Prof. Dr. Bernd Scheuermann

Schwerpunkte

  • Wirtschaftsinformatik

Forschung

  • Enterprise Software
  • Naturinspirierte Optimierungsalgorithmen
  • Datenbanken
  • Dynamische Optimierung

Vita

seit 09/2014
Professor für Wirtschaftsinformatik, Hochschule Karlsruhe – Technik und Wirtschaft

06/2006-08/2014
Senior Researcher und Projektleiter, SAP SE

05/2012-08/2014
Lehrbeauftragter, Duale Hochschule Baden-Württemberg, DHBW Karlsruhe

10/2011-02/2012
Lehrbeauftragter, Hochschule Karlsruhe – Technik und Wirtschaft

02/2001-04/2004
Research Fellow, University of New South Wales, Sydney, Australien

10/2003-12/2005
Promotion zum Dr. rer. pol., Karlsruher Institut für Technologie (KIT)

08/1999-03/2006
Wissenschaftlicher Mitarbeiter am Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

10/1993-07/1999
Studium Wirtschaftsingenieurwesen, Karlsruher Institut für Technologie (KIT)

09/1998-04/1999
Auslandsstudium, University of Newcastle, Australien

 

Projekte

Laufende Drittmittel-Projekte:

  • AutoBer: Automatisierter Aufbau von sicheren und verständlichen Berechtigungskonzepten für ERP-Systeme. Gefördert durch das BMBF im Programm KMU-Innovativ.
  • Dynamische Optimierung: Industrieprojekt mit SIVIS GmbH Karlsruhe

Abgeschlossene Projekte:

  • XtreemOS: Enabling Linux for the Grid. EU-funded project.
  • ADVANCE: Asynchronous and Dynamic Virtualisation through performance ANalysis to support Concurrency Engineering. EU-funded project.
  • eBadge: Development of Novel ICT tools for integrated Balancing Market Enabling Aggregated Demand Response and Distributed Generation Capacity. EU-funded project.
  • SAP IoT Enablement. SAP project.
  • Big Data in Bio-inspired Optimization Using SAP HANA. Funded by HPI Future SOC Lab.
     

Publikationen (ab 2010)

M. Middendorf and B. Scheuermann. Perspectives of extending runtime reconfigurable computing to the enterprise application domain. In Prof. Of the IEEE International Conference on Industrial Informatics, IEEE, 2010.

B. Scheuermann. Design of a reconfigurable hybrid database system. Proc. of the International IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2010), pages 247-250, IEEE Computer Society, 2010.

W. Cheng, B. Scheuermann, and M. Middendorf. Quick-ACO: Accelerating ant decisions and pheromone updates in ACO. In Proc. of the 11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), LNCS 6622, 238-249, Springer, 2011.

B. Scheuermann, B. T. Iraneus, K. Hammond, A. Shafarenko, C. Jesshope, H. Hertlein, V. Wieser, H. Schöner, B. Moser, and R. Kirner. Concurrent Software Engineering on Multi-core Systems Supported by Statistical Performance Analysis. Software Compentece Center Hagenberg, Technical Report, 2011.

B. Scheuermann. On Applying Runtime Reconfigurable Architectures to the Domain of Enterprise Computing. SAP Community Network, SDN Article DOC-22684, 2012.

C. Grelck, K. Hammond, H. Hertlein, P. Hölzenspies, C. Jesshope, R. Kirner, B. Scheuermann, A. Shafarenko, I. te Boekhorst, and V. Wieser. Engineering Conccurrent Software Guided by Statistical Performance Analysis. Applications, Tools and Techniques on the Road to Exascale Computing, pages 385-396, IOS Press, 2012.

W. Cheng, F. Penczek, C. Grelck, R. Kirner, B. Scheuermann. A.Shafarenko: Modeling streams-based variants of ant colony optimisation for parallel systems — A Dataflow-driven Approach Using S-Net, in Proc. of the 7th International Conference on High-Performance and Embedded Architectures and Compilers (HiPEAC), 2012.

B. Scheuermann. On Multicore Software Engineering in the Enterprise Computing Domain. SAP Community Network, SDN Article DOC-31690, 2012.

F. Penczek, W. Cheng, C. Grelck, R. Kirner, B. Scheuermann, A. Shafarenko. A Data-Flow Based Coordination Approach to Concurrent Software Engineering. Proc. of Data-Flow Execution Models for Extreme Scale Computing (DFM 2012), IEEE, 2012.

B. Scheuermann. On Applying Runtime Reconfigurable Architectures to the Domain of Enterprise Computing. SAP Community Network, SDN Article DOC-22684, 2012.

B. Scheuermann, E. Weinknecht. On the Potential of Big Data Boosting Bio-inspired Optimization. A Study Using SAP HANA. In C. Meinel, A. Polze, G. Oswald, R. Strotmann, U. Seibold, B. Schulzki. Proc. of the HPI Future SOC Lab Day 2015. Hasso-Plattner-Institut (HPI), 2015.

W. Cheng, J. Jordan, B. Scheuermann, and J. Weber. Towards Predictive Analytics for Dynamic Evolutionary Optimization. In C. Meinel, A. Polze, G. Oswald, R. Strotmann, U. Seibold, B. Schulzki. Proc. of the HPI Future SOC Lab Day 2016. Hasso-Plattner-Institut (HPI), 2016.

W. Cheng, J. Jordan, B. Scheuermann. Advanced Dynamic Evolutionary Computing Using SAP HANA. In C. Meinel, A. Polze, G. Oswald, R. Strotmann, U. Seibold, B. Schulzki. Proc. of the HPI Future SOC Lab Day 2016. Hasso-Plattner-Institut (HPI), 2016.

J. Jordan, W. Cheng, B. Scheuermann. Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology. In G. Squillero, K. Sim: Applications of Evolutionary Computation, Proc. of the 20th European Conference on EvoApplications 2017, Part 2, Lecture Notes in Computer Science, vol. 10200, pp. 156-172, Springer Verlag, 2017.

S. Anderer, M. Halbich, B. Scheuermann, S. Mostaghim. Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem. In C.  Sabourin, J.  Merelo, U. O'Reilly, K. Madani, K. Warwick. Proc. of the 9th International Joint Conference on Computational Intelligence – IJCCI, pp. 35-44, 2017.

S. Anderer, T.-H. Vu, B. Scheuermann, S. Mostaghim. Meta Heuristics for Dynamic Machine Scheduling — A Review of Research Efforts and Industrial Requirements. Proc. of the 10th International Joint Conference on Computational Intelligence – IJCCI, 2018.

C. Drumm, M. Knigge, B. Scheuermann, S. Weidner. Einstieg in SAP ERP. Geschäftsprozesse, Komponenten, Zusammenhänge. Erklärt am Beispielunternehmen Global Bike. Rheinwerk-Verlag, 2019.