This project develops a dynamic, self-learning wildfire evacuation routing system designed to improve public safety during fast-moving wildfire events. Traditional routing methods can identify effective paths but often fail to adapt quickly to rapidly changing fire behaviour and real-world driver responses. To address these limitations, the project introduces a Deep Reinforcement Learning (RL) framework in […]

Efficient and low-cost electrocatalysts are crucial for numerous industrial clean energy applications. However, the traditional catalyst discovery framework is constrained by the lengthy duration required for synthesizing and testing one single catalyst, as well as the human error introduced that compromises experimental repeatability. This project will redefine the catalyst development pattern by employing a streamlined, […]

The research project’s goal is to quantify the societal services that nature preserves provide relative to biological richness. In other terms, the value of a historically biodiverse green space in a city compared to a standard novel green space to people (Indigenous and non-Indigenous). The preserve in my study encompasses endangered grassland habitat (Garry Oak […]

This project focuses on understanding how concrete and similar building materials behave as they age, crack, and deteriorate. Material modeling is a way of using computer simulations to predict how a structure will react to forces such as weight, weather, and damage over time. By improving these simulations, engineers can better evaluate the safety of […]

This project aims to help hospitals reduce the spread of airborne infections—such as influenza, COVID-19, and other respiratory illnesses—by improving how a new disinfecting light technology called far-UVC is deployed. Far-UVC light can safely kill viruses and bacteria in the air while people are present in the room, but hospitals currently have no reliable way […]

This project will strengthen an AI question-answering system by improving how it finds and checks information. It focuses on building a retrieval pipeline that can search across multiple document collections and then filter the results to keep only the most relevant pieces. She will also design a “verification agent” that double-checks whether each answer is […]

The proposed project supports the exchange of a PhD student and a Master’s student between Concordia University (CU), Canada, and Santa Clara University (SCU), USA, to conduct supervised research under the EuReCa Global Center, a global initiative that focuses on use-inspired research toward equitable and user-centric energy markets for resilient grid-interactive communities. The project will […]

Zeuron is a startup developing GamBit, a brain-computer interface (BCI) that lets people control video games using their brain signals. This technology is especially designed for individuals with neuromotor conditions like paralysis or muscular dystrophy, who often face barriers to traditional forms of play and communication. The project will involve two interns—one in computer science […]

This project will help a mining company turn its scattered data—reports, manuals, work orders, and sensor readings—into a smart, searchable “knowledge library.” Using large language models (LLMs), such as GPT, the intern will design a simple map of key mining concepts (equipment, events, hazards, procedures), automatically pull important facts from documents and charts, and build […]

We wear footwear every day to complement diverse activities and lifestyles, from leisure walking to performance sprinting, and everything in between. Determining whether a certain type of footwear alters performance remains a key challenge with each innovation. While we know that sensory feedback from the foot influences our ‘feel’ for the ground, how these sensations […]

This project aims to improve how quantum light sources—specifically semiconductor quantum dots—are connected to optical fibers using a cutting-edge 3D printing technique called photonic wire bonding. Quantum dots can emit single photons on demand, which is essential for secure communication and future quantum computers, but getting those photons efficiently into standard optical fibers has been […]

This project aims to create a simple and reliable method to turn 3D scan data from modular construction factories into BIM models using unsupervised learning. By focusing on basic geometric patterns in point-cloud data, it reduces the need for manual labeling and helps build a semi-automated Scan-to-BIM workflow. The interns will develop a full pipeline […]