Supersonic fluidic oscillators are known to provide pressure pulsations which improve the metal superplastic blow forming manufacturing process. The symmetrical nature of a previously developed oscillator design, however, restricts their application to cases where two identical parts are formed simultaneously. Pressure fluctuation amplitudes are not sufficient when used for single part forming. This research aims […]

Le projet est l’utilisation de diverses méthodes pour déterminer la capacité thermique des matériaux. Les applications directes sont : ? La détermination de la capacité du sol à fournir une énergie thermique. L’information obtenue permettra un meilleur dimensionnement de forage géothermique et ainsi optimiser les coûts de projets en géothermie résidentiel. ? La détermination des […]

WizeWerks is developing a cutting-edge AI-powered platform to help businesses streamline financial document processing. Designed for SMBs and enterprises in transportation, logistics, and finance, the platform automates the extraction and organization of key financial data from unstructured documents like invoices and rate confirmations. Using a state-of-the-art Large Language Model (LLM)-agent, it enables users to interact […]

Ce projet de recherche vise à mieux comprendre pourquoi les enrobés bitumineux (asphalte) contenant des granulats bitumineux récupérés (GBR) ne se comportent pas toujours de la même façon lorsqu’ils sont fabriqués en laboratoire et en usine. Le but est d’identifier les différences entre ces deux méthodes de production et de proposer des solutions pour rendre […]

The design and quality of the indoor environment is understood to play an important role in the well-being and productivity of building occupants. While many building and design strategies have been employed to enhance the indoor environmental quality of workplace environments there is a surprising a lack of empirical evidence drawn from buildings in-use that […]

Cancer treatment requires a precise understanding of how drugs work at different doses and schedules. This research project aims to develop an advanced method for designing clinical trials for early-stage cancer beyond traditional approaches. The project will create a sophisticated statistical framework that simultaneously evaluates drug toxicity and effectiveness across multiple complexity levels while incorporating […]

The purpose of this project is to work with the Haida to implement a community-based tourism program to support the development and revitalization of their language. Based on the findings of a doctoral thesis undertaken with the community, the program will support culturally appropriate uses of language within tourism settings. Foundational to the program is […]

Bryan & Company LLP is a mid-size full-service law firm in Edmonton, Alberta, with a long history of community engagement dating back to 1928. The firm’s vision for its next 100 years is supported by a strategic plan designed to guide its operations from 2023 to 2028. This strategic plan (the first strategic plan implemented […]

Integration of R&D efforts produced from the Dalhousie Computer Science team in 2024 on AI Comparison capabilities for the application CODiii Rogue. Successful individual will be compiling an integrated python backend to a newly design UI with the injection of results from previous AI findings. In addition to the work outlined above, this project will […]

The proposed research project to be undertaken by the intern aims to find cost-saving trends of market-based instruments and other mechanisms for small municipalities. By collecting data indicating the performance of different types of market-based instruments and other mechanisms the intern will be able to distinguish which ones have seen the most positive results in […]

Sport Product Testing offers a comprehensive of testing and validation services for companies health and wellness industry. The internship project is aimed at improving the visibility and reach of Sport Product Testing to small and medium enterprises. To address this, SPT is looking to bring on a master’s in biomedical technology student to help enhance […]

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as […]