Data-Driven Scientific Computing

Data-Driven Scientific Computing

Prof. Dr. Martin Siebenborn

Research

  • High performance optimization algorithms
  • Shape optimization and interface identification
  • Algorithmic scalability for PDE constrained optimization
  • Data Management & Analytics

Team

Projects

Funding Period

Project

04/2022 -- 03/2023

HLRN - Computing Time: Developing Scalable Shape Optimization Algorithms for Fluid Dynamicsand Structural Mechanics

04/2020 -- 10/2023

Landesforschungsförderung Hamburg LFF-GK11: Simulation-Based Optimal Design of Dynamic Systems under Uncertainties, URL

04/2020 -- 10/2024

DFG Research Training Group 2583: Modelling, Simulation and Optimization of Fluid Dynamics Applications, URL

12/2019 -- 07/2022

HLRS - Computing Time, Bundesprojekt ACID 44171: ShapeOptCompMat

04/2016 -- 10/2020

DFG Research Training Group 2126: Algorithmic Optimization, URL

Teaching

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Publications

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