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 measurement.

Suitability of indigenous wine yeast strains identified from spontaneous fermentation as wine fermentation starter cultures

The Measday lab at the University of British Columbia Wine Research Centre has been collaborating with Okanagan Crush Pad (OCP) winery since 2013 to isolate native yeast strains present in OCP vineyards and winery. OCP is an organic winery and routinely carries out natural grape juice fermentations where no commercial wine strains are inoculated into the tanks to allow the natural microflora present on the grape berries to carry out the fermentation and showcase the terroir of their vineyards.

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 industries, to governments, and to policy makers.

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 technology used in the power supply industry, supplementing conventional batteries by offering higher power and longer lifetime.

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.

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 applied to quantify the financial value and conceptual modeling methods will be used to model the business processes related to the blockchain technology.

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 in tissues from patient and healthy individuals. Then, we will study if SEMA3C level changes in parallel to genetic variations, happening in tumors with cancer growth.

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 gatekeeping for reliable science, forensic expertise continues to feature in miscarriages of justice.

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 term operations and what we can expect from the future more challenging biocrudes when they are available. The result of the work can be used by the refinery to further improve their process.

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 cellular non-terrestrial communication with low-cost devices, and (3) to help realize tracking applications that can benefit from device-to-device communication.

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