Safe Reinforcement Learning for Robot Manipulation

In recent years, reinforcement learning has shown great promise in solving sophisticated decision-making problems and has also demonstrated impressive results in robotic settings since it provides robots with novel skills without tedious modeling from human engineers. The objective of this research project is to develop a pipeline that autonomously generates a control policy for a […]

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Deep geothermal energy development and optimization

The intern will conduct research to analyze subsurface conditions at a potential geothermal site by utilizing fracture assessment and optimization techniques, along with analytical solutions. In terms of fracture assessment, the intern will identify the most effective methods and parameters for stimulating the reservoir to boost productivity. This process is crucial for ensuring the economic […]

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Motorized vessel behaviour and compliance to Marine Mammal Regulations in Northeast Vancouver Island

Disturbance by boats to marine mammals, including strikes and noise, comprise the most frequent human-caused threats to marine mammals, having significant impacts on individuals, populations, and boater safety. The proposed project aims to observe boater behaviour and assess how local regulations and guidelines are used in a region with high boater and marine mammal activity. […]

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Building Manager Communication Competencies in MBA Programs

Communication skills are among the most valuable abilities managers bring to their roles. Strong communication skills are essential for workplace productivity, safety, teamwork, and employee engagement. However, research shows many managers struggle to communicate effectively. This project will assess which communication skills are important to employers, and Master of Business Administration (MBA) staff and students […]

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Implementation of Data Generated from Competitive Analysis into Investor Presentation

With increased scrutiny of early stage investment for biotech start-ups linked to economics downturn from its peak in 2020-2021, targeted investor engagement is key for a successful financing round. Despite possessing highly derisked and innovative technology, data presentation must be refined in a highly digestable manner to attract interest from notable investors and potential strategic […]

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Modélisation énergétique d’une grande tour à bureaux pour l’optimisation énergétique et la réduction de l’empreinte carbone

Le projet vise à modéliser la consommation énergétique d’une grande tour à bureaux à Montréal à l’aide d’un logiciel dans le but de simuler sa performance avant et après l’application de différentes mesures permettant de réduire l’intensité énergétique et l’empreinte carbone. Ce projet sera utile pour le client qui obtiendra des pistes de réflexion pour […]

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Thermo-hydraulic performance of Lithium Battery in extreme weather conditions

The project is part of ‘InfiniBatt’ which is a smart battery system designed and developed by Motsai. This particular task for intern students aims to investigate the thermal simulation modeling of large range temperature (-40C~50C) controlled battery systems, with an emphasis on optimizing their performance, efficiency, and safety. The study involves the development and implementation […]

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Machine Learning Associate Program || Collaborative Project with Knowd and Vector Institute

Knowd is an organization that provides codified building blocks for knowledge capture, discovery, and organization within the enterprises using retrieval-based language models. With a focus on the application of large language models (LLMs) for diverse knowledge-intensive tasks such as question answering, summarization, and reasoning. The company seeks to train and fine-tune LMs and retriever models […]

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Glacial Influence on Groundwater Dynamics: A Case Study in Guelph, Ontario

The proposed project aims to enhance groundwater resource management in previously glaciated areas, focusing on a case study from Guelph, Ontario. Groundwater plays a vital role in various applications, including drinking water and industrial processes, necessitating a deep comprehension of subsurface dynamics. However, creating accurate geological models for groundwater modeling and contaminant remediation remains challenging, […]

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Experimental and modeling approaches to optimize repetitive task analysis in the automotive industry

Despite being a significant predictor of musculoskeletal injury, mitigating muscle fatigue in automotive assembly remains a significant challenge. Administrative controls, such as job rotation and work relief, are often employed to reduce fatigue exposures, but little guidance is available on their optimal use-cases. The first objective of this project is to evaluate different relief/rotation schedules […]

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AI Global Pros : Prévision de la demande

Al Global Pros est une entreprise offrant des produits personnalisés aux besoins des entreprises. Pour un de leurs clients, ils ont développé un produit permettant de prédire la demande sur un catalogue de plusieurs milliers de produits desservant plusieurs milliers de petites et moyennes entreprises partout au Canada. Cependant, pour faire ces prédictions, ils utilisent […]

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