Dominik Krupke Wissenschaftlicher Mitarbeiter Technische Universität Braunschweig Carl Friedrich Gauß Faculty Department of Computer Science Institute of Operating Systems and Computer Networks Room 332 Mühlenpfordtstraße 23, 3rd floor 38106 Braunschweig Phone: +49 531 3913116 Fax: +49 531 3913109 EMail: krupke[[at]]ibr.cs.tu-bs.de

Research

I try to maintain a list of all my publications on my homepage https://krupke.cc/publications/. See also my Google Scholar profile for a possibly more up to date list.

Here is a small selection of my publications:

• Distributed cohesive control for robot swarms: Maintaining good connectivity in the presence of exterior forces IROS, 2015
• Practical Methods for Computing Large Covering Tours and Cycle Covers with Turn Cost ALENEX, 2019
• Covering Tours and Cycle Covers with Turn Costs: Hardness and Approximation CIAC, 2019 BEST PAPER AWARD

Projects

I have been involved in multiple projects

• ASIMOV ("Automated conStellatIon Management Of space Vehicles") for the European Space Agency (ESA) in cooperation with IRAS and Planet.com
• Multiple projects for Volkswagen
• CG:SHOP Competition @ SoCG 2019

Awards

• Best Paper Award at CIAC 2019 in Rome. Sponsored by Springer with 1000Euro
• Preis der Gesellschaft für Informatiker e.V. für herausragende Studienleistungen im Masterstudiengang Informatik (2017)
• Preis der Gesellschaft für Informatiker e.V. für herausragende Studienleistungen im Bachelorstudiengang Informatik (2014)

Teaching

Assistant

• SS19:Software Entwicklungs Praktikum, Seminar (Master)
• WS18/19:Mathematische Methoden der Algorithmik
• SS18:Software Entwicklungs Praktikum, Seminar (Bachelor, Master)
• WS17/18:Mathematische Methoden der Algorithmik, Seminar (Bachelor, Master)
• SS17:Approximation Algorithms, Seminar (Bachelor, Master)
• WS16/17:Algorithm Engineering 0, Seminar (Bachelor, Master)

Supervised Theses

Finished

• Algorithmic Methods For Capturing Maximum Weight Geometric Subsets
• Automated Analysis for Algorithm Engineerig with Machine Learning
• Lösungsansätze für das Budget Traveling Salesman Problem mit GPGPUs

Running