Characterisation of Millimeter-Wave Power Amplifiers and Application of Novel Digital Predistortion Techniques

To pave the road towards the upcoming 5th Generation of telecommunication standards (5G), we aim to develop a fully integrated solution satisfying the increasing requirements in terms of wide bandwidth, small footprint, and high-power efficiency. Initially, we prepare a fully automated setup to characterize the Gallium Nitride (GaN) Power Amplifiers (PA) considered as key components for 5G millimeter-wave frequencies transmitters. However, PAs are prone to saturation at high power which compromises their power efficiency and signal quality also known as linearity.

Development of CardiAI: An AI-Assisted Point-of-Care Device for Heart Failure Management

The aim of this research and development project is to design and develop a bedside point-of-care device to be equipped with the CardiAI’s machine learning technology for heart failure management. our POC system will include
disposable cardiac biomarker strips and an electronic reader.

Impact of Post-Quantum Cryptography on PKI, Common Libraries, Protocols and Crypto Agility Requirements

Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact of particular PQ algorithms on common infrastructure, provide examples of safe migration paths where they exist, and recommend changes or mitigations based on discovered issues.

Pavement Distress Detection Using Conventional Unmanned Autonomous Vehicle LiDAR

In Montreal, pavement distresses are causing serious problem to the road network with more than half of the road considered in a bad and a very bad shape. Many pavement inspection methods are developed in order to inspect, detect, locate, and classify pavement distresses; however, these methods are not efficient in term of time, cost, and accuracy. In our project, we aim to develop a new approach in detecting, classifying, and locating pavement distresses using conventional unmanned autonomous vehicle LiDAR.

New High Precision GNSS Positioning and Navigation System Using Triple-frequency GNSS Signals - Year two

Precise Point Positioning (PPP) is a next generation precise positioning technology using GNSS and is expected to be adopted in more and more applications. To date, all PPP systems available on the market are dual-frequency based systems and long positioning convergence time has limited its wide applications. With the progress of the GNSS modernization, triple-frequency signals are becoming available, which will shed light to overcome this challenge.

Development of an Electromagnetic-Transient (EMT) Compatible Model for Power Transmission Line Tower and Tower-Footing Grounding System

Transmission lines expand over hundreds of kilometers and are the most vulnerable component of a power system to lightning strikes. Damages to equipment, high repair costs, and loss of revenue could happen when the lightning hits the transmission tower or conductors. Tower grounding systems in transmission towers play a major role for mitigating the over-voltages. The impedance of the tower’s structure contributes to the total impedance of the system as well when subjected to lightning surges.

Digital Controlled Load-Modulated Analog Predistorter for GaN High-Power Amplifiers

In Satellite communication, the energy consumption of the transmitter and receiver are of great importance, since high power needs to be transmitted from earth stations and satellite transponders to allow the information to travel large distances. The power amplifier as a last stage in the transmitter is the most energy hungry component and making it more energy efficiency would reduce the overall energy consumption of the system.

Accuracy Assessment of Optical Tracking for Orthopedic Robotic Surgical Tool

Highly accurate spatial measurement systems are among the enabling technologies that make image-guided surgery possible in modern operating theatres. We consider the problem of positional accuracy assessment for robotic surgical tool while using a multiple camera optical tracking system (OTS). Since the position of the surgical tool with respect to the bone is guided by tracking markers placed on the patient, to properly assess the surgical tool accuracy, the positional accuracy of the OTS must first be well understood.

Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed or employed.

Machine Learning for the Telecommunication Industry - Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

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