Aobo Yang

Aobo Yang

AI4Science for battery materials discovery · manufacturing optimization

Bio

I am an Advanced AI Engineer at CATL, based in Hong Kong. My work focuses on AI for Science (AI4Science) for materials discovery in EV batteries and energy-storage systems, alongside optimization of manufacturing processes.

I received my Ph.D. in Mechanical Engineering from HKUST, advised by Prof. Rhea Liem. I spent a year at the EPFL Computer Vision Lab, supervised by Prof. Pascal Fua and working closely with Dr. Zhen Wei. I also worked on multidisciplinary design optimization with Prof. John Hwang at UC San Diego.

News

  • [AIAA MDO Best Paper, 2024] - Our paper has won the AIAA MDO Best Paper Award.
  • [AIAA Aviation Best Student Paper, 2024] - Our collaborative paper has won the AIAA Aviation Best Student Paper Award.
  • [HKUST Best Teaching Award, 2024] - I have been granted the HKUST Best Teaching Award.
  • [AIAA Aviation Best Paper Candidate, 2024] - Our paper is selected as the AIAA Aviation Best Paper Competition.

Publications

  • Aobo Yang, Yuan Lyu, Jichao Li, Rhea P. Liem.
    Operation-Aware Aircraft Wing Design Using Cluster-Based Multipoint Aerodynamic Shape Optimization.
    AIAA Journal of Aircraft, 2025.
    https://doi.org/10.2514/1.C038291

  • Zhen Wei, Aobo Yang, Jichao Li, Michaël Bauerheim, Rhea P. Liem, Pascal Fua.
    Automated Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning.
    AIAA Journal, 2025. (in press)

  • Aobo Yang, Jichao Li, Rhea P. Liem.
    Generalizable Multifidelity Aerodynamic Wing Shape Design Optimization.
    AIAA Journal of Aircraft, 2025. (minor revision)

  • Aobo Yang, Zhen Wei, Rhea P. Liem, Pascal Fua.
    Dflow-SUR: Enhancing Generative Aerodynamic Inverse Design using Differentiation Throughout Flow Matching. 2025. (preprint)

  • Aobo Yang, Jichao Li, Rhea P. Liem.
    Multi-fidelity Data-driven Aerodynamic Shape Optimization of Wings with Composite Neural Networks.
    AIAA AVIATION 2023 Forum, San Diego, 2023.
    https://doi.org/10.2514/6.2023-3470

  • Zhen Wei, Aobo Yang, Jichao Li, Michaël Bauerheim, Rhea P. Liem, Pascal Fua.
    DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization.
    AIAA AVIATION FORUM AND ASCEND 2024, Las Vegas, 2024.
    https://doi.org/10.2514/6.2024-3839

  • Jinouwen Zhang, Junjie Ren, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, Shixiang Tang.
    FuncGenFoil: Airfoil Generation and Editing Model in Function Space.
    arXiv preprint, 2025.
    https://arxiv.org/abs/2502.10712

  • Aobo Yang, Jinouwen Zhang, Jichao Li, Rhea P. Liem.
    Data-Driven Aerodynamic Shape Optimization and Multi-Fidelity Design Exploration Using Conditional Diffusion-Based Geometry Sampling Method.
    ICAS 2024 Congress, Florence, 2024.

  • Aobo Yang.
    Large-scale Multidisciplinary Optimization of CubeSat Swarms.
    Master’s Thesis, UC San Diego, 2020.
    https://escholarship.org/uc/item/4t96c4c8