while leveraging the benefits of VLMM (lower component cost, high frequency switching only at low voltage, filter-less output signal) to yield a commercially viable highly-efficient pure-sine motor inverter.

Wideband envelope detector for dynamic supply control in RFIC PA’s

Radio frequency integrated circuit power amplifiers (RFIC PAs) operating at microwave frequencies (e.g. 5 to 6 GHz) and at millimeter-wave (mm-wave) frequencies (e.g. 60 GHz) are electronic components used in the front-end modules (close to the antenna) of mobile communication equipment such as cellular handsets. Envelope detectors constitute a critical component in a newly proposed dynamic biasing technique for RFIC PAs based on positive envelope feedback, for power efficiency improvement and distortion reduction.

Efficient face recognition for wearable camera devices

Titan Sécurité Inc. has deployed wearable video camera devices for security and surveillance applications, and seeks to accurately detect and recognize objects appearing in captured videos. This project focuses on video-based face recognition (FR), where facial trajectories captured with video cameras are compare against one (or few) reference stills for each individual of interest. The performance of these FR systems is typically poor due to complex and changing video surveillance environments, e.g., variations of facial appearance due to pose, illumination, blur, etc.