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Applications:
Complex Systems, Engineering, Environmental and Climate Research, Healthcare Research, Informatics, Physical Science
Methodologies:
Bayesian Methods, Causal Inference, Data Integration, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Networks, Optimization, Statistics

Eunshin Byon

Professor of Industrial and Operations Engineering

Industrial and Operations Engineering, College of Engineering
Civil and Environmental Engineering, College of Engineering

Associate Professor of Industrial and Operations Engineering, College of Engineering

Dr. Byon’s research interests include reliability evaluation, fault diagnosis/condition monitoring, predictive modeling and data analytics, and operations and maintenance decision-making for stochastic systems. Her recent research focuses on uncertainty quantification of stochastic systems using stochastic simulations, reliability analysis and improvement of large-scale, interconnected systems with applications to renewable power power systems and manufacturing processes. She is a member of IIE, INFORMS, and IEEE.


Accomplishments and Awards