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Merkle, Robin

Robin Merkle

Dr.

Former Research Assistant
Institute of Applied Analysis and Numerical Simulation
Research Group Computational Methods for Uncertainty Quantification

Contact

+49 711 685 65537
+49 711 685 52022
Email

Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.66

Publications

2022
1. R. Merkle and A. Barth, “Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient,” BIT Numer Math, 2022, [Online]. Available: https://doi.org/10.1007/s10543-022-00912-4
  - BibTeX
  - Link
  BibTeX
  @article{SGRFPDEMLMC, author = {Merkle, R. and Barth, A.}, journal = {BIT Numer Math}, note = {https://doi.org/10.1007/s10543-022-00912-4}, title = {Multilevel {M}onte {C}arlo estimators for elliptic {PDE}s with {L}évy-type diffusion coefficient}, url = {https://doi.org/10.1007/s10543-022-00912-4}, year = 2022 }
  Link
  https://doi.org/10.1007/s10543-022-00912-4
2. R. Merkle and A. Barth, “Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations,” Stoch PDE: Anal Comp, 2022, [Online]. Available: https://doi.org/10.1007/s40072-022-00246-w
  - BibTeX
  - Link
  BibTeX
  @article{SGRFPDE, author = {Merkle, R. and Barth, A.}, journal = {Stoch PDE: Anal Comp}, note = {https://doi.org/10.1007/s40072-022-00246-w}, title = {Subordinated {G}aussian Random Fields in Elliptic Partial Differential Equations}, url = {https://doi.org/10.1007/s40072-022-00246-w}, year = 2022 }
  Link
  https://doi.org/10.1007/s40072-022-00246-w
3. R. Merkle and A. Barth, “On some distributional properties of subordinated Gaussian random fields,” Methodol Comput Appl Probab, 2022.
  - BibTeX
  BibTeX
  @article{SGRF, author = {Merkle, R. and Barth, A.}, journal = {Methodol Comput Appl Probab}, note = {https://doi.org/10.1007/s11009-022-09958-x}, title = {On some distributional properties of subordinated {G}aussian random fields}, year = 2022 }
2021
1. A. Barth and R. Merkle, “Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient,” ArXiv e-prints, arXiv:2108.05604 math.NA, 2021.
  - BibTeX
  BibTeX
  @article{SGRFPDEMLMC, author = {Barth, A. and Merkle, R.}, journal = {ArXiv e-prints, arXiv:2108.05604 [math.NA]}, title = {Multilevel {M}onte {C}arlo estimators for elliptic {PDE}s with {L}évy-type diffusion coefficient}, year = 2021 }
2020
1. A. Barth and R. Merkle, “Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations,” ArXiv e-prints, arXiv:2011.09311 math.NA, 2020.
  - BibTeX
  BibTeX
  @article{SGRFPDE, author = {Barth, A. and Merkle, R.}, journal = {ArXiv e-prints, arXiv:2011.09311 [math.NA]}, title = {Subordinated {G}aussian Random Fields in Elliptic Partial Differential Equations}, year = 2020 }
2. A. Barth and R. Merkle, “Subordinated Gaussian Random Fields,” ArXiv e-prints, arXiv:2012.06353 math.PR, 2020.
  - BibTeX
  BibTeX
  @article{SGRF, author = {Barth, A. and Merkle, R.}, journal = {ArXiv e-prints, arXiv:2012.06353 [math.PR]}, title = {Subordinated {G}aussian Random Fields}, year = 2020 }
2018
1. F. Biesinger, D. Meike, B. Krass, and M. Weyrich, “A Case Study for a Digital Twin of Body-in-White Production Systems - General Concept for Automated Updating of Planning Projects in the Digital Factory,” in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 04.09.2018, in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 04.09.2018, vol. 1. IEEE, 2018, pp. 19–26. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8502467
  - BibTeX
  - Link
  BibTeX
  @inproceedings{biesinger2018study, abstract = {Increasing competition in the automotive industrymakes cost-saving integration of more and more vehicle derivatives and variants such as sedans, coupes, cabriolets as well as electrical and combustion engine models into existing production systems necessary. At the same time, the production planners face a major challenge while integrating vehicle bodies-in-white. In contrast to the original concept and rough planning state, the automated production plants are continuously optimized during the detail planning phase as well as after the start of production as a result of improved processes and model upgrading. For fast integration of new vehicles, a current digital image of the real production plant ─ the so-called Digital Twin ─ is groundbreaking. This Digital Twin of a factory consists of a current bill of resources for cost calculation and a current layout planning state. The paper describes a concept for creating a Digital Twin of a body-in-white production system for the concept and rough planning projects. In the internal concept planning phase, planners do cost calculations and layouts for ordering factory suppliers. However, for integration planning, the original concept and rough planning project have to be updated. Therefore, a new concept has been developed which uses current information from the cyber-physical system and a current 3D scan to update the bill of resources and the layout planning on demand. }, address = {Piscataway, NJ}, affiliation = {Biesinger, F (Reprint Author), Univ Stuttgart, Grad Sch Excellence Adv Mfg Engn GSaME, Stuttgart, Germany. Biesinger, Florian, Univ Stuttgart, Grad Sch Excellence Adv Mfg Engn GSaME, Stuttgart, Germany. Meike, Davis; Krass, Benedikt, Mercedes Benz Daimler AG, Digital Factory, Sindelfingen, Germany. Weyrich, Michael, Univ Stuttgart, Inst Ind Automat \& Software Engn, Stuttgart, Germany.}, author = {Biesinger, Florian and Meike, Davis and Krass, Benedikt and Weyrich, Michael}, booktitle = {2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 04.09.2018}, eventdate = {2018-09-04/2018-09-07}, eventtitle = {23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, isbn = {978-1-5386-7108-5}, language = {English}, pages = {19-26}, publisher = {IEEE}, research-areas = {Automation & Control Systems}, title = {A Case Study for a Digital Twin of Body-in-White Production Systems - General Concept for Automated Updating of Planning Projects in the Digital Factory}, unique-id = {ISI:000449334500001}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8502467}, venue = {Torino}, volume = 1, year = 2018 }
  Link
  https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8502467

Teaching

Winter 2021/2022	University of Stuttgart Department of Mathematics	Teaching assistant for the lecture Linear Structures (SimTech)
Summer 2021	University of Stuttgart Department of Mathematics	Teaching assistant for the lecture Advanced numerics of partial differential equations
Winter 2020/2021	University of Stuttgart Department of Mathematics	Teaching assistant for the lecture Introduction to the numerics of partial differential equations
Summer 2020	University of Stuttgart Department of Mathematics	Teaching assistant for the lecture Statistics for economists
Winter 2019/2020	University of Stuttgart Department of Mathematics	Teaching assistant for the lecture Partial differential equations (modeling, analysis and simulation)

Vita

Since 2019	PhD-Student at SimTech and the Institute of Applied Analysis and Numerical Simulation, University of Stuttgart Advisor: Prof. Dr. Andrea Barth
2016 - 2019	Master of Science in Mathematics (minor subject: “Technical Business Administration”), University of Stuttgart, Germany Thesis: “Weak Convergence of Galerkin Finite Element approximations of Lévy SPDEs” Supervisor: Prof. Dr. Andrea Barth
2018 - 2019	Working student at EY – Financial Services, Risk Management, Stuttgart
2017 – 2018	Internship at EY – Financial Services, Risk Management, Stuttgart
2013 - 2016	Bachelor of Science in Mathematics (minor subject: Economics), University of Stuttgart, Germany Thesis: “Modellierung des Preisprozesses von Klimazertifikaten” Supervisor: PD Dr. Jürgen Dippon
2015 - 2017	Undergraduate Assistant at the Institute of Analysis, dynamics and modelling (IADM), University of Stuttgart, Germany

3rd party funding

2015 - 2018	Germany scholarship
2017	Graduation award from Robert Bosch GmbH

Robin Merkle

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Publications

2022

BibTeX

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BibTeX

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BibTeX

2021

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2020

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2018

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Teaching

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Robin Merkle

Contact

Publications

2022

BibTeX

Link

BibTeX

Link

BibTeX

2021

BibTeX

2020

BibTeX

BibTeX

2018

BibTeX

Link

Teaching

Vita

3rd party funding

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