This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan […]

This research project aims to significantly improve the way data are managed in a specific self-driving laboratory in the AUTODIAL group of Prof. Hattrick-Simpers at the University of Toronto, focusing on discovering new materials that are resistant to corrosion. This class of labs, known as Self-driving labs (SDL) or Materials Acceleration Platforms (MAPs), use advanced […]

Semiconducting polymers (SPs) are at the forefront of the next generation of organic electronics. They enable seamless integration into various biological and industrial applications. SPs can be engineered to be mechanically compliant and soft, giving them an advantage over silicon-based electronics. Their electronic and solid-state properties also make them promising candidates for emerging organic electronics. […]

This project aims at improving LED technology through the utilization of advanced atomically thin materials. It seeks to create a scalable method for fabricating high-performance, energy-efficient, and flexible LEDs, addressing challenges in scalability and reproducibility. By combining CVD-grown transition-metal dichalcogenides (TMDCs) with spatial atomic layer deposition (SALD)-grown semiconducting oxides, the project promises to advance research […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]