Shiming Yang

Dr. Shiming Yang is an Associate Professor in the Department of Anesthesiology at the University of Maryland School of Medicine. His research focuses on large-scale data analysis, medical sensor signal processing, and developing machine learning algorithms for predicting life-saving interventions and long-term outcomes for trauma patients.

Education includes:

• B.S. Applied Math, University of Electronic Science and Technology of China (2004)
• M.S. Applied Math, University of Maryland, Baltimore County (2008)
• Ph.D. Computer Science, University of Maryland, Baltimore County (2013)

Research interests center around computational approaches to trauma care, including predictive modeling of intracranial pressure dynamics in brain injuries and real-time analysis of vital signs data streams. Current projects involve coupling time-series analysis with Bayesian methods for detecting critical physiological events in transportation and healthcare settings.