Dirk Schweim | Information Systems and Business Administration

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01/259 (ReWi I)
+49 6131 39 - 22017
+49 6131 39 - 22185
Schweim@Uni-Mainz.de
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Wednesday, 11.00 a.m. - 12.00 p.m.

Research Interests

Machine learning, in particular neural networks
Estimation of Distribution Algorithms (EDAs) for combinatorial optimization problems with variable-length encoding
Genetic Programming

Current research project: EDAs for variable-length encoding problems using neural network models

Lecturer of the course "Wirtschaftsmathematik / Statistik I" (introductory course mathematics for undergraduate students) at the RheinMain University of Applied Sciences (ST 2018)
Exercise for the lecture "Intelligent Information Systems" (ST 2017, ST 2018, ST 2019)
Exercise for the lecture "Entwicklung von betrieblichen Informationssystemen" ("Development of business information systems"; WT 2016/17, WT 2017/18, WT 2018/19, WT 2019/20)
Coordination of the tutorial for the lecture "Internettechnologien und E-Business" ("Web technologies and e-business"; WT 2016/17, WT 2017/18)
Lecturer of the preparation course for the SAP TERP 10 consultant certification (October 2017, September 2018, September/October 2020)
Supervision of Bachelor- and Master seminar work as well as Bachelor and Master theses (since WT 2016/17)
Tutor for "Internet technologies and E-Business" (WT 15/16)

Since 07/2016	Research Assistant at the Chair of Information Systems and Business Administration, Prof. Dr. Franz Rothlauf
10/2013 - 06/2016	Master of Science Management, Johannes Gutenberg University of Mainz
11/2014 - 05/2016	Project Management Assistant at R+V (insurance company, part-time)
11/2013 - 04/2014	Working freelance for IBM Germany
10/2011 - 10/2013	Project Manager for complex IT Infrastructure Projects at IBM Germany
10/2008 - 09/2011	Corporate student at IBM Germany
10/2008 - 09/2011	Bachelor of Science in Business and Computer Science, HWR Berlin - School of Economics and Law

Wittenberg, David; Rothlauf, Franz; Schweim, Dirk: DAE-GP: Denoising Autoencoder LSTM Networks as Probabilistic Models in Estimation of Distribution Genetic Programming, In: ACM Press (Hrsg.): Proceedings of the 2020 Genetic and Evolutionary Computation Conference. 2020. S. 1037-1045
Schweim, Dirk; Thorhauer, Ann; Rothlauf, Franz: On the Non-uniform Redundancy of Representations for Grammatical Evolution: The Influence of Grammars, In: Ryan, Conor; O'Neill, Michael; Collins, JJ (Hrsg.): Handbook of Grammatical Evolution. Springer, Heidelberg, 2018. S. 55-78.
Schweim, Dirk; Rothlauf, Franz: An Analysis of the Bias of Variation Operators of Estimation of Distribution Programming., In: ACM Press (Hrsg.): Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, July 15th-19th 2018. 2018.