Development of Deep Learning Techniques for Predicting Dynamic Responses of Local Elements in Complex Structural Systems

In our proposed project, we aim to predict the behavior of large structures like buildings and bridges and key devices upon the large structures in response to natural hazard such as earthquakes. By combining cutting-edge deep learning techniques with the multi-fidelity concept, we’re developing a deep learning model that can predict the response time histories […]

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Learning based MPC for tissue manipulation

Robot-assisted surgery (RAS) has revolutionized surgical procedures, offering advantages over traditional methods. Currently, surgeons control robots for tasks like suturing and organ resection, leading to physical strain while the robot helps at the lower level by scalling down the movement and reducing hand tremor. These tasks are intricate and demand high dexterity and skill, leading […]

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Waste Transfer Station

The project: City of Iqaluit Waste transfer Station. The project includes the installation of a biomass boiler system. It consists of specialty mechanical equipment like biomass boilers, conveyer belts, screw conveyers, duct collector etc. Opportunities: The Waste transfer Station project is a facility that will help City of Iqaluit to better process the waste and […]

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Embedded Philosophy in Near-Living Architecture

The intern will investigate the architectural potential and philosophical merit of Near-Living Architecture, a design that allows environments to be aware and empathetic to their occupants. To do this, the intern will edit and contribute to the upcoming Near-Living Architecture Monograph, a written work describing the vision, execution and future applications of research conducted by […]

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Experimental investigation of the icing of a drone rotor in wind tunnel

A collaboration between experts in the domain of drone icing. A drone rotor will be installed in an icing wind tunnel to simulate flying under different atmospheric icing conditions. The resulting ice accumulation on the rotating blades will be studied as well as its effect on the drone performances and ability to fly. Scans of […]

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Stop-level probabilistic demand forecasting for public transit services

This project aims to develop advanced statistical methods to forecast how many passengers will be waiting at bus stops at any given time, considering various factors such as weather and special events. This project will do two main things. First, we will forecast the overall number of passengers over a given period, such as an […]

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Research on anisotropic friction of ferroelectric polymer via atomic force microscopy

This project aims to explore the mechanical behaviors of ferroelectric polymers, focusing on P(VDF-TrFE), through atomic force microscopy (AFM) techniques. By investigating the frictional properties of P(VDF-TrFE) and similar materials using AFM-based methods such as transverse shear microscopy (TSM) and friction force microscopy (FFM), the project seeks to uncover the relationship between electrical polarization and […]

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Advancement of the Minpraxis Tester using AI Technologies

The proposed project focuses on progressing development of the Minpraxis Tester (MPT), which was developed to revolutionize the characterization of rock masses and improve the likelihood that mines perform as planned. The MPT provides a degree of rock characterization that is unequalled by conventional methods. The technology measures continuously along core samples, providing an unmatched […]

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An automated cloud-based pipeline for Preclinical MRI Analysis

The proposed research project is aimed at developing an automated MRI-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies and has the potential to re-define the world of early drug development.

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Novel therapeutic development for early-stage abdominal aortic aneurysm treatment

Abdominal aortic aneurysms are a critical cardiovascular disease with a mortality rate over 80% when ruptured. With limited treatment options, especially for early-stage aneurysms, this project proposes the use of a novel therapeutic to limit growth and effectively treat early-stage AAA. The overall objective is to develop and evaluate the efficacy of stem cell delivery […]

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Analyse du comportement vibratoire des escaliers monumentaux

Ce projet de recherche vise à améliorer la conception des escaliers monumentaux en étudiant leur comportement face aux vibrations. Les stagiaires utiliseront des modèles informatiques et réaliseront des essais sur de vrais escaliers pour mieux comprendre leurs réactions dynamiques. L’objectif est d’ajuster les normes actuelles pour garantir des escaliers plus sûrs, économiques et confortables. L’organisation […]

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Machine learning techniques for developing virtual sensors of water flow rates in building cooling systems

The scope of this project is the development of virtual sensors that use mathematical models along with measurements data from the Building Automation System, and can be installed in mechanical cooling systems pf large commercial and institutional buildings, instead of electromagnetic or ultrasonic water flow meters. The proposed virtual sensors would provide a low-cost, practical, […]

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