Kunpeng Li

Dr. Kunpeng Li is a Research Fellow affiliated with the School of Physical and Mathematical Sciences and College of Computing and Data Science at Nanyang Technological University (NTU). His work bridges computational methods with physical systems, focusing on advanced algorithm development for engineering applications.

• Education: Ph.D. in Mechanical Engineering from Dalian University of Technology (2023)

Dr. Li’s research centers on surrogate modeling algorithms, multi-source data fusion, and shape-performance integrated digital twins, with a particular emphasis on integrating physics-informed neural networks (PINNs) into plasma turbulence simulations to enhance computational efficiency. His publications highlight innovative approaches to bi-fidelity modeling and hierarchical surrogate architectures.

The recent articles demonstrate a trajectory toward hybridizing machine learning with domain-specific physics, leveraging nonlinear mapping techniques and correlation-based frameworks for multi-fidelity data. These works are published in journals like Structural and Multidisciplinary Optimization and Engineering with Computers, underscoring cross-disciplinary impacts in computational engineering.

• Scientific Awards:
  • Gold Medal at the 2021 International Exhibition of Inventions of Geneva