Topology validation, Error detection, and Correction of rooftops 3D models from LiDAR point clouds and Photogrammetry

The last few years have seen a tremendous increase of the collection and use of LiDAR (Light Detection and Ranging) data for 3D modeling of cities, forest surveys and autonomous driving. In the context of 3D cities, buildings are reconstructed separately, sometimes with the help of aerial images. The accuracy assessment of these 3D models is not straightforward. However, end-point users need to know how reliable the models are for using them for tasks such as roofing quotes and solar installations design.

Ransomware Detection through Device and Network Behavior Monitoring

Ransomware consists of malicious software that after infecting a target device prevents the device owner from using effectively the corresponding resources until the demands of the ransomware operator are met usually by paying a ransom, typically using cryptocurrencies.
Despite the growing number of ransomware infections, their increasing sophistication, and their significant financial and operational impact, available defensive mechanisms are still embryonic.

Development of a Co-Simulation Platform for Electrical Systems

The proposed research aims to develop better computer simulation tools for the study of large electrical power systems. The premise of the research is based upon the concept of co-simulation, wherein two specialized computer simulation tools, each with unique features and strengths, are used in conjunction to solve a large electrical system. In the particular case of the proposed research work, this will be achieved using an interface between an electromagnetic transient (EMT) simulator and a dynamic-phasor (DP) simulator.

Dynamic Binary Instrumentation of Embedded Systems

The proposed research project focuses on the dynamic analysis of embedded systems. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the applicability and effectiveness of a newly proposed QoS-aware dynamic instrumentation framework on real-word time-sensitive applications, and (2) compare the outcome to that of an existing state-of-the-art framework. For this purpose, the intern will get access to real-world applications provided by the partner, Labforge, Inc.

Quality Assessment and Enhancement of Retinal Images

Babies who are born prematurely are at risk of developing a condition called Retinopathy of Prematurity (RoP), which if left untreated, can lead to permanent blindness. RoP causes characteristic changes in the retinal vasculature,
which can be seen when looking into the eye. Because the infants need to be monitored regularly for this condition, and certain traits need to be carefully identified, a special camera is used to take a picture of the retina. These pictures can then be studied for signs of RoP by an ophthalmologist.

Machine Learning for the Telecommunication Industry

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.

Wide Area Measurement Based Robust Damping Controllers for Power Systems with Embedded Power Electronic Devices - Year two

This research will investigate Wide Area Measurement based controllers for improving stability in systems with HVDC and FACTS devices embedded in AC networks. The approach will extend the candidate’s Ph.D. research which introduced a new method that is always able to guarantee improved damping of all modes in the face wide changes in the network. The approach will lead to controller designs which are robust against configuration or operating point changes, or communication loss.

Feasibility Study of Biometric Technologies for Calgary Drop-In & Rehab Centre Society

This project focuses on solving problems related to safety and security of clients and personnel of the Calgary Drop-in & Rehab Centre Society. Their IT department tasked the Biometric Technologies Laboratory Lab, University of Calgary with determining what biometric technologies can be used for identification of clients for access to services, to monitor the safety of both clients and the personnel. The Lab will investigate the feasibility of usage of infrared and video recordings of face biometrics for these purposes.

Precise-ITC Soft Decision forward error correction (FEC) for High-speed Optical Communications

Increased market demand for data and cloud computing is driving business for Precise-ITC corporation. As data bandwidth grows our customers are using advanced modulation techniques for fiber optic efficiency. Recovering the data from a modulated signal after signal impairment requires advance digital signal processing (DSP) algorithms that are able to adapt and cancel impairments in the network. Furthermore, forward error correction (FEC) could be used to improve error correction, enhance system reliability, and extend optical transmission distance.

Development of industrially scalable graphene oxide acoustic transducers

The excellent mechanical properties and its lightness make graphene a revolutionary material as efficient audio transducers for speakers and headphones. Several studies have reported the superior performance of graphene diaphragm in electrostatic and thermoacoustic transducers [1-2]. However, these graphene diaphragms are produced from expensive methods with low scalability and are not suitable for application in the more popular mechanical transducer.

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