RESEARCH
1) Data-driven and Sensor-based Modeling to characterize the coupling dynamics of the complex processes via investigating the nonlinear and stochastic behaviors of the collected sensor data;
2) Medical Device Manufacturing and Bio-signal Processing for deploying customized signals and data by considering the wearable, non-invasive, and point-of-cared designs with the integration of nonlinear bio-signal processing techniques and machine learning algorithms;
3) Predictive Analytics to forecast event onsets, progression, and recovery by qualifying the transition of the system dynamics from normal to abnormal conditions via time series prediction models integrated with nonlinear dynamic system approaches.
DATA- DRIVEN AND SENSOR-BASED MODELING
BIOINSTRUMENT AND SIGNAL PROCESSING
PREDICTIVE ANALYTICS
Sensing and Predictive Analytics for Computational HEalthcare Systems (SPACHES) LaboratoryDepartment of Industrial and Management System EngineeringUniversity of South Florida4202 East Fowler AveTampa, FL 33620-0001 USAEmail: tqle@usf.eduWebsite: www.spaches.org