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Research projects

Advancing self-powered sensing technology for aircraft components for Shimco North America Inc.

This project focused on refining a prototype circuit board designed to capture and store sensor data during aircraft operation.

Building a data platform to support consumer packaged goods launches for goCPG

This project addressed a common challenge for consumer-packaged goods brands: turning scattered public data and informal launch notes into clear, repeatable business decisions.

Developing an AI chatbot to support customer inquiries and quotations for Belco Doors

This project focused on developing a prototype AI chatbot for Belco Doors’ redesigned website. The goal was to help customers quickly access information about Belco’s elevator door products and streamline the quotation process, which previously required extensive back-and-forth with company staff due to the detailed specifications involved.

Enhancing energy system control and interoperability for Vortex’s iBMS

Conestoga’s SMART Centre partnered with Vortex to upgrade its intelligent battery management system with new automation features and improved compatibility for real-world deployment.

Advancing greywater reuse for sustainable water management in Ontario

This project explores how greywater recycling systems can be adapted for use in commercial, institutional, and industrial buildings across Ontario.

Building an AI-powered matchmaking platform for enhanced business partner matches

This project focused on developing a prototype web application to help companies connect with one another during international trade events and missions. The goal was to create a tool that uses AI to recommend connections between companies with shared interests, helping them stay engaged beyond the event itself.

Charting a path to net zero homes through optimized retrofits

Single-detached homes account for more than half of Canada’s residential buildings and consume more than twice the energy per capita compared to apartments. To help meet Canada’s 2030 and 2050 emissions reduction targets, this research focused on identifying the most effective retrofit strategies to reduce energy use in these homes, using a case study modelled on a house in Cambridge, Ontario. 

Turning raw data into real-time insights for advanced manufacturing for Karmax

Conestoga researchers collaborated with Karmax to develop a machine learning and artificial intelligence prototype that integrates directly into the company’s existing digital twin software.

Pedestrian data collection at Conestoga's Waterloo campus

This research project leveraged innovative data collection methods to map pedestrian movement at the Waterloo campus

Analysis and predictions of land use/land coverage changes with the CA-Markov model

This study examined historical land use and land cover changes in Guelph from 2001 to 2022 and forecasted future trends up to 2037 using the Cellular Automata-Markov model.
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