Physics-enhanced machine learning to optimize a state-of-the-art manufacturing process

We are bringing together modern techniques in Bayesian machine learning to optimize process parameters for a state-of-the-art semiconductor fabrication process. The challenge is that while the process contains complex underlying dynamics and some degree of stochasticity, there are a large number of process parameters and a small number of samples to use for model training […]

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Optimization of key-to-key collision repair process system

The intent of this project is to reduce the cycle time in the vehicle repair process across the Carstar network. The project also includes developing process models that will help in guiding Carstar to reduce cycle time in major process steps for all stores of varying size and disparate locations. During the process of investigation […]

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Development of quantum dot fluorescent probes/contrast agents

Iron-based nanoparticles can not only be used in sensitizers or absorbers but also retain excellent electrical conductivity, optical, electrical, and magnetic properties. So far, very few synthetic methods are known to implement stable Iron-based nanomaterials. We propose to develop novel synthesis routes to produce QDs. In addition, we plan to develop surface modification processes to […]

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Development of a technique for radioactive source term detection and realtime analysis for low-level radioactive waste

Nuclear power currently provides approximately 50% of Ontario’s electricity. Operation of nuclear power plants produces a variety of radioactive waste. In particular, low-level radioactive waste makes up about 95% of total non-fuel waste volumes. To reduce volume, low-level materials must be sorted to determine if their radioactivity has sufficiently decayed and they can be safely […]

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Inhaled allergen challenge methodology: Assessment of SOLO Vibrating Mesh Nebulizer for Allergen-Induced Late Asthmatic Responses

The allergen inhalation challenge model is an important research technique for asthma drug development, and has been used for many years by the AllerGen CIC consortium of Canadian investigators in their evaluations of new asthma therapies. An alternate nebulizer is needed for performing inhaled allergen challenges, and this device needs to be tested for its […]

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Sensory Disinhibition, Cognitive Flexibility and the Neural Correlates Underlying Post-Traumatic Stress Disorder (PTSD): A Simultaneous EEG-fMRI Study

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]

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Exploring the Context for Social Prescription in the Hamilton and Halton Region

Life circumstances that influence people’s health (e.g. education, employment, housing, and social support) are called social determinants of health (SDoH). Interest in improving SDoH is growing as chronic diseases become more prevalent. Social Prescription (SP) is a model from the United Kingdom where a health care provider “prescribes” social or community programs that increase a […]

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Supporting Capacity Building and Resilience in the context of COVID-19

Non-profits have been negatively impacted by COVID-19 and many have closed their doors. This is a problem: non-profits are crucial to Canada’s social safety net, they serve marginalized populations to build greater resilience. This research intends to determine how United Way Halton and Hamilton (UWHH) and United Ways across the country can best support non-profits […]

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Design Assistant Tool for Switched Reluctance Motor Drives

Switched Reluctance Motors have gained considerable attention in various applications such as vehicle electrification due to its advantages such as simplicity, robustness, compactness, and low-cost. The proper, and efficient operation of the SRM triggers the requirement for an optimal motor drive design. Traditional converter design in power electronics has some limitations such as slow time […]

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Design and Optimization of the product platform for AIS mobile robots

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas. All of the complex […]

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