2023

Fuhrländer, Mona ; Schöps, Sebastian (2023):
A Hermite least squares method for minimizing failure probabilities.
In: 11th International Conference on Computation in Electromagnetics (CEM 2023), Cannes, France.
[Poster]

Fuhrländer, Mona ; Schöps, Sebastian (2023):
Hermite-type modifications of BOBYQA for optimization with some partial derivatives.
In: Optimization and Engineering, ISSN: 1389-4420, ARXIV: 2204.05022.
[Article]

Fuhrländer, Mona (2023):
Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering. Technische Universität Darmstadt, Darmstadt. DOI: 10.26083/tuprints-00023038, URN: urn:nbn:de:tuda-tuprints-230386.
[Dissertation]

2022

Huber, Morten ; Fuhrländer, Mona ; Schöps, Sebastian (2022):
Multi-Objective Yield Optimization for Electrical Machines using Gaussian Processes to Learn Faulty Designs.
In: IEEE Transactions on Industry Applications, 59, (2), pp. 1340–1350, ISSN: 0093-9994, DOI: 10.1109/TIA.2022.3211250, ARXIV: 2204.04986.
[Article]

Huber, Morten ; Fuhrländer, Mona ; Schöps, Sebastian (2022):
Multi-Objective Yield Optimization for Electrical Machines.
In: Embedded Software Engineering Kongress 2022, Sindelfingen. URL: https://ese-kongress.de.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2022):
Hermite-type modifications of the derivative-free BOBYQA algorithm.
In: Workshop on Advances in Electromagnetic Research – KWT 2022, Riezlern, Austria. URL: http://maxwell-in-motion.org.
[Poster]

Fuhrländer, Mona ; Schöps, Sebastian (2022):
Hermite least squares optimization for mixed gradient information.
In: 14th Conference on Scientific Computing in Electrical Engineering (SCEE 2022), Amsterdam. URL: https://www.scee-conferences.org/.
[Poster]

Fuhrländer, Mona ; Schöps, Sebastian (2022):
Yield optimization with mixed gradient information.
In: SIAM Conference on Uncertainty Quantification 2022, Atlanta, USA. URL: https://www.siam.org/conferences/cm/conference/uq22.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2022):
Efficient yield optimization with limited gradient information.
In: Progress in Industrial Mathematics at ECMI 2021, volume 39 of Mathematics in Industry, 203–209. Springer. ISBN: 978-3-031-11817-3, DOI: 10.1007/978-3-031-11818-0_27, ARXIV: 2105.07799.
[In Proceedings]

2021

Fuhrländer, Mona ; Schöps, Sebastian (2021):
Yield estimation and optimization based on Gaussian process regression with application in electrical engineering.
In: SIAM Conference on Computational Science and Engineering (CSE) 2021, Texas, USA. URL: https://www.siam.org/conferences/cm/conference/cse21.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2021):
A combination of gradient based and derivative free optimization solvers.
In: Workshop on Advances in Electromagnetic Research – KWT 2021, Virtual Conference. URL: http://maxwell-in-motion.org.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2021):
Efficient yield optimization with limited gradient information.
In: 21st European Conference on Mathematics for Industry (ECMI 2021), Wuppertal. European Consortium for Mathematics in Industry.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2021):
Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach.
In: Advances in Radio Science, ISSN: 1684-9965, DOI: 10.5194/ars-19-1-2021, ARXIV: 2010.04028.
[Article]

2020

Fuhrländer, Mona ; Schöps, Sebastian (2020):
Yield Estimation and Optimization Using Hybrid Gaussian Process Regression and a genetic Multi-Objective Approach.
In: URSI Kleinheubacher Tagung (KHB 2020), Miltenberg. URL: https://www.kh2020.de, YSA Online Session.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2020):
Multi-objective Yield Optimization using Gaussian Process.
In: Workshop on Advances in Electromagnetic Research – KWT 2020, Virtual Conference. URL: http://maxwell-in-motion.org.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2020):
A Blackbox Yield Estimation Workflow with Gaussian Process Regression for Industrial Problems.
In: Journal of Mathematics in Industry, ISSN: 2190-5983, DOI: 10.1186/s13362-020-00093-1, ARXIV: 2003.13278.
[Article]

Fuhrländer, Mona ; Georg, Niklas ; Römer, Ulrich ; Schöps, Sebastian (2020):
Yield Optimization Based on Adaptive Newton-Monte Carlo and Polynomial Surrogates.
In: International Journal for Uncertainty Quantification, 10, (4), pp. 351–373, ISSN: 2152-5080, DOI: 10.1615/Int.J.UncertaintyQuantification.2020033344, ARXIV: 1912.09908.
[Article]

2019

Fuhrländer, Mona ; Schöps, Sebastian (2019):
Adaptive Newton-MC for yield optimization with a hybrid Monte Carlo approach.
In: URSI Kleinheubacher Tagung (KHB 2019), Miltenberg. URL: https://www.kh2019.de.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2019):
Yield optimization with adaptive Newton-MC and a hybrid Monte Carlo approach.
In: Workshop on Advances in Electromagnetic Research – KWT 2019, Riezlern, Austria. URL: http://maxwell-in-motion.org.
[Talk]

Fuhrländer, Mona ; Georg, Niklas ; Schöps, Sebastian (2019):
Yield Estimation and Optimization of Electromagnetic Devices.
In: 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019), Valencia, Spain. URL: https://iciam2019.org.
[Talk]

Fuhrländer, Mona ; Schöps, Sebastian (2019):
Efficient yield optimization of electromagnetic devices.
In: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2019), Wien.
[Talk]

2018

Fuhrländer, Mona ; Schöps, Sebastian ; Schwartz, Alexandra (2018):
Design Centering in the Context of High Frequency Simulation.
In: Workshop on Advances in Electromagnetic Research – KWT 2018, Riezlern, Austria. URL: http://maxwell-in-motion.org.
[Poster]

2017

Fuhrländer, Mona (2017):
Design Centering im Kontext der Hochfrequenzsimulation. Technische Universität Darmstadt, Darmstadt. ISBN: 978-3-03137-018-2, Springer Theses: Recognizing Outstanding Ph.D. Research.
[Master's Thesis]