Automation of the manufacturing process design

Automation is generally perceived as the application of physical robots to replace the human workforce to complete a specific task. However, automation can also appear in the design process where it replaces the repetitive computations and lookups by a human. In the latter case, automation reduces the risk of human error and highly increases the […]

Read More
Perioperative Opioid Usage Quality Improvement [CDTS-PDF1]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Read More
Perioperative Opioid Usage Quality Improvement [CDTS-PDF1] – Year two

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Read More
Perioperative Opioid Usage Quality Improvement [CDTS-PDF2]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Read More
Perioperative Opioid Usage Quality Improvement [CDTS-PDF2] – Year two

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Read More
Genomic tools development for international high sea salmon research

Pacific salmon spend most of their life in the open ocean, where we know little about the factors influencing their health and abundance. Last year, we participated in the first expedition to explore the winter habitat of salmon the Gulf of Alaska. We collect samples to inform ongoing research projects focusing on salmon health and […]

Read More
Synthesis of Fluorinated Cannabinoids

The recent legalization of marijuana has sparked renewed interest in studying the health benefits of the non-psychoactive cannabinoids. Cannabidiol (CBO, 1, Figure 1) has emerged as a promising medicinal candidate due to its potential for the treatment of anxiety, and chronic pain. In 2018, the first CBD-containing drug, Epidio1ex, was approved by the FDA for […]

Read More
Design of Advanced Control Systems for Electron Beam Additive Manufacturing

Additive manufacturing is making tremendous strides in transforming the manufacturing landscape. While there now exist many new technologies for performing additive manufacturing there remain significant challenges in reducing part cost, part rejection rates and overall part quality. A big part of the work that remains to be done is in better understanding the relationship between […]

Read More
Extensive post treatment monitoring project: barrier remediation on salmonid streams in British Columbia

Out-dated culverts are the most numerous barriers to fish movement and habitat connectivity in British Columbia, barring juvenile salmonids from thousands of kilometers of freshwater rearing habitat. The Canadian Wildlife Federation (CWF) has untaken an initiative to strategically remediate culverts in B.C. for improved juvenile salmon habitat access. However, the impacts and restoration requirements of […]

Read More
WiFi-based Driving Activity Recognition in Vehicles

With the increasing requirements for smart vehicles in recent years, driving activity recognition in vehicles becomes a promising direction given its unique advantages in safe driving and human-car interaction. It can not only alert the driver when there exist distracted driving behaviors but also enable novel human-car interactions with gesture-based control. Most state-of-the-art systems use […]

Read More