Post Doctoral Researcher Opening!!
OverviewWarfighters face an increased exposure to various ailments such as Traumatic Brain Injury (TBI) and infectious diseases. Digital biomarkers are smartphone-sensable user behaviors that can reliably indicate the health status, ailment symptoms and condition of the smartphone user. For example, an ailing smartphone user may exhibit reduced daily step counts or stay longer in sedentary activity states during their day.
Funded by the DARPA Warfighter Analytics using Smartphones for Health (WASH) project, our team is researching and developing machine/deep learning algorithms that synthesize reliable smartphone biomarkers that enable continuous, real-time assessment of TBI and infectious diseases afflicting warfighters by leveraging data unobtrusively captured from smartphone sensors.
Our approach includes:
- Feature engineering of smartphone sensor data
- Statistical modeling of personalized behavior typical of a smartphone user
- Detection of higher-order activity states from low-level signals
- Machine/Deep learning of robust outliers or deviations from normal, healthy behavior
- Inference of classes of diseases affecting a smartphone user
- Empirical study and evaluation of robustness of biomarker detectors
- Prof Emmanuel Agu (PI)
- Prof Elke Rundensteiner
- Abdulaziz Alajaji, PhD, Data Science
- Walter Gerych, PhD, Data Science
- Hamid Mansoor, PhD, Computer Science
- Krushika Tapedia, MS, Data Science
- Pitchaya Wiratchotisatian, PhD, Data Science
- Kavan Chandrasekaran, PhD, Data Science
- Dr Richard Ellison, Infectious Diseases, University of Massachusetts Medical School
- Dr Mark Johnson, Head of Neurology Dept, University of Massachusetts Medical School
- Dr Suzanne Muehlschegel, Dept of Neurology, University of Massachusetts Medical School
FundingThis project is funded by the Defense Advanced Research Projects Agency (DARPA).