FPInnovations has developed FPInterface, a software platform in which forest operations are simulated in order to estimate fibre supply costs, including harvesting and transportation. It currently has 7 sub-modules including MaxTour and FPAlloc. The goal of this project is to develop and validate optimization techniques in order to implement new sub-modules to FPInterface that will […]

Pratt & Whitney Canada (PWC) seeks to improve the monitoring of its machining process aiming to reduce cost and prevent the tools, workpieces and machine damages during the machining. To achieve this improvement, data mining and advanced artificial intelligence technique which called Logical Analysis of Data (LAD) is used. LAD has ability to identify conditions […]

Acidification of fetal blood presents one of the greatest risks to the fetus during childbirth. Current monitoring technologies focusing on recording fetal heart rate are poor indicators of fetal stress levels, and provide minimal assistance in clinical decision-making. This is due to a lack of understanding about which features of fetal heart rate best represent […]

Diseases, there are a number of different serotypes that can cause infection. The vaccine is often targeted towards one or some of the serotypes. There is accumulating evidence that when serotype-specific vaccines are used, other non-vaccine serotypes may gain a competitive advantage and spread in larger magnitudes. This has raised the concern of serotype replacement […]

Harvesting energy from renewable resources, such as wind and ocean waves, is an important issue facing our world today. With the increase in carbon dioxide levels in the atmosphere, there is a need to move away from nonrenewable resources and to find new methods for capturing energy. Wind turbines operate most efficiently within a narrow […]

Machine learning is the concept where a computer can be trained to recognize data and predict future outcomes based on the trends that exist in the data. This method of analysis has not been used on engine data, specifically in-line oil. Oil is an engine’s lifeblood and a lot of data can be collected and […]

InteliRain Inc. has developed an effective sprinkler system producing excellent uniformity water distribution for regular or irregular areas but using 30% less water compared to most existing standard industry system. However, the performance of the InteliRain system deteriorates rapidly when it is tested in an open field with wind effect. In this project, the intern […]

Traditional insurance models build on the assumption of independence of risks. One of the main causes of the recent financial crisis, this assumption has facilitated the quantification of risks for decades, but it has often lead to risks’ under-estimation and as a result under-pricing. Importantly, one of the prime pillars of the novel concept of […]

The goal of this project is to create a statistical model to forecast the future price of steel, which will rely on sector indexes and material prices. We will identify which variable has the most explanatory power. Multiple models will be created to identify the one that performs best. In order to increase the accuracy […]

Natural disasters that are associated to the atmosphere (known as atmospheric perils) such as hurricanes, tornadoes and hail, flooding, drought, and wildfire, caused over $100 billion in damage throughout the world in 2015. Insurance companies often cannot afford to be responsible when such catastrophes occur, and so they purchase insurance to protect themselves (called reinsurance) […]

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. […]

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) […]