Sara Todorovikj
M.Sc. Sara Todorovikj
-
Telefon:+49 371 531-31653
-
E-Mail:
-
Adresse:Reichenhainer Straße 41, 09126 Chemnitz
-
Raum:C47.501 (alt: 2/41/501)
-
Sprechzeiten:Nach Vereinbarung.
Forschungsschwerpunkte
- Kognitive Modellierung
- Prädiktive Modellierung
- Wissensrepräsentation und Schlussfolgern
- Bedingtes und syllogistisches Schlussfolgern
Lebenslauf
Berufserfahrung
- seit 10/2021: Wissenschaftliche Mitarbeiterin, TU Chemnitz, Professur Prädiktive Verhaltensanalyse
- 04/2021 - 10/2021: Hilfswissenschaftlerin, Albert-Ludwigs-Universität Freiburg, Grundlagen der Künstlichen Intelligenz
- 02/2021 - 10/2021: Wissenschaftliche Mitarbeiterin, Syddansk Universitet (SDU), Abteilung für Design und Kommunikation
- 05/2018 - 10/2021: Hilfswissenschaftlerin, Albert-Ludwigs-Universität Freiburg, Cognitive Computation Lab
- 06/2015 - 08/2016: Hilfswissenschaftlerin, Deutsches Forschungszentrum für Künstliche Intelligenz, Robotics Innovation Center Bremen
Bildungsweg und Qualifikationen
- 10/2016 - 10/2020: MSc. Computer Science, Albert-Ludwigs-Universität Freiburg
- 09/2013 - 09/2016: BSc. Computer Science, Jacobs University Bremen
Lehre
- WS 2023/24: Übungsleiterin, Übung: Prädiktive Verhaltensanalyse, TU Chemnitz
- SS 2023: Dozentin, Seminar: Angewandte Verfahren des Maschinellen Lernens, TU Chemnitz
- SS 2023: Übungsleiterin, Übung: Kognitive Modellierung, TU Chmenitz
- WS 2022/23: Dozentin, Seminar: Kognition - Denken, TU Chemnitz
- WS 2022/23: Übungsleiterin, Übung: Prädiktive Verhaltensanalyse, TU Chemnitz
- SS 2022: Dozentin, Seminar: Angewandte Verfahren des Maschinellen Lernens, TU Chemnitz
- SS 2022: Übungsleiterin, Übung: Prädiktive Verhaltensanalyse 2, TU Chemnitz
- WS 2021/22: Übungsleiterin, Übung: Prädiktive Verhaltensanalyse, TU Chemnitz
- WS 2018/19: Tutorin, Image Processing and Computer Graphics, Albert-Ludwigs-Universität Freiburg
Publikationen
- Todorovikj, S., Brand, D., & Ragni, M. (2023). Preferred Mental Models in Syllogistic Reasoning. In Proceedings of the 21st International Conference on Cognitive Modeling. [PDF]
- Todorovikj, S., Brand, D., & Ragni, M. (2022). Predicting Algorithmic Complexity for Individuals. In Proceedings of the 20th International Conference on Cognitive Modeling. [PDF]
- Todorovikj, S., Kettner, F., Brand, D., Beggiato, M., & Ragni, M. (2022). Predicting Individual Discomfort in Autonomous Driving. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society. [PDF]
- Todorovikj, S. & Ragni, M. (2021). How good can an individual's conclusion endorsement be predicted?. In Proceedings of the 19th International Conference on Cognitive Modeling. [PDF]
- Todorovikj, S. & Ragni, M. (2021). Deductive vs. Inductive Instructions: Evaluating the Predictive Powers of Cognitive Models for Conditional Reasoning. In Proceedings of 7th Workshop on Formal and Cognitive Reasoning. [PDF]
- Todorovikj, S., Kern-Isberner, G., & Ragni, M. (2021). On the Cognitive Adequacy of Non-monotonic Logics. In Proceedings of the 19th International Workshop on Non-Monotonic Reasoning. [PDF]
- Ragni, M., Wagner, F., & Todorovikj, S. (2020). The Power of Nonmonotonic Logics to Predict the Individual Reasoner. In Proceedings of the 18th International Conference on Cognitive Modeling. [PDF]
- Todorovikj, S., Friemann, P., & Ragni, M. (2019). A Cross-Domain Theory of Mental Models. In Pacific Rim Knowledge Acquisition Workshop. [PDF]
- Todorovikj, S., Friemann, P., & Ragni, M. (2019). Combining Mental Models and Probabilities: A new Computational Cognitive Approach for Conditional Reasoning. In Proceedings of the 17th International Conference on Cognitive Modeling. [PDF]
Vorträge und Posterpräsentationen
- "Towards Bridging the Gap Between Conditional and Syllogistic Reasoning" @ 45th Annual Meeting of the Cognitive Science Society. Sydney, Australia (Online), July 2023. [slides]
- "Preferred Mental Models in Syllogistic Reasoning" @ 21st International Conference on Cognitive Modeling. Online, June 2023. [slides] [video]
- "Predicting Individual Discomfort in Autonomous Driving" @ 44th Annual Meeting of the Cognitive Science Society. Toronto, Canada (Online), July 2022. [slides]
- "Predicting Algorithmic Complexity for Individuals" @ 20th International Conference on Cognitive Modeling. Online, July 2022. [slides] [video]
- "On the Cognitive Adequacy of Non-monotonic Logics" @ 19th International Workshop on Non-Monotonic Reasoning. Hanoi, Vietnam (Online), November 2021.
- "Deductive vs. Inductive Instructions: Evaluating the Predictive Powers of Cognitive Models for Conditional Reasoning" @ 7th Workshop on Formal and Cognitive Reasoning. Berlin, Germany (Online), September 2021.
- "How good can an individual's conclusion endorsement be predicted?" @ 19th International Conference on Cognitive Modeling. Online, July 2021. [video]
Betreute Abschlussarbeiten
- "Empirical Reanalysis of the BIS-HB using Machine Learning for the Purpose of Intelligence Test Optimisation"
Joshua Blickle (Masterarbeit Psychologie, 2023)
