In this postdoc, we plan to focus on computer vision tasks where existing deep learning methods require lots of labeled samples to work well. Acquiring labeled samples is time-consuming and often impractical. Thus, we investigate three different classes of methods to alleviate the label scarcity problem: active learning, weakly-supervised learning, and few-shot learning. In active […]

Mining is important to the Canadian economy but also generates large quantities of waste rock. Water percolating through some waste rock piles dissolves metals that can become hazardous to ecosystems. Laboratory tests are used to simulate this process. The intern will examine a suite of samples from a multi-year laboratory test to identify the source […]

We have a new technology at the Heart Valve Performance Laboratory, University of British Columbia, Okanagan Campus, which can be used for the new generation of the facial mask. This biomaterial which is highly hydrophilic will be utilized for the construction of a water-based air-filter mask because it is practically 99% water and 1% polymer, […]

The development of autonomous unmanned aerial vehicles (UAVs) is a growing area of interest. An important step in the creation of a fully autonomous flying vehicle is the ability to precisely and smoothly land on a target. The goal of this research is to develop a UAV landing system that is able to track and […]

This project is in response to the COVID-19 pandemic and aims at developing a self-disinfecting personal protective equipment (PPE), such as goggles, and face shields, that are crucial to the safety of frontline workers. The low-cost, easy-to-implement fabricated end-product can be applied in both production and retrofit contexts. The approach embeds a thin layer of […]

The intern will work with the company PBE Expert on the field; she will gain technical experience on the cannabis industry. Specifically, she will research and work on cannabis extraction and purification techniques. She will research problems and issues faced by cannabis producers in regards to the extraction and purification techniques. In the lab, she […]

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. Furthermore, lack of employment means individuals lose out on a myriad of mental, emotional, and physiological benefits that are generated through work. This is extremely relevant given the current COVID crisis where personal distancing and […]

COVID-19 has introduced significant challenges to healthcare systems and caregivers to provide quality care to older adults and adults with developmental disabilities (DD) living in long-term care facilities (LTCFs). As a result, regular doctor visits are limited, family visits are banned, and demand for caregivers is on the rise. Utilizing a Collaborative Service Robot (CSR) […]

Utility planners require an understanding of how and when energy is used among their customers. Hourly “load shapes”, that represent facility electricity of natural gas use for each hour of the year, often disaggregated into individual “end-uses” such as space heating, lighting or water heating are the most detailed information of this type typically available […]

A central venous catheter (CVC) is a thin, silicone tube that a doctor may insert into the vein of a patient to deliver medications directly into their bloodstream. If the patient does not need constant medication, nurses fill the CVC with salt water to keep the tube open. This is called ‘locking’ the CVC. Because […]

This proposed project will asses the effectiveness of Engineered Floating Treatment Wetlands (EFWs) for nutrient, pharmaceutical, and Antibiotic Resistant Gene (ARG) reduction in municipal wastewater treatment sewage lagoons. The project will involve controlled smaller scale experiments and a pilot scale real-world study conducted at the Village of Dunnottar sewage lagoon. Floating treatment wetlands will be […]

Healthcare facilities collect and produce vast amounts of clinical-relevant data. Various AI-related methods (like computer-aided detection for mammography and the learning and visualization of clinical pathways) are applied to healthcare these days, and visualization techniques are also used to support clinicians due to the complexities of clinical data. This self-contained survey focuses on the assessment […]