Philipp Schulze

Philipp Schulze is a Researcher and Lecturer at Technische Universität Berlin's Faculty II - Mathematics and Natural Sciences, within the Institute of Mathematics. His primary focus is on modeling, simulation, and optimization of real processes, particularly in the realm of model reduction for complex systems. Current roles include Lecturer for Model Reduction (Summer 2024) and Research Associate in the Department of Modeling, Simulation and Optimization of Real Processes under Prof. Tobias Breiten.

Education:

• Bachelor's in Energy and Process Engineering (2008–2012)
• Master's in Scientific Computing (2011–2014)
• PhD in Mathematics (2023)

Research Interests: Structure-preserving model reduction, port-Hamiltonian systems, numerical methods for transport-dominated phenomena, and applications in fluid dynamics, combustion, and two-phase flows. His work emphasizes energy-based approaches and nonlinear approximation techniques for systems with complex dynamics.

Publications: Recent work focuses on nonlinear embeddings for Hamiltonian systems, error bounds for port-Hamiltonian model reduction, and efficient simulations of wildland fires and two-phase flows. Contributions highlight the development of reduced-order models that preserve physical structures like energy conservation and port-Hamiltonian properties.

Grants & Awards: No specific awards listed, but active in collaborative projects involving digital twins and combustion control.

Labs/Teams: Part of TU Berlin's Modellierung, Simulation und Optimierung realer Prozesse group and previously worked with Prof. Volker Mehrmann's Numerical Mathematics team.