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Research


“Woman with Autumn Leaves” by Andrew Stevovich (1994). Courtesy of Wikimedia Commons

We bring together systems physiology, computational modeling, and imaging together to advance sleep health, diagnostics and therapeutics. Our efforts span several traditional disciplines (e.g. Engineering, Medicine, Surgery) which allows us to investigate the many complex questions in normal and abnormal sleep. Current projects range from the development of smart low-cost and non-intrusive methods for early detection of sleep disorders, to new forms of patient-specific therapy.

Research Portfolio

Members of SleepHuB focus on addressing the critical issues in sleep health by incorporating technological and methodological contributions from bioengineering, artificial intelligence and data science. While past work emphasized the combination of systems physiology, computational modeling and imaging, ongoing efforts focus on expanding the scope of interest to combine new smart and non- intrusive technologies with biobehavioral expertise to address the complex problems related to sleep health in diverse populations.