Xun Huan, BASc, SM, PhD
Assistant Professor
Mechanical Engineering
Engineering
PhD, Computational Science and Engineering, MIT
SM, Aeronautics and Astronautics, MIT
Xun (Ryan) Huan is an Assistant Professor of Mechanical Engineering at the University of Michigan. Prior to U-M, he was a postdoctoral researcher at Sandia National Laboratories in Livermore, California. His research involves developing computational methods and tools for uncertainty quantification, machine learning, and numerical optimization. He is particularly interested in optimal experimental design, Bayesian analysis, multilevel and multifidelity methods, model misspecification, and scientific computing. Some of his current projects include creating data-driven models for balance training of older adults, and quantifying the uncertainty from deep learning models used in computational medicine.
Projects:
Funded 2019 Investigators Award -- "Personalized Data-driven Balance-Training Instruction and Assessment for Older Adults
University Affiliation(s)
MICDE | MIDAS
Research Area(s)
Balance training | Bayesian Modeling | Data science / Analytics / AI | Deep neural networks | Mathematical modeling & statistical analysis
Publications
- Variational system identification of the partial differential equations governing the physics of pattern-formation: Inference under varying fidelity and noise
- Simulation-based optimal Bayesian experimental design for nonlinear systems
- Design analysis for optimal calibration of diffusivity in reactive multilayers