Sensing and Predictive Analytics for Computational HEalthcare Systems (SPACHeS) Laboratory

SPACHeS Lab' research interests encompass health informatics with the focus on connected healthcare systems and prognostic analytics to address the current challenges of the P5 paradigm. Interdisciplinary research directions include: 

1) Data-driven and Sensor-based Modeling to characterize the coupling dynamics of the pathological processes via investigating the nonlinear lump parameter model of the biological processes driven by the collected sensor data;

 2) Medical Device Manufacturing and Bio-signal Processing for deploying customized signals and data by considering the wearable, non-invasive, IoT, and point-of-cared designs with the integration of nonlinear bio-signal processing techniques and machine learning algorithms 

 3) Predictive Analytics for Personalized Healthcare to forecast acute event onsets by qualifying the transition of the system dynamics from the normal to abnormal conditions via time series prediction models integrated with nonlinear dynamic system approaches. 


Research projects 

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Sensing and Predictive Analytics for Computational HEalthcare Systems (SPACHES) Laboratory 

Departement of Industrial and Management Systems Engineering

University of South Florida

4202 East Fowler Ave

Tampa, FL 33620-0001 USA