Forschung

• Methoden der Automatisierungstechnik und Regelungstheorie
• Kognitive Technische Systeme

Kurzvita

Veröffentlichungen

• Sarkheyli-Hägele, A.; Söffker, D.: Integration of Case-Based Reasoning and Fuzzy Approaches for Real-time Applications in Dynamic Environments: Current Status and Future Directions. Artificial Intelligence Review, Springer Netherlands, 2019, pp. 1-32.[PDF][Link]
• Sarkheyli-Hägele, A.; Söffker, D.: Learning and representation of event-discrete situations for individualized situation recognition using fuzzy SOM-based CBR. Engineering Applications of Artificial Intelligence, 72, 2018, pp. 357-367.[Link]
• Tanshi, F.; Sarkheyli-Hägele, A.; Wang, J.; Söffker, D.: Analysis of Driver Assistance and Supervision Approaches with Respect to Research Goals and Cognitive Efficiency. 7. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Braunschweig (DLR), June 21-22, 2018.
• Sarkheyli-Hägele, A.; Söffker, D.: Online learning for an individualized lane-change situation recognition applied to driving assistance system. IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2017), SAVANNAH, GA, March 27-31, 2017, pp. 1-6.
• Sarkheyli-Hägele, A.; Söffker, D.: Individualized situation recognition and its importance for supervision of human driver operators. 6. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, München, March 27-29, 2017.
• Sarkheyli-Hägele, A.; Söffker, D.: Fuzzy SOM-based Case-Based Reasoning for individualized situation recognition applied to supervision of human operators. Journal of Knowledge-Based Systems, 2017, pp. 1-12.
• Sarkheyli, A.; Söffker, D.: Feature Selection for Situation Recognition in Fuzzy SOM-based Case-Based Reasoning. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), San Diego, USA, March 21-25, 2016, pp. 145-151.[Link]
• Sarkheyli, A.; Söffker, D.: Reliable Situation Recognition based on case-based reasoning for individualized supervision of human operator. 5. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Bochum, März 14-16, 2016.
• Sarkheyli, A.; Söffker, D.: Automatic selection of relevant features using Rough Set Theory for real-time situation recognition based on fuzzy SOM-based CBR. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest, Hungary, October 9-12, 2016, pp. 832-837.[Link]
• Sarkheyli, A.; Söffker, D.: Case indexing in Case-Based Reasoning by applying Situation-Operator Model as knowledge representation model. IFAC-PapersOnLine, Vol. 48(1), 2015, pp. 81-86.[PDF]
• Sarkheyli, A.; Söffker, D.: Knowledge Structure of Case-Based Reasoning in Trargeting of Case-Base Refinement. 4. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Bielefeld, März 23-25, 2015.
• Muthig, O.; Sarkheyli, A.; Söffker, D.: Situierte Entscheidungsunterstützung für komplexe Einsatzszenarien: Anforderungen und Realisierungsvorschläge. Tagungsband DGLR L6.4 Anthropotechnik 57. Fachausschusssitzung, Rostock, 2015, pp. 45-60.
• Söffker, D.; Muthig O.; Hägele, G.; Sarkheyli, A.; Rothe, S.: Automat oder/und Mensch - Assistenz, Führung, wechselnde Rollenverteilung: Überlegungen zur Berechnung und Steigerung der Gesamtsystemverlässlichkeit. Tagungsband DGLR L6.4 Anthropotechnik 56. Fachausschusssitzung, Ottobrunn, Deutschland, Oktober, 2014, pp. 281-284.