Investigating the effect of a novel regularization technique for neural networks

Despite the fact that neural networks have been widely applied in practice, training such networks can suffer from slow convergence, poor local minima and some other difficulties such as catastrophic forgetting. Such shortcomings severely undermine the applicability and usefulness of neural networks. The objective of this project is to identify the reasons behind such difficulties […]

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Visual Recognition for Large-Scale and Weakly-Labelled Video Data

The main objective of this project is to investigate, develop and evaluate state-of-the-art computer vision and machine learning techniques, which are suitable for accurate modeling and recognition from large-scale video datasets that are weakly labeled. In particular, we will focus on the learning of visual recognition models for an application area of interest to SPORTLOGiQ […]

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Using Machine Learning to Classify and Access an Audio Database

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]

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Advanced Data Science Research for Social Good II

Municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets. Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with […]

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Fabrication and Characterization of Ion-Beam Synthesized SiGe

The student will use ion beam synthesis to fabricate germanium thin films integrated with silicon substrates. The fabrication will use a method pioneered within our group, known as implantation-condensation. Silicon is bombarded with germanium atoms and subsequently heated to a temperature of 1000C in an oxygen atmosphere. The silicon is removed leaving a high quality […]

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Efficient Machine Learning in a Collaborative Edge-cloud Architecture

With the growing application of learning-based technology in image recognition, speech translation, and other back-end systems like ad advertising, artificial intelligence (AI) has finally moved from research labs to real business. As AI moves closer to reality, it is expected to help us more in more personalized and even critical contexts, like smart home, autonomous […]

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Optimized Non-invasive Cuff-less Continuous Blood Pressure Measurement Technique Using Artificial Neural Network

Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and […]

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Experience and Health Impact of University Students Accessing a Digital Nutrition, Fitness and Mindfulness Platform

Universities across Canada are facing a mental health crisis with an increasing number of students reporting anxiety, depression and suicidal thoughts. This is of special concern in first-year undergraduate students. First year university students will be asked to use an electronic platform which encompasses three pillars of health (nutrition, fitness and awareness) for 12 weeks. […]

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Dymedso FrequencerTM technology optimization

Dymedso is willing to introduce a new technology for sound-wave generation therapy that addresses some issues identified by patients and caregivers over the past years of use in clinical practice. The identified issues involve ergonomic and performance limitations. For instance, the current version of the device is still cumbersome for patient use. Thus, for more […]

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Investigating How Teachers Learn and Customize Digital Classroom Tools II

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

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Impact du comportement d’un avatar sur le sentiment de présence lors d’une simulation multi-utilisateur utilisant la réalité augmentée

La réalité augmentée consiste à superposer des éléments virtuels à notre réalité, soit au niveau visuel ou auditif. En réalité augmentée, l’ajout d’un avatar à un environnement virtuel comporte plusieurs défis jusqu’alors non présents pour d’autres médias comme les écrans 2D ou la réalité virtuelle. En effet, l’avatar est exposé au monde réel de l’utilisateur […]

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