Self Supervised Learning of Embeddings for Semi-Supervised Track Classification

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

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A generalizable bilevel reinforcement learning model to solve large-scale unrelated parallel machine scheduling problem with sequence-dependent setups in real-time

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

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Development of 3D printable inks for wound dressing applications

it is planned to devise 3D printable PLA-PEG gels hosting st EOs (called emulgels). The primary objective of this research is to develop innovative methods to manufacture multifunctional 3D-printed hydrogels that can be applied to wound treatments. The challenges include stabilization of EO droplet in gel media along with engineering the rheological properties of emulgels […]

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Channel Modeling of Wireless Communication Systems Using Optimized Reconfigurable Intelligent Surface Arrays

The major objectives of this research are to derive the ultimate performance limits of a communication system using Reconfigurable Intelligent Surfaces (RIS), trying to reach those ultimate limits through the optimization of elements of the RIS and their configuration, evaluating the performance of physically realizable RIS based systems given practical limitations, and trying to alleviate […]

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Using Multi-Material 3D Printing to Strengthen Biocomposites with Superhydrophobic Plating

This project will focus on reinforcing biocomposite materials with a superhydrophobic plating to help improve the mechanical properties and industrial feasibility. Biocomposites are currently being widely researched because of their numerous advantages over materials traditionally used in manufacturing such as being easily recyclable, being made from materials which are found abundantly in nature, and having […]

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A Closed Loop Robotic Welding System Using Point Clouds and Drawing Data

This project addresses a flexible autonomous robotic welding system. Despite the advancements in robotic systems, there are still significant challenges in developing welding robots for industrial applications. Challenges such as accurately determining the weld seam coordinates, ensuring the electrode head remains at the correct distance from the weld seam, and mitigating high environmental noise have […]

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A Closed Loop Robotic Welding System Using Point Clouds and Drawing Data

This project addresses a flexible autonomous robotic welding system. Despite the advancements in robotic systems, there are still significant challenges in developing welding robots for industrial applications. Challenges such as accurately determining the weld seam coordinates, ensuring the electrode head remains at the correct distance from the weld seam, and mitigating high environmental noise have […]

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Fabrication of 1 D semiconducting microstructures using lithography

Modern technology relies heavily on semiconductor materials, from smartphones to solar panels. Among semiconductor materials, one-dimensional (1D) materials, such as nanowires and nanoribbons, offer exceptional electronic and optical properties. To realize the full potential of these 1D materials, it is imperative to control their synthesis and manipulate their structures precisely. In this project, we aim […]

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Development of Colour-Changing Indicator Label

Lunanos Inc. and Ryerson University’s School of Graphic Communications Management are seeking to collaborate on a six-month project to develop an innovative colour-changing indicator label that will be used in healthcare facilities to track the cleaning of various equipment and surfaces to reduce the frequency of healthcare-associated infections (HAI). In Canada, 1 in 10 patients […]

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Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]

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L2M – A handheld bioprinting platform for treating severe skin wounds

Our project focuses on developing a bioprinting technology for treating severe burns. We aim to reduce scarring and enhance skin regeneration, which can significantly improve the lives of burn victims. This technology has the potential to make a big difference in the medical field, but it’s a challenging journey, especially due to the strict regulations […]

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Mise au point d’un protocole d’impression 3D de comprimés d’hydroxyurée

L’hydroxyurée est un médicament utilisé pour prévenir les complications de l’anémie falciforme ainsi qu’en chimiothérapie d’appoint pour certaines leucémies. En pédiatrie, l’hydroxyurée doit toutefois être ajustée selon le poids de l’enfant, ses prises de sang et la toxicité perçue. Or, au Canada, seule la formulation de 500 milligrammes est disponible. Ainsi, nos hôpitaux et nos […]

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