FluidPlanet.org builds and deploys digital twins for use in education, enterprise and entertainment. This project will result in a plugin for game engines (i.e. Unreal Engine) to coordinate different cloud services that bring a digital twin to life based on their geolocation, such as time, weather and other environmental variables.

Innoptech is building VegForecast™, a digital twin platform for vegetable fields that combines rapid drone flyovers with computer vision and 3D reconstruction to deliver field-level insights as maps and KPIs that support scouting, intervention planning, and in-season decision making. This internship aims to deliver a complete AI module for weeds by training a detection and […]

Current methods for tracking construction progress rely on manual inspections, which are slow, inconsistent, and often dangerous. This research project aims to automate this process using an agile quadruped robot (a “robot dog”) developed by Noûs Technologies. The interns will create a smart navigation system that uses the building’s digital blueprints to guide the robot, […]

(1) Overview of the Research Problem Despite rapid advances in Large Language Models (LLMs), their deployment in professional knowledge-intensive sectors remains constrained by hallucinations and data gravity. LLMs frequently generate plausible but unsupported outputs when applied to specialized corpora, while organizations hold vast quantities of “dark data” embedded in unstructured PDF archives. In archaeology and […]

Current artificial intelligence (AI) agents deployed in enterprise settings make static, one-shot decisions and cannot adapt as context changes or learn from the outcomes of past actions. This research addresses two limitations of enterprise AI agents: (i) the inability to dynamically adjust reasoning effort based on the uncertainty and stakes, and (ii) the inability to […]

This project focuses on the development and validation of asset-level climate risk modeling frameworks for infrastructure and institutional portfolios. As climate-related hazards intensify, asset owners and financial institutions require forward-looking, decision-grade analytics that quantify physical risk under multiple climate scenarios. The project applies a structured hazard – exposure – vulnerability – loss framework, integrating geospatial […]

As a medical device manufacturer, Circle Cardiovascular Imaging Inc. (Circle) operates within a regulated industry and must maintain a robust Quality Management System (QMS) to support global market access and lifecycle compliance. As the organization expands and maintains its regulatory footprint across multiple jurisdictions, the volume and complexity of jurisdiction-specific regulatory compliance requires in-depth intelligence, […]

This project at the Centre for Addiction and Mental Health addresses a defined evidence gap in women’s brain health: despite women comprising roughly two-thirds of Alzheimer’s disease cases, there is limited scalable, person-centred data on how specific menopause symptom patterns and menopausal hormone therapy (MHT) exposures relate to cognitive outcomes. In partnership with two major […]

The RBC Patient and Family Learning Space (PFLS) at CAMH provides free mental health, substance use, and recovery information to patients, families, caregivers, and the public. PFLS offers workshops, webinars, easy-to-understand health information, and help with navigating the mental health system. It operates both as a physical space and an online learning hub, working with […]

This project will design and test scalable ecosystem adoption frameworks for a Canadian sports technology platform. Through structured market research and pilot experiments, it will develop repeatable go-to-market models that support multi-stakeholder growth across North America.

Simulation studies are widely used in pharmaceutical research to evaluate operating characteristics of statistical methods proposed for regulatory analyses. Central to such studies is the ability to compare against a known “truth” implied by assumed the data-generating mechanism. In practice, however, this advantage is often limited than assumed, as the target is not a simple […]

This project will validate and demonstrate BIM-RISE, an automated BIM-enabled workflow that supports more sustainable construction and demolition (C&D) waste management and environmental assessment. Using information already available in building models, BIM-RISE will produce early, decision-ready estimates of expected material quantities (e.g., concrete, metals, wood, gypsum) and organize them into practical end-of-life streams. It will […]