
Shiming Yang
Associate Professor · Large scale data analysis
University of Maryland, BaltimoreAbout
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.
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