Albert Gilg

Albert Gilg is a Professor at the Technical University of Munich (TUM), affiliated with the Department of Mathematics and the TUM School of Computation, Information and Technology. His work focuses on numerical analysis and computational methods for real-world applications in science and engineering.

Research Interests:

• Modelling and Analysis of complex systems
• Numerical methodologies for partial differential equations
• High Performance Computing (HPC) and parallel algorithms
• Uncertainty quantification and surrogate models
• Applications in fluid dynamics, biomedical engineering, and geophysics

He contributes to interdisciplinary projects such as simulating cerebral aneurysms, seismic impacts on structures, and methane gas hydrate reservoirs. His team collaborates on third-party funded initiatives by the DFG, EU, and Gauss Centre for Supercomputing.

Advising and Grants:

• Focus on numerical methods for fractional differential equations
• Development of energy-corrected finite elements
• Leadership in the Numerical Analysis research group at TUM