General Lab Information

Xihaier Luo

Research Staff 3 Computational, Comput. Sci. Mach. Learning, Computational Science Initiative

Xihaier Luo

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

Expertise | Research | Education | Appointments | Publications | Highlights | Awards | Certifications

Expertise

  • Scientific machine learning
  • Uncertainty quantification
  • Stochastic modeling
  • Dynamical systems
  • Numerical PDE

Research Activities

Education

  • Ph.D., University of Notre Dame, 2020.
  • B.S., Beijing Jiaotong University, 2014.

Professional Appointments

Selected Publications

  • Luo X, Kareem A, Yu L, Yoo S (2023) A machine learning-based characterization framework for parametric representation of liquid sloshing. Results in Engineering 18:101148. https://doi.org/10.1016/j.rineng.2023.101148
  • Luo X, Kareem A, Yoo S (2023) Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. Journal of Building Engineering 75:106855. https://doi.org/10.1016/j.jobe.2023.106855
  • Luo X, Nadiga BT, Park JH, et al (2022) A Bayesian Deep Learning Approach to Near-Term Climate Prediction. Journal of Advances in Modeling Earth Systems 14:. https://doi.org/10.1029/2022ms003058
  • Luo X, McCorkle S, Park G, et al (2022) Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://doi.org/10.1109/bibm55620.2022.9995607
  • Luo X, Kareem A (2021) Dynamic Mode Decomposition of Random Pressure Fields over Bluff Bodies. Journal of Engineering Mechanics 147:04021007. https://doi.org/10.1061/(asce)em.1943-7889.0001904
  • Luo X, Kareem A (2020) Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data. Structural Safety 84:101918. https://doi.org/10.1016/j.strusafe.2019.101918
  • Luo X, Kareem A (2019) Deep convolutional neural networks for uncertainty propagation in random fields. Computer-Aided Civil and Infrastructure Engineering 34:1043–1054. https://doi.org/10.1111/mice.12510

Research Highlights

Awards & Recognition

Certifications

Xihaier Luo

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

Xihaier's Links