Scholar
Alexander Heinlein
Google Scholar ID: Pb5ZhSIAAAAJ
Delft University of Technology (TU Delft)
Citations & Impact
Citations
1,009
H-index
18
i10-index
31
Publications
20
Co-authors
56
list available
Publications
Resume (English only)
Academic Achievements
- Published paper: High-order discretized ACMS method for the simulation of finite-size two-dimensional photonic crystals; Organized workshop: 'Benchmarking for Scientific Machine Learning in Subsurface Geoscience' at the Lorentz Center in Leiden from April 20 to 24, 2026.
Research Experience
- He is an assistant professor in the Numerical Analysis group of the Delft Institute of Applied Mathematics (DIAM), Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), at the Delft University of Technology (TU Delft).
Background
- His main research areas are numerical methods for partial differential equations and scientific computing, particularly solvers and discretizations based on domain decomposition and multiscale approaches. He is interested in high-performance computing (HPC) and solving challenging problems involving, e.g., complex geometries, highly heterogeneous coefficient functions, or the coupling of multiple physics. More recently, Alexander also started focusing on the combination of scientific computing and machine learning, a new research area also known as scientific machine learning (SciML). Generally, his work includes the development of new methods and their theoretical foundation as well as their implementation on current computer architectures (CPUs, GPUs) and application to real world problems.
Miscellany
- Supervises master and PhD students, including Yuhuang Meng, who will work on machine learning-enhanced numerical solvers and is co-supervised by Jing Zhao.
