UVIC CS Data Science Research Program Pilot

Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, […]

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Customized LLM Workflow Automation Platform

Design and deploy a system that allows users to utilize specific generative AI models such as Large Language Models in order to fine-tune them on data specific to a particular domain to perform large-scale data analysis, prediction, and various outputs.

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Agricultural Reclamation: Building Resilience for Turbulent Times

Reclaiming degraded land for food production is a major global challenge. The turbulent waves of extreme weather experienced across western North America over the past year continue to shake agricultural producers – farmers must contend with both extreme rainfall and drought while still maintaining financially and ecologically viable systems. This research project will determine the […]

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CanDo: A Smart App for Cognition

We propose to leverage social networking in a series of apps designed to improve the quality of life for persons with cognitive disabilities. We believe the success of companies for recreational athletes, some with over 15 million users, is linked to motivation and partnering, in addition to the analysis and tracking features. Building on our […]

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Retro Active Data Analysis (informing clinical care)

The proposed project will determine how the Opto-mization Neuro-Visual assessment captures improvements in a patient’s vision over time and in response to treatment. To accomplish this, the Neuro-Visual assessment database will be organized into a library with data from all patients who completed the assessment, every time they completed the assessment, with a custom MATLAB […]

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Mathematical modeling of vertebrate retinal cone photoreceptor patterns

Cone photoreceptors are specialized cells in the retinas of vertebrates that absorb light to permit daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two apposed cones with elliptical cross section. In many vertebrates, cones are organized into repeating, lattice-like mosaics. The two […]

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Raman Quantification of Cancer Biomarkers for Early Lung Cancer

The intern will help Biomark Technologies to develop an new optical detection method, which is faster, less expensive and requires less expensive infrastructure by using Surface-Enhanced Raman spectroscopy (SERS), which will be suited to large scale market adoption. By the end of project, the intern will develop: 1) a SERS detection platform that is low […]

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L2M Validate East Health program – Market Analysis for a Real-Time Viral Detection Breathalyzer

We proposed a breath analyzer to identify viruses by utilizing an affordable fiber coupler. This sensor captures the optical absorbance spectrum, which contains the unique signatures of viruses present in the breath. The device is user-friendly: simply exhale into the analyzer to receive results. Our product addresses the traditional challenges of virus detection, eliminating high […]

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