Professor Markus Stumptner

Professor Markus Stumptner is the Director of the Advanced Computing Research Centre. His research interests include knowledge representation and model-based reasoning, object-oriented methods for system design and integration, model-based diagnosis and debugging, as well as ontology learning and data mining.

Knowledge and Software Engineering Lab

Advanced Computing Research Centre Homepage

School of Computer and Information Science

• Artificial Intelligence
• Databases/Data Modelling
• Software Technology
• Ontologies

Member, ACM, IEEE CS, ACS Steering Committee for AI and Expert Systems.

Area Editor for Model-Based Reasoning, AI Communications. Editorial Board member, AI for Engineering Design, Analysis, and Manufacturing (AI EDAM).

Co-Chair and Organiser for 2009 Workshop on Configuration (to be held at the European Conf. for Artificial Intelligence, ECAI 2004)

Co-Chair and Organiser for 2009 Workshop on Configuration (held at the Int'l Joint Conf. for Artificial Intelligence, Pasadena, July 2009)

Committee Member for ECAI 04, APCCM 07-10, ADC 04-10, AI 04-07, AASWEC 07/08, IFIP IIP 04, QSIC 04-07, IJCAI 03, AP2PC 03/04, DX 03/05-10, AADEBUG 03/05, and other conferences and workshops.

Editor, Special Issue on Configuration: AI in Engineering Design, Analysis, and Manufacturing (AI EDAM), 2003. Special Issue on Industrial Applications of Model-Based Diagnosis: AI Communications, 2002.

• The Software and Knowledge Engineering Lab studies high level descriptions of programming and problem solving tasks, with the goal of more effective and less maintenance effective software development for specific domains. Work ranges from the analysis of classic software engineering methods such as UML state charts (involving the identification of consistency conditions for inheritance and application integration) to knowledge representation and reasoning methods such as ontologies and model-based reasoning. Applications of these techniques are found in such diverse areas as business process and web service integration, diagnosis/software debugging, product configuration, and the Semantic Web.

Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner: Consistency-based diagnosis of configuration knowledge bases. Artif. Intell. 152(2): 213-234 (2004)

Markus Stumptner and Michael Schrefl and Georg Grossmann. On the road to Behavior-Based Integration. Proceedings Australo-Pacific Conference on Conceptual Modelling (APCCM 04). Dunedin, New Zealand, 2004.

Wolfgang Mayer and Markus Stumptner. Extending Diagnosis to Debug Programs with Exceptions. 18th IEEE International Conference on Automated Software Engineering. Montreal, Canada, October 2003. 240-244

Markus Stumptner and Franz Wotawa: Coupling CSP Decomposition and Diagnosis for Tree-Structured Systems. Proceedings 18th International Joint Conference on Artificial Intelligence (IJCAI 03), Acapulco, August 2003.

Felfernig, A., G. Friedrich, D. Jannach, M. Stumptner and M. Zanker. "Configuration Knowledge Representation for Semantic Web Applications." Artificial Intelligence for Engineering, Design, Analysis and Manufacturing (AI EDAM) 17(1), 2003.

Mayer, W. and M. Stumptner (2003). Model-Based Debugging using Multiple Abstract Models. Fifth International Workshop on Automated Debugging (AADEBUG2003). Ghent, Belgium

Mayer, W., F. Wotawa and M. Stumptner (2003). Debugging Program Exceptions. Proceedings of the Fourteenth International Workshop on Principles of Diagnosis (DX 2003). Washington, D.C.

Wolfgang Mayer, Markus Stumptner, Franz Wotawa. Debugging Program Exceptions. 14th International Workshop on Principles of Diagnosis (DX03), Washington, D.C., June 2003.

Sistine Barretto, Jim Warren, Andrew Goodchild, Linda Bird, Sam Heard, Markus Stumptner. Linking Guidelines to Electronic Health Record Design for Improved Chronic Disease Management. Symposium of American Medical Informatics Association (AMIA 03), Washington, D.C., 2003.

Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner, Markus Zanker: Transforming UML Domain Descriptions into Configuration Knowledge Bases. Knowledge Transformation for the Semantic Web (Klein and Omelayenko, eds.). IOS Press 2003: 154-168

Yalei Hao and Gerald Quirchmayr and Markus Stumptner. Data Mining By MOUCLAS: A Fuzzy Approach To Classification Over Quantitative Data In High Dimensional Databases, International Conference on Fuzzy Information Processing, Theories and Applications (FIP 2003), Beijing, 2003.

I am able to provide media comment in the following areas of expertise:

Discipline: Computer Science

• Artificial Intelligence
• Database Design and Object-Oriented Modelling
• Ontologies and Semantic Web Technology
• Intelligent Diagnosis
• Product Configuration and Mass Customization