Développement d’une méthode non-supervisée d’apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires a l’aide d’un modele d’apprentissage profond. Cette reconnaissance est la premiere etape du developpement d’un modele de pronostic et de suivi de !’evolution de la degradation des alternateurs. Ces signaux sont issus de mesures effectuees periodiquement sur les alternateurs durant leur fonctionnement. Les […]

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An automatic syringe filling system that uses robotic arms controlled by deep learning algorithms to help pharmacy technicians with their tasks

In certain scenarios, in the hospitals, oral medications need to be administrated in a liquid form using syringes in order to avoid complications such as asphyxiation due to the blocking of airways, which is common in children. Consequently, a pharmacy technician may need to fill up hundreds of syringes per day for different units at […]

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Guided Catheter System Based on Smart Polymeric Brush Coating for Vascular Surgery

The main cause of cardiovascular disease (CVD) is narrowing of blood vessels due to atherosclerosis. In such cases stents are chronically implanted in -arteries to physically expand and scaffold the vessels. Each year, ~90,OOO stents are implanted in Canadians. All these minimally invasive procedures involve the use of a catheter. Currently available catheter tubes advance […]

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Consistent and robust Generative Models for Volatility Surfaces

Implied volatility surfaces are a key concept in financial markets, central to the pricing, risk management, and regulation of financial instruments. Despite their importance, numerous mathematical questions about implied volatility surfaces still confront practitioners and regulators today, such as how to fill in missing values in a given surface. Previous MITACS-sponsored work has shown that […]

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AI for Extraction of Biomedical Signals from Headphones

In an age of so many new wearable devices, e.g., smartwatches, glasses, rings, clothing, and so on, headphones can be recognized as the first widely adopted wearable device. They have been around for more than a century and have been used mostly as an output device for listening to music, or, in the recent decades, […]

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Algorithmic and Software Progress in Symbolic Computation

In recent years, research in computer algebra has expanded beyond its traditional territories, such as exact linear algebra and formal solutions of partial differential equations, to enter new arenas, such as symbolic analysis and polyhedral geometry. The proposed research projects will expand the scope of computer algebra systems (CAS) into these two new areas. They […]

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Improving reliability of solid-state nanopore sensors through redundancy and chemical functionalization

Solid-state nanopores—tiny holes in thin glass similar in size to biomolecules like proteins or DNA—are poised to disrupt many essential growth markets, including genomics and proteomics, personalized medicine, point-ofcare diagnostics, and next-generation information storage. While holding great promise as a broadly applicable disruptive technology, solid-state nanopore sensors are individually failure-prone, requiring use of many in […]

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Modeling and real-time optimization for sustainable and robust smart freight transportation platform

Urban freight transportation plays an essential role in the future of smart and sustainable cities. The emerging of e-commerce, new business models, and evolving technologies will affect logistics efficiency, policymaking, and planning in the freight transportation context. Smart freight platforms will be the next generation of shared mobility in global supply chain and logistics. It […]

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Improvement of GCxGC-MS compound identification and development of multi-omics integration techniques using a clinical stool sample set

Multiomics studies of the human microbiome have an enormous potential for understanding the mechanism of biological processes involving the microbial community and the metabolites produced by gut microbiota. We will apply a multiomics strategy to clinical fecal samples using a novel collection device to stabilize fecal metabolites at room temperature, thereby making the standard practise […]

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A Microfluidic Biosensor for Monitoring Post-Operative Drainage Fluid

Anastomotic Leakage is a common complication that can occur shortly after surgery and lead to increased mortality rates if it is detected too late. The current method of detection relies on monitoring clinical symptoms and visual inspection of the surgical drain fluid, but this process is often delayed and reactive. NERv Technology Inc. is dedicated […]

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Encrypted IoT Network Traffic Analysis for Cybersecurity

Use of clear-text for network communication is quickly becoming obsolete. End-to-end encryption of mobile applications and proliferation of TLS based encrypted traffic are fueling the growth of encrypted traffic on the Internet. Many applications tunnel traffic over HTTPS. Today, over 80% of Internet traffic is encrypted. With the recent advancement of TLS handshake, traditional mechanisms […]

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