In this project I will develop a computational framework for the automatic detection of task-related biomarkers in PD patients during speech production. This framework will help us to predict the timing of electrical stimulation in STN with the purpose of understanding the role of STN in encoding different aspects of speech production. To achieve this […]

In order to ensure accuracy and efficacy with Drive Hockey’s proprietary tracking enabled hockey pucks, the BCIT intern would perform physical, performance, and signal processing testing. The objective is to produce a set of baseline lab test data for us to compare our tracking enabled puck to an official puck (or possibly two different brands) […]

This project aims to provide a solution to a critical problem in existing superconducting quantum processors by developing methods to create long-range interactions. Superconducting qubits are one of the most promising platforms for building quantum computers. Currently, quantum processors based on this technology offer the largest quantum memories, but do not benchmark well in terms […]

Most residential houses in Canada are built with wood frame. Brick veneer is installed on the outer surface of the wood building to provide an elegant brick-finish look. Steel shelf angles are mounted on the word frame of a building to support the brick veneer’s load. Installation of shelf angles requires installation of through bolts […]

In this research proposal the application of a sensory technology such as Radio Frequency Identification Device (RFID for improving construction site inspection is investigated. For that, the joint use of RFID and Autodesk BIM 360 platform is investigated in order to improve the site inspection by providing more automated 3D visualization of the site for […]

Carbon, nitrogen, phosphorus and micropollutants are primary environmental stressors that pollute lakes, drinking water wells, and streams. They originate from human activities and come through point and non-point sources. In the case of point sources, wastewater treatment plants (WWTPs) must remove these stressors before discharge into water bodies. Driven by population increase and climate change, […]

We will explore a low-carbon hydrogen pathway, i.e., renewable power-to-ammonia (P2A) production and distribution to connect the hydrogen economy between Canada and Germany. Ammonia is a commodity for fertilizer with mature production and distribution infrastructure. However, careful analyses are required to evaluate its potential as a hydrogen carrier for energy and trade. A combined techno-economic […]

There is a large interest in the more accurate snow loss estimates for solar photovoltaic (PV) systems as large-scale deployments move into northern latitudes. There have been many studies on different types of PV systems and different types of modules. Preliminary results show bifacial modules may clear snow faster than monofacial PV. This study will […]

Remote sensing of Earth using hyperspectral imaging satellites has become an area of key interest for civilian end-use applications in areas like agriculture, forestry management, flood risk assessment, minerology, and environmental monitoring. The aim of this project is to research and develop a hyperspectral camera payload for a CubeSat constellation. The success of this project […]

The developed software product by the qualiTEAS team requires more data to train machine learning-based algorithms. The general objective of this project is to improve the final product of the qualiTEAS team through implementing the innovative design of experiment techniques. The current project will help the qualiTEAS team overcome current challenges and barriers towards improving […]

The COVID-19 has changed dramatically the educational environments in all countries over the world. Due to the pandemic, online education has played an important role over the past two years while in-person classroom teaching had to be prevented. Under the present pandemic circumstance, although a quite number of courses at many universities had being held […]

This project will apply causal discovery methods to two model-generated datasets. One is a dataset describing the transport of emerging contaminant metformin in the groundwater; the other is a card fraud transaction dataset. The method will examine the dataset’s underlying structure (data skeleton). Multiple new methods will be evaluated and tested on the datasets. The […]