The distribution of IT products in Canada is complex and constantly changing, with dramatic transformation coming from new digital technologies, changing customer expectations and the constant presence of global competitors. This research will assess the IT Distribution Channels in Canada to understand the changes, and to identify the key attributes for survival and prosperity going […]

Collective memory helps societies access and learn from the knowledge that they have gained through experience in the past, and make better informed decisions at present. When collective memory is explicit and accessible, it facilitates knowledge transfer within the society, helps reach decisions faster, and contributes to preparation for risks. However, access to collective memory […]

Parenting is challenged by the pace of change in information technology, impacting child development and parent-child relationships. Children learn and grow in online environments and their development, perspectives and understanding of the world are impacted by multiple communities, which creates risks to safety, relationships and experiences. Supporting technologies will help bridge this gap, intervening with […]

Cyber attackers can sometimes compromise endpoint machines. They may perform malicious actions that will damage the company. As a result, it is necessary to collect forensics artifacts (Information from the endpoint machine that can be used to trace the attackers’ behaviors) from the compromised machine for investigation. With the information we have, we may reconstruct […]

The overall purpose of this research is to explore the ways diagnostic assessments enable or disable growth in mathematics understanding for children most impacted by colonialism, in particular the Historical Black community in Nova Scotia. This research stems from ongoing collaborative relationships with the Delmore Buddy Daye Learning Institute (DBDLI) that has focused on strategies […]

This research addresses the ethical issues that abound in professional design practice. If these issues are identified, they are seldom discussed and mitigated. As such, this research aims to 1) observe human-centered design in action, 2) develop a series of tools, artifacts, and methods—what I refer to as ethical design things—to foreground matters of ethics […]

Bovine production uses a combination of Assisted Reproductive Techniques (ARTs) to improve yield and reduce generation time. In bovine production and in clinical settings, ARTs are associated with elevated rates of developmental disorders in offspring, leading to animal distress, high costs and delayed results. These include Large Offspring Syndrome (LOS) and musculoskeletal anomalies, reported to […]

Estuaries are crucial stopover areas for juvenile salmon during outmigration and especially for Chinook salmon who can reside in this habitat for over a month. Many populations of Chinook salmon from the Pacific Northwest are threatened and endangered making conservation important for this species. Currently, managers are investing significant public funds in estuary restoration and […]

The proposed research aims to develop machine vision-based decision support system for variable crop management. This research will deploy the deep learning models for plant/weed detection, plant growth indicators and soil organic matter assessment. The information retrieved from these models will be used to devise variable rate management map to optimize the consumption of agrochemical […]

Peatlands are freshwater wetlands which, in their natural (pristine) state, provide a specific habitat for many species of flora and fauna and several ecosystem services useful to human populations, such as the sequestration of carbon in accumulated peat (peatlands are a major global carbon sink). However, like many other wetlands, they are often disturbed and […]

We are at the era of precision medicine and dentistry; however, currently the leading-edge technologies used for adaptive milling control and modeling of CNC milling have not entered the micro-scale milling applications in the dental industry. The overall objective of this MITACS project is to utilize an Industry 4.0 based approach to explore characterization parameters […]

Seneca and Trinetra are collaborating to develop a Human Resources (HR) Expert System—a self-service, Artificial Intelligence (AI)–powered application capable of responding to queries or questions from hospital staff by extracting the right answer from relevant sources: collective bargaining agreement, policies, etc., which will be piloted at Markham Stouffville Hospital (MSH). This System will provide an […]