This research seeks to use neuroimaging techniques to determine the cognitive state of an individual and then augment human-system interaction to meet or exceed performance requirements.
This research seeks to develop information representations that map directly onto human intuitive processes by integrating and optimally presenting information based on human cognitive abilities and limitations.
This research investigates insensitivities and dissociations between physiological measures of cognitive workload.
This research seeks to use noninvasive wearable sensors, including temperature, accelerometer, electrodermal activity, and photo plethysmography sensors, to continuously monitor physiologic changes associated with opioid withdrawal.
This research seeks to develop decision support systems that employ machine learning models to capture expert knowledge or agreed standards (e.g. such as protocols or guidelines) and provide specific guidance and insights to decision makers in real-time.
This research seeks to provide new insights into the neural mechanisms underlying (1) training using virtual reality, and (2) therapeutic applications using virtual reality.