Development of a hybrid seismic data inversion method for determining well-drilling location at complex geophysical area – Year two

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and […]

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Optimisation de la valeur à vie d’un joueur à travers son expérience de jeux

La promotion croisée a pour but de promouvoir des nouveaux produits à des clients actuels de l’entreprise. Dans l’industrie du jeu vidéo, la promotion croisée incite à installer de nouveaux jeux. L’intérêt de la démarche est de conserver dans le réseau de de l’entreprise un client risquant de le quitter. Une analyse menée au niveau […]

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Constructing data-adaptive dictionaries for robust sparse feature selection in classification of noisy electro-dermal activity data

Hypersensitivity to sensory stimuli causes overstimulation, inducing overwhelming emotional distress in individuals with an autism spectrum disorder (ASD). Reveal is a wearable device designed by Awake Labs that monitors anxiety levels in ASD children and interfaces with parents and caregivers. It predicts behavioural “meltdowns” by tracking and classifying key physiological markers of anxiety using machine […]

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Operational analysis and optimization of the delivery of HIV treatment and care in Vancouver

The continuum of HIV care is highly complex. It includes prevention, testing, patient care, treatment, and support services. This project will help Providence Health Care utilise its limited resources to provide the best treatment and care for people living with HIV in Vancouver. Care for HIV patients includes antiretroviral therapy, treatment of co-morbidities, monitoring clinical […]

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Conception d’un algorithme pour déterminer en temps réel l’affectation d’une flotte de taxis

L’objectif du projet est de concevoir un algorithme pour repositionner dynamiquement la flotte de taxis électriques de Taxelco. L’algorithme prend la forme d’un problème d’optimisation qui vise à minimiser le temps d’attente des clients. Pour ce faire, le modèle considère la demande prévue, l’autonomie limitée des véhicules, la circulation, la position des centres de maintenance […]

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Applications of Neural Network Curve Fitting Methods for Least-squares Monte Carlo Simulations in Financial Risk Management

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) […]

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Scenario optimization for robo-advisory analytics.

In recent years, improvements in technology provide the opportunity for investors to use computer algorithms to produce low-cost guidance on possible portfolio investment mixes and strategies. This project is directed at the research and development of one such “Robo- Advisor” algorithm based on forward-looking scenario optimization, in order to determine the efficacy of the strategy. […]

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Practical portfolio management beyond mean-variance analysis

Portfolio management is crucial to both individual investors and our economy as a whole. For example, pension funds have large amounts of money to invest, taking their risk and gain potential into consideration. The project partner, Alberta Investment Management Corporation (AIMCo), is one of Canada’s largest and most diversified institutional investment fund managers. AIMCo manages […]

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Quantitative risk measurement techniques for insurers

This project will assist Sun Life Financial to build, implement and validate quantitatively sophisticated state-of-the-art models of its risk portfolio. This will result in a better quantitative and qualitative understanding of company’s risk, liability and capital profile, and thus in more effective risk management decision making process.

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