Research

My research focuses on data driven modeling of complex dynamical system. In particular, we develop theories to show how certain patterns in data can be used as early warning signals for critical transitions.

Professional Experience

• 2017.05 - 2017.08 Software Engineer Intern, Clinc AI, Ann Arbor, MI

Academic Experience

• 2015.01 - 2018.04 PhD, Mechanical Engineering, University of Michigan
• 2013.09 - 2014.12 MS, Naval Architecture and Marine Engineering, University of Michigan
• 2009.09 - 2013.06 BS, Naval Architecture and Marine Engineering, Shanghai JiaoTong University

Publications

• Forecasting bifurcations in parametrically excited systems
  Shiyang Chen, Bogdan Epureanu
  Nonlinear Dynamics
  

• Forecasting bifurcations of multi-degree-of-freedom nonlinear systems with parametric resonance
  Shiyang Chen, Bogdan Epureanu
  Nonlinear Dynamics
  

• Regular biennial cycles in epidemics caused by parametric resonance
  Shiyang Chen, Bogdan Epureanu
  Journal of Theoretical Biology
  

Activity and Services

• Reviewer of Journal of Computational and Nonlinear Dynamics