Risk assessment of OT and IT infrastructure components

Over 18,000 systems, including those of numerous government agencies and corporations, as well as 15 critical infrastructure companies in gas, oil, electricity, and manufacturing, were affected by the SolarWinds supply chain attack, resulting in an estimated recovery cost of over 100 billion1. This attack highlights the increased interconnectivity between IT networks and OT systems due […]

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Examining the Effects of Cannabis-based Edibles on Cognitive Health and Simulated Driving Performance in Young Drivers

There is increasing evidence showing an increase in motor vehicle crashes associated with young drivers who consume cannabis. While studies show that smoking or vaping cannabis is associated with impaired driving performance, there have been no studies examining the influence of edibles on driving performance. Additionally, prior studies have not defined the type of cannabis […]

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5G-LEAP – Flexible Open RAN Platform for 5G and beyond networks

5G and beyond mobile networks are expected to support a variety of emerging use-cases, such as holographic telepresence, immersive extended-reality, cloud gaming, and autonomous driving. Such a diverse set of services imposes strict requirements on the mobile network along several dimensions, such as throughput, latency, and reliability. Network slicing has been envisaged as a key […]

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Mechanistic characterization of mixture toxicity of different cannabinoids

This project will investigate how mixtures of select cannabinoids affect different types of human and animal cell lines. As the use of cannabinoid-based products continues to rise in both Canada and Germany, there is a growing need to understand potential health impacts, especially when multiple cannabinoids are present together. By studying mixture toxicity rather than […]

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An ensemble machine learning framework for streamflow data reconstruction

This project will develop a new framework to reconstruct missing streamflow data using advanced machine learning techniques. Reliable streamflow records are essential for flood forecasting, drought monitoring, and water resource planning, but many stations have missing or incomplete data. The proposed approach will combine traditional statistical methods with modern single-learner and ensemble machine learning models […]

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Phylogenetic homogenization or differentiation in global urban non-native floras: decoupling environmental, spatial, and connectivity drivers

This project will investigate whether urban plant communities composed of non-native species around the world are becoming more similar to each other or remaining distinct due to environmental, spatial, and connectivity constraints. Using the Global Urban Biological Invasions Compendium (GUBIC), the study will compare plant assemblages across cities to understand how climate, urban characteristics, and […]

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L2M – Construction Equipment Tracking Market Research

TAUlab is building a fleet and equipment-tracking platform for small and mid-sized construction contractors. These companies often struggle with lost equipment, incomplete job-site reporting, and administrative overload. Although many large enterprise tools exist, they are bloated with features and rarely match how smaller subcontractors actually work day-to-day. Most companies in this segment still rely on […]

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L2M – Expert Validation of IPPM Now and Assembly of a Smart Trap Prototype

This project will help Insect Track Solutions improve and validate IPPM Now, a digital tool designed to make insect monitoring easier and more accurate for farmers, agronomists, and researchers. Today, insect data is collected in many different ways, making it hard to compare results or make fast decisions. The project will work with expert users […]

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Enhancing Sawmill Residue Utilization Through Mobile Biochar Production

This project will demonstrate on-site biochar production from sawmill residues at Patterson Sawmill (Hay River, NWT) using Saskatchewan Polytechnic’s mobile kiln. The mobile system avoids high transport and capital costs associated with stationary facilities and can process diverse residue types directly on-site, offering a practical solution for sustainable management of waste biomass at northern sawmills. […]

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L2M – Commercialization of Cold Plasma Technology for Sustainable Disinfection in Agri-Food Applications

Disinfection is essential across households, industries, agriculture, and healthcare. But, choosing the right chemical disinfectant raises concerns, as residues, volatile compounds, and microbial resistance often force us to switch chemicals or increase dosages. What if we could disinfect without adding chemicals? Our project explores this possibility by altering the chemistry of air and water using […]

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L2M – CO2 Loading Automated Tester

This project will explore the market needs for a new automated CO2 loading tester, a device designed to make carbon capture systems easier, safer, and more cost-effective to operate. The intern will interview potential users (e.g., engineering firms, research labs, and early adopters) to understand the challenges they face and the features they need most. […]

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L2M-An AI-powered interactive educational robot that engages learners at the young age through natural conversation, personalized instruction, and hands-on activities, adapting its teaching style to each child’s needs.

This project focuses on developing an innovative, smart, interactive toy robot for children aged 3 to 8. The robot combines emotional intelligence, educational content, and safety monitoring to provide a healthier alternative to mobile device usage. It serves as a companion that can recognize a child’s mood, offer adaptive learning activities, and detect environmental hazards […]

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