Evaluation of influenza virus inactivation on filter salt coatings for respiratory protection applications

Airborne pathogens can easily and quickly spread respiratory diseases. Devices currently used for protection in hospitals, such as N95 respirators, rely only on filtration. Additionally, surgical masks have been increasingly used, although not effective against aerosols. This has been observed during past pandemics and epidemics of severe acute respiratory syndrome (SARS), swine flu, and Middle […]

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Spatial Dynamic Modeling of Tropical Forest Change

The main objective of my research is to use spatial dynamic models (a combination of Cellular Automata model and Agent-Based model, short for CA-model and AB-model) to simulate future scenarios of tropical forest in the Guanacaste region, Costa Rica. It is a multi-layer model, including three layers. The top one is CA-model layer, and it […]

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Directing Development of Next-Generation Spectrally-Controlled Plant Growth

Plants are an essential part of our day-to-day lives. They provide us oxygen to breathe through photosynthesis, food and drugs for human health and well-being in addition to many materials and products for everyday use across Canadian society. For plants, light is a central to their growth, development and survival, rendering our understanding of how […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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Dual eye tracking for assessment of team cognition

Current assessment tools for teamwork are based on subjective assessment forms in general, objectively assess teamwork is a challenging task in the operating room. Laparoscopic surgery is a type of surgery that requires the surgeon and assistant to work cohesively, since the surgeon’s view is provided by the assistant consistently maneuvering the camera. We used […]

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Signal recognition with machine learning using wavelet features

The emerging techniques of machine learning and artificial intelligence are making revolutionary changes in all kinds of the industrial world. As a high-tech business solution company, Quartic.ai uses these modern techniques to help industrial manufactory companies work more efficiently. One of the challenging problems is to make the computer automatically recognize the status and behavior […]

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Assessing Statistical Bias in Credit Markets, an Application to SMEs

This research project aims to evaluate whether members of minority groups or women face higher barriers to access credit in the small and medium-sized enterprises credit market. The intern will analyze loan-level data provided by the business partner to evaluate whether these biases are detectable in the portfolio of SME loans of the business partner. […]

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Fire retardant fabrics for active workwear applications

Besides sport activities, active wear has found its way into people’s routine life because of its fashionable appearance and comfort. Active workwear is also preferred for some jobs with strenuous activities, like operators working in factories or construction fields. Each of these environments has its own list of hazards, such as fire, chemical spills, or […]

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Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]

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