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 […]

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 […]

The proposed Mitacs E-Accelerate project aims to develop the application of 3D-printing technique, and facilitate the transformation from conventional fabrication methods to newly developed additive manufacturing technologies for Canadian industrial sectors. One of the main barriers that prevents the wide-spread utilization of 3D-printing technique is the uncertainties in the resultant performance of the as-printed parts. […]

The proposed research aims to demonstrate the performance of effective, non-proprietary moment connections for wide-flange (W-) beams to rectangular hollow section (RHS) columns in limited-ductility (Type LD) moment resisting frames (MRFs) that are easy and cost-effective to fabricate, handle, and erect. Two W-beam-to-RHS column moment connection prototypes will be developed and tested, in duplicate, at […]

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 […]

The oil and gas industry is in the top five largest sectors in the world in terms of dollar value, generating an estimated $3.32 trillion in revenue annually. It is estimated that 40-60% of workforce in the oil and gas industry will retire in the next five years, so preserving the knowledge stored in documents […]

This research project involves the development of signal processing techniques in order to analyze the integrity of blood specimen during blood sample transport in hospitals using the pneumatic tube system.

Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the […]

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability […]

Corrosion under insulation (CUI) is among the major damage mechanisms acting in Oil & Gas processing plants and chemical industries that causes process leaks, and the failures of thermally insulated systems. The hydrocarbon leaks from CUI result in the increased carbon footprint and can even cause catastrophic fires. CUI triggers from inevitable moisture ingress in […]

With the global pandemic effect, the market is experiencing a significant transformation, with robotics to adopt the roles of delivery vehicles and personal assistants. Atlantic Business Express is looking at bring the service robots to Canada, starting in Nova Scotia through working with Dalhousie University. The project is to develop intelligent path planner for mobile […]

Apples are among Canada’s most valuable fruit crops, and the improvement of apple varieties is crucial for the success of the industry. Breeding apples is expensive and time consuming, requiring decades of investment. A better understanding of the relationship between genetics and fruit traits will allow for more efficient breeding. Current apple breeding techniques make […]