The proposed research project, undertaken by interns at Robosafety, an emerging startup, aims to enhance safety engineering in autonomous systems such as self-driving cars and AI-driven robots. By simplifying and improving the safety assurance process, this initiative seeks to significantly reduce the time and effort required for validating safety compliance. The end goal is to […]

This project is about creating dynamic maps of cattle movement over pasture foraging patches that will be characterized by forage plant composition, cover, and nutrition and takes place at the Thunder Bay Community Pasture (TBCP). The project is intended to test how the costs of implementing rotational grazing on the TBCP can be minimized by […]

The primary goals of our project are to fill critical knowledge gaps directly identified in the Federal Recovery Strategy for the Eastern Whip-poor-will regarding habitat use, prey availability, migratory paths and strategies, and overwintering sites in Southern Ontario, and to inform landowners about the presence of Eastern Whip-poor-will on their properties to support on-the-ground stewardship […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

The intern will lead the development of three research briefs based on findings from the 2023 Kindergarten Parent Survey, a unique research instrument designed by a collaborative of Halton researchers. The survey provides a snapshot of the wellbeing of Halton kindergarten preschool children and their families on multiple domains, including healthy development, physical activity, nutrition, […]

This project will draw on academic research, community engaged research and precedent studies to formulate community and public-facing research outputs that envision models and frameworks for the evolution of community land trusts (CLT) in Ottawa. The project will output maps, visualizations, and stories that synthesise Ottawa’s housing needs and the potentials of CLTs. It will […]

This project aims to simplify the creation of avatars for use in research, with a focus on self, identity, and facial recognition. Avatars, or digital selves, can be challenging to make and limited by software, and this is made worse when participants’ avatars look different from themselves in real life. The goal of this research […]

Most computers and materials work on scales such that quantum effects can be comfortably ignored. But as we aim to make computers ever smaller, quantum effects will cause difficulties; however, they also provide opportunities. Spin-crossover (SCO) materials are molecules that can “Flip” between two states: either high or low spin binary states, making them essentially […]

This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that […]

The proposed project will look at participant’s brain activity while completing a stone-stepping task. Brain activity will be measured through EEG while the stone-stepping task will be projected through the Motek C-Mill treadmill. The research goal is to synchronize the data from a motor event occurring on the treadmill to cortical brain activity. The participants […]

The clinical translation of innovative oncology treatments can be boosted by the establishment of alternative in vivo models based on the chick chorioallantoic membrane. In this project, a biomodel based on commercial cancer cell lines, such as hepatocellular carcinoma, will be established and characterized by standard biological assays. The biomodels will be employed for the […]

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100–150 words) The proposed research is focused on developing machine learning and deep learning-based approaches to improve the operation of 5G networks […]