
01 / Human–AI Interaction
Trust in Complex Domains
Explainable AI and large language model evaluation for high-stakes decision-making — healthcare, public safety, and defence.

We study intelligent systems where they actually matter — around real people, real tasks, and real consequences. Agents in hospitals and emergency response. Immersive systems for training, therapy, and play. Machines that observe, predict, score, and decide.
The question for us is fairly simple: how do we know any of this is actually working?
Not just whether the algorithm performs well, but whether the whole system works once people, environments, behaviour, trust, and uncertainty enter the picture.
So we build, test, break, and measure these systems. We run the studies, develop the instruments when the right ones don't exist, and publish what we find.
Because technology that cannot be properly measured, is very difficult to trust.
Capacity
Over $8M in research funding.
Sustained support from federal, provincial, and institutional partners.

01 / Human–AI Interaction
Explainable AI and large language model evaluation for high-stakes decision-making — healthcare, public safety, and defence.

02 / XR & Training
Building and validating XR/AR training systems and capturing behavioural and physiological signals during immersive use.

03 / Games & Player Experience
Validated instruments and predictive analytics for player experience, engagement, and behaviour in commercial and serious games.
“I study how technologies reshape human experience and decision-making at scale — what they amplify, what they distort, and what they quietly make harder.”
— Dr. Umair Rehman, Director
Open Positions
We welcome students and visiting researchers curious about how people and intelligent systems actually get along.