Automated Swimming Analytics

Swimming Canada is currently working to catch up to rival nations in the areas of data acquisition from race video. To gain a significant competitive intelligence advantage over other nations, Swimming Canada needs a mechanism to gather all necessary analytics quickly, accurately, and efficiently for all athletes in a pool. Recent advances in visual machine […]

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Motion Planning and Control of Industrial Manipulators

Our project involves the use of robotic arms with six movable joints. Utilizing Inverse Kinematics, we will program the arm to figure out how to position each joint to reach specific points, offering flexibility in handling tasks. Through motion planning, we will design paths that the arm can follow to move from one point to […]

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Informative Art Simulations and Games for Improving Energy Awareness in the Home

While energy conservation in the home is an important part of reducing our ecological footprint most people do not understand or even realize how their energy consumption works and how they can manage it. In-home displays offer the opportunity to help become more aware, but often do not fit into a home’s aesthetics, typically relegated […]

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Rich, Immersive AR/VR Communication

Face-to-face communication provides substantial benefits over traditional remote communication via video and voice: the expressivity of body language, spatial grounding in a common physical space, access to physical tools and objects, and much more. For many collaborative tasks, face-to-face communication is considered indispensable, yet meeting in person can be rendered infeasible by any number of […]

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Supporting Viet Nam’s efforts toward seahorse conservation:assessing and mitigating threats to a heavily traded marine species

My project will investigate the status of wild seahorse populations in Southern Viet Nam to generate important information on both seahorse biology and seahorse fisheries. Seahorses are unique creatures that are vulnerable to habitat depletion, pollution, and, sadly, excessive fishing by humans. An estimated 20 million seahorses are traded annually for use in traditional medicine, […]

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Flexible nanocomposite films with electromagnetic interference shielding properties

The ongoing advancements in electronic equipment towards intelligence, portability, and wearability have increased demand for lightweight, flexible, and mechanically robust electromagnetic interference (EMI) shielding materials. There are textile-based EMI shields in the market; however, they are mostly reflection-based shields rather than absorption-based, which results in secondary pollution. As such, this research project is an initiative […]

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Mechanistic evaluation and validation of the neuroprotective effects CBD in an in vitro model of Parkinson’s Disease

Langara College is collaborating with Jazz Pharmaceuticals to develop an understanding of how cannabidiol (CBD) binds to targets and induces physiological changes in normal dopaminergic neurons compared to those modified to replicate Parkinson’s Disease (PD). We are submitting an NSERC CCI ARD proposal to obtain $120,000 for this project. The industrial partner has pledged to […]

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Performance study of optical wireless communications withsynchronization error in atmospheric turbulence

One key challenge of subcarrier phase-shift keying (PSK) system using coherent modulation is the synchronization problem at the receiver because the residual synchronization error will introduce performance degradation to the system. In the proposed research project, I will investigate the effect of synchronization error on performance of SIM OWC system in atmospheric turbulence. The performance […]

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Quantum-enabled feature selection for metabolomic and biometric data analysis

Metabolomics is the study of the complete set of small molecules in the human body. Analyzing metabolomic and biometric data is critical in order to detect, predict, and simulate changes in the health conditions of a patient, providing the opportunity for preventive and personalized medicine. This is generally done using machine learning, but it is […]

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Phase Discrimination and Analysis of Defects by means of HR-EBSD and Direct Electron Detectors

Advancements in the development of new materials suitable for structural applications are strongly influenced by the understanding of the governing deformation mechanisms. While these deformation mechanisms are mostly understood in simpler crystal structures of the basic metals, their fundamental understanding in complex crystals, which are frequently present in commercial alloys is still lacking. In the […]

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Improving dense crowd control using deep learning.

Animating dense crowds is essential for creating immersive experiences in game design. However, the technology driving it has seen surprisingly limited evolution since the major breakthroughs in games like Grand Theft Auto V and Assassin’s Creed: Unity, almost ten years ago. Recognizing this, our industrial partner, CD PROJEKT RED, has identified crowd dynamics as a […]

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