Response modeling by Gene Expression Programming method in single channel and multi channel marketing campaigns

Previously in an internship with MITACS, researcher found a piecewise linear model to approximate the dependent variable. The genetic algorithm was employed to approximate the value of sales, as the dependent variable against changes on marketing efforts, as the independent variables. The outcome became a program that can approximate the actual data with three lines. […]

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Symcor Electronic Bill Presentment and Payment

This project will examine the strengths and weaknesses of electronic bill presentment and payment (EBPP) compared to paper billing. While EBPP is seen as efficient and rapid, there is an ongoing attachment to paper based billing by both customers and billers. Paper bills have a longer and higher communication impact especially with older demographics. As […]

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Étude sur la clarté à la surverse d’un décanteur

L’objectif de cette étude est d’analyser les paramètres physiques et d’opération qui contrôlent la clarté à la surverse dans un décanteur dans le but d’y abaisser la concentration solide. L’étude comprend deux volets : l’un théorique qui consiste au développement d’un modèle mathématique et l’autre expérimental pour la validation et la caractérisation. Le modèle mathématique […]

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“Accelerating grain hemp improvement with genomics”

Genomics, the study of genetic sequence of an organism, can be of great benefit to plant breeders who wish to accelerate the development of new varieties. Natural Emphasis Ltd (NE) is interested in developing hemp that will produce more grain by increasing the number of female flowers on its plants. Our project is to identify […]

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Innovative design of a sound numerical model calibration process: from lab tests to input data

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline […]

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La rémunération des dirigeants : un enjeu de gouvernance et de société

La rémunération des dirigeants d’entreprise constitue un enjeu de gouvernance de premier plan. Ainsi, la plupart des conseils d’administration nord-américains sont dotés d’un comité de rémunération. L’ampleur des sommes en jeu ainsi que l’influence potentielle des incitatifs mis en place sur les décisions des dirigeants sous-tendent ces préoccupations. Toutefois, la rémunération des dirigeants est également […]

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Imaging brain fuel metabolism in Alzheimer’s disease

Alzheimer’s disease (AD) is a major challenge for the individual affected, society at large and there only modest effective drug treatment. We believe that a central problem in AD is the deteriorating fuel supply to the brain (mostly the sugar, glucose) and this impairment appears long before the onset of memory and cognitive problems emerge. […]

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Human Motion Inverse Optimal Control Constraint Learning and Inertial Measurement Unit Sensor Design for Rehabilitation

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

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Cost Analysis of Smart Energy Network at residential to community levels: integration of natural gas, electricity and heat with end-use devices

There is growing pressure from intergovernmental organizations, governments and consumers to reduce the quantity of greenhouse gases being released into the atmosphere. Investments in green technology such as renewable energy sources, battery technology and carbon capture and sequestration can often yield significant reductions in carbon emissions. However, the corresponding economic costs of these projects can […]

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Novel Approaches for Practical Machine Learning

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]

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Embedding a Climate Change videogame in High Schools: Towards a Teacher’s Guide for Engaging Students with a Place-based Videogame – Future Delta 2.0

At the moment, BC has no comprehensive climate change curriculum in high schools, and educators lack coordinated materials to support its teaching. In an effort to narrow this gap, the Collaborative for Advanced Landscape Planning (CALP) at the Faculty of Forestry, UBC partnered with the Delta School District, to develop an educational and compelling videogame […]

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Optimizing Forest Resource Management and Small Scale Wood Manufacturing – A case study with Chief Isaac Inc. business arm of the Tr’ondëk Hwëch’in First Nations, Yukon Territory

Traditionally, the forest management practice in the Dawson City area (YT) has been clear-cut management, in which all trees of a given area are harvested. As the local First Nation (the Tr’ondëk Hwëch’in Nation) seek to become more involved in the management of the local resources, the opportunity has arisen to transition to an alternative […]

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