Tracking the parasympathetic nervous system, emotions, and wellbeing in chronic pain conditions – Part 2

Wearable body sensors are groundbreaking in that they allow for continuous and unobtrusive physiological measurements. The promise is that someday soon, smartphones will monitor our bodily state and thus prevent all kinds of wellbeing implications: acute physiological issues like stroke or heart attack; less acute but still serious illness, such as chronic illnesses caused by […]

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Challenges of integrating machine learning in rock engineering design

There is an increasing interest in applications of machine learning to solve mining and geotechnical problems; this is made easier thanks to user-friendly and open source machine learning codes and improved computational power. The benefit of incorporating machine learning in rock engineering design are apparent, including the reduction in the time required to sort and […]

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Machine Learning Aided Self-Estimation of Device Position in Cellular IoT Networks

The research program in this project aims at advancing the use of cellular communications for Internet-of-Things applications. The academic researchers and the partner organization have identified three work items that revolve around the self-estimation of cellular IoT devices (1) to improve energy and spectrum efficient transmission of short and intermittent data packets, (2) to enable […]

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Technology Innovations to Improve Patient Outcomes After Spinal Cord Injury

Spinal cord injury (SCI) results in severe paralysis, for which there are no effective treatments. Advanced technologies, however, can play an important role in assisting in the diagnosis, monitoring, and treatment of SCI patients who suffer many impairments beyond the loss of voluntary muscle control. In this proposal, we will develop and apply innovative technologies […]

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The potential to co-process biogenic feedstocks in commercial oil refineries

To decarbonise, the participation of the oil industry is key. Rather than process crude oils, refineries are able to co-process biogenic feedstocks alongside their fossil fuel to reduce the carbon intensities of the fuels they produced. Our project will evaluate what’s the impact of adding these biogenic feedstocks to the existing refining units by long […]

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Developing a machine learning-based diagnostic strategy to detect early onset of double negative prostate cancer by integrating SEMA3C-associated genomic variations and blood biopsies

The main goal of this research project is to study if a protein named SEMA3C can be a biomarker for early detection of an aggressive and lethal form of prostate cancer, named Double Negative Prostate Cancer (DNPC). To test if SEMA3C is a contributing factor in the progression of DNPC, we will compare SEMA3C level […]

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Understanding Failed Forensic Science: A Research-Based Radio Documentary Series

This project enhances scholarly and public understandings of how technical scientific knowledge shapes legal outcomes, especially through the process of finding facts. Fact determination is an unregulated yet enormously consequential task for courts. Yet the law of evidence remains widely conceptualized as an essentially rule-bound domain, including in legal pedagogy. Meanwhile, despite judicial efforts at […]

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Evaluation of a Blockchain-Based Identity Management System: An Exploratory Multiple Case Study Approach

This research project will suggest guidelines that can be used by practitioners to formally represent the business benefits of blockchain. The business benefits focused on in this study are the increased financial value and the improved productivity. Formal methods will be applied to communicate these business benefits in unambiguous ways. Specifically, financial methods will be […]

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Silicon photonics-based biosensor for multiplex detection

Our goal is to research, develop and commercialize an advanced biosensor that detects many different pathogen infections and immunity for diseases such as COVID-19. We are using a new sensor technology realized with semiconductor manufacturing technology (silicon photonics) and integrated optics and electronics. Our hope is that our sensors can provide answers to individuals, to […]

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Lithium titanate nanocomposites for hybrid supercapacitors

Rapidly diversifying technologies are driving demand for power supplies that can meet a wider range of and more intermittent power needs. Main drivers include transportation, renewable energy grid connections, energy storage, and consumer electronics. Tesla has recently purchased a top supercapacitor company, Maxwell Technologies, to streamline these advancements to product integration. Supercapacitors are an important […]

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Ultra-low-power sensor interfaces for next generation IoE

This research project aims to improve the quality of life and facilitate the early detection of some health conditions by enabling wearabale devices that have a very small form factor, are highly reliable and provide continuous health tracking and monitoring. The ultra-low-energy consumption of the electronics designed in this project extends the battery longevity of […]

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The activation of Vitamin B12 from different seaweed species

This project is a collaboration between a research group from the Food, Nutrition, and Health Department at UBC and the industrial partner Canadian Pacifico Seaweeds. One PhD intern will be trained on diverse types of advanced and sophisticated analytical instruments that are connected to vitamin B12 content measurement, characterizing the bacteria strains and in-vitro bioaccessibility […]

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