DSS
Decision Sciences & Systems
Technical University of Munich
 
s merting

Sören Merting, M.Sc.

Contact Information

E-Mail:  soeren.merting[at]in.tum.de
Phone:  +49 (0) 89 289-17530
Office Boltzmannstr. 3
85748 Garching, Germany
Room:

01.10.056

Hours: by arrangement

Short Bio 

  • since 2015   Research Associate at the Chair for Decision Sciences & Systems (DSS), TU Munich
  • 2012 - 2015 Student Assistant at the Chair Diskrete Mathematik & Grundlagen der Informatik (LSDGI), BTU Cottbus
  • 2013 - 2015 M.Sc Angewandte Mathematik, BTU Cottbus
  • 2011 - 2013 B.Sc Wirtschaftsmathematik, BTU Cottbus

Publications 

S. Merting, P. Karaenke, and M. Bichler. Strategy-Proof Assignment of Bundles with Ordinal Preferences: An Application in Retail Logistics. In V. Nissen, D. Stelzer, S. Straßburger, and D. Fischer, editors, Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Band I, pages 205–216. Universitätsverlag Ilmenau, 2016. [ pdf ]

S. Merting, C. Schwan, and M. Strehler. Routing of Electric Vehicles: Constrained Shortest Path Problems with Resource Recovering Nodes. In G. Italiano and M. Schmidt, editors, 15th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2015), volume 48 of OpenAccess Series in Informatics (OASIcs), pages 29–41, Dagstuhl, Germany, 2015. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. [ link ]

Talks

  • Strategy-Proof Assignment of Bundles: An Application in Retail Logistics  (MKWI 2016, Ilmenau, Germany, 03/2016)
  • Routing of Electric Vehicles: Constrained Shortest Path Problems with Resource Recovering Nodes (ALGO 2015, Patras, Grece, 09/2015)

Teaching

Courses

Student Projects

  • Interdisciplinary Project: Course Allocation with Bundled Preferences, Aykut Uzunoglu, 2016.
  • Bachelor Thesis: Optimization of the Supply for Branches of a Supermarket chain - A Theoretical and Empirical Comparision of Different Models, Armin Hörtreiter, 2016.
  • Bachelor Thesis: Implementation and Performance Analysis of the MAXCU-Algorithm for Matchings with Complementarities, Kevin D. Falkenstein 2016.
  • Master Thesis: Building Lotteries on Matchings with Complementarities, Martin Rauch, 2016. 
Decision Sciences & Systems (DSS), Department of Informatics (I18), Technische Universität München, Boltzmannstr. 3, 85748 Garching, Germany
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