Simulation-based decision support system for data analytics deployment

Data has been recognized as one of the most valuable assets of modern business. The capacity to gather, store, analyze and interpret data in great quantities can determine to a large degree the ability of a company to achieve goals and adapt to largely volatile environments. This is especially true for financial institutions where data […]

Read More
Development of a low-cost tool for skin cancer screening

The proposed research project is intended to develop an educational tool for the general public to be able to perform self-screening of their skin lesions. For this, a melanoma-detection mobile application will be developed to analyze lesion images acquired using a low-cost dermoscope attached to a smartphone. This product helps public or students to learn […]

Read More
Barcode Image Enhancement Using Deep Learning

The use of barcodes to store alphanumeric information has spread from supermarkets to department stores, the health industry and even on the back of our drivers’ license. Recent years have also seen demand to increase the density of information encoded in barcodes. A Drivers’ License has its personal data encoded in the barcode on the […]

Read More
Olympus : Aide à la décision pour imagerie PAUT

La méthode d’inspection ultrasonore PAUT (acronyme pour ‘Phased Array Ultrasonic Testing’) est une technique d’imagerie permettant la détection et la caractérisation de défauts de fabrication dans les assemblages et composants les plus critiques de l’industrie. Cette méthode, offerte avec certains produits Olympus tels que l’Omniscan ou le Focus PX (des produits conçus et fabriqués au […]

Read More
Anonymisation et désensibilisation de données

L’enjeu de protection de la confidentialité des données personnelles sensibles et de leur utilisation par le secteur privé pose de plus en plus de défis. L’adoption par le gouvernement du Québec de la loi n°64, pour encadrer les dispositions législatives en matière de protection des renseignements personnels, remet la question au cœur des débats. Le […]

Read More
INO : Détection automatique de menaces dans des images issues d’une caméra térahertz (THz).

INO est en train de développer un dispositif «?see-through?» permettant d’inspecter sans contact une zone prédéfinie sur une personne. Ce genre de dispositif serait déployé aux endroits où un contrôle des personnes est requis afin de déterminer s’ils transportent des articles menaçants sous leurs vêtements. Citons à titre d’exemple les aéroports. L’utilité de ce dispositif […]

Read More
Multi modal information extraction for visually rich documents

The main objective of this project is to extract information from documents (Name, issue date, address, account number, etc.) that have diverse set of layouts (bank statements, utility bills, credit card statements, etc.). This problem is challenging because of diversity in layouts, variety of languages and complexity of template structures, which makes traditional NLP approaches […]

Read More
High-fidelity, Directable Animation Transfer for Dubbing

The entertainment industry delivers media products around the world to people speaking a large number of distinct languages. To accommodate different languages, the producers typically re-generate the sound stream in different languages in a post-production step, but they leave the same video footage resulting in the desynchronization between the audio and video content, creating an […]

Read More
Building Information Modeling for Facility Operations

The goal of this research is to explore the extent to which building information models (BIM) can be extended into the operations, maintenance and continuous optimization of CIRS, the Centre for Interactive Research on Sustainability, and the most high-performance building on the UBC campus. The project team will develop and implement a BIM of the […]

Read More
AI powered Traffic Flow Characterization, Monitoring and Prediction

Users and businesses have been relying on internet connectivity more than ever before since the COVID-19 pandemic. It is critical for modern network services to be well-planned, organized and monitored by system administrators and network service providers to ensure the highest possible availability, reliability, efficiency, and cost-effectiveness. Network traffic characterization and pattern prediction in-advance can […]

Read More