Jiaxiang Yi bio photo

Jiaxiang Yi

PhD candidate at 3ME-MSE TUdelft

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I am a PhD candidate at Department of Material Science and Engineering, TU Delft. My research interests are machine learning methods and computational mechanics. My PhD project focuses on using machine learning method to create new composites for recycled polymers. Before I joined TU Delft, I did my Bachelor and Master at Huazhong University of Science and Technology (HUST) of China. During my Master’s career, I dedicated most of my time on investigating active-learning surrogate mothods for reliability abalysis.

Education

Oct. 2021 - Present Delft University of Technology PhD candidate at 3mE-MSE, TU Delft.

  • Promotor: Marcel Sluiter
  • Daily Supervisor : Miguel Bessa
  • Research interests: Probability machine learning, Multi-fidelity methods, Multi-scale simulation

Sep. 2018 - Jun. 2021 Huazhong University of Science and Technology

  • Master of Science: Design and Construction of Naval Architecture and Ocean Structure
  • GPA: 3.91/4.0
  • Master’s thesis: Improved sequential Kriging-Monte Carlo Simulation reliability analysis methods and their applications to ship structural design

Sep. 2014 - Jun. 2018 Huazhong University of Science and Technology

  • Bachelor of Engineering: Naval Architecture and Ocean Engineering
  • GPA: 3.81/4.0
  • Bachelor;s thesis: Strength and stability prediction for cylindical shell with variable ribs via multi-fidelity surrogate model

Current Interests and Projects:

  1. Probability machine learning
  2. Multi-fidelity methods
  3. Multi-scale simulation
  4. GitHub Pages