The Smart Vertical Farming project will utilize smart sensor technologies and advanced computing to optimize indoor growing conditions for plants. Researchers will monitor inputs such as fertilizer levels, soil conditions, lighting, temperature, humidity and CO2 levels in real-time and make correlations to the plant growth using cameras to measure foliage density, colour and health. Advanced […]

Ce projet vise à comprendre l’impact du comportement hydraulique du réseau de distribution sur l’optimisation de la surveillance routinière de la qualité de l’eau. La modélisation hydraulique est fondamentale pour comprendre le mouvement de l’eau dans les conduites et la façon dont la qualité de l’eau se dégrade tout long la ville. Ce projet montrera […]

With the abundance of data in the current era of the industrial revolution, it would be essential to have software with offline data security features to perform data-based analysis of equipment life by identifying the factors affecting equipment failure, which leads to the loss of production. Therefore, this project aims to develop software that can […]

Chromatography is the workhorse in biologics manufacturing processes, where its performance significantly contributes to the quality outcomes of the batch, and therefore must be carefully controlled. Process modeling and simulation is the best way to provide control to the process. This proposal aims to develop a hybrid chromatography modeling approach, utilizing state-of-the-art machine learning method, […]

This research aims at investigating the structural performance of engineered bamboo composites (EBCs), namely Dragonwood, to replace traditional Canadian and tropical hardwoods used in jacking applications. Key mechanical properties and failure modes will be documented. The durability and flammability of all three materials will also be evaluated. Despite the obvious environmental advantages of EBCs (e.g., […]

Climate change, extreme weather events, and irregular rainfall patterns have made it inevitable to supplement irrigation needs in rainfed regions such as Prince Edward Island (PEI). This study aims to develop variable rate irrigation (VRI) system to supplement crop water requirements on a need basis for crops in PEI. This project will develop, implement, and […]

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Transformers are one of the key elements in electric power systems whose health ensures reliable, stable electric power for the economy and society. Partial discharge (PD) is known to be a symptom of defects in electrical insulation systems, such as those employed in transformers. Detection and localization of PD in transformers are critical to develop […]

As Canada’s economy and population continue to rise, primarily due to substantial immigration, there is an urgent need for new infrastructure, in particular, in remote regions of Canada. This can be achieved through advanced technologies to improve productivity of the Canadian construction industry while reducing the environmental impact of construction. This project proposes the Self-Deployable […]

Infrastructure facilities in Canada and many other places worldwide continuously deteriorate. Most structures either reached or exceeded their design service life. Bridges, buildings, roads, and other facilities deteriorate over time. To ensure the safety of these structures, visual inspections are routinely carried out by trained engineers. However, these visual inspections have some critical disadvantages, such […]

Due to modification ease, cost, and time-saving benefits, computational-based methods through the use of Finite Element Analysis (FEA) software programs is the main approach besides physical testing (accelerated durability laboratory test, in-service drive tests) for evaluating the life of welded structures in several industries. Based on guaranteed functionality, integrity, and life cycle robustness requirements in […]

Pour appuyer l’ingénieur lors de la conception, un nouvel outil d’optimisation structurelle basé sur l’apprentissage profond sera conçu afin de diminuer le temps requis pour générer des concepts préliminaires. Cet outil tirera profit des récentes percées dans le domaine de l’apprentissage par renforcement profond, afin d’entraîner un agent décisionnel autonome à accomplir la tâche d’optimisation. […]