For educational voice?centric applications on computer and electronic devices, the proposed project aims to investigate methodologies and tools to support collaborative production environments. The company is developing proprietary collaborative production methods to support high quality ondemand content for mobile applications at a fraction of the cost of traditional models. A key research question for this […]

Asian multinational corporations (MNCs) have been a primary driver of the world region’s economic rise. Their emergence brings fresh air and new challenges to the global economic order. Key to their success is a distinct form of business culture and organizational strategy, which the existing scholarship has yet to address. This project aims to develop […]

This research proposal aims to verify the effect of hearing loss on the social participation of Brazilian and Canadian elderly, and, in addition, this study intends to understand which personal and environmental factors influence the social participation of these participants. Will be recruited in a clinical-school of Speech Therapy accredited to SUS, located in the […]

My research seeks to explore the history of dubbing or post-synchronization in Turkey, which from the 1940s on became one of the most recognizable features of the Turkish industry, characterizing both national and imported production. Post-synchronization of sound had been the standard practice in Turkish popular cinema until 1996; it was only then that shooting […]

Near-eye displays (NEDs) are small displays that are positioned closed to the eye, which conveniently places visual information in the line of sight of a user. NEDs need to be compact and lightweight as they are typically worn on the head, taking the form of glasses or goggles. In this research, we design and build […]

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on 2D images […]

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

Most ultrasound scans require time-consuming manual scanning of transducer arrays to obtain 2D images of the body. 3D images can be acquired by so-called matrix probes but these are large and bulky, and typically offer inferior image quality. Such probes do not exist in high-frequencies important for pre-clinical applications and to date no wearable 2D […]

The World Wide Web Consortium (W3C) has published a set of guidelines to assist designers in the task of designing digital content which will be accessible to users with a wide range of abilities. These guidelines are known as the Web Content Accessibility Guidelines (WCAG), version 2.1. Students in the Inclusive Design program learn to […]

Novel view synthesis is the process of generating new images from an unseen perspective, given at least one image of a scene. There may be more than one probable novel view associated with each unseen perspective, an assumption made by existing methods. This simplifying assumption prevents these methods from being applied to more difficult novel […]

De nombreuses structures sont enfouies sous terre dont les conduites de transport de liquide dangereux tel que le pétrole. Lorsqu’une alerte est donnée pour indiquer qu’il y a possiblement une faille dans une zone de la conduite, identifier l’emplacement de la faille nécessite soit de déterrer la conduite, soit l’utilisation de magnétomètre (détecteur de champ […]

Current research in semantic parsing suffers from lack of annotated data, which is hard to acquire. In this project, we aim at tackling the problem of converting natural language utterances to SQL language (Text-to-SQL) on complex databases in a low-resource environment. More specifically, we focus on the research of how multi-task learning (MTL) can help […]