Development of Autonomy for Log-loading Machines in Canadian Mill Yards

The timber-harvesting and processing industries anticipate that the use of robotics and AI technologies will increase productivity, safety and job satisfaction of machine operators to help address the shrinking labor force. We have engaged with our partner, FPInnovations, on research to increase the autonomy of log-loading machines with the goal to demonstrate the technology on […]

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Use of scandium to control titanium alloy properties

Scandium (Sc) is an attractive alloying element that has strong affinity with oxygen (serving as deoxidiser) as well as a strong affinity with aluminum for the development of Al3Sc precipitates that can strengthen materials. Currently, the availability and cost of Sc is preventing its wide utilisation as alloying element. The recent announce by RTIT of […]

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Synergistic effects of biological sex and sleep loss in an AD mouse model.

Women have a two-fold risk of developing Alzheimer’s Disease (AD) compared to men, though the cause of this risk remains largely unclear. Several studies have proposed female-specific risk factors (such as menopause) and modifiable risk factors (such as circadian disturbance), that could contribute to the exacerbation of AD pathology and symptoms through inflammatory mechanisms in […]

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GIS and AI for the recognition and mapping of power grid assets

(1) ESMIA offers expertise in modeling integrated 3E (energy-economy-environment) systems for strategic decision-making at the municipal, regional, national, and global levels. ESMIA’s expertise is recognized by numerous private sector clients and various levels of government in Quebec, Canada, and around the world. ESMIA’s goal is to provide solutions that enable the achievement of energy security […]

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Training for Transformation: An Initiative to Embed Climate Resilience in Engineering and Infrastructure Practices

This internship project supports the development of a global training initiative led by the Climate Risk Institute (CRI) in partnership with the World Federation of Engineering Organizations (WFEO), aimed at enhancing engineering and infrastructure climate resilience worldwide. Over a four-month period, the intern will contribute to the design and development of training materials across three […]

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L2M-Quiecean

Quiecean develops a Cold Atmospheric Plasma (CAP) device that reduces underwater noise and pollutants to protect marine ecosystems. The project validates its technical design and business model for commercialization in Canada’s blue economy.

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L2M – SeeVita: AI-Powered Contactless Realtime Vital Sign Estimation

Accurate and accessible blood pressure monitoring remains a challenge for individuals, wellness providers, and organizations such as insurers that require reliable health data. Existing cuff-based devices are often inconvenient, intrusive, and unsuitable for continuous or large-scale use. There is a growing demand in the wellness, fitness, and insurance industries for technologies that make health monitoring […]

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Quantum Simulations with Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDEs, fractional equations, and eigenvalue problems, making them particularly suited for quantum mechanics, where traditional numerical methods often face computational bottlenecks. The aim of this internship is to analyse the applicability of PINNs to a broad range of quantum simulation tasks such as […]

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Macro and micronutrient measurements in hydroponics

Environmental conditions (temperature, humidity, light, air movement, CO2 and nutrient levels) are carefully monitored in controlled environment agriculture (CEA) to optimize indoor crop production. Irrigation management is prioritized to ensure nutrient availability to plants, water use efficiency, prevent plant nutrient diseases, maximize crop yield and boost desired phytochemical profiles for a given crop. Automated irrigation […]

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Validation of a novel markerless motion tracking system for telerehabilitation

Physical therapy is a major modality in the treatment of patients with chronic musculoskeletal and neurological pain; however, current virtual reality (VR)-based solutions are unable to precisely capture full body motion leading to motion sickness and VR game design challenges. In this proposal, we aim to validate the accuracy of the AReve Health motion capture […]

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Using environmental nucleic acids to monitor fish diversity in the main tributaries of the St Lawrence River

This project investigates how human pressure affects fish communities in the St. Lawrence River tributaries through a collaboration between the Comité Zone d’Intervention Prioritaire du Haut St-Laurent (ZIP) and PhD student Simone Miklosi. Together, ZIP and Simone developed research questions, selected sampling sites, and identified key environmental variables to assess. To support the collaboration a […]

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