Automatic matching of service offers to calls for tenders

The process for responding to tenders is very long, arduous and involves many repetitive tasks. Among these, it is necessary to read the invitation to tender in order to find the different requirements, important dates, legal obligations, constraints of presentation of the response, etc. All of these factors are used for the prequalification of a […]

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A Serious Approach to Sickness Prevention in Motion Base Simulators

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

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Ice coverage prediction for the St-Lawrence River

This project aims at creating a model for forecasting ice formation in the St. Lawrence Seaway between the Welland Canal and Quebec City. This will improve drastically the planning of all maritime operations during the winter transition period, before the freeze-up.

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Pickup and Delivery with Smart Service Times

The research problem to be addressed is the pickup and delivery problem (last mile) with precedence constraints for the pickup/delivery operations, and time windows. The objective is: (i) the design of a new algorithm that will use the algorithm of Curtois et al. [6] as a starting point, and to generalize it with precedence constraints, […]

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Kinetics study of Recycling Process of Spent Lithium Iron-phosphate Batteries

Lithium-ion batteries (LIBs) are powering a myriad of electronic and electric devices. There are many types of LIBs used for various applications including electric vehicles, electronics, and stationary energy storage. They are mostly based on lithiumcobalt cathodic compounds. Conversely, lithium iron phosphate (LFP) is a cobalt free cathodic material that is preferred over cobalt based […]

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Machine Learning for Modeling Soil-Tool Interactions

When construction equipment digs, this generates a complex set of physical interactions between the machine and the soil. Being able to accurately simulate such interactions in real-time opens the door to improved operator training and even adaptively-tuned digging operation that optimize the energy-efficiency of construction equipment. With recent advanced in artificial intelligence (AI), this is […]

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How can hormone monitoring can improve women’s health?

Eli Health is developing a novel biosensing device to monitor sex hormones in saliva and a mobile application that leverages machine learning to interpret them. The mission of the organization is to enable women to take control of their health across their lives. It will first commercialize the device for fertility and contraception applications. In […]

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Combination of multi-horizon models for demand forecasting

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]

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Integrated Optimal CLT Building Design Considering Energy Performance and Structural Performance

This research proposed a method to conduct optimal CLT building design, which has minimum CLT usage and minimum operating energy consumption. This is a multidisciplinary research pushing the boundary of current definition of optimal design for each disciplinary to another level. With the developing of Building information modeling and automized simulation-optimization technology, the design of […]

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