Knowledge Assisted Optimization for Production Scheduling Based on Simulation and Metamodeling

In industries, chemical processes involve different plants running in parallel with different production rates under the strict constraints on available resources. Therefore, events like shutdown of one or more plants, operating plants with different production grades with flexible run length time, different equipment utilization rates of plants are vital to be studied, scheduled, and optimized. […]

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Development and Integration of a Shaft Current Simulation for Toroidal Field Generation in General Fusion’s LM26 Fusion Machine using COMSOL Multiphysics.

This project aims to advance the development of fusion energy, a technology with the potential to provide nearly limitless, clean power for the future. General Fusion’s approach, known as pulsed fusion, differs from traditional methods by releasing energy in short, intense bursts rather than maintaining a continuous reaction. This method makes the process more controllable […]

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Real-Time Facial Animation Playback with Shader-Embedded Neural Networks

Creating lifelike digital characters is essential for multimedia and video games, with realistic facial animations playing a crucial role. This requires playing high-quality facial animations in real-time. Many existing methods either compromise on quality, require too much computing power, or use excessive memory. Our research aims to develop new techniques that ensure high-quality facial animations […]

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Utilisation de la Méthode Kaizen pour améliorer la traçabilité et la conformité des dossiers de production des produits injectables

Ce projet de recherche vise à démontrer comment l’optimisation de l’application des principes de Kaizen peut transformer les pratiques de gestion des dossiers de production, en offrant des bénéfices significatifs en termes de qualité, de conformité et d’efficacité. Commençant par une revue de littérature sur l’application de la méthode kaizen dans différents types d’industries ce […]

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Inductively heated methane pyrolysis

The partner organization intends to decarbonize it’s Canadian lime kilns. One option is to switch to biogenic sources worldwide, although doing so will still result in CO2 emissions. A preferred option is to switch to hydrogen, because it is clean and results in higher kiln efficiency. The technology described in this proposal would advance these […]

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Investigation of a prototype smart musical instrument case sensor

This research internship will investigate how a self-powered sensor can be built that continuously measures the temperature, humidity and acceleration (i.e. shocks or bumps) that a musical instrument case is subjected to. The case sensor will be able to automatically connect wirelessly to smart phones (using a custom designed smart phone application) to provide a […]

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Development of STAT inhibitors as Cancer therapeutics

The aim of the project is to develop molecules capable of treating cancer. Currently, chemotherapeutics used in the clinic kill cancer as well as healthy cells; this broad mechanism of action results in high toxicity to the patient. In contrast, our approach is to generate a targeted therapeutic that will work against STAT5, a specific […]

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Enhancing Concussion Assessment Accuracy Using Kinarm Robotic Platform: A Statistical Approach to Evaluating Neurological Deficits in Athletes

The project aims to improve how concussions in athletes are detected by using the Kinarm robotic platform, which measures sensory, motor, and cognitive functions. By analyzing data from healthy and concussed athletes, the project will develop a more accurate method for identifying neurological issues after a concussion. This will help the partner organization enhance athlete […]

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Modular Front-End Enhancement – Mohammad Mohammadifar

MedMe Health, a leader in pharmacy software solutions, is embarking on an innovative project to enhance its platform’s front-end architecture and optimize key functionalities, particularly the appointment scheduling system. As the healthcare industry faces increasing demands for efficient, scalable, and user-friendly digital solutions, MedMe’s platform must evolve to maintain its competitive edge and continue providing […]

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System and algorithm development of ballistocardiograph-based remote monitoring system for heart failure patients

Remotely monitoring the heart is crucial for reducing the hospital readmission rate of heart failure (HF) patients. However, for aging populations with physical and cognitive limitations, existing monitoring techniques such as self-management or CardioMEMS remain demanding or invasive. There is a growing need for easy-to-use and non-invasive remote monitoring. Ballistocardiograph (BCG) measures the mechanical vibration […]

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