Event
CHBE Seminar: Dr. Jin-Oh Hahn, UMD
Friday, October 11, 2024
11:00 a.m.
Room 2108 Chemical and Nuclear Engineering Building
Patricia Lorenzana
301-405-1935
plorenza@umd.edu
De-Conflicting Mediation of Closed-Loop Automated Critical Care Treatments
Abstract: Motivated by its potential to provide quality patient care while relieving the workload of clinicians, closed-loop automation is gaining an increasing interest in the domain of critical care medicine. To date, there have been notable advances in closed-loop automation of individual critical care treatments, such as fluid resuscitation and management, vasopressor therapy, anesthesia, and mechanical ventilation. However, how these individual closed-loop automated treatments will interact with each other when simultaneously used remains unknown. In addition, the design of individual treatment control loops has resorted to empiric tuning rather than sound mathematical analysis in many existing methods reported in the literature.
In this talk, I will use closed-loop automated fluid resuscitation and IV sedation as a case scenario to demonstrate that (i) closed-loop automated critical care treatments may conflict with each other; (ii) holistic hemodynamic monitoring to infer internal physiological variables not amenable to direct measurement may be required to detect and resolve such conflicts; and (iii) individual treatment control loops may be mediated by control barrier function-based safety preserving control. We also present a control design approach applicable to robust stabilization of individual treatment control loops with absolute stability guarantee.
I will conclude the talk with future opportunities in closed-loop automation in the critical care arena.
Bio: JIN-OH HAHN (Senior Member, IEEE) received the B.S. and M.S. degrees in mechanical engineering from Seoul National University, in 1997 and 1999, respectively, and the Ph.D. degree in mechanical engineering from Massachusetts Institute of Technology (MIT), in 2008. He is currently with the University of Maryland, where he is a Professor in the Department of Mechanical Engineering, a Fischell Fellow of the Robert E. Fischell Institute for Biomedical Devices, and a Faculty Affiliate of the Applied Mathematics, Statistics, and Scientific Computation (AMSC) Program. His current research interests include applications of dynamical systems, control, machine learning theory to health monitoring, fault diagnostics, and maintenance and treatment of dynamical systems, with an emphasis on health and medicine. He was a recipient of the NIBIB Trailblazer Award from the National Institutes of Health (NIH), in 2023, the IEEE EMBS Most Impactful Paper Award from the IEEE Engineering in Medicine and Biology Society, in 2019, the Faculty Early Career Development (CARRER) Award from the National Science Foundation (NSF), in 2018, the Young Investigator Program Award from the Office of Naval Research (ONR), in 2014, the Young Investigator Grant Award from Korean–American Scientists and Engineers Association (KSEA), in 2013, and the Outstanding Gemstone Mentor Award from the Gemstone Honors Program with the University of Maryland, in 2019. He is an Associate Editor of Journal of Dynamic Systems, Measurement, and Control (ASME) and ACM Transactions on Computing for Healthcare.
