PhD in administration - Information Technology

Students wanted

You may propose your own research projects. However, this specialization is actively seeking students interested in the research topics listed on this page.

Improving UX measures and methods

Description

The swift advancement of technology has posed significant challenges for both the industrial sector and the academic world, especially in assessing the user experience related to technology. Building on world-class research environment provided by Tech3Lab, our research team is at the forefront of pioneering innovative UX assessment methods, harnessing tools and techniques from neuroscience to gain real-time insights into individual experiences. In collaboration with our industrial partners (Deloitte, Desjardins, D-Box, ServiceNow, Sobeys, Blue Yonder, Alloprof, Vidéotron), our overarching aim is to empower UX researchers to accurately gauge user emotions and reactions in genuine usage scenarios, promoting the broader acceptance of these groundbreaking techniques in industry. To do this, research is needed to improve the non-intrusiveness, insightfulness, and speed of iUX where speed refers to reducing the time to collect, process, and analyze iUX data and draw inferences about the user experience.

Research environment

Tech3Lab

Researchers

Write to the supervising professor

 

Improving Human Machine Interface Learnability: Cognitive Readiness and IT Learning Experience

Description

This research project aims to help organizations develop technological interfaces (e.g., software, websites, mobile applications) that are easy to learn for their users and, moreover, to ensure that users are ready to use these interfaces. To do this, the research team and partner organizations (National Bank of Canada, Canadian National Railway, Language Research Development Group and Société Radio-Canada) will conduct a series of studies with various types of users (i.e., citizens, employees, consumers) using various technological interfaces in different contexts of use. These studies will identify, using neurophysiological and machine learning methods, whether users are cognitively ready to optimally use a technological interface and when users are actually learning. The results of this research project will enable Canadian organizations to put in place practices for the development of technological interfaces that optimize their learnability. Given the strategic importance of information technologies and digital transformation in the Canadian economy, several stakeholders (e.g., employees, suppliers, customers, citizens) will benefit from the results of this research project, which will therefore have both an economic and social impact for Canada.

Research environment

Tech3Lab

Supervising professors

Write to the supervising professor

 

Cybersecurity research on insider threat detection and mitigation

Description

Conduct research in cybersecurity with a focus on insider threat, one of the most important challenges in this field.

You will have an opportunity to join a leading research group in cybersecurity that is studying the insider threat and how to mitigate this cyberrisk from a multidisciplinary perspective. As a PhD student on this project, you will have the opportunity to examine the motives, patterns, and impacts of the human behaviour (employees, contractors, vendors, and other authorized business partners with access to an organization’s data). Additionally, you will be able to collaborate with industry partners and government agencies to help develop effective strategies and policies regarding the detection and the mitigation of the insider threat. You will have access to rich qualitative and quantitative data sources and advanced analytical tools, such as machine learning, artificial intelligence, and data visualization. To be eligible for this opportunity, you should have a background in related disciplines such as management information systems, computer science, criminology, management, applied psychology. Knowledge of French is an asset.

Related areas

  • Management Information Systems
  • Computer Science
  • Criminology
  • Management
  • Applied Psychology
Research environment

Multidisciplinary Institute for Cybersecurity and Cyber Resilience (IMC2)

Supervising professors

Alina Dulipovici

Ryad Titah

 

Information technology in the healthcare context

Description

Develop new knowledge in the area of health IT to enable clinicians, policy makers and governments to use our finite resources more effectively and efficiently, with a view to providing better, safer and more consistent healthcare services.

Related areas

  • Electronic medical records
  • Personal health records
  • Telemedicine
  • Consumer wearables and mobile apps
  • Decision support systems
Research environment

Research Chair in Digital Health

Supervising professor

Guy Paré

Write to the supervising professor

 

Open data use within cities

Description

Explore how cities and urban centres can use open data to improve performance and public services.

Supervising professor

Ryad Titah

Write to the supervising professor

 

Responsible adoption and diffusion of information technologies

Description

Explore the factors influencing the social acceptability of contentious information technology such as highly automated decision-making systems.

Research environment
  • Research professorship in responsible adoption and diffusion of information technologies
Supervising professor

Camille Grange

Write to the supervising professor

 

Virtual and Augmented Reality (VR/AR)

Description

Research in the field of User Experience (UX) with a focus on Virtual and Augmented Reality (VR/AR). By joining our team, you will be working in a highly collaborative and stimulating environment, strengthened by team-driven activities, where knowledge-sharing and joint problem solving are the norm. Our state-of-the-art #UserExperience (#UX) lab will provide you with the opportunity to engage in rigorous studies exploring innovative ideas. We are looking for students with a master’s degree in related disciplines as human computer interaction, management information systems, data science, computer science, psychology, neuroscience, brain-computer interaction, physiological computing, artificial intelligence, industrial design or a related field.

Related areas

  • Computer Science
  • Human Computer Interaction
  • Management Information Systems
  • Data Science
  • Virtual Reality or Augmented Reality
  • Neuroscience
Research environment

Tech3Lab

Supervising professor

Constantinos K. Coursaris

Write to the supervising professor

 
Program details
Type
PhD
Level
Graduate  
Credits  
90 Credits
Schedule
  • Full time
Time
  • Day
Instruction mode
  • On-site
Location
  • Côte-des-Neiges

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Programs > PhD in Administration > PhD in Administration — Information Technology > Students wanted