Atlantic Canada has the highest rate of CRC in Canada and NL has the highest incidence of familial CRC worldwide. This study is being undertaken primarily to reveal the underlying molecular mechanisms associated with the high rate of CRC in Atlantic Canada, particularly the well-documented familial CRC in NL. We expect to define novel genetic […]

The forWater Network, funded by the federal government as well as industry partners and provincial governments, is a national research network looking into the impacts of forest-management strategies on drinking-water source quality and treatability. forWater Network researchers at Dalhousie University (including Duinker, the supervisor in this application) are working with Halifax Water and Westfor Management […]

Although COVID-19 is considered a respiratory illness, the genetic material of SARS-CoV-2, the virus that causes COVID-19, has been found in the feces of people infected with the virus. It is known that the virus survives longer in the gastrointestinal tract than in the respiratory tract. As such, wastewater has been used to determine the […]

Researching AI concepts and technologies – Search for peer-reviewed, state-of-the-art methods – Implement features and evaluate effectiveness – Develop new/modified methods for applying to our project specifically Deep Reinforcement Learning model training and validation – Train RallyAI using different algorithms – Might be involved implementing/designing algorithms – Examine training logs for learning trends – Validate […]

This project deals with the development of a new mathematical model and a fast solution method to optimize the multi-calendar naval surface ship refit scheduling problem with resumable and non-resumable operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent […]

The purpose of this project to empower Atlantic Canadian Beef Producers to understand the unique success factors for beef production in the region and identify opportunities to improve their cost of production while mitigating environmental impacts based on the on-going work of the Beef Cattle Research Centre on the Canadian Cow-Calf Cost of Production (CDN […]

Within the Canadian context, poultry farmers are constrained by regulations that predetermine chicken prices and market supply. As a result, they are limited in the approaches they can take to improve the profitability of their operations. Within this regulatory framework, farmers must rely on measures that can be applied on their farms to improve chicken’s […]

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In livestock, RL of female breeders is a key productivity factor, especially for dairy cows. The genes that determine RL in humans are potential sources of diagnostic and therapeutic innovations for fertility and reproductive health. The proposed research aims to identify […]

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, […]

The project seeks to discover the optimum design and commercialization strategy for newly developed sandwich structures derived from recycled plastic for the civil engineering sector. The sandwich structures are highly sustainable and could potentially consume large amounts of the rapidly produced plastic waste. The final sandwich product would have the potential to be used in […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]