Projets novateurs réalisés

Advanced numerical modelling tools for entanglement harvesting with superconducting devices

The project “Advanced numerical modelling tools for entanglement harvesting with superconducting devices” is dedicated to developing tools for a foundational experimental test of quantum entanglement within the framework of quantum field theory. While this theory serves as a cornerstone of modern physics, significant questions regarding the description of quantum measurements and entanglement remain. This research focuses on “entanglement harvesting” — a proposed experiment where two quantum systems, also called detectors, interact with a quantum field to extract correlations, even when separated by large distances.
The practical implementation of this project involves using superconducting quantum devices coupled to electromagnetic fields. We aim to adapt numerical modelling techniques from condensed matter physics, specifically those used for strongly correlated one-dimensional systems, to create precise models for future experimental designs. The expected outcome is a comprehensive suite of tools essential for the design and interpretation of tests that can validate key concepts in quantum field theory. This work will provide a critical foundation for the development of future quantum technologies and a deeper understanding of the fundamental structure of the universe.

Development of a Store-and-Forward Navigation System with Semantic Void Detection for Autonomous Construction Monitoring

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, ensuring it inspects critical structures like walls and columns. To overcome the limited computer power available on small robots, the team is developing a unique “feedback loop”: the robot records data, a powerful central computer analyzes it to detect any missing spots, and then automatically updates the robot’s plan to capture those gaps the next day. This innovation enables Noûs Technologies to offer a highly accurate, autonomous 3D monitoring service that helps construction companies reduce costly errors and keep projects on schedule.

Countryside Dentures – Optimizing Digital Denture Workflows Using 3D Scanning and CAD Technology

This project focuses on advancing digital denture workflows at a modern denture clinic, with the goal of delivering faster, better-fitting dentures while reducing post-insertion adjustments and patient appointments. The clinic currently uses 3D scanning, CAD software, and digital fabrication to create complete, partial, and implant-supported dentures. The challenge is optimizing these processes to improve efficiency and accuracy without changing the existing scanning equipment.

The objectives are fourfold: first, to improve 3D scanning accuracy by refining patient scanning protocols and scanner settings; second, to increase CAD design efficiency through workflow optimization and template improvements; third, to enhance fabrication processes by ensuring scanned data translates accurately into physical dentures; and fourth, to improve overall patient outcomes and clinic efficiency by reducing adjustments and streamlining post-insertion follow-ups. The intern will achieve these goals through workflow evaluation, hands-on testing of scanning and design methods, trial denture fabrication, and detailed analysis of fit and efficiency outcomes.

Supervision will occur in person every Monday and Wednesday, with guidance on project tasks, progress reviews, and problem-solving. On Tuesdays, Thursdays, and Fridays, the intern will work independently, applying learned skills and managing workflow autonomously. Working onsite allows the intern to collaborate directly with clinicians and dental technicians, access 3D scanners, CAD software, and fabrication equipment, and gain immersive experience in a patient-focused, collaborative clinical environment.

Deliverables include optimized digital denture workflows, prototype dentures, a detailed project report, and a presentation with recommendations for implementation. The project benefits Canada by improving accessibility to high-quality dental prosthetics, reducing clinical inefficiencies, and supporting industry growth in digital dentistry. For the intern, it provides practical experience in digital dentistry, problem-solving, project management, and collaboration, preparing them for future careers in dental technology, clinical research, or biomedical innovation.

Transformer une problématique écologique en ressource énergétique : la biométhanisation de plantes envahissantes, une approche durable pour le lac Osisko

La réhabilitation des systèmes lacustres urbains contaminés en climat froid se heurte à différentes contraintes, tant urbaines que climatiques. Le Lac Osisko est l’un d’eux : soumis à diverses pressions anthropiques, il présente des problèmes importants tels que l’eutrophisation, la contamination des eaux et des sédiments, ainsi que la prolifération d’espèces végétales envahissantes. Les stratégies de remédiation peuvent se concentrer sur trois supports principaux : les sédiments, la colonne d’eau et la flore aquatique. Plus particulièrement, ce projet s’inscrit dans une stratégie de phytomanagement, c’est-à-dire l’utilisation de plantes aquatiques en vue de dépolluer les sédiments ainsi que la colonne d’eau du lac Osisko. Cependant, l’utilisation de plantes aquatiques envahissantes dans une stratégie de remédiation se doit d’inclure une dimension de revalorisation. Tel est ici l’enjeu du présent projet qui se propose d’évaluer le potentiel de la biométhanisation comme méthode de revalorisation énergétique de la biomasse issue de plantes envahissantes contaminées. Ce projet s’inscrit alors dans une approche aux dimensions tant scientifiques, sociétales et économiques en proposant une solution permettant à la fois de gérer les plantes envahissantes et de produire une énergie renouvelable.

3D Detection and Quantification of Weeds in Vegetable Crops Using Drone Imaging and a Digital Twin

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 segmentation model on a proprietary dataset, then defining a reliable methodology to translate 2D predictions into field-level quantification integrated with the existing VegForecast™ 3D digital twin. The ultimate objective is to produce operationally useful indicators, such as weed pressure and its evolution over time, delivered as maps and KPIs by plot or zone.
This internship is designed to transform a detection capability into a directly marketable VegForecast™ feature by providing actionable, map-based quantification to prioritize interventions and measure their effectiveness. It will strengthen the value of the VegForecast™ digital twin by demonstrating vision plus 3D fusion, while standardizing a reusable pipeline that can be applied across fields and seasons. The results will enhance the value proposition for growers and support in-season commercialization.

3D-Printed Biomimetic Sensors: Integration of Hydrogel Networks into Biobased Soft Robotics

This project titled “3D-Printed Biomimetic Sensors: Integration of Hydrogel Networks into Biobased Soft Robotics” addresses a key challenge in the field of soft robotics: the development of sustainable, flexible pressure sensors that mimic the tactile feedback of the human nervous system. As robotic systems increasingly operate in unstructured environments and interact with biological tissue, there is a growing demand for soft, high-resolution sensing platforms that are both mechanically compliant and environmentally conscious. This collaboration builds on the prior research of Prof. Dr. Orlando Rojas and Prof. Dr. André R. Studart. For the Rojas group, it expands the application scope of liquid-in-liquid printing toward functional bioelectronic materials; for the Studart group, it enhances the performance and sensing capabilities of mycelium-derived soft robots. This furthers shared vision of both groups in developing sustainable, adaptive, and multifunctional bio-fabrication systems.

Holland Marsh Zoning Harmonization Project for King Township and Bradford West Gwillimbury

The zoning harmonization project for King Township and Town of Bradford West Gwillimbury (BWG) aims to advance regulatory clarity and long-term agricultural viability within the Holland Marsh, one of Ontario’s most significant specialty crop areas. Although the Marsh operates as a single, integrated agricultural system, it is divided between two municipalities with distinct zoning by laws. These inconsistencies have created challenges for farmers working across municipal boundaries, particularly related to land use permissions, greenhouses, temporary farm worker housing, and performance standards essential to modern agricultural operations.
To address these issues, an ad hoc committee—comprising municipal representatives, the Holland Marsh Growers Association, local farmers, the Drainage Superintendent, and planning staff—has identified zoning by law harmonization as a priority initiative for 2026. A student planner will support this work by conducting a comprehensive comparison of the two zoning by laws (land use permissions, general provisions and performance standards), identifying conflicts, gaps, and opportunities for alignment specific to the Holland Marsh context.
The primary goal of this research project is to develop a clear, evidence-based foundation for a harmonized draft zoning by law that aligns land use permissions and performance standards while reflecting the Marsh’s unique agricultural, economic, and environmental role. Key deliverables include a detailed regulatory analysis, a policy brief, a jurisdictional scan, and recommendations for harmonized standards that promote consistent, predictable, and practical implementation for both farmers and municipalities. The student will also present findings to the ad hoc committee and develop a community engagement framework to gather future input from local farmers on the draft zoning by law. Findings will provide a transferable model adaptable for other municipalities.
Funding a student planner for four months will generate specialized knowledge that directly supports municipal decision making, strengthens long-term agricultural sustainability, and enhances the operational efficiency of one of Ontario’s most productive farming regions.

Internship position in seed development and temperature plasticity

Physical Processing and chemical Recovery of PCB Production Waste for Metal Enrichment

Hydrodynamic perception in pinnipeds

Advancing Radioisotope Thermoelectric Generators (RTGs) for Lunar exploration

Development of transfer functions to study mass transfer in porous solids by frequency response