Development of polymer modified ATR-FTIR sensing platform for anions relevant to soil health

Soil moisture is a critical parameter in precision agriculture, which requires timely adjustments in the soil water resource management. Optimization of fertilizer and seed placement only result in producing improved yield if soil moisture is sufficient. Conventional soil monitoring techniques allows one-time soil sampling which are returned to the laboratory for soil fertility assessments and […]

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Process parameter optimization for metal additive manufacturing: experimentation

Metal additive manufacturing is a promising manufacturing technique that has attracted attentions in the recent years due to the ability to manufacture complex parts. During the process, metal goes through complex thermal treatment, which causes defects such as porosity and lack of fusion in the final part. Understanding the relationship between process parameters and parts’ […]

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Large Scan Area Nanometer Resolution AFM Imaging

Atomic Force Microscopes have gained wide acceptance as a robust tool for metrology of nanometer and atomic scale surfaces. Nonetheless, AFMs lack some key capabilities that would benefit the industries and the scientific community at large. In this project, the limited scan range (1000×1000 um2), bringing the (sub-)nano resolution AFM images into the millimeter range. […]

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Optimization models and algorithms for multi-period cutting stock Problems

Many manufacturing companies face production planning problems. Decisions that need to be taken over multiple periods include when and how much to produce of specific products, so that demand is satisfied. In this project we consider a complex production process, in which items with a customized length need to be cut from bigger objects with […]

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Process parameter optimization for metal additive manufacturing: AI modeling

Additive manufacturing (AM) is a product construction process by adding successive layers of materials according to computer-aided design models. Recently, metal AM products have been increasingly applied in aerospace, automotive, and biomedical industries. However, the complex interactions (i.e. thermal field) between metallic components and manufacturing processes make the product qualities inconsistent and unreliable, resulting in […]

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Utilizing Unmanned Aerial Vehicles (UAVs) to Improve Agricultural Production in Developing Countries Struggling with Pre and Post Harvest Food Loss

This project aims to bridge Canadian talent with the rapidly growing technology scene in Asia, and vice versa. A huge opportunity – and challenge – that the world faces in the coming years is the issue of feeding the ever increasing global population without harming the environment. Currently, the agricultural industry is failing at this […]

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Enrouleurs instrumentés pour l’auto-étalonnage et l’enseignement direct des robots parallèles entraînés par câbles

L’entreprise RBot9 a développé le RoCap, un robot parallèle entraîné par câbles (RPEC) qu’elle destine à des applications d’inspection, d’entretien et de fabrication d’aéronefs. Afin de faciliter la collaboration entre le RoCap et son opérateur, on voudrait améliorer deux aspects de ce robot : (1) on voudrait faciliter le redéploiement du robot en permettant son […]

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Deep Generative Behavior Modeling

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

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Corrélation entre les propriétés rhéologiques et physiques d’un élastomère

La production de pièces techniques en caoutchouc met en oeuvre un procédé de transformation irréversible, la vulcanisation, qui permet d’attribuer à la pièce des propriétes mécaniques qui doivent respecter des valeurs de spécifications précises. Un non-respect des critères de qualité engendre un gaspillage, car en raison du caractère difficilement recyclable du caoutchouc, la matière des […]

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Improving the performance of manufacturing processes at GE Bromont by using artificial intelligence and pattern recognition

The products manufactured at GE Bromont go through a series of processes that produce the specific characteristics of each product according to required specifications. The number of these characteristics is very large, and several characteristics are dependent on the others. This reality makes the use of traditional statistical techniques for quality control of products laborious […]

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Cooperative Model Predictive Control in the Coastal Incident Management System (CIMS)

Marine oil spills without rapid and effective response may cause a series of severe hazards such as destroying the ocean ecological environments or even impacting human welfares. Conventional responders lack the in-time response capability for these time-sensitive incidents. To this end, SHIFT Environmental Technologies Ltd., are developing a promising solution called the Coastal Incident Management […]

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