Friedrich Menhorn, M.Sc.

Technical University of Munich

Department of Informatics
Boltzmannstr. 3
85748 Garching
Germany

Office: MI 02.05.040
Mail: menhorn (at) in.tum.de
Tel: +49-89-289-18613 (usually easier to reach me via email)
Office Hours: by arrangement

 

Background

Research interests

  • uncertainty quantification for forward problems
  • multilevel and multi-fidelity methods
  • optimisation under uncertainty
  • inverse problems

If you are interested in a student project (Bachelor's or Master's Thesis or IDP or anything else), please contact me directly.

Theses advised

2020

  • Raffel Düll; Shubham Khatri; Teodor Rotaru; Felix Sievers: High Performance Vehicle Dynamics Model for Autonomous Driving Simulation. Projektarbeit, 2020 mehr…

2019

  • Jonas Donhauser: Radial Basis Function Surrogates for Derivative-Free Optimization in NOWPAC. Bachelorarbeit, 2019 mehr…
  • Kislaya Ravi: Neural Network Hyperparameter Optimization using SNOWPAC. Masterarbeit, 2019 mehr…
  • Peer Breier; Qunsheng Huang; Moritz Krügener; Oleksander Voloshyn; Mengjie Zhao: Machine Learning and Simulation for Grid Optimization. Projektarbeit, 2019 mehr…

2018

  • Congyu Zou: Commonality Optimization in the Field of Chrashworthiness. Masterarbeit, 2018 mehr…
  • Hasan Ashraf; Pei-Hsuan Huang; Felix Lachenmaier; Kirill Martynov; Dmytro Sashko; Jan Sültemeyer: Interactive preCICE Online Tutorial. Projektarbeit, 2018 mehr…

Teaching

Winter semester 2020/21

  • Einführung in die wissenschaftliche Programmierung [TUMonline], [Moodle]
  • Seminar: Projektmanagement (Überfachliche Grundlagen) [TUMonline], [Moodle]

Previous courses

Summer semester 2020

  • Algorithms for Uncertainty Quantification [TUMonline] [Moodle]
  • Bachelor & Master Seminar: High Dimensional Methods in Scientific Computing [TUMonline] [Moodle]

Winter semester 2019/20

Summer semester 2019

Winter semester 2018/19

Summer semester 2018

Winter semester 2017/18

Summer semester 2017

Publications

2020

  • Daniel T. Seidl; Gianluca Geraci; Ryan King; Friedrich Menhorn; Andrew Glaws; Michael S. Eldred: Multifidelity strategies for forward and inverse uncertainty quantification of wind energy applications. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics, 2020 mehr…
  • Friedrich Menhorn; Gianluca Geraci; Daniel T. Seidl; Michael S. Eldred; Ryan N. King; Hans-Joachim Bungartz; Youssef M. Marzouk: Higher moment multilevel estimators for optimization under uncertainty applied to wind plant design. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics, 2020 mehr…

2019

  • Gianluca Geraci; Friedrich Menhorn; Xun Huan; Cosmin Safta; Youssef Marzouk; Habib N. Najm; Michael S. Eldred: Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig. AIAA Scitech 2019 Forum, American Institute of Aeronautics and Astronautics, 2019 mehr…

2018

  • Friedrich Menhorn; Gianluca Geraci; Michael S. Eldred; Youssef M. Marzouk: Multifidelity Optimization under Uncertainty for a Scramjet-Inspired Problem. ECCM-ECFD 2018, 2018 mehr…

2017

  • Menhorn, Friedrich: Derivative-Free Stochastic Constrained Optimization using Gaussian Processes, with Application to a Scramjet. Masterarbeit, 2017 mehr…

2016

  • Saumitra Joshi; Juan Carlos Medina; Friedrich Menhorn; Severin Reiz; Benjamin Rüth; Erik Wannerberg; Anna Yurova: CAD-integrated Topology Optimization (BGCE Honours Project). , 2016 mehr…

2014

  • Menhorn, Friedrich: Uncertainty Quantification in Incompressible Flow using Sparse Grids. Bachelor's thesis, 2014 mehr…

Posters

2018

  • Menhorn, Friedrich; Farcas, Ionut-Gabriel; Neckel, Tobias; Bungartz, Hans-Joachim: Multilevel Adaptive Squared Sparse Grid Stochastic Collocation. SIAM Conference on Uncertainty Quantification, Society for Industrial and Applied Mathematics, 2018 mehr…

2017

  • Menhorn, Friedrich; Neckel, Tobias: Adaptive Sparse Grid Stochastic Collocation for Random Ordinary Differential Equations. SIAM Conference on Computational Science and Engineering 2017Atlanta, Georgia, USA mehr…

2015

  • Menhorn, Friedrich; Neckel, Tobias: Uncertainty Quantification in Incompressible Flow using Sparse Grids. SIAM Conference on Computational Science and Engineering 2015Salt Lake City, Utah, USA mehr…

Talks

2021

  • Friedrich Menhorn: Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty. SIAM Conference on Computational Science and Engineering 2021, 2021 mehr…
  • Friedrich Menhorn: Multifidelity derivative-free optimization under uncertainty for wind plants. WCCM XIV/ ECCOMAS 2021, 2021 mehr…
  • Friedrich Menhorn: Multifidelity strategies for optimization under uncertainty of wind power plants. AIAA Scitech 2021 Forum, 2021 mehr…

2019

  • Friedrich Menhorn: Near-optimal noise control in derivative-free stochastic optimization. International Conference on Continuous Optimization, 2019 mehr…
  • Friedrich Menhorn: Derivative-free Multifidelity Design Optimization under Uncertainty of a Scramjet. SIAM Conference on Computational Science and Engineering , 2019 mehr…
  • Friedrich Menhorn: Derivative-free optimization under uncertainty using multifidelity sampling. International Congress on Industrial and Applied Mathematics, 2019 mehr…
  • Friedrich Menhorn: Near-optimal smoothing in derivative-free stochastic optimization. UQOP: Uncertainty Quantification and OPtimization, 2019 mehr…

2018

  • Friedrich Menhorn: Scramjet Design Optimization using SNOWPAC in Dakota. WCCM 2018, 2018 mehr…
  • Friedrich Menhorn: Integrating SNOWPAC in Dakota with Application to a Scramjet. SIAM Conference on Uncertainty Quantification, 2018 mehr…
  • Menhorn, Friedrich: Multilevel Adaptive Squared Sparse Grid Stochastic Collocation. Sparse Grids and Applications 2018, 2018Garching, Germany mehr…