The primary objective of this project is to develop a comprehensive additive/subtractive manufacturing system encompassing hardware, sensors, and software for the automated production and repair of non-critical custom industrial equipment. This innovative system integrates AI and 3D computer vision to provide robust control, continuous monitoring, and effective failure identification. Featuring a groundbreaking PC/PLC-based communication architecture, […]

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

The design and manufacturing of dies and molds represent a significant link in the entire production chain. It is on the critical path of development of many products, such as automobile and consumer electronics. The tooling development industries always meet three challenges: the demand for research and development speed, the high requirement for labor skill, […]

Cancer management continues to be a global problem (WHO report 2022) – mainly because cancerous solid tumors (found in more than 40% patients, and in all types of cancer) become metastatic, therapy resistant and poor-responding to conventional chemo-/radiotherapy due to a condition called hypoxia (tissue with low levels of oxygen). Due to poor tumor vasculature, […]

Psychological stress could be an important indicator of comfort with a task, particularly for training in safety-critical fields such as public safety. Continuous stress monitoring emerges as a valuable tool for improving and individualizing training, offering instructors a more comprehensive understanding of each student’s overall task comfort and enabling timely interventions based on stress levels […]

This project aims to enhance smart farming by improving the scalability and accuracy of two commercial products, SWAT CAM and SWAT MAPS, owned by Croptimistic Technologies Inc. These products are used for precision mapping on over three million acres of land across four countries. The project will utilize machine learning to identify crop parameters such […]

The construction industry heavily relies on mobile cranes for the off-site modular construction, emphasizing safety in operations. Despite standardized hand signals, inadequate and interrupted communications between mobile crane signalmen on the ground and crane operators pose significant risks of accidents, especially during blind lifts or lifts in severe weather. This research project aims to develop […]

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The main objective of this project is a comprehensive methodology that combines automated core characterization and AI methods to accurately forecast the geoenvironmental parameters of a deposit. By developing predictive models, this approach will enable the creation of a 3D geoenvironmental block model for the targeted deposit. This model will facilitate the prediction and optimization […]

L’objectif de ce projet est de développer les matériaux biosourcés en collaboration avec les membres chercheurs au Canada, en France et au Brésil. Ce volet sera divisé en trois sessions mais la stagiaire Mme Khouloud Swalmi participera à la session sur la production de matériaux biosourcés, spécifiquement de gels à base de tanins commerciaux venant […]

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In power systems, dynamic simulation studies are required to ensure safe and secure operation of electrical grid. In these studies, different devices, such as generators and transmission lines, are represented by a mathematical model with a number of predefined parameters. The accuracy of the simulation studies highly depend on the models used for different components. […]