Markus Ullrich, M. Sc.

Dr. -Ing.
Markus Ullrich
m.ullrich(at)hszg.de
02826 Görlitz
Brückenstraße 1
Building G II, Room A206
1. Obergeschoss
+49 3581 374 4353
+49 3581 374 3579

Short CV

01/2017 - 03/2017

Internship at the National Institute of Informatics (NII) in Tokyo, Japan - granted by the DAAD Germany via the FIT weltweit program

04/2015 - today

PhD in Computer Science at Faculty of Computer Science, Technische Universität Chemnitz

04/2012 - today

Research Associate at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz

10/2010 - 07/2012

Master of Computer Science at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz
(Master's thesis: Design, Implementation and Test of a Job Manager to Transparently Execute Data Mining Tasks at the Amazon Cloud)

10/2009 - 01/2012

Software Developer at Decision Optimization GmbH, Design, Implementation, Test and Benchmarking of Data Mining Algorithms for Predictive Maintenance

10/2007 - 08/2010

Bachelor of Computer Science at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz
(Bachelor's thesis: Predictive Maintenance Optimization of Decision Evaluation with True Utility)

Certificates / Completed Courses

06.12.2016

Data Scientist Course - Big Data Analytics, Fraunhofer IAIS, Schloss Birlinghofen, Sankt Augustin

24.06.2014

Data Scientist Course - Big Data Architecture, Fraunhofer IAIS, Schloss Birlinghofen, Sankt Augustin

18.01.2011

Successful Completion of a real SOA-integration project, in cooperation with SAG Deutschland GmbH

24.04.2009

ISTQB Certified Tester – Foundation Level, SQS Software Quality Systems AG, Görlitz

Teaching

Lectures

2014 - 2018

Business Process Management and Business Informatics 1, at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz

Lab Sessions

2013 - 2018

Business Process Management and Business Informatics 1, at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz

2012 - 2013


Business Process Management and Business Informatics 2, at Faculty of Electrical Engineering and Computer Science, University of Applied Science Zittau/Görlitz

Projects

2015 - today
SERVING
2015
NXTM
2012 - 2014SustainableITServices

Working Fields

  • Data mining
  • Cloud computing
  • Distributed Systems
  • Modeling, Simulation, Optimization

Related Publications

  1. M.ULLRICH, D. MÜSSIG, J. LÄSSIG. Architectural Challenges of Monitoring and Managing the Distribution Grid, In Oberlausitzer Energiesymposium & Zittauer Energieseminar (OLES 2019), November 2019, Zittau, Germany, pp. 7-13, ISBN: 978-3-00-064125-1. [BibTex]
  2. M. ULLRICH, J. LÄSSIG, J. SUN, M. GAEDKE, K. AIDA. A Benchmark Model for the Creation of Compute Instance Performance Footprints, In The 11th International Conference on Internet and Distributed Computing Systems (IDCS'18), October 2018, Tokyo, Japan, pp. 221-234, ISBN: 978-3-030-02738-4. [BibTeX] [online resource]
  3. M. ULLRICH, T. WEISE, A. AWASTHI, J. LÄSSIG. A Generic Problem Instance Generator for Discrete Optimization Problems, In BB-DOB Workshop at The Genetic and Evolutionary Computation Conference (GECCO'18), July 2018, Kyoto, Japan. [BibTeX] [online resource] [pdf (external)]
  4. M. ULLRICH, J. LÄSSIG, M. GAEDKE, K. AIDA, J. SUN, T. TANJO. An Application Meta-Model to Support the Execution and Benchmarking of Scientific Applications in Multi-Cloud Environments, In ADMCS Workshop at the 3rd IEEE Conference on Cloud and Big Data Computing (CBDCom 2017), August 2017, San Francisco Bay Area, USA. [BibTeX] [online resource] [pdf]
  5. N. SCHLITTER, M. ULLRICH, J. LÄSSIG. Scalability and Performance of the Privacy-Aware Classification Method GenPAC, In 14th Annual Conference on Privacy, Security and Trust (PST 2016), December 2016, Auckland, New Zealand. [BibTeX] [online resource] [pdf (external)]
  6. M. ULLRICH, J. LÄSSIG, M. GAEDKE. Towards Efficient Resource Mangement in Cloud Computing: A Survey. The IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud 2016), August 2016, Vienna, Austria. [BibTeX] [online resource] [pdf]
  7. M. ULLRICH, J. LÄSSIG. Current Challenges and Approaches for Resource Demand Estimation in the Cloud. In Proceedings of the 2013 International Conference on Cloud Computing and Big Data (CloudCom-Asia 2013), December 2013, Fuzhou, China, pp. 1265-1272, ISBN 978-1-4673-2172-3. [BibTeX] [online resource] [pdf]
  8. M. ULLRICH, K. TEN HAGEN, J. LÄSSIG. A data mining approach to reduce the number of maintenance visits in the medical domain. In Proceedings of the 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2013), September 2013, Berlin, Germany, pp. 255-258, ISBN: 978-1-4799-1426-5. [BibTeX]  [online resource] [pdf]
  9. J. LÄSSIG, M. ULLRICH. Enterprise Application Integration - the Cloud Perspective, In Proceedings of the 13th International Conference on Web Engineering (ICWE 2013), July 2013, Aalborg, North Denmark, pp. 522-525, ISBN: 978-3-642-39200-9. [BibTeX] [pdf (external)] [online resource]
  10. M. ULLRICH, J. LÄSSIG, K. TEN HAGEN. Implementing Cloud Extensions for Desktop Applications. 14. Nachwuchswissenschaftlerkonferenz (NWK 2013), April 2013, Brandenburg, Germany, pp. 151-156, ISBN: 978-3-86488-037-7, nominated for best paper award. [BibTeX] [undefinedpdf (external)]
  11. M. ULLRICH, K. TEN HAGEN, J. LÄSSIG. Public Cloud Extension for Desktop Applications - Case Study of a Data Mining Solution. In Proceedings of the 2nd IEEE Symposium on Network Cloud Computing and Applications (NCCA 2012), December 2012, London, UK, IEEE Computer Society, pp. 53-64, ISBN: 978-1-4673-5581-0. [BibTeX] [pdf (external)] [online resource]