Machine-Learning for design and discovery of next generation CO2 electrocatalysts

Mitigation of CO2 emissions in conjunction with the implementation of renewable energy generation and storage are widely recognized among the most pressing technological challenges of the twenty-first century that aim to address runaway climate scenarios. The UBC team in collaboration with its industry partner (AGORA Energy Inc) has introduced the concept of CO2-to-energy via its […]

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Machine Learning Aided Self-Estimation of Device Position in Cellular IoT Networks

The research program in this project aims at advancing the use of cellular communications for Internet-of-Things applications. The academic researchers and the partner organization have identified three work items that revolve around the self-estimation of cellular IoT devices (1) to improve energy and spectrum efficient transmission of short and intermittent data packets, (2) to enable […]

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Cybersécurité et expérience utilisateur : exploration du rôle de l’interface dans la réduction de la cybercriminalité en contexte bancaire

De plus en plus de personnes utilisent les services bancaires en ligne au quotidien et s’exposent ainsi à des risques divers tels que le vol d’identifiants. De nombreux outils technologiques peuvent être mis en place pour contrer ces activités criminelles, mais leur utilisation et adoption dépend des comportements des utilisateurs. Malgré une compréhension des enjeux […]

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Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for […]

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Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods – Year Two

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for […]

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Millimeter-Wave Photonic Component Packaging and Interconnect

With the increasing demand for data rates in modern high-speed links come new requirements for the simulation environments that are used for their design. With optical modulator now achieving beyond-100-GHz large-signal modulation bandwidth in hybrid silicon photonics, the main challenges that such systems are currently facing is the lack of efficient interconnects to interface with […]

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Design and Implementation of Low-Noise, Wide-Bandwidth Transimpedance Amplifiers for High Speed Optical Receivers

Canadian Internet service providers, including Bell, Rogers, and TELUS are facing critical challenges to upgrade their access networks in order to support bandwidth intensive products and services. Fonex Data System Inc. is developing a novel optical receiver which is anticipated to outperform current receivers. The receiver will enable increased bandwidth at reduced costs for next […]

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Apprentissage Machine pour la Planification et la Gestion Optimale de Ressources et la Reconnaissance d’Événements Malveillants

Ce projet vise le développement de modèles d’apprentissage automatique capables de détecter des inefficiences dans le fonctionnement des systèmes informatiques critiques, de prédire les instabilités applicatives, de fournir des recommandations pour une utilisation optimale des ressources, et d’améliorer l’estimation des besoins de rehaussement des systèmes informatique du Mouvement Desjardins. Ce projet s’attaque à trois secteurs […]

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Novel Corrective and Training Procedures for Neural Network Compliance

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at obtaining model compliance in two ways: (i) applying corrective measures to a non-compliant Machine Learning (ML) model and (ii) ensuring compliance throughout the model’s training process. We aim to […]

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An IoT Hot Cold Sensation Device

This project is to research and develop a portable hot-cold sensation diagnostic device which will be used to test and record the degree of hot and cold sensation on patient’s limbs. Traditional method uses test tubes filled with warm water or cracked ice and water for testing. Temperature less than 5oC and greater than 45oC […]

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Simulating dynamics of flux qubits with charge and hybrid flux noise

D-Wave Systems has designed processors based on a scalable architecture that aim to implement quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. A minimal requirement for a device to perform quantum annealing is that it maintains coherence throughout an appreciable fraction of the annealing protocol. In reality, […]

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Validation et Correction des Données Hydrométriques par Apprentissage Machine

Pour établir ses plans de production, la Direction Planification de la Production compte sur des mesures de qualité. Pour se faire, elle dispose d’une équipe qui s’assure de la validité des données de mesures et qui en effectue la correction, s’il y a lieu, et ce, quotidiennement. D’après les statistiques effectuées sur le travail de […]

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