Cornell University
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Saeed Abdullah

PhD Candidate
Saeed Abdullah

Areas of Interest

Mobile computing, novel ways of inferring internal body clock and supporting rhythmicity; mental health


My work, on a broad scale, focuses on providing technology-mediated care in the context of mental health. In this new model of care, the goal is to detect early warning signs and provide intervention even before relapse happens — moving from reactive to preemptive care. Towards that, I focus on circadian and behavioral trends — identifying anomalies in key daily behavior that might be indicative of relapse, for example.

I design, develop and deploy smartphone based sensing systems for automated detection and intervention. Our systems are currently being used in the context of Serious Mental Illness (SMI) including Bipolar Disorder and Schizophrenia. Beyond SMI, I am also interested in understanding the effect of disruptions on the human body clock and supporting circadian stability in the general population.