Adaptive and responsive indoor environments

Long-term in-situ studies of occupant behavior, cognition, and interactions in a large collaborative environment while monitoring the changes in environmental factors and energy consumption.

 

data-driven mixed reality

Automatically localize the user within a space, recognize surrounding objects, and provide real-time assistance to reduce users’ cognitive load while creating situational awareness about the surrounding environment.

 

Shared autonomy considerations in autonomous vehicles

Longitudinal naturalistic driving studies to identify correlations of certain behaviors as a result of changes in environmental conditions

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News

June 14, 2020 / Award

Dr. Heydarian was selected the winner of 2020 Graduate Engineering Student Council Faculty Advisor Award

April 2020 – Dr. Heydarian was selected the winner of 2020 Graduate Engineering Student Council Faculty Advisor Award – for service in...
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