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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & […]

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

This project will design and test a new privacy-preserving, attack-resilient cybersecurity system for 5G networks using Federated Learning (FL), an approach where multiple devices can train models together without sharing sensitive data. The goal is to improve protection against cyberattacks such as denial-of-service and model poisoning, which threaten the reliability of modern mobile services like […]

As part of the Lab2Market program, this project explores the commercialization potential of the group’s previous research pertaining to the use of computer vision, artificial intelligence and machine learning to precisely detect and identify seeds. Over the 4-month duration of the project, the team will participate in Lab2Market workshops, panels, and lectures from successful founders […]

This project will develop a real-time Artificial Intelligence based system that accurately estimates 3D skeletal pose from monocular video of dogs and reliably classifies fundamental behaviors to support veterinary health monitoring and behavioral assessment applications. Recent research has demonstrated significant progress in automated animal behavior recognition. The intersection of computer vision, animal behavior analysis, and […]

Malaspina Labs Inc. develops algorithms for enhancing speech in extremely noisy audio signals for real-time applications such as hearing aids and mobile devices. Many classical approaches to speech enhancement are not applicable to these domains because of severe hardware and psychoacoustics constraints such as far-field, single microphone use cases (no beamforming),