Design and improvements of security solutions to be integrated in an Internet gateway

Four research projects addressing issues related to computer network and web security are proposed. In Project 1, the development of a novel self-learning anomaly detection tool is proposed to protect web servers against emerging elaborate attacks (such as spamming, multi-step and zero-day attacks). This tool will be developed using Machine Learning and Data Mining techniques. […]

Read More
Dynamic Light Redistribution Algorithm Advancement for High-Dynamic Range Digital Projection

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational […]

Read More
Quantum Annealing Techniques for Efficient Graph Analysis

This research investigation aims to assess a set of well known NP-Hard problems that are currently only solvable with an approximation, and prototype implementations of a general solution to their class of problem previously developed by 1QBit. This requires a series literature and prior art reviews, prior to the development of new algorithms and code […]

Read More
Citizen data for cycling research: BikeMaps.org App development

Canadians are increasingly using cycling as a means of transportation. However, understanding the risks is problematic as data is limited. To address this, the Spatial Pattern Analysis and Research (SPAR) Lab has created a web-map, BikeMaps.org, to gather data from cyclists on crashes, near misses, hazards, and thefts. Cyclists around the world have enthusiastically begun […]

Read More
Investigate machine learning algorithms to detect anomalies incomputing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

Read More
Visual History for Scheduling Behaviour

Actenum produces scheduling software (Actenum DSO) that computes project schedules based on user defined criteria, constraints and desired KPIs (Key Performance Indicators). The software represents schedules using Gantt charts. A user of Actenum DSO enters activities and the constraints between them and then runs an optimization algorithm to produce a schedule. Actenum has found that […]

Read More
Detection of Coalition Attacks for Online Advertising

As the Internet has become part of people’s daily life, online advertising has also been more and more popular for its instant global communications. Of a number of factors on the cost of the advertising, a major consideration is the number of views of the ads, clicks to the ads, and conversion generated by the […]

Read More
Ecosystem-based management research for Canada’s Sablefish fishery

The fishery for British Columbia’s Sablefish (Anoplopoma fimbria) is one of Canada’s most valuable marine fisheries. This project addresses the two primary strategic challenges currently facing this fishery: (1) lower harvest quotas aimed at rebuilding the spawning biomass to more productive levels risks the economic sustainability of the industry and (2) future access to fishing […]

Read More
Agile with Music As a Fundamental Element of Gameplay Design

This research project attempts to investigate and advance approaches where the productivity of a small team can be increased while assessing the effectiveness of agile methodology and various communication and management models in a fast paced, constantly changing environment. Specifically, the intern will investigate the use of agile development methodologies within the video game context […]

Read More
Analyse comparative d’une formation en présentiel et d’une formation basée sur un jeu sérieux dans le cadre d’Hydro-Québec

Depuis quinze ans, Hydro-Québec organise des formations sur l’Initiation au code de sécurité des travaux Postes et centrales et Initiation aux risques d’induction, mise à la terre et foudre. Ces formations de trois jours s’adressent à toute personne appelée à intervenir chez Hydro-Québec. Visant un meilleur coût d’opportunité, Hydro-Québec a choisi d’intégrer une nouvelle modalité […]

Read More
Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector – AltaML

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

Read More