The project is to develop a course on analog integrated circuit design targeted on undergraduate student education and training.

In recent years, the advancement of Artificial Intelligence has revolutionized technology and the way we use and interact with things online. The technology promises to transform how we interact with services, communicate with people, and find data most useful to us. The project focuses on software development to further develop an existing software involved in […]

This project investigates whether biocontrol microorganisms from Saskatchewan rhizosphere soils can effectively suppress Fusarium Head Blight (FHB) in wheat under field conditions, supporting their commercialization as sustainable biopesticides. FHB, caused mainly by Fusarium graminearum and F. culmorum, severely reduces wheat yields and contaminates grain with the mycotoxin DON. Current control measures face limitations due to […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

SaskAgMatters (SAM) Mental Health Network Inc. is a support network created to offer a farm-culture friendly mental health support system for Saskatchewan (SK) Agricultural Producers (hereafter collectively called ‘farmers’). SAM offers six free counselling sessions with registered mental health professionals who have backgrounds in agriculture. SAM’s counsellors will be invited to semi-structured interviews focusing on […]

This innovation project focuses on developing an advanced generative AI-powered platform designed to visualize consumer preference data for interior design products through intuitive, dynamic preference maps and visualization tools. The aim is to simplify and enhance the process of product selection for both consumers and interior design professionals, significantly streamlining decision-making and procurement processes. The […]