Jana Dienstbier – Department Mathematik

M.Sc. Jana Dienstbier

Department of Data Science (DDS)
Professur für Optimization under Uncertainty & Data Analysis

Raum 03.339
Cauerstr. 11
91058 Erlangen

Telefon: +49 9131 85-67184
E-Mail: jana.jd.dienstbier@fau.de
Webseite: https://www.datascience.nat.fau.eu/research/groups/ouda/members/jana-dienstbier/

Publikationen

2023

Dienstbier J., Liers F., Rolfes J.:
Reformulation of Distributionally Robust Problems Depending on Elementary Functions
(2023)
URL: https://arxiv.org/pdf/2301.11185.pdf
BibTeX: Download
Frank U., Dienstbier J., Tischer F., Wawra S., Gromotka L., Walter J., Liers-Bergmann F., Peukert W.:
Multidimensional Fractionation of Particles
In: Separations 10 (2023), Art.Nr.: 252
ISSN: 2297-8739
DOI: 10.3390/separations10040252
BibTeX: Download

2021

Dienstbier J., Aigner KM., Rolfes J., Peukert W., Segets D., Pflug L., Liers F.:
Robust Optimization in Nanoparticle Technology: A Proof of Principle by Quantum Dot Growth in a Residence Time Reactor
In: Computers & Chemical Engineering (2021)
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2021.107618
URL: http://www.optimization-online.org/DB_HTML/2021/02/8262.html
BibTeX: Download

2020

Dienstbier J., Schmölder J., Burlacu R., Liers F., Kaspereit M.:
Global optimization of batch and steady-state recycling chromatography based on the equilibrium model
In: Computers & Chemical Engineering 135 (2020), S. 106687
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2019.106687
BibTeX: Download
(Techreport)