Elisaveta Boriskova; Andrea De Girolamo; Piyush Karki; Manish Kumar Mishra; Aditya Phopale; Meike Tütken: Energy++ - An Intuitive System for Improving Building Efficiency. Projekt thesis, 2023 more…
2022
Amr Elsharkawy: Voronoi Piecewise Surrogate Models for Derivative-Free Nonlinear Stochastic Optimization. Master thesis, 2022 more…
Kanishk Bhatia; Anastasia Golovin; Laura Reimoser; Patrick Schmidt; Valentina Schüller; Valentin Seitz; Lukas Stockner: Parallel Nonlinear Solvers for the Simulation of Integrated Circuits. Projekt thesis, 2022 more…
Maternus Herold: Projection-based Model Order Reduction using Autoencoders in Nonlinear Finite Elemente Analysis. Master thesis, 2022 more…
2021
Aristotelis Economides; Binu Amaratunga; Carme Homs Pons; Edrick Solis Gonzales; Rebekka Karrer: Analog Circuit Simulator. Projekt thesis, 2021 more…
Davide Giovanni Bottero: Development of a statistical approach to predict waste production in urban areas. Master thesis, 2021 more…
2020
Raffel Düll; Shubham Khatri; Teodor Rotaru; Felix Sievers: High Performance Vehicle Dynamics Model for Autonomous Driving Simulation. Projekt thesis, 2020 more…
2019
Jonas Donhauser: Radial Basis Function Surrogates for Derivative-Free Optimization in NOWPAC. Bachelor thesis, 2019 more…
Peer Breier; Qunsheng Huang; Moritz Krügener; Oleksander Voloshyn; Mengjie Zhao: Machine Learning and Simulation for Grid Optimization. Projekt thesis, 2019 more…
2018
Congyu Zou: Commonality Optimization in the Field of Chrashworthiness. Master thesis, 2018 more…
Hasan Ashraf; Pei-Hsuan Huang; Felix Lachenmaier; Kirill Martynov; Dmytro Sashko; Jan Sültemeyer: Interactive preCICE Online Tutorial. Projekt thesis, 2018 more…
Teaching
Winter semester 2020/21
Einführung in die wissenschaftliche Programmierung [TUMonline], [Moodle]
Menhorn, Friedrich; Geraci, Gianluca; Seidl, D. Thomas; Marzouk, Youssef M.; Eldred, Michael S.; Bungartz, Hans-Joachim: Multilevel Monte Carloe Estimators For Derivative-Free Optimization Under Uncertainty. International Journal for Uncertainty Quantification 14 (3), 2024, 21-65 more…
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 more…
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 more…
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 more…
2018
Friedrich Menhorn; Gianluca Geraci; Michael S. Eldred; Youssef M. Marzouk: Multifidelity Optimization under Uncertainty for a Scramjet-Inspired Problem. ECCM-ECFD 2018, 2018 more…
2017
Menhorn, Friedrich: Derivative-Free Stochastic Constrained Optimization using Gaussian Processes, with Application to a Scramjet. Master thesis, 2017 more…
2016
Saumitra Joshi; Juan Carlos Medina; Friedrich Menhorn; Severin Reiz; Benjamin Rüth; Erik Wannerberg; Anna Yurova: CAD-integrated Topology Optimization (BGCE Honours Project). , 2016 more…
2014
Menhorn, Friedrich: Uncertainty Quantification in Incompressible Flow using Sparse Grids. Bachelor's thesis, 2014 more…
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 more…
2017
Menhorn, Friedrich; Neckel, Tobias: Adaptive Sparse Grid Stochastic Collocation for Random Ordinary Differential Equations. SIAM Conference on Computational Science and Engineering 2017Atlanta, Georgia, USAmore…
2015
Menhorn, Friedrich; Neckel, Tobias: Uncertainty Quantification in Incompressible Flow using Sparse Grids. SIAM Conference on Computational Science and Engineering 2015Salt Lake City, Utah, USAmore…
Friedrich Menhorn: Multilevel Monte Carlo for derivative-free optimization under uncertainty. SIAM UQ 2022, 2022 more…
Friedrich Menhorn: Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants. ECCOMAS Congress 2022, 2022 more…
2021
Friedrich Menhorn: Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty. SIAM Conference on Computational Science and Engineering 2021, 2021 more…
Friedrich Menhorn: Multifidelity derivative-free optimization under uncertainty for wind plants. WCCM XIV/ ECCOMAS 2021, 2021 more…
Friedrich Menhorn: Multifidelity strategies for optimization under uncertainty of wind power plants. AIAA Scitech 2021 Forum, 2021 more…
2019
Friedrich Menhorn: Near-optimal noise control in derivative-free stochastic optimization. International Conference on Continuous Optimization, 2019 more…
Friedrich Menhorn: Derivative-free Multifidelity Design Optimization under Uncertainty of a Scramjet. SIAM Conference on Computational Science and Engineering , 2019 more…
Friedrich Menhorn: Derivative-free optimization under uncertainty using multifidelity sampling. International Congress on Industrial and Applied Mathematics, 2019 more…
Friedrich Menhorn: Near-optimal smoothing in derivative-free stochastic optimization. UQOP: Uncertainty Quantification and OPtimization, 2019 more…
2018
Friedrich Menhorn: Scramjet Design Optimization using SNOWPAC in Dakota. WCCM 2018, 2018 more…
Friedrich Menhorn: Integrating SNOWPAC in Dakota with Application to a Scramjet. SIAM Conference on Uncertainty Quantification, 2018 more…