In this project, we propose two diagnostic tools that can identify dynamical processes in various fuel cell operating regimes, using the difference in the time constant of these processes. For example, conductive transport of electrons is faster than diffusive transport of gasses. We oscillate current and pressure at different frequencies, and measure the cell voltage. […]

Turbulent flows are complex patterns of fluid motion commonly encountered in nature and engineering applications. Turbulence involves various spatial and temporal scales of motion, making it challenging to measure accurately. This project aims to understand the nonlinear, multi-scale dynamics of turbulence. By utilizing an advection-based method, this work proposes a technique to enhance the temporal […]

Perovskite solar cells are a specific type of solar cell that has become popular in recent years due to their low making cost and higher ability to produce electricity from sunlight. My research project aims to train a neural network that can help predict different characteristics of a perovskite solar cell, thus helping to increase […]

La désagrégation du béton est une des principales causes de dégradation des dalles des tabliers de ponts et des dalles des toits des chambres souterraines. Cette dégradation est invisible car ces dalles sont recouvertes soit d’un béton bitumineux, soit d’un remblai. Le présent projet de recherche a pour objectif d’étendre les applications de la technique […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and […]

This project is a collaboration between Queen’s University and BBA Engineering Consultants. With a shortage of mining and mineral processing engineers across the country, BBA is looking for way to attract more students to study mining engineering and for ways to expose their EITs from other engineering disciplines to topics in mining and mineral processing. […]

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]

This research improves atopic dermatitis (AD) detection, a common type of eczema, which affects about 20% of Canadians. AD causes dry and inflamed skin due to a lack of a key protein, making the skin barrier less effective against moisture loss and allergens. Current treatments like moisturizers and steroids can have side effects, and diagnosing […]

This study aims to promote and advance the application of Offsite Construction Manufacturing (OSCM) by developing a BIM-enabled Decision Support System (BeDSS) to select and execute a suitable Industrial Building System (IBS) for a given construction project. The specific objectives of this research are as follows: – To perform an OSC feasibility study of a […]