PRECISE Seminar: Physiological Health Monitoring, Decision Support and Control
Jin-Oh Hahn, Ph.D., Department of Mechanical Engineering, University of Maryland College Park
Abstract: Despite its success to date, dynamical systems and control theory has yet to make significant contributions in health monitoring, diagnostics, decision support and control of physiological systems. Especially, model-based system identification via multi-sensor fusion can offer unique opportunities to address many outstanding challenges in a wide range of problems in personalized healthcare. This presentation demonstrates how system dynamics and control engineering can resolve some of these challenges in personalized physiological health monitoring, disease prediction/diagnostics, and treatment in the context of pharmacological medication therapy and cardiovascular health assessment. Significance and state-of-the-art, ongoing activity and future prospects will be discussed for each of the problems
Biography: Dr. Jin-Oh Hahn is an Assistant Professor of Mechanical Engineering at the University of Maryland’s Department of Mechanical Engineering. Hahn received his B.S. and M.S. degrees from Seoul National University, and his Ph.D. from Massachusetts Institute of Technology.
Hahn’s research focuses on condition monitoring of dynamic systems based on control system approaches. Some examples of his work include health monitoring and disease diagnosis in cardiovascular systems and patient-tailored drug response prediction and titration via a closed loop control.
Hahn is a member of the ASME and IEEE and an Associate Editor of the ASME’s Dynamic Systems and Control Division.