Tarek Skouti

© M_Ott

wissenschaftlicher Mitarbeiter

Name

Tarek Skouti (M.Sc.)

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Kontaktinformationen

work Tel.

HÜL N 420

About Me

Ph.D. student in the project Rosi - Role-based Software Infrastructures for continuous-context-sensitive Systems (at Faculty of Computer Science), working in the area of information systems and enterprise modeling at the Chair of Business Informatics, esp. Information Systems in Trade and Industry.

Research Interests

• (Conceptual) Modeling
• Software Architecture
• Process Mining
• eXplainable AI

Current Research Project

Model designers use multiple models to model different aspects. The usage of multiple conceptual models faces the problem of too much or missing overlap. Reducing the number of models necessary to achieve ontological completeness results in less overlap. Using the common concept “Roles” to enrich an industry-accepted BPML to include structure will be enhancing the acceptance by a future user community. I am currently developing a BPMN Extension to include Object Roles.

Publications

• Heinrich, K., Zschech, P., Skouti, T., Griebenow, J., & Riechert, S. (2019). Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. AMCIS 2019 Proceedings. Available on https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/8